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Wakefield CJ, Baucom M, Sisak S, Seder CW, Janowak CF. Pectoralis Muscle Index as Predictor of Outcomes in Patients With Severe Blunt Chest Wall Injury. J Surg Res 2024; 300:247-252. [PMID: 38824855 DOI: 10.1016/j.jss.2024.04.013] [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: 12/30/2023] [Revised: 03/01/2024] [Accepted: 04/17/2024] [Indexed: 06/04/2024]
Abstract
INTRODUCTION Sarcopenia has been shown to portend worse outcomes in injured patients; however, little is known about the impact of thoracic muscle wasting on outcomes of patients with chest wall injury. We hypothesized that reduced pectoralis muscle mass is associated with poor outcomes in patients with severe blunt chest wall injury. METHODS All patients admitted to the intensive care unit between 2014 and 2019 with blunt chest wall injury requiring mechanical ventilation were retrospectively identified. Blunt chest wall injury was defined as the presence of one or more rib fractures as a result of blunt injury mechanism. Exclusion criteria included lack of admission computed tomography imaging, penetrating trauma, <18 y of age, and primary neurologic injury. Thoracic musculature was assessed by measuring pectoralis muscle cross-sectional area (cm2) that was obtained at the fourth thoracic vertebral level using Slice-O-Matic software. The area was then divided by the patient height in meters2 to calculate pectoralis muscle index (PMI) (cm2/m2). Patients were divided into two groups, 1) the lowest gender-specific quartile of PMI and 2) second-fourth gender-specific PMI quartiles for comparative analysis. RESULTS One hundred fifty-three patients met the inclusion criteria with a median (interquartile range) age 48 y (34-60), body mass index of 30.1 kg/m2 (24.9-34.6), and rib score of 3.0 (2.0-4.0). Seventy-five percent of patients (116/153) were male. Fourteen patients (8%) had prior history of chronic lung disease. Median (IQR) intensive care unit length-of-stay and duration of mechanical ventilation (MV) was 18.0 d (13.0-25.0) and 15.0 d (10.0-21.0), respectively. Seventy-three patients (48%) underwent tracheostomy and nine patients (6%) expired during hospitalization. On multivariate linear regression, reduced pectoralis muscle mass was associated with increased MV duration when adjusting for rib score and injury severity score (β 5.98, 95% confidence interval 1.28-10.68, P = 0.013). CONCLUSIONS Reduced pectoralis muscle mass is associated with increased duration of MV in patients with severe blunt chest wall injury. Knowledge of this can help guide future research and risk stratification of critically ill chest wall injury patients.
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Affiliation(s)
- Connor J Wakefield
- Brooke Army Medical Center, Department of Internal Medicine, Fort Sam Houston, Texas.
| | - Matthew Baucom
- University of Cincinnati Medical Center, Department of Trauma Surgery, Cincinnati, Ohio
| | - Stephanie Sisak
- University of Cincinnati Medical Center, Department of Trauma Surgery, Cincinnati, Ohio
| | - Christopher W Seder
- Rush University Medical Center, Department of Cardiovascular and Thoracic Surgery, Chicago, Illinois
| | - Christopher F Janowak
- University of Cincinnati Medical Center, Department of Trauma Surgery, Cincinnati, Ohio
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2
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Xu K, Li T, Khan MS, Gao R, Antic SL, Huo Y, Sandler KL, Maldonado F, Landman BA. Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective. Med Image Anal 2023; 88:102852. [PMID: 37276799 PMCID: PMC10527087 DOI: 10.1016/j.media.2023.102852] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 01/30/2023] [Accepted: 05/23/2023] [Indexed: 06/07/2023]
Abstract
Field-of-view (FOV) tissue truncation beyond the lungs is common in routine lung screening computed tomography (CT). This poses limitations for opportunistic CT-based body composition (BC) assessment as key anatomical structures are missing. Traditionally, extending the FOV of CT is considered as a CT reconstruction problem using limited data. However, this approach relies on the projection domain data which might not be available in application. In this work, we formulate the problem from the semantic image extension perspective which only requires image data as inputs. The proposed two-stage method identifies a new FOV border based on the estimated extent of the complete body and imputes missing tissues in the truncated region. The training samples are simulated using CT slices with complete body in FOV, making the model development self-supervised. We evaluate the validity of the proposed method in automatic BC assessment using lung screening CT with limited FOV. The proposed method effectively restores the missing tissues and reduces BC assessment error introduced by FOV tissue truncation. In the BC assessment for large-scale lung screening CT datasets, this correction improves both the intra-subject consistency and the correlation with anthropometric approximations. The developed method is available at https://github.com/MASILab/S-EFOV.
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Affiliation(s)
- Kaiwen Xu
- Vanderbilt University, 2301 Vanderbilt Place, Nashville, 37235, United States.
| | - Thomas Li
- Vanderbilt University, 2301 Vanderbilt Place, Nashville, 37235, United States
| | - Mirza S Khan
- Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, 37232, United States
| | - Riqiang Gao
- Vanderbilt University, 2301 Vanderbilt Place, Nashville, 37235, United States
| | - Sanja L Antic
- Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, 37232, United States
| | - Yuankai Huo
- Vanderbilt University, 2301 Vanderbilt Place, Nashville, 37235, United States
| | - Kim L Sandler
- Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, 37232, United States
| | - Fabien Maldonado
- Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, 37232, United States
| | - Bennett A Landman
- Vanderbilt University, 2301 Vanderbilt Place, Nashville, 37235, United States; Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, 37232, United States
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3
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Jogiat U, Jimoh Z, Turner SR, Baracos V, Eurich D, Bédard ELR. Sarcopenia in Lung Cancer: A Narrative Review. Nutr Cancer 2023:1-14. [PMID: 37177914 DOI: 10.1080/01635581.2023.2212425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
It has been over 10 years since the relationship between sarcopenia and lung cancer was first explored. Since then, sarcopenia research has progressed substantially, and the prognostic value of this condition is becoming increasingly apparent. Prior systematic reviews and meta-analyses have established sarcopenia to be negatively associated with disease-free and overall-survival, as well as a major risk factor for post-operative complications. The bulk of the literature has explored sarcopenia in the resectable setting, with less emphasis placed on studies evaluating this condition in advanced disease. In this up-to-date review, an examination of the literature exploring the association between sarcopenia and long-term outcomes in advanced lung cancer is provided. We further explore the association between adverse events of medical therapy and the role of sarcopenia as a predictor of tumor response. Finally, the interventions on sarcopenia and cancer cachexia are reviewed, with an emphasis placed on prospective studies.
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Affiliation(s)
- Uzair Jogiat
- Division of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, Canada
| | | | - Simon R Turner
- Division of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, Canada
| | - Vickie Baracos
- Division of Palliative Care Medicine, Department of Oncology, University of Alberta, Edmonton, Canada
| | - Dean Eurich
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Eric L R Bédard
- Division of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, Canada
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4
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Tahir I, Cahalane AM, Saenger JA, Leppelmann KS, Abrishami Kashani M, Marquardt JP, Silverman SG, Shyn PB, Mercaldo ND, Fintelmann FJ. Factors Associated with Hospital Length of Stay and Adverse Events following Percutaneous Ablation of Lung Tumors. J Vasc Interv Radiol 2023; 34:759-767.e2. [PMID: 36521793 DOI: 10.1016/j.jvir.2022.12.013] [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: 07/11/2022] [Revised: 10/12/2022] [Accepted: 12/03/2022] [Indexed: 12/14/2022] Open
Abstract
PURPOSE To explore the association between risk factors established in the surgical literature and hospital length of stay (HLOS), adverse events, and hospital readmission within 30 days after percutaneous image-guided thermal ablation of lung tumors. MATERIALS AND METHODS This bi-institutional retrospective cohort study included 131 consecutive adult patients (67 men [51%]; median age, 65 years) with 180 primary or metastatic lung tumors treated in 131 sessions (74 cryoablation and 57 microwave ablation) from 2006 to 2019. Age-adjusted Charlson Comorbidity Index, sex, performance status, smoking status, chronic obstructive pulmonary disease (COPD), primary lung cancer versus pulmonary metastases, number of tumors treated per session, maximum axial tumor diameter, ablation modality, number of pleural punctures, anesthesia type, pulmonary artery-to-aorta ratio, lung densitometry, sarcopenia, and adipopenia were evaluated. Associations between risk factors and outcomes were assessed using univariable and multivariable generalized linear models. RESULTS In univariable analysis, HLOS was associated with current smoking (incidence rate ratio [IRR], 4.54 [1.23-16.8]; P = .02), COPD (IRR, 3.56 [1.40-9.04]; P = .01), cryoablations with ≥3 pleural punctures (IRR, 3.13 [1.07-9.14]; P = .04), general anesthesia (IRR, 10.8 [4.18-27.8]; P < .001), and sarcopenia (IRR, 2.66 [1.10-6.44]; P = .03). After multivariable adjustment, COPD (IRR, 3.56 [1.57-8.11]; P = .003) and general anesthesia (IRR, 12.1 [4.39-33.5]; P < .001) were the only risk factors associated with longer HLOS. No associations were observed between risk factors and adverse events in multivariable analysis. Tumors treated per session were associated with risk of hospital readmission (P = .03). CONCLUSIONS Identified preprocedural risk factors from the surgical literature may aid in risk stratification for HLOS after percutaneous ablation of lung tumors, but were not associated with adverse events.
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Affiliation(s)
- Ismail Tahir
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Alexis M Cahalane
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Jonathan A Saenger
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts; Medical School, Sigmund Freud University, Vienna, Austria
| | - Konstantin S Leppelmann
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Maya Abrishami Kashani
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - J Peter Marquardt
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Stuart G Silverman
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Paul B Shyn
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Florian J Fintelmann
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
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Jennerich AL, Downey L, Goss CH, Kapnadak SG, Pryor JB, Ramos KJ. Computed tomography body composition and clinical outcomes following lung transplantation in cystic fibrosis. BMC Pulm Med 2023; 23:105. [PMID: 36997883 PMCID: PMC10062009 DOI: 10.1186/s12890-023-02398-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/24/2023] [Indexed: 04/01/2023] Open
Abstract
BACKGROUND Low muscle mass is common in patients approaching lung transplantation and may be linked to worse post-transplant outcomes. Existing studies assessing muscle mass and post-transplant outcomes include few patients with cystic fibrosis (CF). METHODS Between May 1993 and December 2018, 152 adults with CF received lung transplants at our institution. Of these, 83 met inclusion criteria and had usable computed tomography (CT) scans. Using Cox proportional hazards regression, we evaluated the association between pre-transplant thoracic skeletal muscle index (SMI) and our primary outcome of death after lung transplantation. Secondary outcomes, including days to post-transplant extubation and post-transplant hospital and intensive care unit (ICU) length of stay, were assessed using linear regression. We also examined associations between thoracic SMI and pre-transplant pulmonary function and 6-min walk distance. RESULTS Median thoracic SMI was 26.95 cm2/m2 (IQR 23.97, 31.32) for men and 22.83 cm2/m2 (IQR 21.27, 26.92) for women. There was no association between pre-transplant thoracic SMI and death after transplant (HR 1.03; 95% CI 0.95, 1.11), days to post-transplant extubation, or post-transplant hospital or ICU length of stay. There was an association between pre-transplant thoracic SMI and pre-transplant FEV1% predicted (b = 0.39; 95% CI 0.14, 0.63), with higher SMI associated with higher FEV1% predicted. CONCLUSIONS Skeletal muscle index was low for men and women. We did not identify a significant relationship between pre-transplant thoracic SMI and post-transplant outcomes. There was an association between thoracic SMI and pre-transplant pulmonary function, confirming the potential value of sarcopenia as a marker of disease severity.
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Affiliation(s)
- Ann L Jennerich
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA.
| | - Lois Downey
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Christopher H Goss
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
- Department of Pediatrics, Division of Pulmonary and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Siddhartha G Kapnadak
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Joseph B Pryor
- Department of General Internal Medicine, University of Washington, Seattle, WA, USA
| | - Kathleen J Ramos
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
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Troschel FM, Troschel BO, Kloss M, Troschel AS, Pepper NB, Wiewrodt RG, Stummer W, Wiewrodt D, Theodor Eich H. Cervical body composition on radiotherapy planning computed tomography scans predicts overall survival in glioblastoma patients. Clin Transl Radiat Oncol 2023; 40:100621. [PMID: 37008514 PMCID: PMC10063381 DOI: 10.1016/j.ctro.2023.100621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 03/20/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023] Open
Abstract
Background and purpose Glioblastoma (GBM) patients face a strongly unfavorable prognosis despite multimodal therapy regimens. However, individualized mortality prediction remains imprecise. Harnessing routine radiation planning cranial computed tomography (CT) scans, we assessed cervical body composition measures as novel biomarkers for overall survival (OS) in GBM patients. Materials and methods We performed threshold-based semi-automated quantification of muscle and subcutaneous fat cross-sectional area (CSA) at the levels of the first and second cervical vertebral body. First, we tested this method's validity by correlating cervical measures to established abdominal body composition in an open-source whole-body CT cohort. We then identified consecutive patients undergoing radiation planning for recent GBM diagnosis at our institution from 2010 to 2020 and quantified cervical body composition on radiation planning CT scans. Finally, we performed univariable and multivariable time-to-event analyses, adjusting for age, sex, body mass index, comorbidities, performance status, extent of surgical resection, extent of tumor at diagnosis, and MGMT methylation. Results Cervical body composition measurements were well-correlated with established abdominal markers (Spearman's rho greater than 0.68 in all cases). Subsequently, we included 324 GBM patients in our study cohort (median age 63 years, 60.8% male). 293 (90.4%) patients died during follow-up. Median survival time was 13 months. Patients with below-average muscle CSA or above-average fat CSA demonstrated shorter survival. In multivariable analyses, continuous cervical muscle measurements remained independently associated with OS. Conclusion This exploratory study establishes novel cervical body composition measures routinely available on cranial radiation planning CT scans and confirms their association with OS in patients diagnosed with GBM.
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Affiliation(s)
- Fabian M. Troschel
- Department of Radiation Oncology, Münster University Hospital, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
- Corresponding author at: Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany.
| | - Benjamin O. Troschel
- Department of Radiation Oncology, Münster University Hospital, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Maren Kloss
- Department of Neurosurgery, Münster University Hospital, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Amelie S. Troschel
- Department of Medicine II, Klinikum Wolfsburg, Sauerbruchstraße 7, 38440 Wolfsburg, Germany
| | - Niklas B. Pepper
- Department of Radiation Oncology, Münster University Hospital, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Rainer G. Wiewrodt
- Pulmonary Research Division, Münster University, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
- Department of Pulmonary Medicine, Mathias Foundation, Hospitals Rheine and Ibbenbueren, Frankenburgsstrasse 31, 48431 Rheine, Germany
| | - Walter Stummer
- Department of Neurosurgery, Münster University Hospital, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Dorothee Wiewrodt
- Department of Neurosurgery, Münster University Hospital, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Hans Theodor Eich
- Department of Radiation Oncology, Münster University Hospital, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
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Beaudart C, Drost RMWA, Evers SMAA, Paulus ATG, Hiligsmann M. Associations between muscle mass/strength and healthcare costs/use for patients with cancer: A systematic literature review. Cancer Treat Res Commun 2022; 33:100633. [PMID: 36113192 DOI: 10.1016/j.ctarc.2022.100633] [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: 08/09/2022] [Revised: 09/02/2022] [Accepted: 09/05/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE To review published scientific evidence evaluating the potential associations between muscle mass/strength and healthcare use/costs for patients with cancer. METHODS In accordance with the predefined protocol for a systematic literature review, studies assessing potential associations between muscle mass/strength and healthcare costs/use in cancer patients were searched on MEDLINE (via Ovid) and on the NHS Economic Evaluation Database in September 2021. Study selection, data extraction and quality assessment were performed by two independent reviewers. RESULTS Of 613 studies identified, five met our inclusion criteria. Various outcomes were investigated: for length of hospital stay, one out of three studies reported an association between lower muscle mass and longer hospital stay; for hospital admission, the two identified studies did not highlight muscle weakness as a predictor of hospital admission; for hospital readmission, one out of two studies reported that patients with lower muscle mass had higher rates of hospital readmission; for costs and cost-effectiveness, results of two randomized controlled trials were mixed, with total costs of the intervention higher in one study and lower in the other, leading to opposite cost-effectiveness results. CONCLUSION Only five studies evaluating potential associations between mass/strength and healthcare use/costs have been highlighted within this systematic review. The amount of evidence is limited but the studies are also very heterogeneous in regards of study designs, sample size, and type of population included. This important heterogeneity prevents drawing strong conclusions. Because of limited data available, more high quality longitudinal studies are needed to further investigate the relationship between muscle mass/strength and healthcare costs/use.
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Affiliation(s)
- Charlotte Beaudart
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
| | - Ruben M W A Drost
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Silvia M A A Evers
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands; Centre for Economic Evaluation and Machine learning, Netherlands Institute of Mental Health and Addiction, Trimbos Institute, Utrecht, The Netherlands
| | - Aggie T G Paulus
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands; School of Health Professions Education (SHE), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Mickaël Hiligsmann
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
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Rizzo S, Petrella F, Bardoni C, Bramati L, Cara A, Mohamed S, Radice D, Raia G, Del Grande F, Spaggiari L. CT-Derived Body Composition Values and Complications After Pneumonectomy in Lung Cancer Patients: Time for a Sex-Related Analysis? Front Oncol 2022; 12:826058. [PMID: 35372021 PMCID: PMC8964946 DOI: 10.3389/fonc.2022.826058] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/09/2022] [Indexed: 12/12/2022] Open
Abstract
Purpose This study aimed to assess if CT-derived body composition values and clinical characteristics are associated with the risk of postsurgical complications in men and women who underwent pneumonectomy for lung cancer. Materials and Methods Patients who underwent pneumonectomy between 2004 and 2008 were selected. The ethics committee approved this retrospective study with waiver of informed content. Main clinical data collected were sex, age, weight and height to calculate body mass index (BMI), albumin, C-reactive protein, smoking status, side, sarcopenia, presurgical treatments, reoperation, and complications within 30 days after pneumonectomy, classified as: lung complications, cardiac complications, other complications, and any complication. From an axial CT image at the level of L3, automatic segmentations were performed to calculate skeletal muscle area (SMA), skeletal muscle density, subcutaneous adipose tissue, and visceral adipose tissue. Skeletal muscle index was calculated as SMA/square height. Univariate and multivariate logistic regression analyses were performed to estimate the risk of any complication, both on the total population and in a by sex subgroup analysis. All tests were two tailed and considered significant at 5% level. Results A total of 107 patients (84 men and 23 women) were included. Despite no significant differences in BMI, there were significant differences of body composition values in muscle and adipose tissue parameters between men and women, with women being significantly more sarcopenic than men (p = 0.002). Separate analyses for men and women showed that age and SMA were significantly associated with postoperative complications in men (p = 0.03 and 0.02, respectively). Conclusions Body composition measurements extracted from routine CT may help in predicting complications after pneumonectomy, with men and women being different in quantity and distribution of muscle and fat, and men significantly more prone to postpneumonectomy complications with the increase of age and the decrease of skeletal muscle area.
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Affiliation(s)
- Stefania Rizzo
- Service of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.,Facoltà di Scienze biomediche, Università della Svizzera italiana (USI), Lugano, Switzerland
| | - Francesco Petrella
- Department of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Claudia Bardoni
- Department of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Lorenzo Bramati
- Department of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Andrea Cara
- Department of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Shehab Mohamed
- Department of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Davide Radice
- Division of Epidemiology and Biostatistics, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Giorgio Raia
- Service of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
| | - Filippo Del Grande
- Service of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.,Facoltà di Scienze biomediche, Università della Svizzera italiana (USI), Lugano, Switzerland
| | - Lorenzo Spaggiari
- Department of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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9
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Catikkas NM, Bahat Z, Oren MM, Bahat G. Older cancer patients receiving radiotherapy: a systematic review for the role of sarcopenia in treatment outcomes. Aging Clin Exp Res 2022; 34:1747-1759. [PMID: 35169986 DOI: 10.1007/s40520-022-02085-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 01/23/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Previous studies have evaluated the prognostic effects of sarcopenia in cancer patients receiving various treatments, including chemotherapy and surgery, but few studies have focused on radiotherapy (RT). AIMS We aimed to investigate the prevalence of sarcopenia and the relationship between sarcopenia and outcomes in older cancer patients who underwent RT without chemotherapy. METHODS A systematic review of the literature was conducted in Pubmed/Medline and Cochrane databases in September 2021. We used the search terms and medical subject heading terms "sarcopenia," "low muscle mass (LMM)," "low muscle strength," "LMM and low muscle strength," "LMM and low muscle strength and low physical performance," and "RT." Outcomes were overall survival (OS), progression-free survival, non-cancer death, cancer death, disease-specific survival, local failure-free survival, distant failure-free survival, and RT-related toxicities. RESULTS Among 460 studies, 8 studies were eligible for inclusion. The prevalence of sarcopenia was between 42.8% and 72%. Sarcopenia was not associated with OS or OS at 3 years in seven studies in which it was defined as the presence of LMM, while it was related in one study, in which it was defined as the concomitant presence of LMM and muscle strength/function. DISCUSSION There was heterogeneity between the studies because there was diversity in their inclusion criteria, definition and assessment methods used for detection of sarcopenia, considered cutoffs for low muscle mass and strength, cross-sectional locations on imaging to assess muscle mass and included covariates. The discrepancy in the results of the studies may also result from the variations in diagnoses, sample sizes, and treatment modalities. The low number of included studies and a small number of patients in each study limited generalizability. CONCLUSIONS Sarcopenia may be a prognostic factor, especially in OS when low muscle strength/function is integrated into its definition. We suggest that clinicians focus on muscle strength/function while considering sarcopenia and its association with cancer and RT-related outcomes.
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Affiliation(s)
- Nezahat Muge Catikkas
- Division of Geriatrics, Department of Internal Medicine, Istanbul Medical School, Istanbul University, Capa, 34093, Istanbul, Turkey
| | - Zumrut Bahat
- Department of Radiation Oncology, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Meryem Merve Oren
- Department of Public Health, Istanbul Medical School, Istanbul University, Capa, 34093, Istanbul, Turkey
| | - Gulistan Bahat
- Division of Geriatrics, Department of Internal Medicine, Istanbul Medical School, Istanbul University, Capa, 34093, Istanbul, Turkey.
- Division of Geriatrics, Department of Internal Medicine, Istanbul Medical School, Istanbul University, Capa, 34390, Istanbul, Turkey.
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Verhoek OG, Jungblut L, Lauk O, Blüthgen C, Opitz I, Frauenfelder T, Martini K. Sarcopenia, Precardial Adipose Tissue and High Tumor Volume as Outcome Predictors in Surgically Treated Pleural Mesothelioma. Diagnostics (Basel) 2022; 12:diagnostics12010099. [PMID: 35054268 PMCID: PMC8774409 DOI: 10.3390/diagnostics12010099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 12/22/2021] [Accepted: 12/28/2021] [Indexed: 02/05/2023] Open
Abstract
Background: We evaluated the prognostic value of Sarcopenia, low precardial adipose-tissue (PAT), and high tumor-volume in the outcome of surgically-treated pleural mesothelioma (PM). Methods: From 2005 to 2020, consecutive surgically-treated PM-patients having a pre-operative computed tomography (CT) scan were retrospectively included. Sarcopenia was assessed by CT-based parameters measured at the level of the fifth thoracic vertebra (TH5) by excluding fatty-infiltration based on CT-attenuation. The findings were stratified for gender, and a threshold of the 33rd percentile was set to define sarcopenia. Additionally, tumor volume as well as PAT were measured. The findings were correlated with progression-free survival and long-term mortality. Results: Two-hundred-seventy-eight PM-patients (252 male; 70.2 ± 9 years) were included. The mean progression-free survival was 18.6 ± 12.2 months, and the mean survival time was 23.3 ± 24 months. Progression was associated with chronic obstructive pulmonary disease (COPD) (p = <0.001), tumor-stage (p = 0.001), and type of surgery (p = 0.026). Three-year mortality was associated with higher patient age (p = 0.005), presence of COPD (p < 0.001), higher tumor-stage (p = 0.015), and higher tumor-volume (p < 0.001). Kaplan-Meier statistics showed that sarcopenic patients have a higher three-year mortality (p = 0.002). While there was a negative correlation of progression-free survival and mortality with tumor volume (r = 0.281, p = 0.001 and r = −0.240, p < 0.001; respectively), a correlation with PAT could only be shown for epithelioid PM (p = 0.040). Conclusions: Sarcopenia as well as tumor volume are associated with long-term mortality in surgically treated PM-patients. Further, while there was a negative correlation of progression-free survival and mortality with tumor volume, a correlation with PAT could only be shown for epithelioid PM.
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Affiliation(s)
- Oliver Guido Verhoek
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland; (O.G.V.); (L.J.); (C.B.); (T.F.)
- Faculty of Medicine, University of Zurich, Rämistrasse 71, 8006 Zurich, Switzerland; (O.L.); (I.O.)
| | - Lisa Jungblut
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland; (O.G.V.); (L.J.); (C.B.); (T.F.)
- Faculty of Medicine, University of Zurich, Rämistrasse 71, 8006 Zurich, Switzerland; (O.L.); (I.O.)
| | - Olivia Lauk
- Faculty of Medicine, University of Zurich, Rämistrasse 71, 8006 Zurich, Switzerland; (O.L.); (I.O.)
- Department of Thoracic Surgery, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Christian Blüthgen
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland; (O.G.V.); (L.J.); (C.B.); (T.F.)
- Faculty of Medicine, University of Zurich, Rämistrasse 71, 8006 Zurich, Switzerland; (O.L.); (I.O.)
| | - Isabelle Opitz
- Faculty of Medicine, University of Zurich, Rämistrasse 71, 8006 Zurich, Switzerland; (O.L.); (I.O.)
- Department of Thoracic Surgery, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Thomas Frauenfelder
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland; (O.G.V.); (L.J.); (C.B.); (T.F.)
- Faculty of Medicine, University of Zurich, Rämistrasse 71, 8006 Zurich, Switzerland; (O.L.); (I.O.)
| | - Katharina Martini
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland; (O.G.V.); (L.J.); (C.B.); (T.F.)
- Faculty of Medicine, University of Zurich, Rämistrasse 71, 8006 Zurich, Switzerland; (O.L.); (I.O.)
- Correspondence:
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11
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Moon SW, Kim SY, Choi JS, Leem AY, Lee SH, Park MS, Kim YS, Chung KS. Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients. Sci Rep 2021; 11:23461. [PMID: 34873225 PMCID: PMC8648749 DOI: 10.1038/s41598-021-02853-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 11/23/2021] [Indexed: 12/11/2022] Open
Abstract
In elderly ICU patients, the prevalence of skeletal muscle loss is high. Longitudinal effect of thoracic muscles, especially in elderly ICU patients, are unclear although skeletal muscle loss is related with the short- and long-term outcomes. This study aimed to evaluate whether pectoralis muscle mass loss could be a predictor of prognosis in elderly ICU patients. We retrospectively evaluated 190 elderly (age > 70 years) patients admitted to the ICU. We measured the cross-sectional area (CSA) of the pectoralis muscle (PMCSA) at the fourth vertebral region. CT scans within two days before ICU admission were used for analysis. Mortality, prolonged mechanical ventilation, and longitudinal changes in Sequential Organ Failure Assessment (SOFA) scores were examined. PMCSA below median was significantly related with prolonged ventilation (odds ratio 2.92) and a higher SOFA scores during the ICU stay (estimated mean = 0.94). PMCSA below median was a significant risk for hospital mortality (hazards ratio 2.06). In elderly ICU patients, a low ICU admission PMCSA was associated with prolonged ventilation, higher SOFA score during the ICU stay, and higher mortality. Adding thoracic skeletal muscle CSA at the time of ICU admission into consideration in deciding the therapeutic intensity in elderly ICU patients may help in making medical decisions.
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Affiliation(s)
- Sung Woo Moon
- Division of Geriatrics and Integrated Medicine, Department of Internal Medicine, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Republic of Korea.,Division of Pulmonary Medicine, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Song Yee Kim
- Division of Pulmonary Medicine, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Ji Soo Choi
- Division of Pulmonary Medicine, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Ah Young Leem
- Division of Pulmonary Medicine, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Su Hwan Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Moo Suk Park
- Division of Pulmonary Medicine, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Young Sam Kim
- Division of Pulmonary Medicine, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Kyung Soo Chung
- Division of Pulmonary Medicine, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea.
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12
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Sakuyama A, Saitoh M, Iwai K, Kon K, Hori K, Nagayama M. Psoas Muscle Volume and Attenuation are Better Predictors than Muscle Area for Hospital Readmission in Older Patients after Transcatheter Aortic Valve Implantation. Phys Ther Res 2021; 24:128-135. [PMID: 34532208 DOI: 10.1298/ptr.e10079] [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: 10/16/2020] [Accepted: 11/28/2020] [Indexed: 11/23/2022]
Abstract
OBJECTIVE This study aimed to determine whether the psoas muscle volume (PMV) and its muscle attenuation (MA) are associated with hospital readmission after transcatheter aortic valve implantation (TAVI). METHOD We included 113 older patients with aortic stenosis who underwent TAVI at Sakakibara Heart Institute (mean age 85 ± 5 years, 69% women). We measured PMV and psoas muscle area (PMA) as well as total muscle area (TMA) at the third lumbar vertebra using preoperative computed tomography (CT) images. The crude values of the PMV, PMA, and TMA were normalized by dividing by height squared. RESULTS The median follow-up period was 724 days (interquartile range: 528-730 days), and there were 25 all-cause readmissions during the follow-up period (22% of all patients). In the multivariate Cox regression analysis adjusted for age, sex, and EuroSCORE II, the PMV and its MA and crude PMA were significantly associated with all-cause readmission [HR: 0.957 (0.930-0.985), p = 0.003, HR: 0.927 (0.862-0.997), p = 0.040], whereas the PMA and TMA and each MA were not (all p > 0.05). The groups with low PMV and MA had significantly higher incidences of all-cause readmission than that with high PMV and MA (log-rank test: p = 0.011). CONCLUSION PMV and its MA measured from preoperative CT images were independent predictors of all-cause readmission in TAVI patients.
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Affiliation(s)
| | - Masakazu Saitoh
- Department of Physical Therapy, Faculty of Health Science, Juntendo University, Japan
| | - Keigo Iwai
- Department of Rehabilitation, Sakakibara Heart Institute, Japan
| | - Kazuki Kon
- Department of Rehabilitation, Sakakibara Heart Institute, Japan
| | - Kentaro Hori
- Department of Rehabilitation, Sakakibara Heart Institute, Japan
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13
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Troschel FM, Jin Q, Eichhorn F, Muley T, Best TD, Leppelmann KS, Yang CFJ, Troschel AS, Winter H, Heußel CP, Gaissert HA, Fintelmann FJ. Sarcopenia on preoperative chest computed tomography predicts cancer-specific and all-cause mortality following pneumonectomy for lung cancer: A multicenter analysis. Cancer Med 2021; 10:6677-6686. [PMID: 34409756 PMCID: PMC8495285 DOI: 10.1002/cam4.4207] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 07/30/2021] [Indexed: 12/20/2022] Open
Abstract
Background Mortality risk prediction in patients undergoing pneumonectomy for non‐small cell lung cancer (NSCLC) remains imperfect. Here, we aimed to assess whether sarcopenia on routine chest computed tomography (CT) independently predicts worse cancer‐specific (CSS) and overall survival (OS) following pneumonectomy for NSCLC. Methods We included consecutive adults undergoing standard or carinal pneumonectomy for NSCLC at Massachusetts General Hospital and Heidelberg University from 2010 to 2018. We measured muscle cross‐sectional area (CSA) on CT at thoracic vertebral levels T8, T10, and T12 within 90 days prior to surgery. Sarcopenia was defined as T10 muscle CSA less than two standard deviations below the mean in healthy controls. We adjusted time‐to‐event analyses for age, body mass index, Charlson Comorbidity Index, forced expiratory volume in 1 second in % predicted, induction therapy, sex, smoking status, tumor stage, side of pneumonectomy, and institution. Results Three hundred and sixty‐seven patients (67.4% male, median age 62 years, 16.9% early‐stage) underwent predominantly standard pneumonectomy (89.6%) for stage IIIA NSCLC (45.5%) and squamous cell histology (58%). Sarcopenia was present in 104 of 367 patients (28.3%). Ninety‐day all‐cause mortality was 7.1% (26/367). After a median follow‐up of 20.5 months (IQR, 9.2–46.9), 183 of 367 patients (49.9%) had died. One hundred and thirty‐three (72.7%) of these deaths were due to lung cancer. Sarcopenia was associated with shorter CSS (HR 1.7, p = 0.008) and OS (HR 1.7, p = 0.003). Conclusions This transatlantic multicenter study confirms that sarcopenia on preoperative chest CT is an independent risk factor for CSS and OS following pneumonectomy for NSCLC.
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Affiliation(s)
- Fabian M Troschel
- Department of Radiation Oncology, Münster University Hospital, Münster, Germany.,Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Qianna Jin
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik Heidelberg at Heidelberg University Hospital, Heidelberg, Germany.,Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.,Translational Lung Research Centre (TLRC) Heidelberg, German Centre for Lung Research, Heidelberg, Germany.,Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Florian Eichhorn
- Translational Lung Research Centre (TLRC) Heidelberg, German Centre for Lung Research, Heidelberg, Germany.,Department of Surgery, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany
| | - Thomas Muley
- Translational Lung Research Centre (TLRC) Heidelberg, German Centre for Lung Research, Heidelberg, Germany.,Department of Surgery, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany
| | - Till D Best
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Konstantin S Leppelmann
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Chi-Fu Jeffrey Yang
- Department of Surgery, Division of Thoracic Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Amelie S Troschel
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Hauke Winter
- Translational Lung Research Centre (TLRC) Heidelberg, German Centre for Lung Research, Heidelberg, Germany.,Department of Surgery, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany
| | - Claus P Heußel
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik Heidelberg at Heidelberg University Hospital, Heidelberg, Germany.,Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.,Translational Lung Research Centre (TLRC) Heidelberg, German Centre for Lung Research, Heidelberg, Germany
| | - Henning A Gaissert
- Department of Surgery, Division of Thoracic Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Florian J Fintelmann
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, Massachusetts, USA
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14
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Çınar HU, Çelik B, Taşkın G, İnce Ö. Low thoracic muscle mass index on computed tomography predicts adverse outcomes following lobectomy via thoracotomy for lung cancer. Interact Cardiovasc Thorac Surg 2021; 33:712-720. [PMID: 34244772 DOI: 10.1093/icvts/ivab150] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 04/14/2021] [Accepted: 04/14/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES The aim of this study was to determine whether the preoperative thoracic muscle mass is associated with postoperative outcomes in patients undergoing lobectomy via thoracotomy for lung cancer. METHODS Consecutive patients undergoing lobectomy were retrospectively reviewed. The thoracic muscle mass index (TMMI) was obtained at the level of the fifth thoracic vertebra on preoperative thoracic computed tomography (CT). Patients were analysed comparatively by being dividing into low and high muscle index groups by the median of sex-specific TMMI. The primary outcomes were the incidence of any or postoperative pulmonary complications. The secondary outcomes were postoperative intensive care unit (ICU) admission, length of stay (LOS) in the ICU, total hospital LOS, readmission and mortality. RESULTS The study population consisted of 120 patients (63.6 ± 9.8 years; 74% male). Each groups included 60 patients. Major complications occurred in 28.3% (34/120) and readmission in 18.3% (22/120) of patients. The adjusted multivariable analysis showed that each unit increase in TMMI (cm2/m2) was independently associated with the rates of less any complications [odds ratio (OR) 0.92, P = 0.014], pulmonary complications (OR 0.27, P = 0.019), ICU admission (OR 0.76, P = 0.031), hospitalization for >6 days (OR 0.90, P = 0.008) and readmission (OR 0.93, P = 0.029). CONCLUSIONS Low TMMI obtained from the preoperative thoracic CT is an independent predictor of postoperative adverse outcomes in patients following lobectomy via thoracotomy for lung cancer. TMMI measurements may contribute to the development of preoperative risk stratification studies in the future.
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Affiliation(s)
- Hüseyin Ulaş Çınar
- Department of Thoracic Surgery, Medicana International Hospital, Samsun, Turkey
| | - Burçin Çelik
- Department of Thoracic Surgery, Medicana International Hospital, Samsun, Turkey.,Department of Thoracic Surgery, Ondokuz Mayıs University Medical Faculty, Samsun, Turkey
| | - Gülten Taşkın
- Department of Radiology, Medicana International Hospital, Samsun, Turkey
| | - Özgür İnce
- Department of Chest Diseases, Medicana International Hospital, Samsun, Turkey
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15
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Poros B, Becker-Pennrich AS, Sabel B, Stemmler HJ, Wassilowsky D, Weig T, Hinske LC, Zwissler B, Ricke J, Hoechter DJ. Anthropometric analysis of body habitus and outcomes in critically ill COVID-19 patients. ACTA ACUST UNITED AC 2021; 25:100358. [PMID: 34250312 PMCID: PMC8253663 DOI: 10.1016/j.obmed.2021.100358] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 06/25/2021] [Accepted: 06/30/2021] [Indexed: 11/20/2022]
Abstract
Aims This study aimed to determine whether anthropometric markers of thoracic skeletal muscle and abdominal visceral fat tissue correlate with outcome parameters in critically ill COVID-19 patients. Methods We retrospectively analysed thoracic CT-scans of 67 patients in four ICUs at a university hospital. Thoracic skeletal muscle (total cross-sectional area (CSA); pectoralis muscle area (PMA)) and abdominal visceral fat tissue (VAT) were quantified using a semi-automated method. Point-biserial-correlation-coefficient, Spearman-correlation-coefficient, Wilcoxon rank-sum test and logistic regression were used to assess the correlation and test for differences between anthropometric parameters and death, ventilator- and ICU-free days and initial inflammatory laboratory values. Results Deceased patients had lower CSA and PMA values, but higher VAT values (p < 0.001). Male patients with higher CSA values had more ventilator-free days (p = 0.047) and ICU-free days (p = 0.017). Higher VAT/CSA and VAT/PMA values were associated with higher mortality (p < 0.001), but were negatively correlated with ICU length of stay in female patients only (p < 0.016). There was no association between anthropometric parameters and initial inflammatory biomarker levels. Logistic regression revealed no significant independent predictor for death. Conclusion Our study suggests that pathologic body composition assessed by planimetric measurements using thoracic CT-scans is associated with worse outcome in critically ill COVID-19 patients.
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Affiliation(s)
- Balázs Poros
- Department of Anesthesiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany.,Department of Anesthesiology and Intensive Care Medicine, RoMed Klinikum Rosenheim, Pettenkoferstr. 10, 83022, Rosenheim, Germany
| | - Andrea Sabine Becker-Pennrich
- Department of Anesthesiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany.,The Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Bastian Sabel
- Department of Radiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Hans Joachim Stemmler
- Department of Medicine III, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Dietmar Wassilowsky
- Department of Anesthesiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Thomas Weig
- Department of Anesthesiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Ludwig Christian Hinske
- Department of Anesthesiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany.,The Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Bernhard Zwissler
- Department of Anesthesiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pulmonary Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Max-Lebsche-Platz 31, 81377, Munich, Germany
| | - Jens Ricke
- Department of Radiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Dominik J Hoechter
- Department of Anesthesiology, LMU Klinikum, University Hospital, Ludwig-Maximilians-University, Munich, Marchioninistr. 15, 81377, Munich, Germany
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16
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Giraudo C, Librizzi G, Fichera G, Motta R, Balestro E, Calabrese F, Carretta G, Cattelan AM, Navalesi P, Pelloso M, Plebani M, Rea F, Vettor R, Vianello A, Stramare R. Reduced muscle mass as predictor of intensive care unit hospitalization in COVID-19 patients. PLoS One 2021; 16:e0253433. [PMID: 34138945 PMCID: PMC8211180 DOI: 10.1371/journal.pone.0253433] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 06/07/2021] [Indexed: 12/17/2022] Open
Abstract
Purpose To evaluate if reduced muscle mass, assessed with Computed Tomography (CT), is a predictor of intensive care unit (ICU) hospitalization in COVID-19 patients. Methods In this Institution Review Board approved study, we retrospectively evaluated COVID-19 patients treated in our tertiary center from March to November 2020 who underwent an unenhanced chest CT scan within three weeks from hospitalization.We recorded the mean Hounsfield Unit (Hu) value of the right paravertebral muscle at the level of the 12th thoracic vertebra, the hospitalization unit (ICU and COVID-19 wards), clinical symptoms, Barthel Index, and laboratory findings.Logistic regression analysis was applied to assess if muscle loss (Hu<30) is a predictor of ICU admission and outcome.Fisher’s exact and Student’s tests were applied to evaluate if differences between patients with and without muscle loss occurred (p<0.05). Results One-hundred-fifty patients matched the inclusion criteria (46 females; mean age±SD 61.3±15 years-old), 36 treated in ICU. Patients in ICU showed significantly lower Hu values (29±24 vs 39.4±12, p = 0.001). Muscle loss was a predictor of ICU admission (p = 0.004).Patients with muscle loss were significantly older (73.4±10 vs 56.4±14 years), had lower Barthel Index scores (54.4±33 vs 85.1±26), red blood-cell count (3.9±1 vs 4.6±1×1012L−1), and Hb levels (11.5±2 vs 13.2±2g/l) as well as higher white blood-cell count (9.4±7 vs 7.2±4×109L−1), C-reactive protein (71.5±71 vs 44±48U/L), and lactate dehydrogenase levels (335±163 vs 265.8±116U/L) (p<0.05, each). Conclusions Muscle loss seems to be a predictor of ICU hospitalization in COVID-19 patients and radiologists reporting chest CT at admission should note this finding in their reports.
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Affiliation(s)
- Chiara Giraudo
- Department of Medicine–DIMED, University of Padova, Padova, Italy
- * E-mail:
| | | | - Giulia Fichera
- Department of Medicine–DIMED, University of Padova, Padova, Italy
| | - Raffaella Motta
- Department of Medicine–DIMED, University of Padova, Padova, Italy
| | - Elisabetta Balestro
- Respiratory Disease Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Fiorella Calabrese
- Pathological Anatomy Section, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Giovanni Carretta
- Unità Locale Socio Sanitaria–ULSS 3 Serenissima, Veneto Region, Italy
| | - Anna Maria Cattelan
- Division of Infectious and Tropical Diseases, Padova University Hospital, Padova, Italy
| | - Paolo Navalesi
- Anesthesiology and Intensive Care Unit, Department of Medicine–DIMED, University of Padova, Padova, Italy
| | - Michela Pelloso
- Department of Laboratory Medicine, University Hospital of Padova, Padova, Italy
| | - Mario Plebani
- Department of Laboratory Medicine, University Hospital of Padova, Padova, Italy
| | - Federico Rea
- Thoracic Surgery, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Roberto Vettor
- Internal Medicine, Department of Medicine—DIMED, University of Padova, Padova, Italy
| | - Andrea Vianello
- Respiratory Pathophysiology Division, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Roberto Stramare
- Department of Medicine–DIMED, University of Padova, Padova, Italy
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17
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The use of alternate vertebral levels to L3 in computed tomography scans for skeletal muscle mass evaluation and sarcopenia assessment in patients with cancer: a systematic review. Br J Nutr 2021; 127:722-735. [PMID: 33910664 DOI: 10.1017/s0007114521001446] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Body composition measurement using diagnostic computed tomography (CT) scans has emerged as a method to assess sarcopenia (low muscle mass) in oncology patients. Assessment of skeletal muscle mass (SMM) using the cross-sectional area of a single vertebral slice (at lumbar L3) in a CT scan is correlated with whole-body skeletal muscle volume. This method is used to assess CT-defined sarcopenia in patients with cancer, with low SMM effecting outcomes. However, as diagnostic scans are based on tumour location, not all include L3. We evaluated the evidence for the use of alternate vertebral CT slices for SMM evaluation when L3 is not available. Five electronic databases were searched from January 1996 to April 2020 for studies using CT scan vertebral slices above L3 for SM measurement in adults with cancer (solid tumours). Validation with whole-body SMM, rationale for the chosen slice and sarcopenia cut-off values were investigated. Thirty-two studies were included, all retrospective and cross-sectional in design. Cervical, thoracic and lumbar slices were used (from C3 to L1), with no validation of whole-body SMM using CT scans. Alternate slices were used in lung, and head and neck cancer patients. Sarcopenia cut-off values were reported in 75 % of studies, with differing methods, with or without sex-specific values, and a lack of consensus. Current evidence is inadequate to provide definitive recommendations for alternate vertebral slice use for SMM evaluation in cancer patients. Variation in sarcopenia cut-offs warrants more robust investigation, in order for risk stratification to be applied to all patients with cancer.
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Wakefield CJ, Jochum SB, Hejna E, Hamati F, Peterson S, Vines D, Shah P, Balk RA, Hayden DM. Novel application of respiratory muscle index obtained from chest computed tomography to predict postoperative respiratory failure after major non-cardiothoracic surgery. Am J Surg 2021; 222:1029-1033. [PMID: 33941359 DOI: 10.1016/j.amjsurg.2021.04.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Postoperative respiratory failure (PRF) is a serious complication associated with significant morbidity and mortality. We propose a new method to predict PRF by utilizing computed tomography (CT) of the chest to assess degree of respiratory muscle wasting prior to surgery. METHODS Patients who received a chest CT and required invasive mechanical ventilation (MV) after major non-cardiothoracic surgery were included. Exclusion criteria included cardiothoracic surgery. Respiratory muscle index (RMI) was calculated at the T6 vertebra measured on Slice-O-Matic® software. RESULTS Thirty three patients met inclusion with a mean (±SD) age, BMI, and APACHE II score of 62.2 years (±12.1), 28.1 kg/m2 (±7.8), and 14.1 (±4.7). Most patients were female (n = 22 [67%]). Eleven patients (33%) developed PRF with a mean of 6.0 (±10.7) initial ventilation days. There was no difference in baseline demographics between groups. RMI values for the PRF group were significantly lower when compared to the non-PRF group: 22.7 cm2/m2 (±5.3) vs. 28.5 cm2/m2 (±5.9) (p = 0.008). CONCLUSION Presence of respiratory muscle wasting prior to surgery was found to be associated with postoperative respiratory failure.
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Affiliation(s)
- Connor J Wakefield
- Department of Surgery, Division of Colon and Rectal Surgery, Rush University Medical Center, United States.
| | - Sarah B Jochum
- Department of Surgery, Division of Colon and Rectal Surgery, Rush University Medical Center, United States
| | - Emily Hejna
- Department of Surgery, Division of Colon and Rectal Surgery, Rush University Medical Center, United States
| | - Fadi Hamati
- Department of Surgery, Division of Colon and Rectal Surgery, Rush University Medical Center, United States
| | - Sarah Peterson
- Department of Clinical Nutrition, College of Health Sciences, Rush University Medical Center, United States
| | - David Vines
- Department of Cardiopulmonary Sciences, Division of Respiratory Care, Rush University Medical Center, United States
| | - Palmi Shah
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, United States
| | - Robert A Balk
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Rush University Medical Center, United States
| | - Dana M Hayden
- Department of Surgery, Division of Colon and Rectal Surgery, Rush University Medical Center, United States
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Significance of Acquisition Parameters for Adipose Tissue Segmentation on CT Images. AJR Am J Roentgenol 2021; 217:177-185. [PMID: 33729886 DOI: 10.2214/ajr.20.23280] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. CT-based body composition analysis quantifies skeletal muscle and adipose tissue. However, acquisition parameters and quality can vary between CT images obtained for clinical care, which may lead to unreliable measurements and systematic error. The purpose of this study was to estimate the influence of IV contrast medium, tube current-exposure time product, tube potential, and slice thickness on cross-sectional area (CSA) and mean attenuation of subcutaneous (SAT), visceral (VAT), and inter-muscular adipose tissue (IMAT). MATERIALS AND METHODS. We retrospectively analyzed 244 images from 105 patients. We applied semiautomated threshold-based segmentation to CTA, dual-energy CT, and CT images acquired as part of PET examinations. An axial image at the level of the third lumbar vertebral body was extracted from each examination to generate 139 image pairs. Images from each pair were obtained with the same scanner, from the same patient, and during the same examination. Each image pair varied in only one acquisition parameter, which allowed us to estimate the effect of the parameter using one-sample t or median tests and Bland-Altman plots. RESULTS. IV contrast medium application reduced CSA in each adipose tissue compartment, with percentage change ranging from -0.4% (p = .03) to -9.3% (p < .001). Higher tube potential reduced SAT CSA (median percentage change, -4.2%; p < .001) and VAT CSA (median percentage change, -2.8%; p = .001) and increased IMAT CSA (median percentage change, -5.4%; p = .001). Thinner slices increased CSA in the VAT (mean percentage change, 3.0%; p = .005) and IMAT (median percentage change, 17.3%; p < .001) compartments. Lower tube current-exposure time product had a variable effect on CSA (median percentage change, -3.2% for SAT [p < .001], -12.6% for VAT [p = .001], and 58.8% for IMAT [p < .001]). IV contrast medium and higher tube potential increased mean attenuation, with percentage change ranging from 0.8% to 1.7% (p < .05) and from 6.2% to 20.8% (p < .001), respectively. Conversely, thinner slice and lower tube current-exposure time product reduced mean attenuation, with percentage change ranging from -5.4% to -1.0% (p < .001) and from -8.7% to -1.8% (p < .001), respectively. CONCLUSION. Acquisition parameters significantly affect CSA and mean attenuation of adipose tissue. Details of acquisition parameters used for CT-based body composition analysis need to be scrutinized and reported to facilitate interpretation of research studies.
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Schönhofer B, Geiseler J, Dellweg D, Fuchs H, Moerer O, Weber-Carstens S, Westhoff M, Windisch W. Prolonged Weaning: S2k Guideline Published by the German Respiratory Society. Respiration 2020; 99:1-102. [PMID: 33302267 DOI: 10.1159/000510085] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 07/09/2020] [Indexed: 01/28/2023] Open
Abstract
Mechanical ventilation (MV) is an essential part of modern intensive care medicine. MV is performed in patients with severe respiratory failure caused by respiratory muscle insufficiency and/or lung parenchymal disease; that is, when other treatments such as medication, oxygen administration, secretion management, continuous positive airway pressure (CPAP), or nasal high-flow therapy have failed. MV is required for maintaining gas exchange and allows more time to curatively treat the underlying cause of respiratory failure. In the majority of ventilated patients, liberation or "weaning" from MV is routine, without the occurrence of any major problems. However, approximately 20% of patients require ongoing MV, despite amelioration of the conditions that precipitated the need for it in the first place. Approximately 40-50% of the time spent on MV is required to liberate the patient from the ventilator, a process called "weaning". In addition to acute respiratory failure, numerous factors can influence the duration and success rate of the weaning process; these include age, comorbidities, and conditions and complications acquired during the ICU stay. According to international consensus, "prolonged weaning" is defined as the weaning process in patients who have failed at least 3 weaning attempts, or require more than 7 days of weaning after the first spontaneous breathing trial (SBT). Given that prolonged weaning is a complex process, an interdisciplinary approach is essential for it to be successful. In specialised weaning centres, approximately 50% of patients with initial weaning failure can be liberated from MV after prolonged weaning. However, the heterogeneity of patients undergoing prolonged weaning precludes the direct comparison of individual centres. Patients with persistent weaning failure either die during the weaning process, or are discharged back to their home or to a long-term care facility with ongoing MV. Urged by the growing importance of prolonged weaning, this Sk2 Guideline was first published in 2014 as an initiative of the German Respiratory Society (DGP), in conjunction with other scientific societies involved in prolonged weaning. The emergence of new research, clinical study findings and registry data, as well as the accumulation of experience in daily practice, have made the revision of this guideline necessary. The following topics are dealt with in the present guideline: Definitions, epidemiology, weaning categories, underlying pathophysiology, prevention of prolonged weaning, treatment strategies in prolonged weaning, the weaning unit, discharge from hospital on MV, and recommendations for end-of-life decisions. Special emphasis was placed on the following themes: (1) A new classification of patient sub-groups in prolonged weaning. (2) Important aspects of pulmonary rehabilitation and neurorehabilitation in prolonged weaning. (3) Infrastructure and process organisation in the care of patients in prolonged weaning based on a continuous treatment concept. (4) Changes in therapeutic goals and communication with relatives. Aspects of paediatric weaning are addressed separately within individual chapters. The main aim of the revised guideline was to summarize both current evidence and expert-based knowledge on the topic of "prolonged weaning", and to use this information as a foundation for formulating recommendations related to "prolonged weaning", not only in acute medicine but also in the field of chronic intensive care medicine. The following professionals served as important addressees for this guideline: intensivists, pulmonary medicine specialists, anaesthesiologists, internists, cardiologists, surgeons, neurologists, paediatricians, geriatricians, palliative care clinicians, rehabilitation physicians, intensive/chronic care nurses, physiotherapists, respiratory therapists, speech therapists, medical service of health insurance, and associated ventilator manufacturers.
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Affiliation(s)
- Bernd Schönhofer
- Klinikum Agnes Karll Krankenhaus, Klinikum Region Hannover, Laatzen, Germany,
| | - Jens Geiseler
- Klinikum Vest, Medizinische Klinik IV: Pneumologie, Beatmungs- und Schlafmedizin, Marl, Germany
| | - Dominic Dellweg
- Fachkrankenhaus Kloster Grafschaft GmbH, Abteilung Pneumologie II, Schmallenberg, Germany
| | - Hans Fuchs
- Universitätsklinikum Freiburg, Zentrum für Kinder- und Jugendmedizin, Neonatologie und Pädiatrische Intensivmedizin, Freiburg, Germany
| | - Onnen Moerer
- Universitätsmedizin Göttingen, Klinik für Anästhesiologie, Göttingen, Germany
| | - Steffen Weber-Carstens
- Charité, Universitätsmedizin Berlin, Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin, Campus Virchow-Klinikum und Campus Mitte, Berlin, Germany
| | - Michael Westhoff
- Lungenklinik Hemer, Hemer, Germany
- Universität Witten/Herdecke, Herdecke, Germany
| | - Wolfram Windisch
- Lungenklinik, Kliniken der Stadt Köln gGmbH, Universität Witten/Herdecke, Herdecke, Germany
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Hanley C, Donahoe L, Slinger P. "Fit for Surgery? What's New in Preoperative Assessment of the High-Risk Patient Undergoing Pulmonary Resection". J Cardiothorac Vasc Anesth 2020; 35:3760-3773. [PMID: 33454169 DOI: 10.1053/j.jvca.2020.11.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 11/10/2020] [Accepted: 11/11/2020] [Indexed: 12/21/2022]
Abstract
Advances in perioperative assessment and diagnostics, together with developments in anesthetic and surgical techniques, have considerably expanded the pool of patients who may be suitable for pulmonary resection. Thoracic surgical patients frequently are perceived to be at high perioperative risk due to advanced age, level of comorbidity, and the risks associated with pulmonary resection, which predispose them to a significantly increased risk of perioperative complications, increased healthcare resource use, and costs. The definition of what is considered "fit for surgery" in thoracic surgery continually is being challenged. However, no internationally standardized definition of prohibitive risk exists. Perioperative assessment traditionally concentrates on the "three-legged stool" of pulmonary mechanical function, parenchymal function, and cardiopulmonary reserve. However, no single criterion should exclude a patient from surgery, and there are other perioperative factors in addition to the tripartite assessment that need to be considered in order to more accurately assess functional capacity and predict individual perioperative risk. In this review, the authors aim to address some of the more erudite concepts that are important in preoperative risk assessment of the patient at potentially prohibitive risk undergoing pulmonary resection for malignancy.
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Affiliation(s)
- Ciara Hanley
- Department of Anesthesia and Pain Management, University of Toronto, Toronto General Hospital, Toronto, Ontario, Canada.
| | - Laura Donahoe
- Division of Thoracic Surgery, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Peter Slinger
- Department of Anesthesia and Pain Management, University of Toronto, Toronto General Hospital, Toronto, Ontario, Canada
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22
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Multilevel Body Composition Analysis on Chest Computed Tomography Predicts Hospital Length of Stay and Complications After Lobectomy for Lung Cancer. Ann Surg 2020; 275:e708-e715. [DOI: 10.1097/sla.0000000000004040] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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23
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Yılmaz Çankaya B, Karaman A, Albez FS, Polat G, Alper F, Akgün M. The association of silicosis severity with pectoralis major muscle and subcutaneous fat volumes and the pulmonary artery/aorta ratio evaluated by CT. Diagn Interv Radiol 2020; 27:37-41. [PMID: 32209510 DOI: 10.5152/dir.2020.19534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
PURPOSE Silicosis is an incurable occupational disease that sometimes rapidly progresses with fatal outcomes. We aimed to evaluate the association between disease severity and the change in the pectoralis major muscle volume (PMV), subcutaneous fat volume (SFV), and the pulmonary artery/aorta (P/Ao) ratio in patients with silicosis using computed tomography (CT). METHODS The study included 41 male silicosis patients and 41 control group subjects with available chest CT images. Using dedicated software, we measured PMV and SFV from the axial CT images. We calculated the P/Ao ratio and obtained body mass index (BMI) and forced expiratory volume/forced vital capacity (FEV1/FVC) results from hospital records. We used the chest X-ray profusion score according to the International Labor Organization (ILO) classification to evaluate the severity of the silicosis. RESULTS The mean age was 33.5±4.4 and 34.7±4.7 years in the silicotic and control groups, respectively. The mean BMI, PMV, SFV, and P/Ao values significantly differed between the study and control groups (P = 0.0009, P < 0.0001, P < 0.0001, and P = 0.0029, respectively). According to the ILO classification, there were 12 silicosis patients in category 1, 13 in category 2, and 16 in category 3. A significant difference was found between disease categories in terms of PMV, SFV, P/Ao, BMI, and FEV1/FVC values (P = 0.0425, P = 0.0341, P = 0.0002, P = 0.0492, and P = 0.0004, respectively). CONCLUSION Disease severity had a stronger association with decreased PMV and SFV and increased P/Ao ratios than BMI in patients with silicosis caused by denim sandblasting. Thus, CT evaluation might be a useful indicator of disease severity.
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Affiliation(s)
| | - Adem Karaman
- Department of Radiology, Atatürk University School of Medicine, Erzurum, Turkey
| | - Fadime Sultan Albez
- Department of Pulmonary Diseases, Atatürk University School of Medicine, Erzurum, Turkey
| | - Gökhan Polat
- Department of Radiology, Atatürk University School of Medicine, Erzurum, Turkey
| | - Fatih Alper
- Department of Radiology, Atatürk University School of Medicine, Erzurum, Turkey
| | - Metin Akgün
- Department of Pulmonary Diseases, Atatürk University School of Medicine, Erzurum, Turkey
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24
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Computed Tomography–based Body Composition Analysis and Its Role in Lung Cancer Care. J Thorac Imaging 2020; 35:91-100. [DOI: 10.1097/rti.0000000000000428] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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25
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Madariaga MLL, Troschel FM, Best TD, Knoll SJ, Gaissert HA, Fintelmann FJ. Low Thoracic Skeletal Muscle Area Predicts Morbidity After Pneumonectomy for Lung Cancer. Ann Thorac Surg 2020; 109:907-913. [DOI: 10.1016/j.athoracsur.2019.10.041] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Revised: 10/03/2019] [Accepted: 10/14/2019] [Indexed: 12/20/2022]
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26
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Nishimura JM, Ansari AZ, D’Souza DM, Moffatt-Bruce SD, Merritt RE, Kneuertz PJ. Computed Tomography-Assessed Skeletal Muscle Mass as a Predictor of Outcomes in Lung Cancer Surgery. Ann Thorac Surg 2019; 108:1555-1564. [DOI: 10.1016/j.athoracsur.2019.04.090] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 04/18/2019] [Accepted: 04/22/2019] [Indexed: 12/24/2022]
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27
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Li S, Che G, Liu L, Chen L. Does the "obesity paradox" really exist in lung cancer surgery? -maybe we should recognize what is the "obesity" first. J Thorac Dis 2019; 11:S291-S295. [PMID: 30997201 DOI: 10.21037/jtd.2019.01.34] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Shuangjiang Li
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.,State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Guowei Che
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Lunxu Liu
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Longqi Chen
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
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28
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Noncontrast Chest Computed Tomographic Imaging of Obesity and the Metabolic Syndrome. J Thorac Imaging 2019; 34:126-135. [DOI: 10.1097/rti.0000000000000393] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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29
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Matsuo Y. Sarcopenia is a potential factor for optimized treatment selection for elderly patients with early stage non-small cell lung cancer. J Thorac Dis 2019; 11:S443-S445. [PMID: 30997243 DOI: 10.21037/jtd.2018.11.44] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Yukinori Matsuo
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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30
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Troschel AS, Troschel FM, Muniappan A, Gaissert HA, Fintelmann FJ. Role of skeletal muscle on chest computed tomography for risk stratification of lung cancer patients. J Thorac Dis 2019; 11:S483-S484. [PMID: 30997904 DOI: 10.21037/jtd.2019.01.73] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Amelie S Troschel
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA
| | - Fabian M Troschel
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA
| | - Ashok Muniappan
- Department of Surgery, Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Henning A Gaissert
- Department of Surgery, Division of Thoracic Surgery, Massachusetts General Hospital, 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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Abstract
BACKGROUND Analytic morphomics, or more simply, "morphomics," refers to the measurement of specific biomarkers of body composition from medical imaging, most commonly computed tomography (CT) images. An emerging body of literature supports the use of morphomic markers measured on single-slice CT images for risk prediction in a range of clinical populations. However, uptake by healthcare providers been limited due to the lack of clinician-friendly software to facilitate measurements. The objectives of this study were to describe the interface and functionality of CoreSlicer- a free and open-source web-based interface aiming to facilitate measurement of analytic morphomics by clinicians - and to validate muscle and fat measurements performed in CoreSlicer against reference software. RESULTS Measurements of muscle and fat obtained in CoreSlicer show high agreement with established reference software. CoreSlicer features a full set of DICOM viewing tools and extensible plugin interface to facilitate rapid prototyping and validation of new morphomic markers by researchers. We present published studies illustrating the use of CoreSlicer by clinicians with no prior knowledge of medical image segmentation techniques and no formal training in radiology, where CoreSlicer was successfully used to predict operative risk in three distinct populations of cardiovascular patients. CONCLUSIONS CoreSlicer enables extraction of morphomic markers from CT images by non-technically skilled clinicians. Measurements were reproducible and accurate in relation to reference software.
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Affiliation(s)
- Louis Mullie
- Department of Medicine, McGill University, 3755 Cote Ste Catherine Rd, E-222, Montreal, QC, H3T 1E2, Canada
- Division of Cardiology, McGill University, Montreal, QC, Canada
| | - Jonathan Afilalo
- Department of Medicine, McGill University, 3755 Cote Ste Catherine Rd, E-222, Montreal, QC, H3T 1E2, Canada.
- Division of Cardiology, McGill University, Montreal, QC, Canada.
- Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.
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Troschel FM, Kuklinski MW, Knoll SJ, Best TD, Muniappan A, Gaissert HA, Fintelmann FJ. Preoperative thoracic muscle area on computed tomography predicts long-term survival following pneumonectomy for lung cancer. Interact Cardiovasc Thorac Surg 2018; 28:542-549. [DOI: 10.1093/icvts/ivy280] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 08/13/2018] [Accepted: 08/23/2018] [Indexed: 12/25/2022] Open
Affiliation(s)
- Fabian M Troschel
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Martin W Kuklinski
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Sheila J Knoll
- Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Till D Best
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ashok Muniappan
- Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Henning A Gaissert
- Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Florian J Fintelmann
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
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