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Fukuhara H, Nishida H, Takai S, Nawano T, Takehara T, Takai Y, Narisawa T, Kanno H, Yagi M, Yamagishi A, Naito S, Tsuchiya N. Dialysis Duration, Time Interaction, and Visceral Fat Accumulation: A 6-Year Posttransplantation Study. Clin Exp Nephrol 2024; 28:943-952. [PMID: 38658443 DOI: 10.1007/s10157-024-02492-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 03/19/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Kidney transplantation (KT) leads to body composition change, particularly increasing the fat mass. However, limited researches have focused on the long-term follow-up of these changes and factors influencing body composition after KT. METHODS This study evaluated body composition in 31 adult KT recipients, measuring body mass index (BMI), the psoas muscle mass index (PMI) representing muscle mass, visceral and subcutaneous adipose tissue (VAT and SAT) representing fat mass, and skeletal muscle radiodensity (SMR) representing muscle quality before KT and at 2, 4, and 6 years posttransplantation using computed tomography. Linear mixed models (LMM) analyzed temporal changes and contributing factors, while growth curve models assessed influence of these factors on body composition changes posttransplantation. RESULTS Following KT, BMI, and PMI remained stable, while SAT increased significantly, revealing a 1.30-fold increase from baseline 2 years after transplantation. Similarly, a substantial increase in VAT was observed, with a 1.47-fold increase from baseline 2 years after transplantation with a further 1.75-fold increase 6 years after transplantation. In contrast, SMR decreased with a 0.86-fold decrease from baseline after 2 years. VAT increase was significantly influenced by the interaction between posttransplantation and dialysis duration. Growth curve models confirmed this interaction effect persistently influenced VAT increase posttransplantation. CONCLUSIONS The study revealed that KT promoted significant alterations in body composition characterized by increase in the VAT and SAT and a decline in SMR. Notably, dialysis duration and its interaction with posttransplantation duration emerged as significant factors influencing VAT increase.
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Affiliation(s)
- Hiroki Fukuhara
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
| | - Hayato Nishida
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
| | - Satoshi Takai
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
| | - Takaaki Nawano
- Department of Cardiology, Pulmonology, and Nephrology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Tomohiro Takehara
- Department of Cardiology, Pulmonology, and Nephrology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Yuki Takai
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
| | - Takafui Narisawa
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
| | - Hidenori Kanno
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
| | - Mayu Yagi
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
| | - Atsushi Yamagishi
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
| | - Sei Naito
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
| | - Norihiko Tsuchiya
- Department of Urology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan
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Ham DW, Lee J, Choi G, Kwon BT, Song KS. The cross-sectional area of gluteal muscle on multiaxial CT scan as a predictor for diagnosing sarcopenia in patients with degenerative lumbar disease. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2024:10.1007/s00586-024-08452-x. [PMID: 39198285 DOI: 10.1007/s00586-024-08452-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 07/20/2024] [Accepted: 08/14/2024] [Indexed: 09/01/2024]
Abstract
PURPOSE This study examined the predictive value of the gluteal muscle index (GMI) for diagnosing sarcopenia in patients with degenerative lumbar disease (DLD), highlighting the need for effective diagnostic markers in this population. METHODS This prospective observational study included 202 elderly patients scheduled for lumbar spine surgery. Muscle indices for psoas, paraspinal, and gluteal muscles were measured using multiaxial computed tomography. Sarcopenia was diagnosed per the 2019 Asian Working Group for Sarcopenia (AWGS) criteria. Statistical analysis comprised univariate and multivariate logistic regression to identify predictors of sarcopenia. RESULTS Of patients, 77% were diagnosed with sarcopenia. The GMI and psoas muscle index (PMI) were identified as significant predictors of sarcopenia in the univariate analysis. Multivariate analysis confirmed their predictive value, with higher indices correlating with a reduced risk of sarcopenia (GMI odds ratio [OR] = 0.95, 95% confidence interval [CI] = 0.92-0.97; PMI OR = 0.95, 95% CI = 0.92-0.98, both P < .001). CONCLUSION The GMI serves as a reliable predictor of sarcopenia in elderly patients undergoing lumbar spine surgery for DLD, suggesting a significant role of gluteal muscles in diagnosing sarcopenia. Incorporating GMI into clinical assessments is critical to better manage and diagnose sarcopenia in this population.
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Affiliation(s)
- Dae-Woong Ham
- Department of Orthopedic Surgery, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Dongjak-gu, Heukseok-ro 102, Seoul, Republic of Korea
| | - Jeuk Lee
- Department of Orthopedic Surgery, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Dongjak-gu, Heukseok-ro 102, Seoul, Republic of Korea
| | - GilWon Choi
- Department of Orthopedic Surgery, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Dongjak-gu, Heukseok-ro 102, Seoul, Republic of Korea
| | - Byung-Taek Kwon
- Department of Orthopedic Surgery, Chung-Ang University Gwang Myeong Hospital, Gwangmyeongsi, Gyeonggido, Republic of Korea
| | - Kwang-Sup Song
- Department of Orthopedic Surgery, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Dongjak-gu, Heukseok-ro 102, Seoul, Republic of Korea.
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du Pisanie JL, Ramakrishnan V, Patel V, Commander C, Yu H. MRI paraspinous skeletal muscle enhancement: A potential imaging biomarker for assessing clinical liver cirrhosis severity. PLoS One 2024; 19:e0308520. [PMID: 39172893 PMCID: PMC11340957 DOI: 10.1371/journal.pone.0308520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 07/24/2024] [Indexed: 08/24/2024] Open
Abstract
PURPOSE To evaluate for correlation between MRI paraspinous muscle (PSM) enhancement and clinical measures of cirrhosis severity (CMCS) utilizing established imaging biomarkers of sarcopenia as comparison. MATERIALS AND METHODS Retrospective evaluation of 224 patients (mean age 59.6± 9.7 years, 135 males and 89 females) with liver cirrhosis who underwent contrast-enhanced MRI between August 2021 and August 2022 was performed. Assessed variables included: body mass index (BMI), varices and ascites present on imaging (VPI and API), albumin, total bilirubin (Tbili), international normalized ratio (INR), creatinine, MELD score, as well as history of paracentesis (PH), spontaneous bacterial peritonitis, and variceal bleed (VBH). These variables were compared to PSM skeletal muscle index (SMI), PSM signal fat fractions (sFF), and PSM contrast enhancement fraction (CEFR) calculated on arterial (CEFR-ART), portal venous (CEFR-PV), and delayed (CEFR-DEL) phases collected on MRI. RESULTS Patients with MELD>17, PH, and VPI had lower PSM CEFR-ART (0.06vs. 0.11, p = 0.01; 0.07vs. 0.11, p = 0.01; and 0.09vs. 0.13, p = 0.03, respectively). PSM CEFR-ART correlated negatively with MELD. Patients with MELD>17 and PH had lower PSM CEFR-PV (0.16vs. 0.23, p = 0.02; 0.18 vs. 0.23, p = 0.01, respectively). PSM CEFR-PV correlated positively with albumin and negatively with Tbili, INR, and MELD. PSM CEFR-DEL correlated negatively with Tbili and MELD. Patients with API, PH, and VBH had lower PSM SMI (4.68vs. 5.59, p<0.001; 4.37vs. 5.48, p<0.001; 4.78vs. 5.35, p = 0.04, respectively). PSM SMI correlated negatively with Tbili and positively with BMI. PSM sFF correlated positively with BMI, PSM CEFR-PV, and PSM CEFR-DEL. CONCLUSION PSM CEFR is significantly reduced on MRI in patients with clinical manifestations of severe liver cirrhosis. Further investigation into PSM CEFR's usefulness as an imaging biomarker for evaluating liver disease severity is warranted.
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Affiliation(s)
- Johannes L. du Pisanie
- Department of Radiology, Interventional Radiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Venkateswaran Ramakrishnan
- Department of Radiology, Interventional Radiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Vedang Patel
- Department of Radiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Clayton Commander
- Department of Radiology, Interventional Radiology, Baptist Health, Jacksonville, Florida, United States of America
| | - Hyeon Yu
- Department of Radiology, Interventional Radiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
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Beltrão FEDL, Beltrão DCDA, Carvalhal G, Beltrão FLDL, Oliveira JDB, Silva HDS, Teixeira HMP, Rodrigues JL, de Figueiredo CAV, Costa RDS, Hecht F, Vieira GC, Gonçalves MDCR, Bianco AC, Ramos HE. Thr92Ala-DIO2 heterozygosity is associated with skeletal muscle mass and myosteatosis in patients with COVID-19. Eur Thyroid J 2024; 13:e240068. [PMID: 38869458 PMCID: PMC11301567 DOI: 10.1530/etj-24-0068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/13/2024] [Indexed: 06/14/2024] Open
Abstract
Introduction The type 2 deiodinase and its Thr92Ala-DIO2 polymorphism have been linked to clinical outcomes in acute lung injury and coronavirus disease 2019 (COVID-19). Objective The objective was to identify a potential association between Thr92Ala-DIO2 polymorphism and body composition (appendicular muscle mass, myosteatosis, and fat distribution) and to determine whether they reflect the severity or mortality associated with the disease. Methods In this prospective cohort study (June-August 2020), 181 patients hospitalized with moderate-to-severe COVID-19 underwent a non-contrast-enhanced computed tomography (CT) of the thorax to assess body composition, laboratory tests, and genotyping for the Thr92Ala-DIO2 polymorphism. Results In total, 181 consecutive patients were stratified into three subgroups according to the genotype: Thr/Thr (n = 64), Thr/Ala (n = 96), and Ala/Ala (n = 21). The prevalence of low muscle area (MA) (< 92 cm²) was 52.5%. Low MA was less frequent in Ala/Thr patients (44.8%) than in Thr/Thr (60.9%) or Ala/Ala patients (61.9%) (P = 0.027). Multivariate logistic regression analysis confirmed that the Thr/Ala allele was associated with a reduced risk of low MA (41% to 69%) and myosteatosis (62% to 72%) compared with Thr/Thr + Ala/Ala (overdominant model). Kaplan-Meier curves showed that patients with low muscle mass and homozygosity had lower survival rates than the other groups. Notably, the heterozygotes with MA ≥92 cm² exhibited the best survival rate. Conclusion Thr92Ala-DIO2 heterozygosity is associated with increased skeletal MA and less myosteatosis in patients with COVID-19. The protective effect of Thr92Ala-DIO2 heterozygosity on COVID-19 mortality is restricted to patients with reduced MA.
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Affiliation(s)
- Fabyan Esberard de Lima Beltrão
- Lauro Wanderley University Hospital, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
- University Center of João Pessoa – UNIPE, João Pessoa, PB, Brazil
| | - Daniele Carvalhal de Almeida Beltrão
- University Center of João Pessoa – UNIPE, João Pessoa, PB, Brazil
- Post-Graduation Program in Cognitive Neuroscience and Behavior, Psychology Department of the Center of Human Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
| | - Giulia Carvalhal
- Center for Biological and Health Sciences, Federal University of Campina Grande, Campina Grande, Paraíba, Brazil
| | | | - Jocyel de Brito Oliveira
- Bioregulation Department, Health and Science Institut, Federal University of Bahia, Salvador, Bahia, Brazil
| | - Hatilla dos Santos Silva
- Bioregulation Department, Health and Science Institut, Federal University of Bahia, Salvador, Bahia, Brazil
| | | | - Juliana Lopes Rodrigues
- Laboratory of Immunopharmacology and Molecular Biology, Health Sciences Institute, Federal University of Bahia, Brazil
| | | | - Ryan dos Santos Costa
- Laboratory of Immunopharmacology and Molecular Biology, Health Sciences Institute, Federal University of Bahia, Brazil
| | - Fabio Hecht
- The Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Giciane Carvalho Vieira
- Post-Graduation Program in Cognitive Neuroscience and Behavior, Psychology Department of the Center of Human Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
| | | | - Antonio C. Bianco
- Section of Endocrinology and Metabolism, Division of the Biological Sciences, University of Chicago, Chicago, Illinois, USA
| | - Helton Estrela Ramos
- Post-Graduate Program in Medicine and Health, Medical School of Medicine, Federal University of Bahia, Salvador, Brazil
- Postgraduate Program in Interactive Processes of Organs and Systems, Health & Science Institute, Federal University of Bahia, Salvador, BA, Brazil
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Virto N, Río X, Méndez-Zorrilla A, García-Zapirain B. Non invasive techniques for direct muscle quality assessment after exercise intervention in older adults: a systematic review. BMC Geriatr 2024; 24:642. [PMID: 39085773 PMCID: PMC11293103 DOI: 10.1186/s12877-024-05243-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 07/24/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND The aging process induces neural and morphological changes in the human musculoskeletal system, leading to a decline in muscle mass, strength and quality. These alterations, coupled with shifts in muscle metabolism, underscore the essential role of physical exercise in maintaining and improving muscle quality in older adults. Muscle quality's morphological domain encompasses direct assessments of muscle microscopic and macroscopic aspects of muscle architecture and composition. Various tools exist to estimate muscle quality, each with specific technical requirements. However, due to the heterogeneity in both the studied population and study methodologies, there is a gap in the establishment of reference standards to determine which are the non-invasive and direct tools to assess muscle quality after exercise interventions. Therefore, the purpose of this review is to obtain an overview of the non-invasive tools used to measure muscle quality directly after exercise interventions in healthy older adults, as well as to assess the effects of exercise on muscle quality. MAIN TEXT To address the imperative of understanding and optimizing muscle quality in aging individuals, this review provides an overview of non-invasive tools employed to measure muscle quality directly after exercise interventions in healthy older adults, along with an assessment of the effects of exercise on muscle quality. RESULTS Thirty four studies were included. Several methods of direct muscle quality assessment were identified. Notably, 2 studies harnessed CT, 20 utilized US, 9 employed MRI, 2 opted for TMG, 2 adopted myotonometry, and 1 incorporated BIA, with several studies employing multiple tests. Exploring interventions, 26 studies focus on resistance exercise, 4 on aerobic training, and 5 on concurrent training. CONCLUSIONS There is significant diversity in the methods of direct assessment of muscle quality, mainly using ultrasound and magnetic resonance imaging; and a consistent positive trend in exercise interventions, indicating their efficacy in improving or preserving muscle quality. However, the lack of standardized assessment criteria poses a challenge given the diversity within the studied population and variations in methodologies.. These data emphasize the need to standardize assessment criteria and underscore the potential benefits of exercise interventions aimed at optimizing muscle quality.
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Affiliation(s)
- Naiara Virto
- eVida Research Lab, Faculty of Engineering, University of Deusto, Bilbo, Spain.
| | - Xabier Río
- Department of Physical Activity and Sport Sciences, Faculty of Education and Sport, University of Deusto, Bilbo, Spain
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Jung M, Rieder H, Reisert M, Rospleszcz S, Nattenmueller J, Peters A, Schlett CL, Bamberg F, Weiss J. Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body magnetic resonance imaging population phenotyping approach. J Cachexia Sarcopenia Muscle 2024. [PMID: 39009381 DOI: 10.1002/jcsm.13527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/16/2024] [Accepted: 06/03/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with the progression of insulin resistance. With advances in artificial intelligence, automated and accurate algorithms have become feasible to fill this gap. METHODS In this retrospective study, we developed and tested a fully automated deep learning model using data from two prospective cohort studies (German National Cohort [NAKO] and Cooperative Health Research in the Region of Augsburg [KORA]) to quantify myosteatosis on whole-body T1-weighted Dixon magnetic resonance imaging as (1) intramuscular adipose tissue (IMAT; the current standard) and (2) quantitative skeletal muscle (SM) fat fraction (SMFF). Subsequently, we investigated the two measures for their discrimination of and association with impaired glucose metabolism beyond baseline demographics (age, sex and body mass index [BMI]) and cardiometabolic risk factors (lipid panel, systolic blood pressure, smoking status and alcohol consumption) in asymptomatic individuals from the KORA study. Impaired glucose metabolism was defined as impaired fasting glucose or impaired glucose tolerance (140-200 mg/dL) or prevalent diabetes mellitus. RESULTS Model performance was high, with Dice coefficients of ≥0.81 for IMAT and ≥0.91 for SM in the internal (NAKO) and external (KORA) testing sets. In the target population (380 KORA participants: mean age of 53.6 ± 9.2 years, BMI of 28.2 ± 4.9 kg/m2, 57.4% male), individuals with impaired glucose metabolism (n = 146; 38.4%) were older and more likely men and showed a higher cardiometabolic risk profile, higher IMAT (4.5 ± 2.2% vs. 3.9 ± 1.7%) and higher SMFF (22.0 ± 4.7% vs. 18.9 ± 3.9%) compared to normoglycaemic controls (all P ≤ 0.005). SMFF showed better discrimination for impaired glucose metabolism than IMAT (area under the receiver operating characteristic curve [AUC] 0.693 vs. 0.582, 95% confidence interval [CI] [0.06-0.16]; P < 0.001) but was not significantly different from BMI (AUC 0.733 vs. 0.693, 95% CI [-0.09 to 0.01]; P = 0.15). In univariable logistic regression, IMAT (odds ratio [OR] = 1.18, 95% CI [1.06-1.32]; P = 0.004) and SMFF (OR = 1.19, 95% CI [1.13-1.26]; P < 0.001) were associated with a higher risk of impaired glucose metabolism. This signal remained robust after multivariable adjustment for baseline demographics and cardiometabolic risk factors for SMFF (OR = 1.10, 95% CI [1.01-1.19]; P = 0.028) but not for IMAT (OR = 1.14, 95% CI [0.97-1.33]; P = 0.11). CONCLUSIONS Quantitative SMFF, but not IMAT, is an independent predictor of impaired glucose metabolism, and discrimination is not significantly different from BMI, making it a promising alternative for the currently established approach. Automated methods such as the proposed model may provide a feasible option for opportunistic screening of myosteatosis and, thus, a low-cost personalized risk assessment solution.
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Affiliation(s)
- Matthias Jung
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Hanna Rieder
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marco Reisert
- Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Stereotactic and Functional Neurosurgery, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Susanne Rospleszcz
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Johanna Nattenmueller
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilian University of Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jakob Weiss
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Golder AM, Ferguson M, McMillan P, Mansouri D, Horgan PG, Roxburgh CS, Dolan RD, McGovern J, McMillan DC. CT-derived body composition and differential association with age, TNM stage and systemic inflammation in patients with colon cancer. Sci Rep 2024; 14:15673. [PMID: 38977870 PMCID: PMC11231341 DOI: 10.1038/s41598-024-65871-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 06/25/2024] [Indexed: 07/10/2024] Open
Abstract
Low skeletal muscle index/density (SMI/SMD) is prevalent in cancer, adversely prognostic and associated with tumour stage and the systemic inflammatory response (SIR). Age and SMI/SMD has not been widely studied. The present study analyses the association between age and SMI/SMD after adjustment for other clinicopathological factors. Patients undergoing resectional surgery for TNM Stage I-III disease within the West of Scotland between 2011 and 2014 were identified. A single CT slice was obtained from each patients staging CT scan. SMI and SMD were stratified normal/abnormal. The SIR was stratified using Systemic Inflammatory Grade (SIG). When stratified by age (< 50/50s/60s/70s/80+), 39%/38%/48%/62%/74% and 27%/48%/64%/82%/92% of patients had a low SMI and SMD respectively (both p < 0.001). Older age (OR 1.47, p < 0.001), female sex (OR 1.32, p = 0.032), lower socioeconomic deprivation (OR 1.15, p = 0.004), higher ASA (OR 1.30, p = 0.019), emergency presentation (OR 1.82, p = 0.003), lower BMI (OR 0.67, p < 0.002) and higher SIG (OR 1.23, p < 0.001) were independently associated with low SMI. Older age (OR 2.28, p < 0.001), female sex (OR 1.38, p = 0.038), higher ASA (OR 1.92, p < 0.001), emergency presentation (OR 1.71, p = 0.023), and higher SIG (OR 1.37, p < 0.001) were independently associated with lower SMD. Tumour factors were not independently associated with either SMI/SMD. Age was a major factor associated with low SMI/SMD in patients with colon cancer. Therefore, in these patients it is likely that this represents largely constitutional body composition as opposed to being a disease mediated effect. Adjustment for age is required when considering the cancer mediated effect on SMI/SMD in patients with colon cancer.
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Affiliation(s)
- Allan M Golder
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK.
| | - Michael Ferguson
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Paul McMillan
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - David Mansouri
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Paul G Horgan
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Campbell S Roxburgh
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Ross D Dolan
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Josh McGovern
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Donald C McMillan
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
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Wearing SC, Hooper SL, Langton CM, Keiner M, Horstmann T, Crevier-Denoix N, Pourcelot P. The Biomechanics of Musculoskeletal Tissues during Activities of Daily Living: Dynamic Assessment Using Quantitative Transmission-Mode Ultrasound Techniques. Healthcare (Basel) 2024; 12:1254. [PMID: 38998789 PMCID: PMC11241410 DOI: 10.3390/healthcare12131254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 06/18/2024] [Accepted: 06/19/2024] [Indexed: 07/14/2024] Open
Abstract
The measurement of musculoskeletal tissue properties and loading patterns during physical activity is important for understanding the adaptation mechanisms of tissues such as bone, tendon, and muscle tissues, particularly with injury and repair. Although the properties and loading of these connective tissues have been quantified using direct measurement techniques, these methods are highly invasive and often prevent or interfere with normal activity patterns. Indirect biomechanical methods, such as estimates based on electromyography, ultrasound, and inverse dynamics, are used more widely but are known to yield different parameter values than direct measurements. Through a series of literature searches of electronic databases, including Pubmed, Embase, Web of Science, and IEEE Explore, this paper reviews current methods used for the in vivo measurement of human musculoskeletal tissue and describes the operating principals, application, and emerging research findings gained from the use of quantitative transmission-mode ultrasound measurement techniques to non-invasively characterize human bone, tendon, and muscle properties at rest and during activities of daily living. In contrast to standard ultrasound imaging approaches, these techniques assess the interaction between ultrasound compression waves and connective tissues to provide quantifiable parameters associated with the structure, instantaneous elastic modulus, and density of tissues. By taking advantage of the physical relationship between the axial velocity of ultrasound compression waves and the instantaneous modulus of the propagation material, these techniques can also be used to estimate the in vivo loading environment of relatively superficial soft connective tissues during sports and activities of daily living. This paper highlights key findings from clinical studies in which quantitative transmission-mode ultrasound has been used to measure the properties and loading of bone, tendon, and muscle tissue during common physical activities in healthy and pathological populations.
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Affiliation(s)
- Scott C. Wearing
- School of Medicine and Health, Technical University of Munich, 80992 Munich, Bavaria, Germany
| | - Sue L. Hooper
- School of Health, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia
| | - Christian M. Langton
- Griffith Centre of Rehabilitation Engineering, Griffith University, Southport, QLD 4222, Australia
| | - Michael Keiner
- Department of Exercise and Training Science, German University of Health and Sport, 85737 Ismaning, Bavaria, Germany
| | - Thomas Horstmann
- School of Medicine and Health, Technical University of Munich, 80992 Munich, Bavaria, Germany
| | | | - Philippe Pourcelot
- INRAE, BPLC Unit, Ecole Nationale Vétérinaire d’Alfort, 94700 Maisons-Alfort, France
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Brown LR, Sousa MS, Yule MS, Baracos VE, McMillan DC, Arends J, Balstad TR, Bye A, Dajani O, Dolan RD, Fallon MT, Greil C, Hjermstad MJ, Jakobsen G, Maddocks M, McDonald J, Ottestad IO, Phillips I, Sayers J, Simpson MR, Vagnildhaug OM, Solheim TS, Laird BJ, Skipworth RJ. Body weight and composition endpoints in cancer cachexia clinical trials: Systematic Review 4 of the cachexia endpoints series. J Cachexia Sarcopenia Muscle 2024; 15:816-852. [PMID: 38738581 PMCID: PMC11154800 DOI: 10.1002/jcsm.13478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/12/2024] [Accepted: 03/16/2024] [Indexed: 05/14/2024] Open
Abstract
Significant variation exists in the outcomes used in cancer cachexia trials, including measures of body composition, which are often selected as primary or secondary endpoints. To date, there has been no review of the most commonly selected measures or their potential sensitivity to detect changes resulting from the interventions being examined. The aim of this systematic review is to assess the frequency and diversity of body composition measures that have been used in cancer cachexia trials. MEDLINE, Embase and Cochrane Library databases were systematically searched between January 1990 and June 2021. Eligible trials examined adults (≥18 years) who had received an intervention aiming to treat or attenuate the effects of cancer cachexia for >14 days. Trials were also of a prospective controlled design and included body weight or at least one anthropometric, bioelectrical or radiological endpoint pertaining to body composition, irrespective of the modality of intervention (e.g., pharmacological, nutritional, physical exercise and behavioural) or comparator. Trials with a sample size of <40 patients were excluded. Data extraction used Covidence software, and reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance. This review was prospectively registered (PROSPERO: CRD42022276710). A total of 84 clinical trials, comprising 13 016 patients, were eligible for inclusion. Non-small-cell lung cancer and pancreatic cancer were studied most frequently. The majority of trial interventions were pharmacological (52%) or nutritional (34%) in nature. The most frequently reported endpoints were assessments of body weight (68 trials, n = 11 561) followed by bioimpedance analysis (BIA)-based estimates (23 trials, n = 3140). Sixteen trials (n = 3052) included dual-energy X-ray absorptiometry (DEXA)-based endpoints, and computed tomography (CT) body composition was included in eight trials (n = 841). Discrepancies were evident when comparing the efficacy of interventions using BIA-based estimates of lean tissue mass against radiological assessment modalities. Body weight, BIA and DEXA-based endpoints have been most frequently used in cancer cachexia trials. Although the optimal endpoints cannot be determined from this review, body weight, alongside measurements from radiological body composition analysis, would seem appropriate. The choice of radiological modality is likely to be dependent on the trial setting, population and intervention in question. CT and magnetic resonance imaging, which have the ability to accurately discriminate tissue types, are likely to be more sensitive and provide greater detail. Endpoints are of particular importance when aligned with the intervention's mechanism of action and/or intended patient benefit.
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Affiliation(s)
- Leo R. Brown
- Clinical SurgeryThe University of Edinburgh, Royal Infirmary of EdinburghEdinburghUK
| | - Mariana S. Sousa
- Improving Palliative, Aged and Chronic Care Through Clinical Research and Translation (IMPACCT)University of Technology SydneySydneyAustralia
| | - Michael S. Yule
- Clinical SurgeryThe University of Edinburgh, Royal Infirmary of EdinburghEdinburghUK
- Institute of Genetics and CancerThe University of Edinburgh, Western General HospitalEdinburghUK
- St Columba's Hospice CareEdinburghUK
| | | | - Donald C. McMillan
- Academic Unit of SurgeryUniversity of Glasgow, Glasgow Royal InfirmaryGlasgowUK
| | - Jann Arends
- Department of Medicine I, Medical Centre—University of Freiburg Faculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Trude R. Balstad
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
- Department of Clinical Medicine, Clinical Nutrition Research GroupUiT The Arctic University of NorwayTromsøNorway
| | - Asta Bye
- Department of OncologyOslo University HospitalOsloNorway
- Department of Nursing and Health Promotion, Faculty of Health SciencesOslo Metropolitan UniversityOsloNorway
| | - Olav Dajani
- Department of OncologyOslo University HospitalOsloNorway
| | - Ross D. Dolan
- Academic Unit of SurgeryUniversity of Glasgow, Glasgow Royal InfirmaryGlasgowUK
| | - Marie T. Fallon
- Institute of Genetics and CancerThe University of Edinburgh, Western General HospitalEdinburghUK
- St Columba's Hospice CareEdinburghUK
| | - Christine Greil
- Department of Medicine I, Medical Centre—University of Freiburg Faculty of MedicineUniversity of FreiburgFreiburgGermany
| | | | - Gunnhild Jakobsen
- Department of Public Health and Nursing, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
- Cancer ClinicSt. Olav's Hospital, Trondheim University HospitalTrondheimNorway
| | - Matthew Maddocks
- Cicely Saunders Institute of Palliative Care, Policy and RehabilitationKing's College LondonLondonUK
| | - James McDonald
- Institute of Genetics and CancerThe University of Edinburgh, Western General HospitalEdinburghUK
- St Columba's Hospice CareEdinburghUK
| | - Inger O. Ottestad
- Department of Nutrition, Institute of Basic Medical SciencesUniversity of OsloOsloNorway
- The Clinical Nutrition Outpatient Clinic, Section of Clinical Nutrition, Department of Clinical Service, Division of Cancer MedicineOslo University HospitalOsloNorway
| | - Iain Phillips
- Edinburgh Cancer CentreWestern General HospitalEdinburghUK
| | - Judith Sayers
- Clinical SurgeryThe University of Edinburgh, Royal Infirmary of EdinburghEdinburghUK
- Institute of Genetics and CancerThe University of Edinburgh, Western General HospitalEdinburghUK
- St Columba's Hospice CareEdinburghUK
| | - Melanie R. Simpson
- Department of Nursing and Health Promotion, Faculty of Health SciencesOslo Metropolitan UniversityOsloNorway
| | - Ola M. Vagnildhaug
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
- Department of Public Health and Nursing, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
| | - Tora S. Solheim
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
- Department of Public Health and Nursing, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
| | - Barry J.A. Laird
- Institute of Genetics and CancerThe University of Edinburgh, Western General HospitalEdinburghUK
- St Columba's Hospice CareEdinburghUK
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10
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Maurya AK, Aggarwal LM, Choudhary S. Body Composition Analysis Techniques and Its Application in Oncology: A Review. Nutr Cancer 2024; 76:666-675. [PMID: 38757446 DOI: 10.1080/01635581.2024.2353942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 05/06/2024] [Accepted: 05/06/2024] [Indexed: 05/18/2024]
Abstract
The oncology community has shown growing interest to understand how body composition measures can be utilized to improve cancer treatment and survivorship care for about 20 million individuals diagnosed with cancer annually. Recent observational studies demonstrate that muscle and adipose tissue distribution are risk factors for clinical outcomes such as postoperative complications, and worse overall survival. There is an emergent recognition that body mass index (BMI) is neither adequate to identify patients with adverse health outcomes due to poor muscle health or excess adiposity, nor does BMI accurately classify the distribution of adiposity. Abdominal CT is a most frequently imaging examination for a wide variety of clinical indications, but it is only used to diagnose the immediate problem. Additionally, each CT examination contains very robust data on body composition which generally goes unused in routine clinical practice. The field is eager to identify therapeutic interventions that modify body composition and reduce the incidence of poor clinical outcomes in this population. Large scale population based screening is feasible now by making all of these relevant biometric measures fully automated through the use of artificial intelligence algorithms, which provide rapid and objective assessment.
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Affiliation(s)
- Anil Kumar Maurya
- Department of Radiotherapy & Radiation Medicine, IMS, BHU, Varanasi, Uttar Pradesh, India
- Department of Radiation Oncology, Moti Lal Nehru Medical College, Prayagraj, Uttar Pradesh, India
| | - Lalit Mohan Aggarwal
- Department of Radiotherapy & Radiation Medicine, IMS, BHU, Varanasi, Uttar Pradesh, India
| | - Sunil Choudhary
- Department of Radiotherapy & Radiation Medicine, IMS, BHU, Varanasi, Uttar Pradesh, India
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11
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Tonnesen PE, Mercaldo ND, Tahir I, Dietrich ASW, Amayri W, Graur A, Allaire B, Bouxsein ML, Samelson EJ, Kiel DP, Fintelmann FJ. Muscle Reference Values From Thoracic and Abdominal CT for Sarcopenia Assessment: The Framingham Heart Study. Invest Radiol 2024; 59:259-270. [PMID: 37725490 PMCID: PMC10920396 DOI: 10.1097/rli.0000000000001012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
BACKGROUND Loss of muscle mass is a known feature of sarcopenia and predicts poor clinical outcomes. Although muscle metrics can be derived from routine computed tomography (CT) images, sex-specific reference values at multiple vertebral levels over a wide age range are lacking. OBJECTIVE The aim of this study was to provide reference values for skeletal muscle mass and attenuation on thoracic and abdominal CT scans in the community-based Framingham Heart Study cohort to aid in the identification of sarcopenia. MATERIALS AND METHODS This secondary analysis of a prospective trial describes muscle metrics by age and sex for participants from the Framingham Heart Study without prior history of cancer who underwent at least 1 CT scan between 2002 and 2011. Using 2 previously validated machine learning algorithms followed by human quality assurance, skeletal muscle was analyzed on a single axial CT image per level at the 5th, 8th, 10th thoracic, and 3rd lumbar vertebral body (T5, T8, T10, L3). Cross-sectional muscle area (cm 2 ), mean skeletal muscle radioattenuation (SMRA, in Hounsfield units), skeletal muscle index (SMI, in cm 2 /m 2 ), and skeletal muscle gauge (SMRA·SMI) were calculated. Measurements were summarized by age group (<45, 45-54, 55-64, 65-74, ≥75 years), sex, and vertebral level. Models enabling the calculation of age-, sex-, and vertebral-level-specific reference values were created and embedded into an open access online Web application. RESULTS The cohort consisted of 3804 participants (1917 [50.4%] males; mean age, 55.6 ± 11.8 years; range, 33-92 years) and 7162 CT scans. Muscle metrics qualitatively decreased with increasing age and female sex. CONCLUSIONS This study established age- and sex-specific reference values for CT-based muscle metrics at thoracic and lumbar vertebral levels. These values may be used in future research investigating the role of muscle mass and attenuation in health and disease, and to identify sarcopenia.
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Affiliation(s)
- P. Erik Tonnesen
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
- Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Nathaniel D. Mercaldo
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Ismail Tahir
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
| | - Anna-Sophia W. Dietrich
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
| | - Wael Amayri
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
| | - Alexander Graur
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
| | - Brett Allaire
- Center for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA
| | - Mary L. Bouxsein
- Center for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA
- Department of Orthopedic Surgery, Harvard Medical School, Boston, MA
- Endocrine Division, Massachusetts General Hospital, Boston, MA
| | - Elizabeth J. Samelson
- Harvard Medical School, Boston, MA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Douglas P. Kiel
- Harvard Medical School, Boston, MA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Florian J. Fintelmann
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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12
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Vogele D, Mueller T, Wolf D, Otto S, Manoj S, Goetz M, Ettrich TJ, Beer M. Applicability of the CT Radiomics of Skeletal Muscle and Machine Learning for the Detection of Sarcopenia and Prognostic Assessment of Disease Progression in Patients with Gastric and Esophageal Tumors. Diagnostics (Basel) 2024; 14:198. [PMID: 38248074 PMCID: PMC10814393 DOI: 10.3390/diagnostics14020198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/10/2024] [Accepted: 01/10/2024] [Indexed: 01/23/2024] Open
Abstract
PURPOSE Sarcopenia is considered a negative prognostic factor in patients with malignant tumors. Among other diagnostic options, computed tomography (CT), which is repeatedly performed on tumor patients, can be of further benefit. The present study aims to establish a framework for classifying the impact of sarcopenia on the prognosis of patients diagnosed with esophageal or gastric cancer. Additionally, it explores the significance of CT radiomics in both diagnostic and prognostic methodologies. MATERIALS AND METHODS CT scans of 83 patients with esophageal or gastric cancer taken at the time of diagnosis and during a follow-up period of one year were evaluated retrospectively. A total of 330 CT scans were analyzed. Seventy three of these patients received operative tumor resection after neoadjuvant chemotherapy, and 74% of the patients were male. The mean age was 64 years (31-83 years). Three time points (t) were defined as a basis for the statistical analysis in order to structure the course of the disease: t1 = initial diagnosis, t2 = following (neoadjuvant) chemotherapy and t3 = end of the first year after surgery in the "surgery" group or end of the first year after chemotherapy. Sarcopenia was determined using the psoas muscle index (PMI). The additional analysis included the analysis of selected radiomic features of the psoas major, quadratus lumborum, and erector spinae muscles at the L3 level. Disease progression was monitored according to the response evaluation criteria in solid tumors (RECIST 1.1). CT scans and radiomics were used to assess the likelihood of tumor progression and their correlation to sarcopenia. For machine learning, the established algorithms decision tree (DT), K-nearest neighbor (KNN), and random forest (RF) were applied. To evaluate the performance of each model, a 10-fold cross-validation as well as a calculation of Accuracy and Area Under the Curve (AUC) was used. RESULTS During the observation period of the study, there was a significant decrease in PMI. This was most evident in patients with surgical therapy in the comparison between diagnosis and after both neoadjuvant therapy and surgery (each p < 0.001). Tumor progression (PD) was not observed significantly more often in the patients with sarcopenia compared to those without sarcopenia at any time point (p = 0.277 to p = 0.465). On average, PD occurred after 271.69 ± 104.20 days. The time from initial diagnosis to PD in patients "with sarcopenia" was not significantly shorter than in patients "without sarcopenia" at any of the time points (p = 0.521 to p = 0.817). The CT radiomics of skeletal muscle could predict both sarcopenia and tumor progression, with the best results for the psoas major muscle using the RF algorithm. For the detection of sarcopenia, the Accuracy was 0.90 ± 0.03 and AUC was 0.96 ± 0.02. For the prediction of PD, the Accuracy was 0.88 ± 0.04 and the AUC was 0.93 ± 0.04. CONCLUSIONS In the present study, the CT radiomics of skeletal muscle together with machine learning correlated with the presence of sarcopenia, and this can additionally assist in predicting disease progression. These features can be classified as promising alternatives to conventional methods, with great potential for further research and future clinical application. However, when sarcopenia was diagnosed with PMI, no significant correlation between sarcopenia and PD could be observed.
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Affiliation(s)
- Daniel Vogele
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, 89081 Ulm, Germany; (T.M.); (D.W.); (S.M.); (M.G.); (M.B.)
| | - Teresa Mueller
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, 89081 Ulm, Germany; (T.M.); (D.W.); (S.M.); (M.G.); (M.B.)
| | - Daniel Wolf
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, 89081 Ulm, Germany; (T.M.); (D.W.); (S.M.); (M.G.); (M.B.)
- Visual Computing Group, Institute for Media Informatics, Ulm University, 89081 Ulm, Germany
- XAIRAD—Artificial Intelligence in Experimental Radiology, University Hospital of Ulm, 89081 Ulm, Germany
| | - Stephanie Otto
- Comprehensive Cancer Center Ulm (CCCU), Ulm University Medical Center, 89081 Ulm, Germany;
| | - Sabitha Manoj
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, 89081 Ulm, Germany; (T.M.); (D.W.); (S.M.); (M.G.); (M.B.)
- XAIRAD—Artificial Intelligence in Experimental Radiology, University Hospital of Ulm, 89081 Ulm, Germany
| | - Michael Goetz
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, 89081 Ulm, Germany; (T.M.); (D.W.); (S.M.); (M.G.); (M.B.)
- XAIRAD—Artificial Intelligence in Experimental Radiology, University Hospital of Ulm, 89081 Ulm, Germany
| | - Thomas J. Ettrich
- Department of Internal Medicine I, Ulm University Medical Center, 89081 Ulm, Germany;
- i2SouI—Innovative Imaging in Surgical Oncology Ulm, University Hospital of Ulm, 89081 Ulm, Germany
| | - Meinrad Beer
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, 89081 Ulm, Germany; (T.M.); (D.W.); (S.M.); (M.G.); (M.B.)
- i2SouI—Innovative Imaging in Surgical Oncology Ulm, University Hospital of Ulm, 89081 Ulm, Germany
- MoMan—Center for Translational Imaging, Department of Internal Medicine II, University Hospital of Ulm, 89081 Ulm, Germany
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13
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Zhu Y, Wang Q, Dai H, Hou T, Wang T, Zhao Z, Li M, Miao W, Yang J, Lu J, Xu Y, Chen Y, Ning G, Zheng J, Bi Y, Xu M, Wang W. Sex-specific causality of MRI-derived body compositions on glycaemic traits: Mendelian randomization and observational study. Diabetes Obes Metab 2024; 26:373-384. [PMID: 37920887 DOI: 10.1111/dom.15326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/13/2023] [Accepted: 09/25/2023] [Indexed: 11/04/2023]
Abstract
AIM To investigate the sex-specific causality of body compositions in type 2 diabetes and related glycaemic traits using Mendelian randomization (MR). MATERIALS AND METHODS We leveraged sex-specific summary-level statistics from genome-wide association studies for three adipose deposits adjusted for body mass index and height, including abdominal subcutaneous adipose tissue, visceral adipose tissue (VATadj) and gluteofemoral adipose tissue (GFATadj), measured by MRI (20 038 women; 19 038 men), and fat mass-adjusted appendicular lean mass (ALMadj) (244 730 women; 205 513 men) in the UK Biobank. Sex-specific statistics of type 2 diabetes were from the Diabetes Genetics Replication and Meta-analysis Consortium and those for fasting glucose and insulin were from the Meta-analyses of Glucose and Insulin-related Traits Consortium. Univariable and multivariable MR (MVMR) were performed. We also performed MR analyses of anthropometric traits and genetic association analyses using individual-level data of body composition as validation. RESULTS Univariable MR analysis showed that, in women, higher GFATadj and ALMadj exerted a causally protective effect on type 2 diabetes (GFATadj: odds ratio [OR] 0.59, 95% confidence interval [CI; 0.50, 0.69]; ALMadj: OR 0.84, 95% CI [0.77, 0.91]) and VATadj to be riskier in glycaemic traits. MVMR showed that GFATadj retained a robust effect on type 2 diabetes (OR 0.57, 95% CI [0.42, 0.77]; P = 2.6 × 10-4 ) in women, while it was nominally significant in men (OR 0.58, 95% CI [0.35, 0.96]; P = 3.3 × 10-2 ), after adjustment for ASATadj and VATadj. MR analyses of anthropometric measures and genetic association analyses of glycaemic traits confirmed the results. CONCLUSIONS Body composition has a sex-specific effect on type 2 diabetes, and higher GFATadj has an independent protective effect on type 2 diabetes in both sexes.
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Affiliation(s)
- Yijie Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huajie Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianzhichao Hou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Miao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Yang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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14
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Knoedler S, Schliermann R, Knoedler L, Wu M, Hansen FJ, Matar DY, Obed D, Vervoort D, Haug V, Hundeshagen G, Paik A, Kauke-Navarro M, Kneser U, Pomahac B, Orgill DP, Panayi AC. Impact of sarcopenia on outcomes in surgical patients: a systematic review and meta-analysis. Int J Surg 2023; 109:4238-4262. [PMID: 37696253 PMCID: PMC10720826 DOI: 10.1097/js9.0000000000000688] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 08/04/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND Surgeons have historically used age as a preoperative predictor of postoperative outcomes. Sarcopenia, the loss of skeletal muscle mass due to disease or biological age, has been proposed as a more accurate risk predictor. The prognostic value of sarcopenia assessment in surgical patients remains poorly understood. Therefore, the authors aimed to synthesize the available literature and investigate the impact of sarcopenia on perioperative and postoperative outcomes across all surgical specialties. METHODS The authors systematically assessed the prognostic value of sarcopenia on postoperative outcomes by conducting a systematic review and meta-analysis according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, searching the PubMed/MEDLINE and EMBASE databases from inception to 1st October 2022. Their primary outcomes were complication occurrence, mortality, length of operation and hospital stay, discharge to home, and postdischarge survival rate at 1, 3, and 5 years. Subgroup analysis was performed by stratifying complications according to the Clavien-Dindo classification system. Sensitivity analysis was performed by focusing on studies with an oncological, cardiovascular, emergency, or transplant surgery population and on those of higher quality or prospective study design. RESULTS A total of 294 studies comprising 97 643 patients, of which 33 070 had sarcopenia, were included in our analysis. Sarcopenia was associated with significantly poorer postoperative outcomes, including greater mortality, complication occurrence, length of hospital stay, and lower rates of discharge to home (all P <0.00001). A significantly lower survival rate in patients with sarcopenia was noted at 1, 3, and 5 years (all P <0.00001) after surgery. Subgroup analysis confirmed higher rates of complications and mortality in oncological (both P <0.00001), cardiovascular (both P <0.00001), and emergency ( P =0.03 and P =0.04, respectively) patients with sarcopenia. In the transplant surgery cohort, mortality was significantly higher in patients with sarcopenia ( P <0.00001). Among all patients undergoing surgery for inflammatory bowel disease, the frequency of complications was significantly increased among sarcopenic patients ( P =0.007). Sensitivity analysis based on higher quality studies and prospective studies showed that sarcopenia remained a significant predictor of mortality and complication occurrence (all P <0.00001). CONCLUSION Sarcopenia is a significant predictor of poorer outcomes in surgical patients. Preoperative assessment of sarcopenia can help surgeons identify patients at risk, critically balance eligibility, and refine perioperative management. Large-scale studies are required to further validate the importance of sarcopenia as a prognostic indicator of perioperative risk, especially in surgical subspecialties.
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Affiliation(s)
- Samuel Knoedler
- Department of Plastic Surgery and Hand Surgery, Klinikum Rechts der Isar, Technical University of Munich, Munich
- Department of Surgery, Division of Plastic Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston
- Department of Surgery, Division of Plastic and Reconstructive Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, USA
| | - Rainer Schliermann
- Faculty of Social and Health Care Sciences, University of Applied Sciences Regensburg, Regensburg
| | - Leonard Knoedler
- Department of Surgery, Division of Plastic and Reconstructive Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, USA
| | - Mengfan Wu
- Department of Surgery, Division of Plastic Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston
- Department of Plastic Surgery, Peking University Shenzhen Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Frederik J. Hansen
- Department of General and Visceral Surgery, Friedrich-Alexander University Erlangen, Erlangen
| | - Dany Y. Matar
- Department of Surgery, Division of Plastic Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston
| | - Doha Obed
- Department of Plastic, Aesthetic, Hand and Reconstructive Surgery, Hannover Medical School, Hannover
- Department of Surgery, Division of Plastic Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston
| | - Dominique Vervoort
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Valentin Haug
- Department of Hand, Plastic and Reconstructive Surgery, Microsurgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, Ludwigshafen, Germany
- Department of Surgery, Division of Plastic Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston
| | - Gabriel Hundeshagen
- Department of Hand, Plastic and Reconstructive Surgery, Microsurgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, Ludwigshafen, Germany
| | - Angie Paik
- Department of Surgery, Division of Plastic and Reconstructive Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, USA
| | - Martin Kauke-Navarro
- Department of Surgery, Division of Plastic and Reconstructive Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, USA
| | - Ulrich Kneser
- Department of Hand, Plastic and Reconstructive Surgery, Microsurgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, Ludwigshafen, Germany
| | - Bohdan Pomahac
- Department of Surgery, Division of Plastic and Reconstructive Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, USA
| | - Dennis P. Orgill
- Department of Surgery, Division of Plastic Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston
| | - Adriana C. Panayi
- Department of Hand, Plastic and Reconstructive Surgery, Microsurgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, Ludwigshafen, Germany
- Department of Surgery, Division of Plastic Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston
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15
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Xu T, Li Y, Liu Y, Ning B, Wu H, Wei Y. Clinical and prognostic role of sarcopenia based on masticatory muscle index on MR images in patients with extranodal natural killer/T cell lymphoma, nasal type. Ann Hematol 2023; 102:3521-3532. [PMID: 37702822 DOI: 10.1007/s00277-023-05436-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 09/04/2023] [Indexed: 09/14/2023]
Abstract
Sarcopenia is known to be associated with an increased risk of adverse outcomes in a variety of malignancies, but its impact in extranodal natural killer/T cell lymphoma, nasal type (ENKTL-NT) is unknown. The aim of this study was to explore the prognostic relevance of sarcopenia defined by MRI-based masticatory muscle index in ENKTL-NT patients. A total of 112 patients with newly diagnosed ENKTL-NT who underwent cranial magnetic resonance imaging (MRI) were enrolled. The masticatory skeletal muscle index (M-SMI) was measured based on T2-weighted MR images and sarcopenia was defined by M-SMI<5.5 cm2/ m2. The median M-SMI was 5.47 (4.91-5.96) cm2/m2; 58 were identified with sarcopenia in this cohort. On multivariate analyses, sarcopenia was the only independently risk factor predicting overall survival (HR, 4.590; 95% CI, 1.657-12.715; p = 0.003), progression-free survival (HR, 3.048; 95% CI, 1.515-6.130; p = 0.002), and treatment response (HR, 0.112; 95% CI, 0.042-0.301; p < 0.001). In addition, we found that integrating sarcopenia into prognostic indices could improve the discriminative power of the corresponding original model. Stratification analysis showed that sarcopenia was able to further identify survival differences in patients that could not be distinguished by prognostic models. In summary, our study suggests that sarcopenia defined by MRI-based M-SMI represents a new and routinely applicable prognostic indicator of clinical outcome or predictor of treatment response in ENKTL-NT patients, and may aid in risk stratification and treatment decisions.
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Affiliation(s)
- Tianzi Xu
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Yi Li
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Yixin Liu
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Biao Ning
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Huijing Wu
- Department of Lymphoma Medicine (Breast Cancer & Soft Tissue Tumor Medicine), Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430079, China.
| | - Yongchang Wei
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China.
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16
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Bashir T, Achison M, Adamson S, Akpan A, Aspray T, Avenell A, Band MM, Burton LA, Cvoro V, Donnan PT, Duncan GW, George J, Gordon AL, Gregson CL, Hapca A, Hume C, Jackson TA, Kerr S, Kilgour A, Masud T, McKenzie A, McKenzie E, Patel H, Pilvinyte K, Roberts HC, Rossios C, Sayer AA, Smith KT, Soiza RL, Steves CJ, Struthers AD, Tiwari D, Whitney J, Witham MD, Kemp PR. Activin type I receptor polymorphisms and body composition in older individuals with sarcopenia-Analyses from the LACE randomised controlled trial. PLoS One 2023; 18:e0294330. [PMID: 37963137 PMCID: PMC10645316 DOI: 10.1371/journal.pone.0294330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/26/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND Ageing is associated with changes in body composition including an overall reduction in muscle mass and a proportionate increase in fat mass. Sarcopenia is characterised by losses in both muscle mass and strength. Body composition and muscle strength are at least in part genetically determined, consequently polymorphisms in pathways important in muscle biology (e.g., the activin/myostatin signalling pathway) are hypothesised to contribute to the development of sarcopenia. METHODS We compared regional body composition measured by DXA with genotypes for two polymorphisms (rs10783486, minor allele frequency (MAF) = 0.26 and rs2854464, MAF = 0.26) in the activin 1B receptor (ACVR1B) determined by PCR in a cross-sectional analysis of DNA from 110 older individuals with sarcopenia from the LACE trial. RESULTS Neither muscle mass nor strength showed any significant associations with either genotype in this cohort. Initial analysis of rs10783486 showed that males with the AA/AG genotype were taller than GG males (174±7cm vs 170±5cm, p = 0.023) and had higher arm fat mass, (median higher by 15%, p = 0.008), and leg fat mass (median higher by 14%, p = 0.042). After correcting for height, arm fat mass remained significantly higher (median higher by 4% padj = 0.024). No associations (adjusted or unadjusted) were seen in females. Similar analysis of the rs2854464 allele showed a similar pattern with the presence of the minor allele (GG/AG) being associated with greater height (GG/AG = 174±7 cm vs AA = 170 ±5cm, p = 0.017) and greater arm fat mass (median higher by 16%, p = 0.023). Again, the difference in arm fat remained after correction for height. No similar associations were seen in females analysed alone. CONCLUSION These data suggest that polymorphic variation in the ACVR1B locus could be associated with body composition in older males. The activin/myostatin pathway might offer a novel potential target to prevent fat accumulation in older individuals.
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Affiliation(s)
- Tufail Bashir
- Cardiovascular and Respiratory Interface Section, National Heart and Lung Institute, Imperial College London, South Kensington Campus, London, United Kingdom
| | - Marcus Achison
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Simon Adamson
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Asangaedem Akpan
- Liverpool University Hospitals NHS FT Trust, Clinical Research Network Northwest Coast, University of Liverpool, Liverpool, United Kingdom
| | - Terry Aspray
- AGE Research Group, NIHR Newcastle Biomedical Research Centre, Translational Clinical Research Institute, Cumbria Northumberland Tyne and Wear NHS Foundation Trust and Newcastle upon Tyne Hospitals NHS Trust, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Alison Avenell
- Health Services Research Unit, University of Aberdeen, Aberdeen, United Kingdom
| | - Margaret M. Band
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Louise A. Burton
- Medicine for the Elderly, NHS Tayside, Dundee, United Kingdom
- Ageing and Health, University of Dundee, Dundee, United Kingdom
| | - Vera Cvoro
- Victoria Hospital, Kirkcaldy, United Kingdom
- Centre for Clinical Brain Sciences University of Edinburgh, Edinburgh, United Kingdom
| | - Peter T. Donnan
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Gordon W. Duncan
- Centre for Clinical Brain Sciences University of Edinburgh, Edinburgh, United Kingdom
- Medicine for the Elderly, NHS Lothian, Edinburgh, United Kingdom
| | - Jacob George
- Division of Molecular & Clinical Medicine, Dept Clinical Pharmacology, Ninewells Hospital, University of Dundee Medical School, Dundee, United Kingdom
| | - Adam L. Gordon
- Unit of Injury, Inflammation and Recovery, School of Medicine, University of Nottingham, Nottingham, United Kingdom
- NIHR Nottingham Biomedical Research Centre, Department of Medicine for the Elderly, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, United Kingdom
| | - Celia L. Gregson
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Older Person’s Unit, Royal United Hospital NHS Foundation Trust Bath, Combe Park, Bath, United Kingdom
| | - Adrian Hapca
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Cheryl Hume
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Thomas A. Jackson
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
| | - Simon Kerr
- Department of Older People’s Medicine, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Alixe Kilgour
- Medicine for the Elderly, NHS Lothian, Edinburgh, United Kingdom
- Ageing and Health Research Group, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Tahir Masud
- Clinical Gerontology Research Unit, Nottingham University Hospitals NHS Trust, City Hospital Campus, Nottingham, United Kingdom
| | - Andrew McKenzie
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Emma McKenzie
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Harnish Patel
- NIHR Biomedical Research Centre, University of Southampton and University Hospital Southampton NHSFT, Southampton, United Kingdom
| | - Kristina Pilvinyte
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Helen C. Roberts
- Academic Geriatric Medicine, Mailpoint 807 Southampton General Hospital, University of Southampton, Southampton, United Kingdom
| | - Christos Rossios
- Cardiovascular and Respiratory Interface Section, National Heart and Lung Institute, Imperial College London, South Kensington Campus, London, United Kingdom
| | - Avan A. Sayer
- AGE Research Group, NIHR Newcastle Biomedical Research Centre, Translational Clinical Research Institute, Cumbria Northumberland Tyne and Wear NHS Foundation Trust and Newcastle upon Tyne Hospitals NHS Trust, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Karen T. Smith
- Tayside Clinical Trials Unit (TCTU), Tayside Medical Science Centre (TASC), Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Roy L. Soiza
- Ageing & Clinical Experimental Research (ACER) Group, University of Aberdeen, Aberdeen, United Kingdom
| | - Claire J. Steves
- Department of Twin Research and Genetic Epidemiology, King’s College London, Department of Clinical Gerontology, King’s College Hospital, London, United Kingdom
| | - Allan D. Struthers
- Division of Molecular & Clinical Medicine, Dept Clinical Pharmacology, Ninewells Hospital, University of Dundee Medical School, Dundee, United Kingdom
| | - Divya Tiwari
- Bournemouth University and Royal Bournemouth Hospital, Bournemouth, United Kingdom
| | - Julie Whitney
- School of Population Health & Environmental Sciences, King’s College London and King’s College Hospital, London, United Kingdom
| | - Miles D. Witham
- AGE Research Group, NIHR Newcastle Biomedical Research Centre, Translational Clinical Research Institute, Cumbria Northumberland Tyne and Wear NHS Foundation Trust and Newcastle upon Tyne Hospitals NHS Trust, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Paul R. Kemp
- Cardiovascular and Respiratory Interface Section, National Heart and Lung Institute, Imperial College London, South Kensington Campus, London, United Kingdom
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17
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Praktiknjo M, Zhou T, Krüsken M, Jacob T, Sprinkart AM, Nowak S, Kimmann M, Dold L, Chang J, Jansen C, Strassburg CP, Luetkens J, Weismüller TJ. Myosteatosis independently predicts transplant-free survival in patients with primary sclerosing cholangitis. Dig Liver Dis 2023; 55:1543-1547. [PMID: 37586906 DOI: 10.1016/j.dld.2023.08.037] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 07/10/2023] [Accepted: 08/01/2023] [Indexed: 08/18/2023]
Abstract
BACKGROUND Primary Sclerosing Cholangitis (PSC) is a progressive cholestatic liver disease with liver transplantation (LT) as the only curative therapy. Some regions use body-weight-loss as standard-exception criteria for organ allocation but data on the impact of body composition on survival of patients with PSC is scarce. METHODS Abdominal MRI of PSC patients were quantitatively analyzed for intramuscular fat fraction (IMFF) as surrogate of myosteatosis. Clinical and laboratory data were retrieved from patient records. Primary outcome was transplant-free survival (TFS). RESULTS 116 PSC patients were included. Median age was 38 (18-71) years with 74 (64%) male patients. 15 (13%) patients had significant weigh loss. IMFF was significantly associated with survival. Multivariate regression analysis showed IMFF ≥ 15% as independent predictor for TFS (p = 0.032, HR 3.215 CI 1.104-9.366), but not significant weight loss (p = 0.618). CONCLUSION IMFF is independently associated with TFS in patients with PSC and may identify patients with more urgent need for LT. NCT03584204.
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Affiliation(s)
- Michael Praktiknjo
- Department of Internal Medicine B, University Hospital Münster, Germany; Department of Internal Medicine I, University Hospital Bonn, Germany.
| | - Taotao Zhou
- Department of Internal Medicine I, University Hospital Bonn, Germany
| | | | - Torid Jacob
- Department of Internal Medicine B, University Hospital Münster, Germany
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Sebastian Nowak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Markus Kimmann
- Department of Internal Medicine B, University Hospital Münster, Germany
| | - Leona Dold
- Department of Internal Medicine I, University Hospital Bonn, Germany
| | - Johannes Chang
- Department of Internal Medicine I, University Hospital Bonn, Germany
| | - Christian Jansen
- Department of Internal Medicine I, University Hospital Bonn, Germany
| | | | - Julian Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany
| | - Tobias J Weismüller
- Department of Internal Medicine I, University Hospital Bonn, Germany; Department of Internal Medicine, Gastroenterology and Oncology, Vivantes Humboldt Hospital Berlin, Germany
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18
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Theis M, Block W, Luetkens JA, Attenberger UI, Nowak S, Sprinkart AM. Direct deep learning-based survival prediction from pre-interventional CT prior to transcatheter aortic valve replacement. Eur J Radiol 2023; 168:111150. [PMID: 37844428 DOI: 10.1016/j.ejrad.2023.111150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/27/2023] [Accepted: 10/10/2023] [Indexed: 10/18/2023]
Abstract
PURPOSE To investigate survival prediction in patients undergoing transcatheter aortic valve replacement (TAVR) using deep learning (DL) methods applied directly to pre-interventional CT images and to compare performance with survival models based on scalar markers of body composition. METHOD This retrospective single-center study included 760 patients undergoing TAVR (mean age 81 ± 6 years; 389 female). As a baseline, a Cox proportional hazards model (CPHM) was trained to predict survival on sex, age, and the CT body composition markers fatty muscle fraction (FMF), skeletal muscle radiodensity (SMRD), and skeletal muscle area (SMA) derived from paraspinal muscle segmentation of a single slice at L3/L4 level. The convolutional neural network (CNN) encoder of the DL model for survival prediction was pre-trained in an autoencoder setting with and without a focus on paraspinal muscles. Finally, a combination of DL and CPHM was evaluated. Performance was assessed by C-index and area under the receiver operating curve (AUC) for 1-year and 2-year survival. All methods were trained with five-fold cross-validation and were evaluated on 152 hold-out test cases. RESULTS The CNN for direct image-based survival prediction, pre-trained in a focussed autoencoder scenario, outperformed the baseline CPHM (CPHM: C-index = 0.608, 1Y-AUC = 0.606, 2Y-AUC = 0.594 vs. DL: C-index = 0.645, 1Y-AUC = 0.687, 2Y-AUC = 0.692). Combining DL and CPHM led to further improvement (C-index = 0.668, 1Y-AUC = 0.713, 2Y-AUC = 0.696). CONCLUSIONS Direct DL-based survival prediction shows potential to improve image feature extraction compared to segmentation-based scalar markers of body composition for risk assessment in TAVR patients.
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Affiliation(s)
- Maike Theis
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Department of Radiotherapy and Radiation Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
| | - Sebastian Nowak
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
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19
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Vasilevska Nikodinovska V, Ivanoski S. Sarcopenia, More Than Just Muscle Atrophy: Imaging Methods for the Assessment of Muscle Quantity and Quality. ROFO-FORTSCHR RONTG 2023; 195:777-789. [PMID: 37160148 DOI: 10.1055/a-2057-0205] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
BACKGROUND Sarcopenia, a progressive reduction of muscle mass and function, is associated with adverse outcomes in the elderly. Sarcopenia and muscle atrophy are not equal processes. Low muscle strength in association with muscle quantity/quality reduction is currently the optimal method for assessing sarcopenia. There is a practical need for indirect measurement of muscle strength using state-of-the-art imaging techniques. METHODS The following provides a narrative, broad review of all current imaging techniques for evaluating muscles and identifying sarcopenia, including DEXA, CT, MRI, and high-resolution ultrasound, their main strengths, weaknesses, and possible solutions to problems regarding each technique. RESULTS AND CONCLUSION Well-recognized imaging methods for the assessment of muscle mass are explained, including evaluation with DEXA, CT, and MRI muscle quantity assessment, ultrasound evaluation of muscle thickness and CSA, and their correlations with established muscle mass calculation methods. A special focus is on imaging methods for muscle quality evaluation. Several innovative and promising techniques that are still in the research phase but show potential in the assessment of different properties of muscle quality, including MRI DIXON sequences, MRI spectroscopy, Diffusion Tensor Imaging, ultrasound echo intensity, ultrasound elastography, and speed-of-sound ultrasound imaging are briefly mentioned. KEY POINTS · Sarcopenia definition includes low muscle strength and low muscle quantity/quality.. · DEXA is a low-radiation method for whole-body composition measurement in a single image.. · CT has established cut-off values for muscle quality/quantity evaluation and sarcopenia diagnosis.. · MRI is the most sophisticated muscle quality assessment method capable of evaluating myosteatosis, myofibrosis, and microstructure.. · Ultrasound can evaluate muscle quality, including tissue architecture, and elasticity with excellent spatial resolution.. CITATION FORMAT · Vasilevska Nikodinovska V, Ivanoski S, . Sarcopenia, More Than Just Muscle Atrophy: Imaging Methods for the Assessment of Muscle Quantity and Quality. Fortschr Röntgenstr 2023; 195: 777 - 789.
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Affiliation(s)
| | - Slavcho Ivanoski
- Diagnostic Radiology, St. Erasmo Hospital, Ohrid, North Macedonia
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20
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Beumer BR, Takagi K, Buettner S, Umeda Y, Yagi T, Fujiwara T, van Vugt JL, IJzermans JN. Impact of sarcopenia on clinical outcomes for patients with resected hepatocellular carcinoma: a retrospective comparison of Eastern and Western cohorts. Int J Surg 2023; 109:2258-2266. [PMID: 37204461 PMCID: PMC10442104 DOI: 10.1097/js9.0000000000000458] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/01/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Patient fitness is important for guiding treatment. Muscle mass, as a reflection thereof, can be objectively measured. However, the role of East-West differences remains unclear. Therefore, we compared the impact of muscle mass on clinical outcomes after liver resection for hepatocellular carcinoma (HCC) in a Dutch [the Netherlands (NL)] and Japanese [Japan (JP)] setting and evaluated the predictive performance of different cutoff values for sarcopenia. METHOD In this multicenter retrospective cohort study, patients with HCC undergoing liver resection were included. The skeletal muscle mass index (SMI) was determined on computed tomography scans obtained within 3 months before surgery. The primary outcome measure was overall survival (OS). Secondary outcome measures were: 90-day mortality, severe complications, length of stay, and recurrence-free survival. The predictive performance of several sarcopenia cutoff values was studied using the concordance index (C-index) and area under the curve. Interaction terms were used to study the geographic effect modification of muscle mass. RESULTS Demographics differed between NL and JP. Gender, age, and body mass index were associated with SMI. Significant effect modification between NL and JP was found for BMI. The predictive performance of sarcopenia for both short-term and long-term outcomes was higher in JP compared to NL (maximum C-index: 0.58 vs. 0.55, respectively). However, differences between cutoff values were small. For the association between sarcopenia and OS, a strong association was found in JP [hazard ratio (HR) 2.00, 95% CI [1.230-3.08], P =0.002], where this was not found in NL (0.76 [0.42-1.36], P =0.351). The interaction term confirmed that this difference was significant (HR 0.37, 95% CI [0.19-0.73], P =0.005). CONCLUSIONS The impact of sarcopenia on survival differs between the East and West. Clinical trials and treatment guidelines using sarcopenia for risk stratification should be validated in race-dependent populations prior to clinical adoption.
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Affiliation(s)
- Berend R. Beumer
- Department of Surgery, Division of HPB and Transplant Surgery, Erasmus MC Transplant Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Kosei Takagi
- Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Japan Okayama University Hospital, Okayama, Japan
| | - Stefan Buettner
- Department of Surgery, Division of HPB and Transplant Surgery, Erasmus MC Transplant Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Yuzo Umeda
- Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Japan Okayama University Hospital, Okayama, Japan
| | - Takahito Yagi
- Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Japan Okayama University Hospital, Okayama, Japan
| | - Toshiyoshi Fujiwara
- Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Japan Okayama University Hospital, Okayama, Japan
| | - Jeroen L.A. van Vugt
- Department of Surgery, Division of HPB and Transplant Surgery, Erasmus MC Transplant Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Jan N.M. IJzermans
- Department of Surgery, Division of HPB and Transplant Surgery, Erasmus MC Transplant Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
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21
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Bunout D, Gonzalez S, Canales M, Barrera G, Hirsch S. Ultrasound assessment of rectus femoris pennation angle and echogenicity. Their association with muscle functional measures and fat infiltration measured by CT scan. Clin Nutr ESPEN 2023; 55:420-424. [PMID: 37202077 DOI: 10.1016/j.clnesp.2023.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/08/2023] [Accepted: 04/17/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND & AIMS Ultrasound can be used to measure the pennation angle between muscle fiver and the presumed axis of force generation and muscle echogenicity as an indicator of muscle fat infiltration. We aimed to assess the association of the rectus femoris pennation angle and echogenicity with muscle functional measures. Also, to assess the concordance of rectus femoris echogenicity with muscle fat infiltration as determined by CT scan. METHODS Rectus femoris ultrasound pennation angle and thickness were measured in 78 participants aged 69 (65,73) years (37 women). Also hand grip strength, gait speed in 4 m, the 12 min' walk and body composition by DEXA were measured. In a different group of 114 participants aged 44 (31,52) years (80 females), non-dominant rectus femoris echogenicity and thickness were measured by ultrasound and muscle fat infiltration was assessed by CT scan. Handgrip strength and quadriceps torque were also measured. RESULTS There was a weak correlation between the pennation angle and rectus femoris thickness in men (r = 0.31 p = 0.05) but not in women (r = 0.29 NS). Women, but not men with a low pennation angle covered a longer distance during the 12 min' walk. The concordance between the z scores of rectus femoris echogenicity and CT radiological density was 0.43 (p < 0.01) and 0.01 (NS) in men and women, respectively. Men and women with an echogenicity below the 25th percentile had a higher quadriceps torque. Men with an echogenicity 25th percentile below 25th percentile had also a higher handgrip strength. CONCLUSIONS Rectus femoris pennation angle had a weak or absent association with muscle performance. Rectus femoris echogenicity had a moderate overall concordance with radiological density by CT scan and was inversely associated with quadriceps torque. Therefore, echogenicity was associated with muscle strength, but pennation angle measurement did not contribute to the assessment of muscle function.
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Affiliation(s)
- Daniel Bunout
- Institute of Nutrition and Food Technology (INTA), University of Chile, Chile.
| | - Sonya Gonzalez
- Institute of Nutrition and Food Technology (INTA), University of Chile, Chile
| | - Marcela Canales
- Institute of Nutrition and Food Technology (INTA), University of Chile, Chile
| | - Gladys Barrera
- Institute of Nutrition and Food Technology (INTA), University of Chile, Chile
| | - Sandra Hirsch
- Institute of Nutrition and Food Technology (INTA), University of Chile, Chile
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22
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Shah UA, Ballinger TJ, Bhandari R, Dieli-Conwright CM, Guertin KA, Hibler EA, Kalam F, Lohmann AE, Ippolito JE. Imaging modalities for measuring body composition in patients with cancer: opportunities and challenges. J Natl Cancer Inst Monogr 2023; 2023:56-67. [PMID: 37139984 PMCID: PMC10157788 DOI: 10.1093/jncimonographs/lgad001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 12/15/2022] [Accepted: 12/30/2022] [Indexed: 05/05/2023] Open
Abstract
Body composition assessment (ie, the measurement of muscle and adiposity) impacts several cancer-related outcomes including treatment-related toxicities, treatment responses, complications, and prognosis. Traditional modalities for body composition measurement include body mass index, body circumference, skinfold thickness, and bioelectrical impedance analysis; advanced imaging modalities include dual energy x-ray absorptiometry, computerized tomography, magnetic resonance imaging, and positron emission tomography. Each modality has its advantages and disadvantages, thus requiring an individualized approach in identifying the most appropriate measure for specific clinical or research situations. Advancements in imaging approaches have led to an abundance of available data, however, the lack of standardized thresholds for classification of abnormal muscle mass or adiposity has been a barrier to adopting these measurements widely in research and clinical care. In this review, we discuss the different modalities in detail and provide guidance on their unique opportunities and challenges.
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Affiliation(s)
- Urvi A Shah
- Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Tarah J Ballinger
- Department of Medicine, Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - Rusha Bhandari
- Department of Pediatrics, City of Hope, Duarte, CA, USA
- Department of Population Science, City of Hope, Duarte, CA, USA
| | - Christina M Dieli-Conwright
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Kristin A Guertin
- Department of Public Health Sciences, University of Connecticut Health, Farmington, CT, USA
| | - Elizabeth A Hibler
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Faiza Kalam
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Ana Elisa Lohmann
- Department of Medical Oncology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Joseph E Ippolito
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St Louis, MO, USA
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23
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Yu X, Huang YH, Feng YZ, Cheng ZY, Wang CC, Cai XR. Association of body composition with postoperative complications after laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass. Eur J Radiol 2023; 162:110768. [PMID: 36913816 DOI: 10.1016/j.ejrad.2023.110768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 03/02/2023] [Accepted: 03/06/2023] [Indexed: 03/11/2023]
Abstract
OBJECTIVE To evaluate predictive values of body composition parameters measured from preoperative CT/MRIs for postoperative complications after laparoscopic sleeve gastrectomy (LSG) and Roux-en-Y gastric bypass (LRYGB) in patients with obesity. METHODS In this retrospective case-control study, patients performing abdominal CT/MRIs within one month before and developing 30-day complications after bariatric procedures were matched for age, sex, and type of surgery with patients without complications (1/3 ratio, respectively). Complications were determined by documentation in the medical record. Two readers blindly segmented the total abdominal muscle area (TAMA) and visceral fat area (VFA) using predetermined thresholds for the Hounsfield unit (HU) on unenhanced CT and the signal intensity (SI) on T1-weighted MRI at the L3 vertebral level. Visceral obesity (VO) was defined as VFA > 136 cm2 in males and > 95 cm2 in females. These measures, along with perioperative variables, were compared. Multivariate logistic regression analyses were performed. RESULTS Of 145 included patients, 36 had postoperative complications. No significant differences between LSG and LRYGB were present regarding complications and VO. Hypertension (p = 0.022), impaired lung function (p = 0.018), American Society of Anesthesiologists (ASA) grade (p = 0.046), VO (p = 0.021), and VFA/TAMA ratio (p < 0.0001) were associated with postoperative complications in the univariate logistic analysis; the VFA/TAMA ratio was the only independent predictor in multivariate analyses (OR 2.01, 95% CI 1.37-2.93, p < 0.001). CONCLUSION The VFA/TAMA ratio provides important perioperative information in predicting patients who are likely to develop postoperative complications undergoing bariatric surgery.
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Affiliation(s)
- Xin Yu
- Medical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yan-Hao Huang
- Medical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - You-Zhen Feng
- Medical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Zhong-Yuan Cheng
- Medical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Cun-Chuan Wang
- Department of General Surgery, First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Xiang-Ran Cai
- Medical Imaging Centre, First Affiliated Hospital of Jinan University, Guangzhou, China.
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24
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Diallo TD, Rospleszcz S, Fabian J, Walter SS, Maurer E, Storz C, Roemer F, Rathmann W, Peters A, Jungmann PM, Jung M, Bamberg F, Kiefer LS. Associations of myosteatosis with disc degeneration: A 3T magnetic resonance imaging study in individuals with impaired glycaemia. J Cachexia Sarcopenia Muscle 2023. [PMID: 36892104 DOI: 10.1002/jcsm.13192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 11/11/2022] [Accepted: 01/22/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND Intervertebral disc degeneration (IVDD) may be linked to dysregulations of skeletal muscle glucose metabolism and fatty alterations of muscle composition (Myosteatosis). Our aim was to evaluate the different associations of magnetic resonance imaging (MRI)-based paravertebral myosteatosis with lumbar disc degeneration in individuals with impaired glucose metabolism and normoglycaemic controls. METHODS In total, 304 individuals (mean age: 56.3 ± 9.1 years, 53.6% male sex, mean body mass index [BMI]: 27.6 ± 4.7 kg/m2 ) from a population-based cohort study who underwent 3-Tesla whole-body chemical-shift-encoded (six echo times) and T2-weighted single-shot-fast-spin-echo MRI were included. Lumbar disc degeneration was assessed at motion segments L1 to L5, categorized according to the Pfirrmann score and defined as Pfirrmann grade > 2 and/or disc bulging/herniation on at least one segment. Fat content of the autochthonous back muscles and the quadratus lumborum muscle was quantified as proton density fat fraction (PDFFmuscle ). Logistic regression models adjusted for age, sex, BMI and regular physical activity were calculated to evaluate the association between PDFFmuscle and outcome IVDD. RESULTS The overall prevalence of IVDD was 79.6%. There was no significant difference in the prevalence or severity distribution of IVDD between participants with or without impaired glucose metabolism (77.7% vs. 80.7%, P = 0.63 and P = 0.71, respectively). PDFFmuscle was significantly and positively associated with an increased risk for the presence of IVDD in participants with impaired glycaemia when adjusted for age, sex and BMI (PDFFautochthonous back muscles : odds ratio [OR] 2.16, 95% confidence interval [CI] [1.09, 4.3], P = 0.03; PDFFquadratus lumborum : OR 2.01, 95% CI [1.04, 3.85], P = 0.04). After further adjustment for regular physical activity, the results attenuated, albeit approaching statistical significance (PDFFautochthonous back muscles : OR 1.97, 95% CI [0.97, 3.99], P = 0.06; PDFFquadratus lumborum : OR 1.86, 95% CI [0.92, 3.76], P = 0.09). No significant associations were shown in healthy controls (PDFFautochthonous back muscles : OR 0.62, 95% CI [0.34, 1.14], P = 0.13; PDFFquadratus lumborum : OR 1.06, 95% CI [0.6, 1.89], P = 0.83). CONCLUSIONS Paravertebral myosteatosis is positively associated with intervertebral disc disease in individuals with impaired glucose metabolism, independent of age, sex and BMI. Regular physical activity may confound these associations. Longitudinal studies will help to better understand the pathophysiological role of skeletal muscle in those with concomitant disturbed glucose haemostasis and intervertebral disc disease, as well as possible underlying causal relationships.
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Affiliation(s)
- Thierno D Diallo
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Susanne Rospleszcz
- Department of Epidemiology, Ludwig-Maximilians-University München, Munich, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Centre for Cardiovascular Research (DZHK e.V.), Munich, Germany
| | - Jana Fabian
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Sven S Walter
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Department of Radiology, Division of Musculoskeletal Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Elke Maurer
- Department for Trauma and Reconstructive Surgery, BG Unfallklinik Tuebingen, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Corinna Storz
- Department of Neuroradiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Frank Roemer
- Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany
| | - Annette Peters
- Department of Epidemiology, Ludwig-Maximilians-University München, Munich, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Centre for Cardiovascular Research (DZHK e.V.), Munich, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Pia M Jungmann
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Matthias Jung
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Lena S Kiefer
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University of Tuebingen, Tuebingen, Germany.,Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard Karls University of Tuebingen, Tuebingen, Germany
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25
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Elhakim T, Trinh K, Mansur A, Bridge C, Daye D. Role of Machine Learning-Based CT Body Composition in Risk Prediction and Prognostication: Current State and Future Directions. Diagnostics (Basel) 2023; 13:968. [PMID: 36900112 PMCID: PMC10000509 DOI: 10.3390/diagnostics13050968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/11/2023] [Accepted: 02/18/2023] [Indexed: 03/08/2023] Open
Abstract
CT body composition analysis has been shown to play an important role in predicting health and has the potential to improve patient outcomes if implemented clinically. Recent advances in artificial intelligence and machine learning have led to high speed and accuracy for extracting body composition metrics from CT scans. These may inform preoperative interventions and guide treatment planning. This review aims to discuss the clinical applications of CT body composition in clinical practice, as it moves towards widespread clinical implementation.
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Affiliation(s)
- Tarig Elhakim
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Kelly Trinh
- School of Medicine, Texas Tech University Health Sciences Center, School of Medicine, Lubbock, TX 79430, USA
| | - Arian Mansur
- Harvard Medical School, Harvard University, Boston, MA 02115, USA
| | - Christopher Bridge
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Harvard University, Boston, MA 02115, USA
| | - Dania Daye
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Harvard University, Boston, MA 02115, USA
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26
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Vogele D, Otto S, Sollmann N, Haggenmüller B, Wolf D, Beer M, Schmidt SA. Sarcopenia - Definition, Radiological Diagnosis, Clinical Significance. ROFO-FORTSCHR RONTG 2023; 195:393-405. [PMID: 36630983 DOI: 10.1055/a-1990-0201] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Sarcopenia is an age-related syndrome characterized by a loss of muscle mass and strength. As a result, the independence of the elderly is reduced and the hospitalization rate and mortality increase. The onset of sarcopenia often begins in middle age due to an unbalanced diet or malnutrition in association with a lack of physical activity. This effect is intensified by concomitant diseases such as obesity or metabolic diseases including diabetes mellitus. METHOD With effective preventative diagnostic procedures and specific therapeutic treatment of sarcopenia, the negative effects on the individual can be reduced and the negative impact on health as well as socioeconomic effects can be prevented. Various diagnostic options are available for this purpose. In addition to basic clinical methods such as measuring muscle strength, sarcopenia can also be detected using imaging techniques like dual X-ray absorptiometry (DXA), computed tomography (CT), magnetic resonance imaging (MRI), and sonography. DXA, as a simple and cost-effective method, offers a low-dose option for assessing body composition. With cross-sectional imaging techniques such as CT and MRI, further diagnostic possibilities are available, including MR spectroscopy (MRS) for noninvasive molecular analysis of muscle tissue. CT can also be used in the context of examinations performed for other indications to acquire additional parameters of the skeletal muscles (opportunistic secondary use of CT data), such as abdominal muscle mass (total abdominal muscle area - TAMA) or the psoas as well as the pectoralis muscle index. The importance of sarcopenia is already well studied for patients with various tumor entities and also infections such as SARS-COV2. RESULTS AND CONCLUSION Sarcopenia will become increasingly important, not least due to demographic changes in the population. In this review, the possibilities for the diagnosis of sarcopenia, the clinical significance, and therapeutic options are described. In particular, CT examinations, which are repeatedly performed on tumor patients, can be used for diagnostics. This opportunistic use can be supported by the use of artificial intelligence. KEY POINTS · Sarcopenia is an age-related syndrome with loss of muscle mass and strength.. · Early detection and therapy can prevent negative effects of sarcopenia.. · In addition to DEXA, cross-sectional imaging techniques (CT, MRI) are available for diagnostic purposes.. · The use of artificial intelligence (AI) offers further possibilities in sarcopenia diagnostics.. CITATION FORMAT · Vogele D, Otto S, Sollmann N et al. Sarcopenia - Definition, Radiological Diagnosis, Clinical Significance. Fortschr Röntgenstr 2023; DOI: 10.1055/a-1990-0201.
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Affiliation(s)
- Daniel Vogele
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Germany
| | - Stephanie Otto
- Comprehensive Cancer Center (CCCU), University Hospital Ulm, Germany
| | - Nico Sollmann
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Germany
| | - Benedikt Haggenmüller
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Germany
| | - Daniel Wolf
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Germany
| | - Meinrad Beer
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Germany
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27
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Ezpeleta M, Gabel K, Cienfuegos S, Kalam F, Lin S, Pavlou V, Song Z, Haus JM, Koppe S, Alexandria SJ, Tussing-Humphreys L, Varady KA. Effect of alternate day fasting combined with aerobic exercise on non-alcoholic fatty liver disease: A randomized controlled trial. Cell Metab 2023; 35:56-70.e3. [PMID: 36549296 PMCID: PMC9812925 DOI: 10.1016/j.cmet.2022.12.001] [Citation(s) in RCA: 55] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 09/20/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022]
Abstract
Innovative non-pharmacological lifestyle strategies to treat non-alcoholic fatty liver disease (NAFLD) are critically needed. This study compared the effects of alternate day fasting (ADF) combined with exercise to fasting alone, or exercise alone, on intrahepatic triglyceride (IHTG) content. Adults with obesity and NAFLD (n = 80, 81% female, age: 23-65 years) were randomized to 1 of 4 groups for 3 months: combination of ADF (600 kcal/2,500 kJ "fast day" alternated with an ad libitum intake "feast day") and moderate-intensity aerobic exercise (5 session per week, 60 min/session); ADF alone; exercise alone; or a no-intervention control group. By month 3, IHTG content was significantly reduced in the combination group (-5.48%; 95% CI, -7.77% to -3.18%), compared with the exercise group (-1.30%; 95% CI, -3.80% to 1.20%; p = 0.02) and the control group (-0.17%; 95% CI, -2.17% to 1.83%; p < 0.01) but was not significantly different versus the ADF group (-2.25%; 95% CI, -4.46% to -0.04%; p = 0.05). Body weight, fat mass, waist circumference, and alanine transaminase (ALT) levels significantly decreased, while insulin sensitivity significantly increased in the combination group compared with the control group. Lean mass, aspartate transaminase (AST), HbA1c, blood pressure, plasma lipids, liver fibrosis score, and hepatokines (fetuin-A, FGF-21, and selenoprotein P) did not differ between groups. Combining intermittent fasting with exercise is effective for reducing hepatic steatosis in patients with NAFLD but may offer no additional benefit versus fasting alone.
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Affiliation(s)
- Mark Ezpeleta
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Kelsey Gabel
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Sofia Cienfuegos
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Faiza Kalam
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Shuhao Lin
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Vasiliki Pavlou
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Zhenyuan Song
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Jacob M Haus
- School of Kinesiology, University of Michigan, Ann Arbor, MI, USA
| | - Sean Koppe
- Division of Gastroenterology and Hepatology, University of Illinois at Chicago, Chicago, IL, USA
| | - Shaina J Alexandria
- Department of Preventative Medicine (Biostatistics), Northwestern University, Chicago, IL, USA
| | - Lisa Tussing-Humphreys
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Krista A Varady
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA.
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28
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Beumer BR, van Vugt JL, Sapisochin G, Yoon P, Bongini M, Lu D, Xu X, De Simone P, Pintore L, Golse N, Nowosad M, Bennet W, Tsochatzis E, Koutli E, Abbassi F, Claasen MP, Merli M, O'Rourke J, Gambato M, Benito A, Majumdar A, Tan EK, Ebadi M, Montano‐Loza AJ, Berenguer M, Metselaar HJ, Polak WG, Mazzaferro V, IJzermans JN. Impact of muscle mass on survival of patients with hepatocellular carcinoma after liver transplantation beyond the Milan criteria. J Cachexia Sarcopenia Muscle 2022; 13:2373-2382. [PMID: 36622940 PMCID: PMC9530497 DOI: 10.1002/jcsm.13053] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/31/2022] [Accepted: 06/25/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Access to the liver transplant waitlist for patients with hepatocellular carcinoma (HCC) depends on tumour presentation, biology, and response to treatments. The Milan Criteria (MC) represent the benchmark for expanded criteria that incorporate additional prognostic factors. The purpose of this study was to determine the added value of skeletal muscle index (SMI) in HCC patients beyond the MC. METHOD Patients with HCC that were transplanted beyond the MC were included in this retrospective multicentre study. SMI was quantified using the Computed Tomography (CT) within 3 months prior to transplantation. Cox regression models were used to identify predictors of overall survival (OS). The discriminative performance of SMI extended Metroticket 2.0 and AFP models was also assessed. RESULTS Out of 889 patients transplanted outside the MC, 528 had a CT scan within 3 months prior to liver transplantation (LT), of whom 176 (33%) were classified as sarcopenic. The median time between assessment of the SMI and LT was 1.8 months (IQR: 0.77-2.67). The median follow-up period was 5.1 95% CI [4.7-5.5] years, with a total of 177 recorded deaths from any cause. In a linear regression model with SMI as the dependent variable, only male gender (8.55 95% CI [6.51-10.59], P < 0.001) and body mass index (0.74 95% CI [0.59-0.89], P < 0.001) were significant. Univariable survival analysis of patients with sarcopenia versus patients without sarcopenia showed a significant difference in OS (HR 1.44 95% CI [1.07 - 1.94], P = 0.018). Also the SMI was significant (HR 0.98 95% CI [0.96-0.99], P = 0.014). The survival difference between the lowest SMI quartile versus the highest SMI quartile was significant (log-rank: P = 0.005) with 5 year OS of 57% and 71%, respectively. Data from 423 patients, describing 139 deaths, was used for multivariate analysis. Both sarcopenia (HR 1.45 95% CI [1.02 - 2.05], P = 0.036) and SMI were (HR 0.98 95% CI [0.95-0.99], P = 0.035) significant. On the survival scale this translates to a 5 year OS difference of 11% between sarcopenia and no sarcopenia. Whereas for SMI, this translates to a survival difference of 8% between first and third quartiles for both genders. CONCLUSIONS Overall, we can conclude that higher muscle mass contributes to a better long-term survival. However, for individual patients, low muscle mass should not be considered an absolute contra-indication for LT as its discriminatory performance was limited.
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Affiliation(s)
- Berend R. Beumer
- Erasmus MC Transplant Institute, Department of Surgery, Division of HPB & Transplant SurgeryUniversity Medical Centre RotterdamRotterdamThe Netherlands
| | - Jeroen L.A. van Vugt
- Erasmus MC Transplant Institute, Department of Surgery, Division of HPB & Transplant SurgeryUniversity Medical Centre RotterdamRotterdamThe Netherlands
| | - Gonzalo Sapisochin
- Multi Organ Transplant Program, University Health NetworkUniversity of TorontoTorontoCanada
| | - Peter Yoon
- Multi Organ Transplant Program, University Health NetworkUniversity of TorontoTorontoCanada
- Department of SurgeryWestmead HospitalSydneyAustralia
| | - Marco Bongini
- Gastrointestinal Surgery and Liver Transplantation, National Cancer Institute of Milan, Department of OncologyUniversity of MilanMilanItaly
| | - Di Lu
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Xiao Xu
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Paolo De Simone
- Hepatobiliary Surgery and Liver TransplantationAzienda Ospedaliero‐Universitaria PisanaPisaItaly
| | - Lorenzo Pintore
- Hepatobiliary Surgery and Liver TransplantationAzienda Ospedaliero‐Universitaria PisanaPisaItaly
| | - Nicolas Golse
- Centre Hépato‐Biliaire, Hôpital Paul BrousseUniversité Paris‐SudVillejuifFrance
| | - Malgorzata Nowosad
- Department of General Transplant and Liver SurgeryMedical University of WarsawWarsawPoland
| | - William Bennet
- Transplant Institute, Sahlgrenska University HospitalSahlgrenska AcademyGothenburgSweden
| | - Emmanouil Tsochatzis
- Royal Free Sheila Sherlock Liver CentreRoyal Free Hospital and UCL Institute of Liver and Digestive HealthLondonUK
| | - Evangelia Koutli
- Royal Free Sheila Sherlock Liver CentreRoyal Free Hospital and UCL Institute of Liver and Digestive HealthLondonUK
| | - Fariba Abbassi
- Division of Digestive SurgeryUniversity Hospitals of GenevaGenèveSwitzerland
| | - Marco P.A.W. Claasen
- Erasmus MC Transplant Institute, Department of Surgery, Division of HPB & Transplant SurgeryUniversity Medical Centre RotterdamRotterdamThe Netherlands
- Multi Organ Transplant Program, University Health NetworkUniversity of TorontoTorontoCanada
| | - Manuela Merli
- Section of Gastroenterology, Department of Translational and Precision MedicineSapienza University of RomeRomeItaly
| | - Joanne O'Rourke
- The Liver UnitQueen Elizabeth Hospital BirminghamBirminghamUK
| | - Martina Gambato
- Section of Gastroenterology, Department of Surgery, Oncology and GastroenterologyUniversity of PadovaPadovaItaly
| | - Alberto Benito
- Section of RadiologyClinica Universidad de NavarraPamplonaSpain
| | - Avik Majumdar
- AW Morrow Gastroenterology and Liver CentreRoyal Prince Alfred HospitalSydneyAustralia
| | - Ek Khoon Tan
- Department of Hepatopancreatobiliary and Transplant SurgerySingapore General HospitalSingapore
| | - Maryam Ebadi
- Division of Gastroenterology and Liver Unit, Zeidler Ledcor CentreUniversity of AlbertaEdmontonCanada
| | - Aldo J. Montano‐Loza
- Division of Gastroenterology and Liver Unit, Zeidler Ledcor CentreUniversity of AlbertaEdmontonCanada
| | - Marina Berenguer
- Hepatology & Liver Transplantation Unit and Ciberehd and ISS La Fe, Hospital Universitario y Politécnico La FeUniversity of ValenciaValenciaSpain
| | - Herold J. Metselaar
- Erasmus MC Transplant Institute, Department of Gastroenterology and HepatologyUniversity Medical Centre RotterdamRotterdamThe Netherlands
| | - Wojciech G. Polak
- Erasmus MC Transplant Institute, Department of Surgery, Division of HPB & Transplant SurgeryUniversity Medical Centre RotterdamRotterdamThe Netherlands
| | - Vincenzo Mazzaferro
- Gastrointestinal Surgery and Liver Transplantation, National Cancer Institute of Milan, Department of OncologyUniversity of MilanMilanItaly
| | - Jan N.M. IJzermans
- Erasmus MC Transplant Institute, Department of Surgery, Division of HPB & Transplant SurgeryUniversity Medical Centre RotterdamRotterdamThe Netherlands
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Fukushima H, Koga F. Impact of sarcopenia in bladder preservation therapy for muscle-invasive bladder cancer patients: a narrative review. Transl Androl Urol 2022; 11:1433-1441. [PMID: 36386266 PMCID: PMC9641057 DOI: 10.21037/tau-22-355] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 09/14/2022] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Muscle-invasive bladder cancer (MIBC) is a biologically aggressive disease and its prognosis is poor. Radical cystectomy (RC) with urinary diversion and lymph node dissection is the gold standard treatment for MIBC patients. Accumulating evidence indicates that sarcopenia, the degenerative and systemic loss of skeletal muscle mass, is a significant predictor of higher rates of mortality and perioperative complications following RC. Recently, bladder preservation therapy has been offered as an alternative in appropriately selected MIBC patients who desire to preserve their bladders and those unfit or unwilling for RC. Here, we performed a narrative review on the impact of sarcopenia on oncological outcomes and complication rates in MIBC patients treated with bladder preservation therapy. METHODS A literature review was performed using the PubMed and Scopus databases. KEY CONTENT AND FINDINGS We identified two studies reported the impact of sarcopenia on responses to trimodal therapy and survival outcomes in MIBC patients. Consolidative partial cystectomy was performed in patients who achieved clinical complete response (CR) to trimodal therapy in one of the two studies. In both studies, CR rates to trimodal therapy are comparable between sarcopenic and non-sarcopenic patients. Sarcopenia was not significantly associated with shorter survival after completing bladder preservation therapy in either study. For complication rates of bladder preservation therapy, one study showed equivalent complication rates of consolidative partial cystectomy between sarcopenic and non-sarcopenic patients. In addition, in another small series of trimodal therapy, sarcopenic patients showed a higher rate of complications of trimodal therapy compared with non-sarcopenic patients. CONCLUSIONS According to the result of our literature review, sarcopenia would not affect responses to trimodal therapy and prognosis in MIBC patients treated with bladder preservation therapy. Although the effect of sarcopenia on complication rates of bladder preservation therapy is inconclusive due to limited evidence, bladder preservation therapy could be a viable alternative option in carefully selected MIBC patients regardless of the presence of sarcopenia.
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Affiliation(s)
- Hiroshi Fukushima
- Department of Urology, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
| | - Fumitaka Koga
- Department of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Bunkyo-ku, Tokyo, Japan
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Yamazaki H, Tauchi S, Machann J, Haueise T, Yamamoto Y, Dohke M, Hanawa N, Kodama Y, Katanuma A, Stefan N, Fritsche A, Birkenfeld AL, Wagner R, Heni M. Fat Distribution Patterns and Future Type 2 Diabetes. Diabetes 2022; 71:1937-1945. [PMID: 35724270 DOI: 10.2337/db22-0315] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 06/08/2022] [Indexed: 11/13/2022]
Abstract
Fat accumulation in the liver, pancreas, skeletal muscle, and visceral bed relates to type 2 diabetes (T2D). However, the distribution of fat among these compartments is heterogenous and whether specific distribution patterns indicate high T2D risk is unclear. We therefore investigated fat distribution patterns and their link to future T2D. From 2,168 individuals without diabetes who underwent computed tomography in Japan, this case-cohort study included 658 randomly selected individuals and 146 incident cases of T2D over 6 years of follow-up. Using data-driven analysis (k-means) based on fat content in the liver, pancreas, muscle, and visceral bed, we identified four fat distribution clusters: hepatic steatosis, pancreatic steatosis, trunk myosteatosis, and steatopenia. In comparisons with the steatopenia cluster, the adjusted hazard ratios for incident T2D were 4.02 (95% CI 2.27-7.12) for the hepatic steatosis cluster, 3.38 (1.65-6.91) for the pancreatic steatosis cluster, and 1.95 (1.07-3.54) for the trunk myosteatosis cluster. The clusters were replicated in 319 German individuals without diabetes who underwent MRI and metabolic phenotyping. The distribution of the glucose area under the curve across the four clusters found in Germany was similar to the distribution of T2D risk across the four clusters in Japan. Insulin sensitivity and insulin secretion differed across the four clusters. Thus, we identified patterns of fat distribution with different T2D risks presumably due to differences in insulin sensitivity and insulin secretion.
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Affiliation(s)
- Hajime Yamazaki
- Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinichi Tauchi
- Department of Radiology, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Jürgen Machann
- Section on Experimental Radiology, Department of Radiology, Eberhard-Karls University, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
| | - Tobias Haueise
- Section on Experimental Radiology, Department of Radiology, Eberhard-Karls University, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
| | - Yosuke Yamamoto
- Department of Healthcare Epidemiology, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Mitsuru Dohke
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Nagisa Hanawa
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Yoshihisa Kodama
- Department of Radiology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Akio Katanuma
- Center for Gastroenterology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
| | - Andreas Fritsche
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
| | - Andreas L Birkenfeld
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
| | - Róbert Wagner
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
- German Diabetes Center (DDZ), Leibniz Center for Diabetes Research, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Martin Heni
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
- Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany
- Department of Internal Medicine I, University of Ulm, Ulm, Germany
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Lortie J, Rush B, Osterbauer K, Colgan TJ, Tamada D, Garlapati S, Campbell TC, Traynor A, Leal T, Patel V, Helgager JJ, Lee K, Reeder SB, Kuchnia AJ. Myosteatosis as a Shared Biomarker for Sarcopenia and Cachexia Using MRI and Ultrasound. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:896114. [PMID: 36189019 PMCID: PMC9397668 DOI: 10.3389/fresc.2022.896114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/25/2022] [Indexed: 12/03/2022]
Abstract
Purpose Establish bedside biomarkers of myosteatosis for sarcopenia and cachexia. We compared ultrasound biomarkers against MRI-based percent fat, histology, and CT-based muscle density among healthy adults and adults undergoing treatment for lung cancer. Methods We compared ultrasound and MRI myosteatosis measures among young healthy, older healthy, and older adults with non-small cell lung cancer undergoing systemic treatment, all without significant medical concerns, in a cross-sectional pilot study. We assessed each participant's rectus femoris ultrasound-based echo intensity (EI), shear wave elastography-based shear wave speed, and MRI-based proton density fat-fraction (PDFF). We also assessed BMI, rectus femoris thickness and cross-sectional area. Rectus femoris biopsies were taken for all older adults (n = 20) and we analyzed chest CT scans for older adults undergoing treatment (n = 10). We determined associations between muscle assessments and BMI, and compared these assessments between groups. Results A total of 10 young healthy adults, 10 older healthy adults, and 10 older adults undergoing treatment were recruited. PDFF was lower in young adults than in older healthy adults and older adults undergoing treatment (0.3 vs. 2.8 vs. 2.9%, respectively, p = 0.01). Young adults had significantly lower EI than older healthy adults, but not older adults undergoing treatment (48.6 vs. 81.8 vs. 75.4, p = 0.02). When comparing associations between measures, PDFF was strongly associated with EI (ρ = 0.75, p < 0.01) and moderately negatively associated with shear wave speed (ρ = −0.49, p < 0.01) but not BMI, whole leg cross-sectional area, or rectus femoris cross-sectional area. Among participants with CT scans, paraspinal muscle density was significantly associated with PDFF (ρ = −0.70, p = 0.023). Histological markers of inflammation or degradation did not differ between older adult groups. Conclusion PDFF was sensitive to myosteatosis between young adults and both older adult groups. EI was less sensitive to myosteatosis between groups, yet EI was strongly associated with PDFF unlike BMI, which is typically used in cachexia diagnosis. Our results suggest that ultrasound measures may serve to determine myosteatosis at the bedside and are more useful diagnostically than traditional weight assessments like BMI. These results show promise of using EI, shear wave speed, and PDFF proxies of myosteatosis as diagnostic and therapeutic biomarkers of sarcopenia and cachexia.
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Affiliation(s)
- Jevin Lortie
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, United States
- *Correspondence: Jevin Lortie
| | - Benjamin Rush
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, United States
| | - Katie Osterbauer
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, United States
| | - T. J. Colgan
- Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Daiki Tamada
- Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Sujay Garlapati
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, United States
| | - Toby C. Campbell
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Anne Traynor
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Ticiana Leal
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, United States
| | - Viharkumar Patel
- Department of Pathology, Harvard Medical School, Boston, MA, United States
| | - Jeffrey J. Helgager
- Department of Pathology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Kenneth Lee
- Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Scott B. Reeder
- Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States
| | - Adam J. Kuchnia
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, United States
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Niklasson E, Borga M, Dahlqvist Leinhard O, Widholm P, Andersson DP, Wiik A, Holmberg M, Brismar TB, Gustafsson T, Lundberg TR. Assessment of anterior thigh muscle size and fat infiltration using single-slice CT imaging versus automated MRI analysis in adults. Br J Radiol 2022; 95:20211094. [PMID: 35195445 PMCID: PMC10993966 DOI: 10.1259/bjr.20211094] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 12/06/2021] [Accepted: 01/30/2022] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES We examined the longitudinal and cross-sectional relationship between automated MRI-analysis and single-slice axial CT imaging for determining muscle size and muscle fat infiltration (MFI) of the anterior thigh. METHODS Twenty-two patients completing sex-hormone treatment expected to result in muscle hypertrophy (n = 12) and atrophy (n = 10) underwent MRI scans using 2-point Dixon fat/water-separated sequences and CT scans using a system operating at 120 kV and a fixed flux of 100 mA. At baseline and 12 months after, automated volumetric MRI analysis of the anterior thigh was performed bilaterally, and fat-free muscle volume and MFI were computed. In addition, cross-sectional area (CSA) and radiological attenuation (RA) (as a marker of fat infiltration) were calculated from single slice axial CT-images using threshold-assisted planimetry. Linear regression models were used to convert units. RESULTS There was a strong correlation between MRI-derived fat-free muscle volume and CT-derived CSA (R = 0.91), and between MRI-derived MFI and CT-derived RA (R = -0.81). The 95% limits of agreement were ±0.32 L for muscle volume and ±1.3% units for %MFI. The longitudinal change in muscle size and MFI was comparable across imaging modalities. CONCLUSIONS Both automated MRI and single-slice CT-imaging can be used to reliably quantify anterior thigh muscle size and MFI. ADVANCES IN KNOWLEDGE This is the first study examining the intermodal agreement between automated MRI analysis and CT-image assessment of muscle size and MFI in the anterior thigh muscles. Our results support that both CT- and MRI-derived measures of muscle size and MFI can be used in clinical settings.
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Affiliation(s)
- Erik Niklasson
- Department of Laboratory Medicine, Division of Clinical
Physiology, Karolinska Institutet,
Stockholm, Sweden
| | - Magnus Borga
- Department of Biomedical Engineering, Linköping
University, Linköping,
Sweden
- AMRA Medical AB,
Linköping, Sweden
| | - Olof Dahlqvist Leinhard
- AMRA Medical AB,
Linköping, Sweden
- Department of Health, Medicine and Caring Sciences,
Linköping University,
Linköping, Sweden
| | - Per Widholm
- AMRA Medical AB,
Linköping, Sweden
- Department of Health, Medicine and Caring Sciences,
Linköping University,
Linköping, Sweden
- Department of Radiology, Linköping
University, Linköping,
Sweden
- Center for Medical Image Science and Visualization (CMIV),
Linköping University,
Linköping, Sweden
| | - Daniel P Andersson
- Department of Medicine, Karolinska Institutet, Karolinska
University Hospital Huddinge,
Stockholm, Sweden
| | - Anna Wiik
- Department of Laboratory Medicine, Division of Clinical
Physiology, Karolinska Institutet,
Stockholm, Sweden
- Unit of Clinical Physiology, Karolinska University
Hospital, Stockholm,
Sweden
| | - Mats Holmberg
- Department of Medicine, Karolinska Institutet, Karolinska
University Hospital Huddinge,
Stockholm, Sweden
- ANOVA, Andrology, Sexual Medicine and Transgender Medicine,
Karolinska University Hospital,
Stockholm, Sweden
| | - Torkel B Brismar
- Division of Radiology, Department of Clinical Science,
Intervention and Technology, Karolinska Institutet, Karolinska
University Hospital, Stockholm,
Sweden
| | - Thomas Gustafsson
- Department of Laboratory Medicine, Division of Clinical
Physiology, Karolinska Institutet,
Stockholm, Sweden
- Unit of Clinical Physiology, Karolinska University
Hospital, Stockholm,
Sweden
| | - Tommy R Lundberg
- Department of Laboratory Medicine, Division of Clinical
Physiology, Karolinska Institutet,
Stockholm, Sweden
- Unit of Clinical Physiology, Karolinska University
Hospital, Stockholm,
Sweden
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Influence of Baseline CT Body Composition Parameters on Survival in Patients with Pancreatic Adenocarcinoma. J Clin Med 2022; 11:jcm11092356. [PMID: 35566483 PMCID: PMC9105849 DOI: 10.3390/jcm11092356] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/20/2022] [Accepted: 04/21/2022] [Indexed: 01/06/2023] Open
Abstract
Pancreatic cancer is the seventh leading cause of cancer death in both sexes. The aim of this study is to analyze baseline CT body composition using artificial intelligence to identify possible imaging predictors of survival. We retrospectively included 103 patients. First, the presence of surgical treatment and cut-off values for sarcopenia and obesity served as independent variates. Second, the presence of surgery, subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle index (SMI) served as independent variates. Cox regression analysis was performed for 1-year, 2-year, and 3-year survival. Possible differences between patients undergoing surgical versus nonsurgical treatment were analyzed. Presence of surgery significantly predicted 1-year, 2-year, and 3-year survival (p = 0.01, <0.001, and <0.001, respectively). Across the follow-up periods of 1-year, 2-year, and 3-year survival, the presence of sarcopenia became an equally important predictor of survival (p = 0.25, 0.07, and <0.001, respectively). Additionally, increased VAT predicted 2-year and 3-year survival (p = 0.02 and 0.04, respectively). The impact of sarcopenia on 3-year survival was higher in the surgical treatment group (p = 0.02 and odds ratio = 2.57) compared with the nonsurgical treatment group (p = 0.04 and odds ratio = 1.92). Fittingly, a lower SMI significantly affected 3-year survival only in patients who underwent surgery (p = 0.02). Especially if surgery is performed, AI-derived sarcopenia and reduced muscle mass are unfavorable imaging predictors.
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Sarcopenia in Children with Solid Organ Tumors: An Instrumental Era. Cells 2022; 11:cells11081278. [PMID: 35455957 PMCID: PMC9024674 DOI: 10.3390/cells11081278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/22/2022] [Accepted: 04/05/2022] [Indexed: 11/17/2022] Open
Abstract
Sarcopenia has recently been studied in both adults and children and was found to be a prognostic marker for adverse outcome in a variety of patient groups. Our research showed that sarcopenia is a relevant marker in predicting outcome in children with solid organ tumors, such as hepatoblastoma and neuroblastoma. This was especially true in very ill, high-risk groups. Children with cancer have a higher likelihood of ongoing loss of skeletal muscle mass due to a mismatch in energy intake and expenditure. Additionally, the effects of cancer therapy, hormonal alterations, chronic inflammation, multi-organ dysfunction, and a hypermetabolic state all contribute to a loss of skeletal muscle mass. Sarcopenia seems to be able to pinpoint this waste to a high degree in a new and objective way, making it an additional tool in predicting and improving outcome in children. This article focuses on the current state of sarcopenia in children with solid organ tumors. It details the pathophysiological mechanisms behind sarcopenia, highlighting the technical features of the available methods for measuring muscle mass, strength, and function, including artificial intelligence (AI)-based techniques. It also reviews the latest research on sarcopenia in children, focusing on children with solid organ tumors.
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De Lorenzo R, Palmisano A, Esposito A, Gnasso C, Nicoletti V, Leone R, Vignale D, Falbo E, Ferrante M, Cilla M, Magnaghi C, Martinenghi S, Vitali G, Molfino A, Rovere-Querini P, Muscaritoli M, Conte C. Myosteatosis Significantly Predicts Persistent Dyspnea and Mobility Problems in COVID-19 Survivors. Front Nutr 2022; 9:846901. [PMID: 35464004 PMCID: PMC9024358 DOI: 10.3389/fnut.2022.846901] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/10/2022] [Indexed: 11/22/2022] Open
Abstract
Background Persistent symptoms including dyspnea and functional impairment are common in COVID-19 survivors. Poor muscle quality (myosteatosis) associates with poor short-term outcomes in COVID-19 patients. The aim of this observational study was to assess the relationship between myosteatosis diagnosed during acute COVID-19 and patient-reported outcomes at 6 months after discharge. Methods Myosteatosis was diagnosed based on CT-derived skeletal muscle radiation attenuation (SM-RA) measured during hospitalization in 97 COVID-19 survivors who had available anthropometric and clinical data upon admission and at the 6-month follow-up after discharge. Dyspnea in daily activities was assessed using the modified Medical Research Council (mMRC) scale for dyspnea. Health-related quality of life was measured using the European quality of life questionnaire three-level version (EQ-5D-3L). Results Characteristics of patients with (lowest sex- and age-specific tertile of SM-RA) or without myosteatosis during acute COVID-19 were similar. At 6 months, patients with myosteatosis had greater rates of obesity (48.4 vs. 27.7%, p = 0.046), abdominal obesity (80.0 vs. 47.6%, p = 0.003), dyspnea (32.3 vs. 12.5%, p = 0.021) and mobility problems (32.3 vs. 12.5%, p = 0.004). Myosteatosis diagnosed during acute COVID-19 was the only significant predictor of persistent dyspnea (OR 3.19 [95% C.I. 1.04; 9.87], p = 0.043) and mobility problems (OR 3.70 [95% C.I. 1.25; 10.95], p = 0.018) at 6 months at logistic regression adjusted for sex, age, and BMI. Conclusion Myosteatosis diagnosed during acute COVID-19 significantly predicts persistent dyspnea and mobility problems at 6 months after hospital discharge independent of age, sex, and body mass. Clinical Trial Registration [www.ClinicalTrials.gov], identifier [NCT04318366].
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Affiliation(s)
- Rebecca De Lorenzo
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Anna Palmisano
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Antonio Esposito
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Chiara Gnasso
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Valeria Nicoletti
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Riccardo Leone
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Davide Vignale
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisabetta Falbo
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Marica Ferrante
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Marta Cilla
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cristiano Magnaghi
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sabina Martinenghi
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giordano Vitali
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessio Molfino
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Patrizia Rovere-Querini
- Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Maurizio Muscaritoli
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Caterina Conte
- Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy
- Department of Endocrinology, Nutrition and Metabolic Diseases, IRCCS MultiMedica, Milan, Italy
- *Correspondence: Caterina Conte,
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Associations of Computed Tomography Image-Assessed Adiposity and Skeletal Muscles with Triple-Negative Breast Cancer. Cancers (Basel) 2022; 14:cancers14071846. [PMID: 35406618 PMCID: PMC8997963 DOI: 10.3390/cancers14071846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/29/2022] [Accepted: 04/01/2022] [Indexed: 01/22/2023] Open
Abstract
Obesity measured by anthropometrics is associated with increased risk of triple-negative breast cancer (TNBC). It is unclear to what extent specific adipose tissue components, aside from muscle, are associated with TNBC. This retrospective study included 350 breast cancer patients who received treatment between October 2011 and April 2020 with archived abdominal or pelvic computed tomography (CT) images. We measured the areas of adipose tissue and five-density levels of skeletal muscle on patients' third lumbar vertebra (L3) image. Logistic regression was performed to examine the associations of specific adiposity and skeletal muscles components and a four-category body composition phenotype with the TNBC subtype. Results showed that higher vs. lower areas (3rd vs. 1st tertiles) of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were associated with increased odds of TNBC vs. non-TNBC after adjusting for age, race, stage, tumor grade, tumor size, and skeletal muscle areas (adjusted odds ratio [AOR], 11.25 [95% CI = 3.46-36.52]) and (AOR, 10.34 [95% CI = 2.90-36.90]) respectively. Higher areas of low density muscle was also associated with increased odds of TNBC (AOR, 3.15 [95% CI = 1.05-10.98]). Compared to normal body composition (low adipose tissue/high muscle), high adiposity/high muscle was associated with higher odds of TNBC (AOR, 5.54 [95% CI = 2.12-14.7]). These associations were mainly in premenopausal women and among patients with the CT performed after breast cancer surgery. Specific adipose tissue and low-density muscle can be associated with the TNBC subtype in breast cancer patients. The direction of association warrants confirmation by prospective studies.
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Schick F. Automatic segmentation and volumetric assessment of internal organs and fatty tissue: what are the benefits? MAGNETIC RESONANCE MATERIALS IN PHYSICS, BIOLOGY AND MEDICINE 2022; 35:187-192. [PMID: 34919193 PMCID: PMC8995273 DOI: 10.1007/s10334-021-00986-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 12/03/2021] [Accepted: 12/05/2021] [Indexed: 02/07/2023]
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Luengpradidgun L, Chamroonkul N, Sripongpun P, Kaewdech A, Tanutit P, Ina N, Piratvisuth T. Utility of handgrip strength (HGS) and bioelectrical impedance analysis (BIA) in the diagnosis of sarcopenia in cirrhotic patients. BMC Gastroenterol 2022; 22:159. [PMID: 35354434 PMCID: PMC8969388 DOI: 10.1186/s12876-022-02236-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 03/24/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Sarcopenia is associated with disability, mortality, and poorer survival in cirrhotic patients. For the evaluation of muscle volume, computed tomography (CT) is the most accurate tool. Unfortunately, it would be hard to apply a muscle mass measuring CT to daily practice. This research aims to study the utility of handgrip strength (HGS) and bioelectrical impedance analysis (BIA) to detect sarcopenia in cirrhotic patients compared with CT as the reference. METHODS In cirrhotic patients who met inclusions criteria (age 20-70 years, ascites < grade 2 of International Ascites Club grading system, no active malignancy, and no cardiac implanted device), HGS were measured using a Jamar dynamometer. Subsequently, patients with low muscle strength (defined as JSH criteria, < 26 kg in male, < 18 kg in female) were then underwent CT and BIA (Tanita MC780 MA) on the same day to measure muscle volume, the definition of sarcopenia by CT was according to the Japan Society of Hepatology (JSH). We also collected data from patients with normal HGS whose CT results were available in the study period. RESULTS From 146 cirrhotic patients who underwent HGS, 30 patients (20.5%) had diagnosed low HSG. Data from 50 patients whose available CT results included 30 low HGS and 20 patients with normal HSG. The HGS was strongly correlated with skeleton muscle index (SMI) by CT (r = 0.81, p < 0.001) and had an excellent diagnostic performance for detecting sarcopenia by using JSH criteria the sensitivity, specificity, NPV and PPV were 88.2%, 100%, 100%, and 98.7% respectively. In contrast, only 6 of 30 patients (20%) met sarcopenic criteria by BIA. Among sarcopenic patients, the result showed a fair correlation between SMI and BIA (r = 0.54; p < 0.002). CONCLUSION Our study demonstrated an excellent correlation between HGS and SMI by CT in the mixed cirrhotic population from the sarcopenia and non-sarcopenia groups. The HGS using the JSH criteria showed an excellent performance in detecting sarcopenia compared to CT. Nonetheless, for the BIA by using the current cut-offs demonstrated unacceptable rate to detect sarcopenia.
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Affiliation(s)
- Lalida Luengpradidgun
- grid.7130.50000 0004 0470 1162Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, 90110 Thailand
| | - Naichaya Chamroonkul
- grid.7130.50000 0004 0470 1162Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, 90110 Thailand
| | - Pimsiri Sripongpun
- grid.7130.50000 0004 0470 1162Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, 90110 Thailand
| | - Apichat Kaewdech
- grid.7130.50000 0004 0470 1162Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, 90110 Thailand
| | - Pramot Tanutit
- grid.7130.50000 0004 0470 1162Division of Radiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, 90110 Thailand
| | - Natee Ina
- grid.7130.50000 0004 0470 1162Division of Radiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, 90110 Thailand
| | - Teerha Piratvisuth
- grid.7130.50000 0004 0470 1162Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, 90110 Thailand
- grid.7130.50000 0004 0470 1162NKC Institute of Gastroenterology and Hepatology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
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Trueb P, Getzmann JM, Ried E, Deininger-Czermak E, Garcia Schueler HI, Guggenberger R. Comparison of Muscle Fat Fraction Measurements in the Lower Spine Musculature with Non-Contrast-Enhanced CT and Different MR Imaging Sequences. Eur J Radiol 2022; 150:110260. [DOI: 10.1016/j.ejrad.2022.110260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 03/09/2022] [Accepted: 03/11/2022] [Indexed: 11/26/2022]
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Yoo JI, Kim JT, Park CH, Cha Y. Diagnosis and Management of Sarcopenia after Hip Fracture Surgery: Current Concept Review. Hip Pelvis 2022; 34:1-9. [PMID: 35355632 PMCID: PMC8931950 DOI: 10.5371/hp.2022.34.1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/08/2021] [Accepted: 10/09/2021] [Indexed: 11/24/2022] Open
Abstract
To date, family medicine and internal medicine fields have been responsible for defining, researching, and development of treatments for sarcopenia, focusing mainly on diabetes and metabolic diseases. Therefore, application of current guidelines for diagnosis of sarcopenia which differ according to continent to patients with hip fractures in the orthopedic field is difficult. The purpose of this review was to understand the recent consensus on the definition and diagnosis of sarcopenia and to highlight the importance of research and future research opportunities on the management of sarcopenia in patients with hip fractures by orthopedic surgeons. The global prevalence of sarcopenia in patients with hip fractures is statistically significant. Despite establishment of various therapeutic and diagnostic criteria for osteoporosis in the clinical field, there are no clear, useful diagnostic criteria for sarcopenia in the clinical field. In particular, few studies on the evaluation and treatment of sarcopenia in patients with hip fractures have been reported. In addition, the quality of life of postoperative patients with hip fractures could be significantly improved by development of precise assessment for muscle regeneration and rehabilitation in the operating room.
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Affiliation(s)
- Jun-Il Yoo
- Department of Orthopaedic Surgery, Gyeongsang National University Hospital, Jinju, Korea
| | - Jung-Taek Kim
- Department of Orthopedic Surgery, Ajou Medical Center, Ajou University School of Medicine, Suwon, Korea
| | - Chan Ho Park
- Department of Orthopedic Surgery, Yeungnam University Medical Center, Daegu, Korea
| | - Yonghan Cha
- Department of Orthopaedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea
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Beetz NL, Geisel D, Shnayien S, Auer TA, Globke B, Öllinger R, Trippel TD, Schachtner T, Fehrenbach U. Effects of Artificial Intelligence-Derived Body Composition on Kidney Graft and Patient Survival in the Eurotransplant Senior Program. Biomedicines 2022; 10:biomedicines10030554. [PMID: 35327356 PMCID: PMC8945723 DOI: 10.3390/biomedicines10030554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/21/2022] [Accepted: 02/24/2022] [Indexed: 11/16/2022] Open
Abstract
The Eurotransplant Senior Program allocates kidneys to elderly transplant patients. The aim of this retrospective study is to investigate the use of computed tomography (CT) body composition using artificial intelligence (AI)-based tissue segmentation to predict patient and kidney transplant survival. Body composition at the third lumbar vertebra level was analyzed in 42 kidney transplant recipients. Cox regression analysis of 1-year, 3-year and 5-year patient survival, 1-year, 3-year and 5-year censored kidney transplant survival, and 1-year, 3-year and 5-year uncensored kidney transplant survival was performed. First, the body mass index (BMI), psoas muscle index (PMI), skeletal muscle index (SMI), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) served as independent variates. Second, the cut-off values for sarcopenia and obesity served as independent variates. The 1-year uncensored and censored kidney transplant survival was influenced by reduced PMI (p = 0.02 and p = 0.03, respectively) and reduced SMI (p = 0.01 and p = 0.03, respectively); 3-year uncensored kidney transplant survival was influenced by increased VAT (p = 0.04); and 3-year censored kidney transplant survival was influenced by reduced SMI (p = 0.05). Additionally, sarcopenia influenced 1-year uncensored kidney transplant survival (p = 0.05), whereas obesity influenced 3-year and 5-year uncensored kidney transplant survival. In summary, AI-based body composition analysis may aid in predicting short- and long-term kidney transplant survival.
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Affiliation(s)
- Nick Lasse Beetz
- Department of Radiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (D.G.); (S.S.); (T.A.A.); (U.F.)
- DZHK (German Center for Cardiovascular Research), 10785 Berlin, Germany;
- Correspondence: ; Tel.: +49-30-45-065-7278
| | - Dominik Geisel
- Department of Radiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (D.G.); (S.S.); (T.A.A.); (U.F.)
| | - Seyd Shnayien
- Department of Radiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (D.G.); (S.S.); (T.A.A.); (U.F.)
| | - Timo Alexander Auer
- Department of Radiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (D.G.); (S.S.); (T.A.A.); (U.F.)
- Berlin Institute of Health, 10178 Berlin, Germany;
| | - Brigitta Globke
- Berlin Institute of Health, 10178 Berlin, Germany;
- Department of Surgery, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany;
| | - Robert Öllinger
- Department of Surgery, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany;
| | - Tobias Daniel Trippel
- DZHK (German Center for Cardiovascular Research), 10785 Berlin, Germany;
- Department of Internal Medicine—Cardiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Thomas Schachtner
- Division of Nephrology, University Hospital Zurich, 8091 Zürich, Switzerland;
| | - Uli Fehrenbach
- Department of Radiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (D.G.); (S.S.); (T.A.A.); (U.F.)
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Marquardt JP, Roeland EJ, Van Seventer EE, Best TD, Horick NK, Nipp RD, Fintelmann FJ. Percentile-based averaging and skeletal muscle gauge improve body composition analysis: validation at multiple vertebral levels. J Cachexia Sarcopenia Muscle 2022; 13:190-202. [PMID: 34729952 PMCID: PMC8818648 DOI: 10.1002/jcsm.12848] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 09/27/2021] [Accepted: 10/05/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Skeletal muscle metrics on computed tomography (CT) correlate with clinical and patient-reported outcomes. We hypothesize that aggregating skeletal muscle measurements from multiple vertebral levels and skeletal muscle gauge (SMG) better predict outcomes than skeletal muscle radioattenuation (SMRA) or -index (SMI) at a single vertebral level. METHODS We performed a secondary analysis of prospectively collected clinical (overall survival, hospital readmission, time to unplanned hospital readmission or death, and readmission or death within 90 days) and patient-reported outcomes (physical and psychological symptom burden captured as Edmonton Symptom Assessment Scale and Patient Health Questionnaire) of patients with advanced cancer who experienced an unplanned admission to Massachusetts General Hospital from 2014 to 2016. First, we assessed the correlation of skeletal muscle cross-sectional area, SMRA, SMI, and SMG at one or more of the following thoracic (T) or lumbar (L) vertebral levels: T5, T8, T10, and L3 on CT scans obtained ≤50 days before index assessment. Second, we aggregated measurements across all available vertebral levels using percentile-based averaging (PBA) to create the average percentile. Third, we constructed one regression model adjusted for age, sex, sociodemographic factors, cancer type, body mass index, and intravenous contrast for each combination of (i) vertebral level and average percentile, (ii) muscle metrics (SMRA, SMI, & SMG), and (iii) clinical and patient-reported outcomes. Fourth, we compared the performance of vertebral levels and muscle metrics by ranking otherwise identical models by concordance statistic, number of included patients, coefficient of determination, and significance of muscle metric. RESULTS We included 846 patients (mean age: 63.5 ± 12.9 years, 50.5% males) with advanced cancer [predominantly gastrointestinal (32.9%) or lung (18.9%)]. The correlation of muscle measurements between vertebral levels ranged from 0.71 to 0.84 for SMRA and 0.67 to 0.81 for SMI. The correlation of individual levels with the average percentile was 0.90-0.93 for SMRA and 0.86-0.92 for SMI. The intrapatient correlation of SMRA with SMI was 0.21-0.40. PBA allowed for inclusion of 8-47% more patients than any single-level analysis. PBA outperformed single-level analyses across all comparisons with average ranks 2.6, 2.9, and 1.6 for concordance statistic, coefficient of determination, and significance (range 1-5, μ = 3), respectively. On average, SMG outperformed SMRA and SMI across outcomes and vertebral levels: the average rank of SMG was 1.4, 1.4, and 1.4 for concordance statistic, coefficient of determination, and significance (range 1-3, μ = 2), respectively. CONCLUSIONS Multivertebral level skeletal muscle analyses using PBA and SMG independently and additively outperform analyses using individual levels and SMRA or SMI.
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Affiliation(s)
- J Peter Marquardt
- Department of Radiology, RWTH Aachen University, Aachen, Germany.,Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA
| | - Eric J Roeland
- Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA
| | - Emily E Van Seventer
- Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA, USA
| | - Till D Best
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.,Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Radiology, Berlin, Germany
| | - Nora K Horick
- Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA, USA
| | - Ryan D Nipp
- Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA, USA
| | - Florian J Fintelmann
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA
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Fox R, Stenning K, Slee A, Macnaughtan J, Davies N. Sarcopenia in liver cirrhosis: Prevalence, pathophysiology and therapeutic strategies. Anal Biochem 2022; 647:114581. [DOI: 10.1016/j.ab.2022.114581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 01/31/2022] [Indexed: 11/01/2022]
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Lee J, Lin JB, Chen TC, Jan YT, Sun FJ, Chen YJ, Wu MH. Progressive Skeletal Muscle Loss After Surgery and Adjuvant Radiotherapy Impact Survival Outcomes in Patients With Early Stage Cervical Cancer. Front Nutr 2022; 8:773506. [PMID: 35127782 PMCID: PMC8810512 DOI: 10.3389/fnut.2021.773506] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 12/06/2021] [Indexed: 12/23/2022] Open
Abstract
The effect of skeletal muscle loss associated with surgery and adjuvant radiotherapy on survival outcomes in patients with early-stage cervical cancer remains unclear. We analyzed the data of 133 patients with early-stage cervical cancer who underwent surgery and adjuvant radiotherapy between 2013 and 2018 at two tertiary centers. Skeletal muscle changes were measured using computed tomography scans at baseline, at simulation for radiotherapy, and at 3 months post-treatment. A decrease of ≥5% in the skeletal muscle was defined as “muscle loss.” The Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) was used to assess gastrointestinal toxicity. The Patient-Generated Subjective Global Assessment (PG-SGA) was used for nutritional assessment. Predictors of overall survival were identified using the Cox regression models. The median follow-up period was 3.7 years. After treatment, 32 patients (24.1%) experienced muscle loss. The rate of muscle loss was higher in patients with PRO-CTCAE score ≥3 or PG-SGA score ≥4 at the end of radiotherapy than in patients with PRO-CTCAE score ≤2 or PG-SGA score 0–3 (75.0 vs. 10.5%, p < 0.001; 71.4 vs. 2.2%, p < 0.001). The 3-year overall survival was significantly lower in patients with muscle loss than in those with muscle preserved (65.6 vs. 93.9%, p < 0.001). Multivariate analysis showed that muscle loss was independently associated with poor overall survival (hazard ratio, 4.55; 95% confidence interval: 1.63–12.72; p < 0.001). Muscle loss after surgery and adjuvant radiotherapy was associated with poor overall survival in patients with early-stage cervical cancer. Muscle loss is associated with patient-reported gastrointestinal toxicity and deterioration in nutritional status.
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Affiliation(s)
- Jie Lee
- Department of Radiation Oncology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- *Correspondence: Jie Lee
| | - Jhen-Bin Lin
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua, Taiwan
| | - Tze-Chien Chen
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Ya-Ting Jan
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Fang-Ju Sun
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
- Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yu-Jen Chen
- Department of Radiation Oncology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Meng-Hao Wu
- Department of Radiation Oncology, MacKay Memorial Hospital, Taipei, Taiwan
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Tolonen A, Pakarinen T, Sassi A, Kyttä J, Cancino W, Rinta-Kiikka I, Pertuz S, Arponen O. Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review. Eur J Radiol 2021; 145:109943. [PMID: 34839215 DOI: 10.1016/j.ejrad.2021.109943] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 08/06/2021] [Accepted: 08/24/2021] [Indexed: 02/06/2023]
Abstract
PURPOSE OF THE REVIEW We aim to review the methods, current research evidence, and future directions in body composition analysis (BCA) with CT imaging. RECENT FINDINGS CT images can be used to evaluate muscle tissue, visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) compartments. Manual and semiautomatic segmentation methods are still the gold standards. The segmentation of skeletal muscle tissue and VAT and SAT compartments is most often performed at the level of the 3rd lumbar vertebra. A decreased amount of CT-determined skeletal muscle mass is a marker of impaired survival in many patient populations, including patients with most types of cancer, some surgical patients, and those admitted to the intensive care unit (ICU). Patients with increased VAT are more susceptible to impaired survival / worse outcomes; however, those patients who are critically ill or admitted to the ICU or who will undergo surgery appear to be exceptions. The independent significance of SAT is less well established. Recently, the roles of the CT-determined decrease of muscle mass and increased VAT area and epicardial adipose tissue (EAT) volume have been shown to predict a more debilitating course of illness in patients suffering from severe acute respiratory syndrome coronavirus 2 (COVID-19) infection. SUMMARY The field of CT-based body composition analysis is rapidly evolving and shows great potential for clinical implementation.
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Affiliation(s)
- Antti Tolonen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland.
| | - Tomppa Pakarinen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Antti Sassi
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Jere Kyttä
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland
| | - William Cancino
- Connectivity and Signal Processing Group, Universidad Industrial de Santander, Cl. 9 #Cra 27, Bucaramanga, Colombia
| | - Irina Rinta-Kiikka
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Said Pertuz
- Connectivity and Signal Processing Group, Universidad Industrial de Santander, Cl. 9 #Cra 27, Bucaramanga, Colombia
| | - Otso Arponen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
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Beetz NL, Maier C, Segger L, Shnayien S, Trippel TD, Lindow N, Bousabarah K, Westerhoff M, Fehrenbach U, Geisel D. First PACS‐integrated artificial intelligence‐based software tool for rapid and fully automatic analysis of body composition from CT in clinical routine. JCSM CLINICAL REPORTS 2021. [DOI: 10.1002/crt2.44] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Affiliation(s)
- Nick Lasse Beetz
- Department of Radiology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin Berlin Germany
| | - Christoph Maier
- Department of Radiology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany
| | - Laura Segger
- Department of Radiology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany
| | - Seyd Shnayien
- Department of Radiology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany
| | - Tobias Daniel Trippel
- DZHK (German Centre for Cardiovascular Research), partner site Berlin Berlin Germany
- Department of Internal Medicine – Cardiology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany
| | | | | | | | - Uli Fehrenbach
- Department of Radiology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany
| | - Dominik Geisel
- Department of Radiology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany
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Nowak S, Theis M, Wichtmann BD, Faron A, Froelich MF, Tollens F, Geißler HL, Block W, Luetkens JA, Attenberger UI, Sprinkart AM. End-to-end automated body composition analyses with integrated quality control for opportunistic assessment of sarcopenia in CT. Eur Radiol 2021; 32:3142-3151. [PMID: 34595539 PMCID: PMC9038788 DOI: 10.1007/s00330-021-08313-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 08/06/2021] [Accepted: 08/31/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVES To develop a pipeline for automated body composition analysis and skeletal muscle assessment with integrated quality control for large-scale application in opportunistic imaging. METHODS First, a convolutional neural network for extraction of a single slice at the L3/L4 lumbar level was developed on CT scans of 240 patients applying the nnU-Net framework. Second, a 2D competitive dense fully convolutional U-Net for segmentation of visceral and subcutaneous adipose tissue (VAT, SAT), skeletal muscle (SM), and subsequent determination of fatty muscle fraction (FMF) was developed on single CT slices of 1143 patients. For both steps, automated quality control was integrated by a logistic regression model classifying the presence of L3/L4 and a linear regression model predicting the segmentation quality in terms of Dice score. To evaluate the performance of the entire pipeline end-to-end, body composition metrics, and FMF were compared to manual analyses including 364 patients from two centers. RESULTS Excellent results were observed for slice extraction (z-deviation = 2.46 ± 6.20 mm) and segmentation (Dice score for SM = 0.95 ± 0.04, VAT = 0.98 ± 0.02, SAT = 0.97 ± 0.04) on the dual-center test set excluding cases with artifacts due to metallic implants. No data were excluded for end-to-end performance analyses. With a restrictive setting of the integrated segmentation quality control, 39 of 364 patients were excluded containing 8 cases with metallic implants. This setting ensured a high agreement between manual and fully automated analyses with mean relative area deviations of ΔSM = 3.3 ± 4.1%, ΔVAT = 3.0 ± 4.7%, ΔSAT = 2.7 ± 4.3%, and ΔFMF = 4.3 ± 4.4%. CONCLUSIONS This study presents an end-to-end automated deep learning pipeline for large-scale opportunistic assessment of body composition metrics and sarcopenia biomarkers in clinical routine. KEY POINTS • Body composition metrics and skeletal muscle quality can be opportunistically determined from routine abdominal CT scans. • A pipeline consisting of two convolutional neural networks allows an end-to-end automated analysis. • Machine-learning-based quality control ensures high agreement between manual and automatic analysis.
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Affiliation(s)
- Sebastian Nowak
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Maike Theis
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Barbara D Wichtmann
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Matthias F Froelich
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Fabian Tollens
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Helena L Geißler
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Department of Radiotherapy and Radiation Oncology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alois M Sprinkart
- Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
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Han J, Harrison L, Patzelt L, Wu M, Junker D, Herzig S, Berriel Diaz M, Karampinos DC. Imaging modalities for diagnosis and monitoring of cancer cachexia. EJNMMI Res 2021; 11:94. [PMID: 34557972 PMCID: PMC8460705 DOI: 10.1186/s13550-021-00834-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 09/06/2021] [Indexed: 12/23/2022] Open
Abstract
Cachexia, a multifactorial wasting syndrome, is highly prevalent among advanced-stage cancer patients. Unlike weight loss in healthy humans, the progressive loss of body weight in cancer cachexia primarily implicates lean body mass, caused by an aberrant metabolism and systemic inflammation. This may lead to disease aggravation, poorer quality of life, and increased mortality. Timely detection is, therefore, crucial, as is the careful monitoring of cancer progression, in an effort to improve management, facilitate individual treatment and minimize disease complications. A detailed analysis of body composition and tissue changes using imaging modalities—that is, computed tomography, magnetic resonance imaging, (18F) fluoro-2-deoxy-d-glucose (18FDG) PET and dual-energy X-ray absorptiometry—shows great premise for charting the course of cachexia. Quantitative and qualitative changes to adipose tissue, organs, and muscle compartments, particularly of the trunk and extremities, could present important biomarkers for phenotyping cachexia and determining its onset in patients. In this review, we present and compare the imaging techniques that have been used in the setting of cancer cachexia. Their individual limitations, drawbacks in the face of clinical routine care, and relevance in oncology are also discussed.
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Affiliation(s)
- Jessie Han
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, TUM School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
| | - Luke Harrison
- Institute for Diabetes and Cancer, Helmholtz Center Munich, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Lisa Patzelt
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, TUM School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Mingming Wu
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, TUM School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Daniela Junker
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, TUM School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Stephan Herzig
- Institute for Diabetes and Cancer, Helmholtz Center Munich, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.,Joint Heidelberg-IDC Translational Diabetes Program, Inner Medicine 1, Heidelberg University Hospital, Heidelberg, Germany.,Chair of Molecular Metabolic Control, Technical University of Munich, Munich, Germany
| | - Mauricio Berriel Diaz
- Institute for Diabetes and Cancer, Helmholtz Center Munich, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, TUM School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
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Chiang PK, Tsai WK, Chiu AWH, Lin JB, Yang FY, Lee J. Muscle Loss During Androgen Deprivation Therapy Is Associated With Higher Risk of Non-Cancer Mortality in High-Risk Prostate Cancer. Front Oncol 2021; 11:722652. [PMID: 34604058 PMCID: PMC8485032 DOI: 10.3389/fonc.2021.722652] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/24/2021] [Indexed: 12/14/2022] Open
Abstract
The changes in body composition are early adverse effects of androgen deprivation therapy (ADT); however, their prognostic impact remains unclear in prostate cancer. This study aimed to evaluate the association between body composition changes and survival in patients with high-risk prostate cancer. We measured the skeletal muscle index (SMI) and total adipose tissue index (TATI) at the L3 vertebral level using computed tomography at baseline and within one year after initiating ADT in 125 patients with high-risk prostate cancer treated with radiotherapy and ADT between 2008 and 2018. Non-cancer mortality predictors were identified using Cox regression models. The median follow-up was 49 months. Patients experienced an average SMI loss of 5.5% over 180 days (95% confidence interval: -7.0 to -4.0; p<0.001) and TATI gain of 12.6% over 180 days (95% confidence interval: 9.0 to 16.2; p<0.001). Body mass index changes were highly and weakly correlated with changes in TATI and SMI, respectively (Spearman ρ for TATI, 0.78, p<0.001; ρ for SMI, 0.27, p=0.003). As a continuous variable, each 1% decrease in SMI was independently associated with a 9% increase in the risk of non-cancer mortality (hazard ratio: 1.09; p=0.007). Moreover, the risk of non-cancer mortality increased 5.6-fold in patients with SMI loss ≥5% compared to those with unchanged SMI (hazard ratio: 5.60; p=0.03). Body mass index and TATI were not associated with non-cancer mortality. Muscle loss during ADT is occult, independent of weight change, and independently associated with increased non-cancer mortality in patients with high-risk prostate cancer.
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Affiliation(s)
- Pai-Kai Chiang
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Urology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing, and Management, Taipei, Taiwan
| | - Wei-Kung Tsai
- Department of Urology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing, and Management, Taipei, Taiwan
- PhD Program in Nutrition and Food Science, Graduate Institute of Biomedical and Pharmaceutical Science, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Allen Wen-Hsiang Chiu
- Department of Urology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
| | - Jhen-Bin Lin
- Department of Radiation Oncology, Changhua Christian Hospital, Changhua, Taiwan
| | - Feng-Yi Yang
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Biophotonics and Molecular Imaging Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jie Lee
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- Department of Radiation Oncology, MacKay Memorial Hospital, Taipei, Taiwan
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50
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Ritz A, Froeba-Pohl A, Kolorz J, Vigodski V, Hubertus J, Ley-Zaporozhan J, von Schweinitz D, Häberle B, Schmid I, Kappler R, Lurz E, Berger M. Total Psoas Muscle Area as a Marker for Sarcopenia Is Related to Outcome in Children With Neuroblastoma. Front Surg 2021; 8:718184. [PMID: 34490339 PMCID: PMC8418308 DOI: 10.3389/fsurg.2021.718184] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 07/22/2021] [Indexed: 01/07/2023] Open
Abstract
Background: Sarcopenia describes a generalized loss of skeletal muscle mass, strength, or function. Determined by measuring the total psoas muscle area (tPMA) on cross-sectional imaging, sarcopenia is an independent marker for poor post-surgical outcomes in adults and children. Children with cancer are at high risk for sarcopenia due to immobility, chemotherapy, and cachexia. We hypothesize that sarcopenic children with neuroblastoma are at higher risk for poor post-operative outcomes. Patients and Methods: Retrospective analysis of children with neuroblastoma ages 1-15 years who were treated at our hospital from 2008 to 2016 with follow-up through March 2021. Psoas muscle area (PMA) was measured from cross-sectional images, using computed tomography (CT) and magnetic resonance imaging (MRI) scans at lumbar disc levels L3-4 and L4-5. tPMA is the sum of the left and right PMA. Z-scores were calculated using age- and gender-specific reference values. Sarcopenia was defined as a tPMA z-score below -2. A correlation of tPMA z-scores and sarcopenia with clinical variables and outcome was performed. Results: One hundred and sixty-four children with workup for neuroblastoma were identified, and 101 children fulfilled inclusion criteria for further analysis, with a mean age of 3.92 years (SD 2.71 years). Mean tPMA z-score at L4-5 was -2.37 (SD 1.02). Correlation of tPMA z-score at L4-5 with weight-for-age z-score was moderate (r = 0.54; 95% CI, 0.38, 0.66). No association between sarcopenia and short-term outcome was observed. Sarcopenia had a sensitivity of 0.82 (95% CI, 0.62-0.93) and a specificity of 0.48 (95% CI 0.36-0.61) in predicting 5-year survival. In a multiple regression analysis, pre-operative sarcopenia, pre-operative chemotherapy in the NB2004 high-risk group, unfavorable tumor histology, and age at diagnosis were associated with 5-year survival after surgery, with hazard ratios of 4.18 (95% CI 1.01-17.26), 2.46 (95% CI 1.02-5.92), 2.39 (95% CI 1.03-5.54), and 1.01 (95% CI 1.00-1.03), respectively. Conclusion: In this study, the majority of children had low tPMA z-scores and sarcopenia was a risk factor for decreased 5-year survival in children with neuroblastoma. Therefore, we suggest measuring the tPMA from pre-surgical cross-sectional imaging as a biomarker for additional risk stratification in children with neuroblastoma.
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Affiliation(s)
- Annika Ritz
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Alexandra Froeba-Pohl
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Julian Kolorz
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Victor Vigodski
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Jochen Hubertus
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Julia Ley-Zaporozhan
- Department of Radiology, Pediatric Radiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Dietrich von Schweinitz
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Beate Häberle
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Irene Schmid
- Department of Pediatrics, Division of Hematology and Oncology, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Roland Kappler
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Eberhard Lurz
- Department of Pediatrics, Division of Gastroenterology and Hepatology, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Michael Berger
- Department of Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
- Department of General, Abdominal, and Transplant Surgery, Essen University Hospital, Essen, Germany
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