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Wang B, Zuo L, Fan J, Ji Y, Xu L, Xu M, An Y, Zhang Y, Ji G, Yu D. Association between higher intermuscular adipose tissue and decreased renal function in patients with systemic lupus erythematosus mediated by insulin resistance. Insights Imaging 2024; 15:144. [PMID: 38886276 PMCID: PMC11182995 DOI: 10.1186/s13244-024-01722-8] [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: 02/23/2024] [Accepted: 05/26/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVES To quantify the relationship between abdominal computed tomography (CT)-based body composition parameters and renal function in systemic lupus erythematosus (SLE) patients and evaluate the potential effect of insulin resistance on this relationship. METHODS SLE patients from institutions A and B between January 2017 and August 2023 were enrolled. Areas and attenuation values of subcutaneous adipose tissue, visceral adipose tissue, intermuscular adipose tissue (IMAT), and skeletal muscle index on CT images were measured at the L3 vertebral level. Logistic regression analysis was used to identify risk factors associated with decreased renal function. Linear regression models were used to describe the relationships between body composition parameters and estimated glomerular filtration rate (eGFR). Finally, we used a single-point insulin sensitivity estimator to indirectly reflect the degree of insulin resistance and assess its mediating effect on the association between IMAT area and decreased renal function. RESULTS Three-hundred thirty-nine SLE patients from institution A (internal dataset) and 114 SLE patients from institution B (external validation dataset) were included. Multivariate logistic regression revealed that IMAT area (odds ratio (OR)institution A: 1.05 (95% confidence intervals (95% CI): 1.01, 1.10), and ORinstitution B: 1.19 (95% CI: 1.03, 1.39)) was an independent risk factor for decreased renal function in SLE patients. In the adjusted linear regression model, high IMAT area was significantly associated with reduced eGFR (βinstitution A = -1.15, Pinstitution A = 0.005; βinstitution B = -0.98, Pinstitution B = 0.049). Additionally, insulin resistance contributed a mediating role of 22.8% to the association. CONCLUSION High IMAT area was associated with decreased renal function in SLE patients and insulin resistance mediated this relationship. CRITICAL RELEVANCE STATEMENT High intermuscular adipose tissue area is associated with decreased renal function in systemic lupus erythematosus patients mediated by insulin resistance and is correlated with chronicity index in lupus nephritis patients. KEY POINTS High intramuscular adipose tissue (IMAT) area was associated with decreased renal function in systemic lupus erythematosus (SLE) patients. Insulin resistance mediated the association between IMAT area and eGFR. IMAT area was associated with chronicity index in lupus nephritis patients.
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Affiliation(s)
- Bowen Wang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China
| | - Liping Zuo
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China
| | - Jinlei Fan
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China
| | - Yu Ji
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250033, China
| | - Lei Xu
- Medical Imaging Department, Shengli Oilfield Central Hospital, Dongying, Shandong, 257100, China
| | - Min Xu
- Department of Radiology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, China
| | - Yueming An
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China
| | - Yuting Zhang
- Department of Arrhythmia, Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Guanming Ji
- Medical Imaging Department, Shengli Oilfield Central Hospital, Dongying, Shandong, 257100, China
| | - Deixin Yu
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China.
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Ichikawa S, Sugimori H. Estimating Body Weight From Measurements From Different Single-Slice Computed Tomography Levels: An Evaluation of Total Cross-Sectional Body Area Measurements and Deep Learning. J Comput Assist Tomogr 2024; 48:424-431. [PMID: 38438330 DOI: 10.1097/rct.0000000000001587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
OBJECTIVE This study aimed to evaluate the correlation between the estimated body weight obtained from 2 easy-to-perform methods and the actual body weight at different computed tomography (CT) levels and determine the best reference site for estimating body weight. METHODS A total of 862 patients from a public database of whole-body positron emission tomography/CT studies were retrospectively analyzed. Two methods for estimating body weight at 10 single-slice CT levels were evaluated: a linear regression model using total cross-sectional body area and a deep learning-based model. The accuracy of body weight estimation was evaluated using the mean absolute error (MAE), root mean square error (RMSE), and Spearman rank correlation coefficient ( ρ ). RESULTS In the linear regression models, the estimated body weight at the T5 level correlated best with the actual body weight (MAE, 5.39 kg; RMSE, 7.01 kg; ρ = 0.912). The deep learning-based models showed the best accuracy at the L5 level (MAE, 6.72 kg; RMSE, 8.82 kg; ρ = 0.865). CONCLUSIONS Although both methods were feasible for estimating body weight at different single-slice CT levels, the linear regression model using total cross-sectional body area at the T5 level as an input variable was the most favorable method for single-slice CT analysis for estimating body weight.
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Nie X, Zhang L, Meng H, Zhong Y, Jiang Y, Chen T, Cheng W. Visceral obesity determined by CT as a predictor of short-term postoperative complications in patients with ovarian cancer. Arch Gynecol Obstet 2024; 309:1491-1498. [PMID: 37698603 DOI: 10.1007/s00404-023-07206-2] [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] [Received: 10/12/2022] [Accepted: 08/24/2023] [Indexed: 09/13/2023]
Abstract
OBJECTIVE To explore the association between visceral obesity and short-term postoperative complications in patients with advanced ovarian cancer undergoing cytoreductive surgery. METHODS The medical records of patients with advanced epithelial ovarian cancer were reviewed. The visceral fat area, subcutaneous fat area and total fat area at the L3/4 level were measured on a preoperative single-slice CT scan. The receiver operating characteristic (ROC) curve was used to calculate the optimal cutoff value for the visceral fat area. The relationship between the visceral fat area and the characteristics of ovarian cancer patients were analyzed. Univariable and multivariable logistic regression analyses were performed to investigate relationship between perioperative characteristics and short-term complications. RESULTS According to the ROC curve, the best cutoff value of the VFA was 93 cm2. Of the 130 patients, 53.8% (70/130) had visceral obesity. Patients with visceral obesity were older than those with nonvisceral obesity (58.4 years old vs. 52.1 years old, p < 0.001). The proportion of patients with hypertension was higher (35.7 vs. 13.3%, p = 0.003). The total fat area and subcutaneous fat area were larger in patients with visceral obesity (294.3 ± 75.5 vs. 176.2 ± 68.7, p < 0.001; 158.9 ± 54.7 vs. 121.7 ± 52.6, p < 0.001). Compared with patients in the nonvisceral obese group, patients in the visceral obese group were more likely to have postoperative fever (21/70 30.0% vs. 8/60 1.25%, p = 0.023), leading to a longer length of hospital stay (21 days vs. 17 days, p = 0.009). The time from surgery to adjuvant chemotherapy for patients with visceral obesity was shorter (24 days vs. 19 days, p = 0.037). Multivariate analysis showed that visceral obesity (OR = 6.451, p < 0.001) and operation time (OR = 1.006, p < 0.001) were independent predictors of postoperative complications. CONCLUSION Visceral obesity is an important risk factor for short-term postoperative complications in patients with advanced ovarian cancer undergoing cytoreductive surgery.
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Affiliation(s)
- Xianglin Nie
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China
| | - Lin Zhang
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China
| | - Huangyang Meng
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China
| | - Yi Zhong
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China
- Department of gynaecology and obstetrics, Chongqing Maternal and Child Health Care Hospital, Chongqing, China
| | - Yi Jiang
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China
| | - Ting Chen
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China
| | - Wenjun Cheng
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
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Shafaat O, Liu Y, Jackson KR, Motter JD, Boyarsky BJ, Latif MA, Yuan F, Khalil A, King EA, Zaheer A, Summers RM, Segev DL, McAdams-DeMarco M, Weiss CR. Association between Abdominal CT Measurements of Body Composition before Deceased Donor Liver Transplant with Posttransplant Outcomes. Radiology 2023; 306:e212403. [PMID: 36283115 PMCID: PMC9968774 DOI: 10.1148/radiol.212403] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 09/02/2022] [Accepted: 09/19/2022] [Indexed: 11/11/2022]
Abstract
Background Pre-liver transplant (LT) sarcopenia is associated with poor survival. Methods exist for measuring body composition with use of CT scans; however, it is unclear which components best predict post-LT outcomes. Purpose To quantify the association between abdominal CT-based body composition measurements and post-LT mortality in a large North American cohort. Materials and Methods This was a retrospective cohort of adult first-time deceased-donor LT recipients from 2009 to 2018 who underwent pre-LT abdominal CT scans, including at the L3 vertebral level, at Johns Hopkins Hospital. Measurements included sarcopenia (skeletal muscle index [SMI] <50 in men and <39 in women), sarcopenic obesity, myosteatosis (skeletal muscle CT attenuation <41 mean HU for body mass index [BMI] <25 and <33 mean HU for BMI ≥25), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and VAT/SAT ratio. Covariates in the adjusted models were selected with use of least absolute shrinkage and selection operator regression with lambda chosen by means of 10-fold cross-validation. Cox proportional hazards models were used to quantify associations with post-LT mortality. Model discrimination was quantified using the Harrell C-statistic. Results A total of 454 recipients (median age, 57 years [IQR, 50-62 years]; 294 men) were evaluated. In the adjusted model, pre-LT sarcopenia was associated with a higher hazard ratio (HR) of post-LT mortality (HR, 1.6 [95% CI: 1.1, 2.4]; C-statistic, 0.64; P = .02). SMI was significantly negatively associated with survival after adjustment for covariates. There was no evidence that myosteatosis was associated with mortality (HR, 1.3 [95% CI: 0.86, 2.1]; C-statistic, 0.64; P = .21). There was no evidence that BMI (HR, 1.2 [95% CI: 0.95, 1.4]), VAT (HR, 1.0 [95% CI: 0.98, 1.1]), SAT (HR, 1.0 [95% CI: 0.97, 1.0]), and VAT/SAT ratio (HR, 1.1 [95% CI: 0.90, 1.4]) were associated with mortality (P = .15-.77). Conclusions Sarcopenia, as assessed on routine pre-liver transplant (LT) abdominal CT scans, was the only factor significantly associated with post-LT mortality. © RSNA, 2022 See also the editorial by Ruehm in this issue.
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Affiliation(s)
| | | | - Kyle R. Jackson
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Jennifer D. Motter
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Brian J. Boyarsky
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Muhammad A. Latif
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Frank Yuan
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Adham Khalil
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Elizabeth A. King
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Atif Zaheer
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Ronald M. Summers
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Dorry L. Segev
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
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Brzeszczyński FF, Brzeszczyńska JI. Markers of sarcopenia increase 30-day mortality following emergency laparotomy: A systematic review. Scand J Surg 2023; 112:58-65. [PMID: 36348615 DOI: 10.1177/14574969221133198] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND AND OBJECTIVE Decreased skeletal muscle mass and quality are one of the several markers used for sarcopenia diagnosis and are generally associated with increased rates of post-operative infections, poorer recovery and increased mortality. The aim of this review was to evaluate methods applied to detect markers of sarcopenia and the associated outcomes for patients undergoing emergency laparotomy. METHODS This review was conducted with reference to Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. MEDLINE, Embase and Google Scholar databases were searched. Studies detecting patients with sarcopenia or skeletal muscle decline markers and the associated outcomes after emergency laparotomy surgery were considered. The Newcastle-Ottawa Scale was used to evaluate publication quality. RESULTS Out of 103 studies, which were screened, 19 full-text records were reviewed and 7 studies were ultimately analyzed. The study cohort sizes ranged from n = 46 to n = 967. The age range was 36-95 years. There were 1107 females (53%) and 973 males (47%) across all 7 studies. All studies measured psoas muscle mass and three studies assessed psoas muscle quality using computerized tomography (CT) imaging. No study assessed muscle strength or function, while five studies showed an association between low muscle mass and increased mortality rates after emergency laparotomy. Among the three studies, which assessed muscle quality, two of three studies showed poorer 30-day survival rates. CONCLUSIONS The existing literature is limited, however it indicates that low psoas muscle mass and quality markers are associated with increased 30-day mortality rates after emergency laparotomy. Therefore, muscle markers can be used as a new feasible tool to identify most at risk patients requiring further interventions.
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Visceral Adipose Tissue Influence on Health Problem Development and Its Relationship with Serum Biochemical Parameters in Middle-Aged and Older Adults: A Literature Review. J Aging Res 2022; 2022:8350527. [PMID: 35492380 PMCID: PMC9042620 DOI: 10.1155/2022/8350527] [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: 07/02/2021] [Revised: 08/28/2021] [Accepted: 03/29/2022] [Indexed: 11/24/2022] Open
Abstract
Background The amount of visceral adipose tissue (VAT) tends to increase with age and is associated with several health problems, such as cardiometabolic diseases, increased infections, and overall mortality. Objectives This review provides a general assessment of how visceral adiposity correlates with the development of health problems and changes in serum biochemical parameters in middle-aged and older adults. Methods We searched specific terms in the Virtual Health Library (VHL) databases for VAT articles published in the English language between 2009 and 2019 related to older adults. Results The search found twenty-three publications in this period, of which nine were excluded. The publications had a population aged between 42 and 83 years and correlated the VAT area ratio with several comorbidities (such as pancreatitis, depression, cancer, and coronary heart disease) and serum biochemical parameters. Conclusion Further research on the association between visceral obesity and the emergence of health problems and the relationship between VAT and changes in serum biochemical parameters in older individuals should deepen the understanding of this connection and develop preventive actions.
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Moga TD, Moga I, Sabau M, Nistor-Cseppento CD, Iovanovici DC, Cavalu S, Dogaru BG. Sarcopenia, a major clinical problem in old age, potential causes, clinical consequences and therapeutic possibilities. BALNEO AND PRM RESEARCH JOURNAL 2022. [DOI: 10.12680/balneo.2022.492] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Sarcopenia or degeneration of skeletal muscle tissue with aging, is responsible for functional de-cline and loss of independence in older adults. The purpose of this article is to review the current definitions of sarcopenia, its potential causes, clinical consequences and the potential for prop-hylactic and curative intervention. Sarcopenia is recognized as a major clinical problem for the elderly, and the research in this area is growing exponentially. One of the most important recent developments has been convergence in the operational definition of sarcopenia that combines muscle mass, strength and muscle function. In 2010, the European Working Group on Sarcopenia in Oder People (EWGSOP) published a definition of sarcopenia aimed at promoting progress in the identification and care of the elderly. In early 2018 (EWGSOP2) he met again to update the original definition to reflect the scientific and clinical evidence that has been built over the past decade. The cause of sarcopenia is considered to be multifactorial: hormonal changes, neurologi-cal decline, sedentary / immobilization for a long period, chronic diseases, obesity, all these fac-tors contribute to the onset of sarcopenia. Prophylactic or curative interventions are essentially aimed at nutrition and exercise. Although pharmaceutical agents are developed that target seve-ral biological pathways, proper nutrition and specific physical exercises remain the gold stan-dard for therapy. Through this review, we want to draw attention to the need to implement complex analyzes of the elderly patient, regardless of the acute problem with which he presents himself at the consultation. These analyses should contain tests, measurements, questionnaires that identify in time a possible musculoskeletal degeneration. The results did not show any sig-nificant difference between the perception of sarcopenia, the way of approaching it and the prophylactic or therapeutic treatment. We focused on this pathology because sarcopenia is rela-tively newly observed, defined, it is not fully investigated and a clinical skill has not been for-med for the evaluation of the elderly patient.
Keywords: Skeletal muscle, elderly, sarcopenia, degeneration, exercises
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Affiliation(s)
- Titus David Moga
- Dep. of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, Romania
| | - Ioana Moga
- Dep. of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, Romania
| | - Monica Sabau
- Dep. of Psycho Neuroscience and Recovery, Faculty of Medicine and Pharmacy, University of Oradea, Oradea 410028, Romania
| | - Carmen Delia Nistor-Cseppento
- Dep. of Psycho Neuroscience and Recovery, Faculty of Medicine and Pharmacy, University of Oradea, Oradea 410028, Romania
| | | | - Simona Cavalu
- Departament of Biophysics, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Roma-nia
| | - Bombonica Gabriela Dogaru
- Department of Medical Rehabilitation, Iuliu Hațieganu University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania, Clinical Rehabilitation Hospital, Cluj-Napoca, Romania
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Brzeszczynski F, Brzeszczynska J, Duckworth AD, Murray IR, Simpson AHRW, Hamilton DF. The effect of sarcopenia on outcomes following orthopaedic surgery : a systematic review. Bone Joint J 2022; 104-B:321-330. [PMID: 35227092 DOI: 10.1302/0301-620x.104b3.bjj-2021-1052.r1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
AIMS Sarcopenia is characterized by a generalized progressive loss of skeletal muscle mass, strength, and physical performance. This systematic review primarily evaluated the effects of sarcopenia on postoperative functional recovery and mortality in patients undergoing orthopaedic surgery, and secondarily assessed the methods used to diagnose and define sarcopenia in the orthopaedic literature. METHODS A systematic search was conducted in MEDLINE, EMBASE, and Google Scholar databases according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Studies involving sarcopenic patients who underwent defined orthopaedic surgery and recorded postoperative outcomes were included. The quality of the criteria by which a diagnosis of sarcopenia was made was evaluated. The quality of the publication was assessed using Newcastle-Ottawa Scale. RESULTS A total of 365 studies were identified and screened, 26 full-texts were reviewed, and 19 studies were included in the review. A total of 3,009 patients were included, of whom 2,146 (71%) were female and 863 (29%) were male. The mean age of the patients was 75.1 years (SD 7.1). Five studies included patients who underwent spinal surgery, 13 included hip or knee surgery, and one involved patients who underwent fixation of a distal radial fixation. The mean follow-up was 1.9 years (SD 1.9; 5 days to 5.6 years). There was wide heterogeneity in the measurement tools which were used and the parameters for the diagnosis of sarcopenia in the studies. Sarcopenia was associated with at least one deleterious effect on surgical outcomes in all 19 studies. The postoperative rate of mortality was reported in 11 studies (57.9%) and sarcopenia was associated with poorer survival in 73% (8/11) of these. The outcome was most commonly assessed using the Barthel Index (4/19), and sarcopenic patients recorded lower scores in 75% (3/4) of these. Sarcopenia was defined using the gold-standard three parameters (muscle strength, muscle quantity or quality, and muscle function) in four studies (21%), using two parameters in another four (21%) and one in the remaining 11 (58%). The methodological quality of the studies was moderate to high. CONCLUSION There is much heterogeneity in the reporting of the parameters which are used for the diagnosis of sarcopenia, and evaluating the outcome of orthopaedic surgery in sarcopenic patients. However, what data exist suggest that sarcopenia impairs recovery and increases postoperative mortality, especially in patients undergoing emergency surgery. Further research is required to develop processes that allow the accurate diagnosis of sarcopenia in orthopaedics, which may facilitate targeted pre- and postoperative interventions that would improve outcomes. Cite this article: Bone Joint J 2022;104-B(3):321-330.
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Affiliation(s)
- Filip Brzeszczynski
- Edinburgh Orthopaedics, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK
| | - Joanna Brzeszczynska
- Institute of Biomedical and Environmental Health Research, University of the West of Scotland, Paisley, UK.,Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | - Andrew D Duckworth
- Edinburgh Orthopaedics, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK.,Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Iain R Murray
- Edinburgh Orthopaedics, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK
| | - A Hamish R W Simpson
- Edinburgh Orthopaedics, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK.,Department of Orthopaedics and Trauma, University of Edinburgh, Edinburgh, UK
| | - David F Hamilton
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
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9
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Greco F, Mallio CA. Artificial intelligence and abdominal adipose tissue analysis: a literature review. Quant Imaging Med Surg 2021; 11:4461-4474. [PMID: 34603998 DOI: 10.21037/qims-21-370] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 06/01/2021] [Indexed: 12/12/2022]
Abstract
Body composition imaging relies on assessment of tissues composition and distribution. Quantitative data provided by body composition imaging analysis have been linked to pathogenesis, risk, and clinical outcomes of a wide spectrum of diseases, including cardiovascular and oncologic. Manual segmentation of imaging data allows to obtain information on abdominal adipose tissue; however, this procedure can be cumbersome and time-consuming. On the other hand, quantitative imaging analysis based on artificial intelligence (AI) has been proposed as a fast and reliable automatic technique for segmentation of abdominal adipose tissue compartments, possibly improving the current standard of care. AI holds the potential to extract quantitative data from computed tomography (CT) and magnetic resonance (MR) images, which in most of the cases are acquired for other purposes. This information is of great importance for physicians dealing with a wide spectrum of diseases, including cardiovascular and oncologic, for the assessment of risk, pathogenesis, clinical outcomes, response to treatments, and complications. In this review we summarize the available evidence on AI algorithms aimed to the segmentation of visceral and subcutaneous adipose tissue compartments on CT and MR images.
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Affiliation(s)
- Federico Greco
- U.O.C. Diagnostica per Immagini Territoriale Aziendale, Cittadella della Salute Azienda Sanitaria Locale di Lecce, Piazza Filippo Bottazzi, Lecce, Italy
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10
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Salinas-Miranda E, Deniffel D, Dong X, Healy GM, Khalvati F, O'Kane GM, Knox J, Bathe OF, Baracos VE, Gallinger S, Haider MA. Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable pancreatic cancer. Eur Radiol 2021; 31:8662-8670. [PMID: 33934171 DOI: 10.1007/s00330-021-07899-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 01/27/2021] [Accepted: 03/16/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Skeletal muscle mass is a prognostic factor in pancreatic ductal adenocarcinoma (PDAC). However, it remains unclear whether changes in body composition provide an incremental prognostic value to established risk factors, especially the Response Evaluation Criteria in Solid Tumors version 1.1 (RECISTv1.1). The aim of this study was to determine the prognostic value of CT-quantified body composition changes in patients with unresectable PDAC starting chemotherapy. METHODS We retrospectively evaluated 105 patients with unresectable (locally advanced or metastatic) PDAC treated with FOLFIRINOX (n = 64) or gemcitabine-based (n = 41) first-line chemotherapy within a multicenter prospective trial. Changes (Δ) in skeletal muscle index (SMI), subcutaneous (SATI), and visceral adipose tissue index (VATI) between pre-chemotherapy and first follow-up CT were assessed. Cox regression models and covariate-adjusted survival curves were used to identify predictors of overall survival (OS). RESULTS At multivariable analysis, adjusting for RECISTv1.1-response at first follow-up, ΔSMI was prognostic for OS with a hazard ratio (HR) of 1.2 (95% CI: 1.08-1.33, p = 0.001). No significant association with OS was observed for ΔSATI (HR: 1, 95% CI: 0.97-1.04, p = 0.88) and ΔVATI (HR: 1.01, 95% CI: 0.99-1.04, p = 0.33). At an optimal cutoff of 2.8 cm2/m2 per 30 days, the median survival of patients with high versus low ΔSMI was 143 versus 233 days (p < 0.001). CONCLUSIONS Patients with a lower rate of skeletal muscle loss at first follow-up demonstrated improved survival for unresectable PDAC, regardless of their RECISTv1.1-category. Assessing ΔSMI at the first follow-up CT may be useful for prognostication, in addition to routine radiological assessment. KEY POINTS • In patients with unresectable pancreatic ductal adenocarcinoma, change of skeletal muscle index (ΔSMI) in the early phase of chemotherapy is prognostic for overall survival, even after adjusting for Response Evaluation Criteria in Solid Tumors version 1.1 (RECISTv1.1) assessment at first follow-up. • Changes in adipose tissue compartments at first follow-up demonstrated no significant association with overall survival. • Integrating ΔSMI into routine radiological assessment may improve prognostic stratification and impact treatment decision-making at the first follow-up.
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Affiliation(s)
- Emmanuel Salinas-Miranda
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Joint Department of Medical Imaging, University Health Network, Sinai Health System and University of Toronto, Toronto, ON, Canada
| | - Dominik Deniffel
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Joint Department of Medical Imaging, University Health Network, Sinai Health System and University of Toronto, Toronto, ON, Canada.,Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Xin Dong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Gerard M Healy
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Joint Department of Medical Imaging, University Health Network, Sinai Health System and University of Toronto, Toronto, ON, Canada
| | - Farzad Khalvati
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Joint Department of Medical Imaging, University Health Network, Sinai Health System and University of Toronto, Toronto, ON, Canada
| | - Grainne M O'Kane
- Department of Medical Oncology & Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.,Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Jennifer Knox
- Department of Medical Oncology & Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.,Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Oliver F Bathe
- Departments of Surgery and Oncology, University of Calgary, Calgary, AB, Canada
| | - Vickie E Baracos
- Department of Oncology, University of Alberta, Edmonton, AB, Canada
| | - Steven Gallinger
- Ontario Institute for Cancer Research, Toronto, ON, Canada.,Hepatobiliary Pancreatic Surgical Oncology Program, University Health Network, Toronto, ON, Canada
| | - Masoom A Haider
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada. .,Joint Department of Medical Imaging, University Health Network, Sinai Health System and University of Toronto, Toronto, ON, Canada. .,Ontario Institute for Cancer Research, Toronto, ON, Canada.
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11
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Schaudinn A, Hudak A, Linder N, Reinhardt M, Stocker G, Lordick F, Denecke T, Busse H. Toward a Routine Assessment of Visceral Adipose Tissue Volume from Computed Tomographic Data. Obesity (Silver Spring) 2021; 29:294-301. [PMID: 33369246 DOI: 10.1002/oby.23061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/14/2020] [Accepted: 09/22/2020] [Indexed: 11/11/2022]
Abstract
OBJECTIVE The study's aim was to determine to what extent total visceral adipose tissue (VAT) volume (VVAT-T ) measured from segmented VAT areas (AVAT ) on all axial computed tomography (CT) sections (thickness of 5 mm) between the diaphragm and pelvic floor can be predicted by the AVAT of commonly selected landmark sections in patients with overweight or obesity. METHODS A total of 113 patients (31 females, 82 males) with images of full abdominopelvic coverage and proper image quality were included (BMI = 25.0-64.1 kg/m2 , 29.5 ± 4.9 kg/m2 ). Linear regression between AVAT and VVAT-T (reference) was used to determine approximate equations for VAT volume for all parameters (single sex, different anatomical landmarks or lumbar intervertebral disc spaces, one or five axial sections). Agreement was evaluated by the multivariate coefficient of determination and by the SD of the percentage difference (sd% ) between the estimated VAT volume on one or five sections and VVAT-T . RESULTS The VVAT-T was 0.9 to 8.4 (3.8 ± 2.2) L for females and 2.7 to 11.7 (5.6 ± 2.1) L for males. Best agreement was found at L2-3 (sd% = 14.3%-15.5%) for females and at L1-2 or L2-3 (11.7%-12.4%) for males. Agreement at the umbilicus or the femoral heads was poor (20.2%-57.9%). Segmentation of one or five sections was substantially faster (11/70 seconds) than whole-abdomen processing (15 minutes). CONCLUSIONS VVAT-T can be rapidly estimated by VAT segmentation of axial CT sections at sex-specific lumbar intervertebral disc spaces.
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Affiliation(s)
- Alexander Schaudinn
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
| | - Andrea Hudak
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
| | - Nicolas Linder
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
- Integrated Research and Treatment Center, Adiposity Diseases, Leipzig University Medical Center, Leipzig, Germany
| | - Martin Reinhardt
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
| | - Gertraud Stocker
- Leipzig University Cancer Center, Leipzig University Hospital, Leipzig, Germany
| | - Florian Lordick
- Leipzig University Cancer Center, Leipzig University Hospital, Leipzig, Germany
| | - Timm Denecke
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
| | - Harald Busse
- Department of Diagnostic and Interventional Radiology, Leipzig University Hospital, Leipzig, Germany
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12
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Relationship between visceral adipose tissue and genetic mutations (VHL and KDM5C) in clear cell renal cell carcinoma. Radiol Med 2021; 126:645-651. [PMID: 33400184 DOI: 10.1007/s11547-020-01310-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 11/15/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND The sequencing of the renal cell carcinoma (RCC) genome has detected several mutations with prognostic meaning. The association between visceral adipose tissue (VAT) and clear cell renal cell carcinoma (ccRCC) is well known. The relationship among abdominal adipose tissue distribution and ccRCC-VHL and KDM5C genetic mutations is, to the knowledge of the authors, not known. METHODS In this retrospective study, we enrolled 97 Caucasian male patients divided into three groups: the control group (n = 35), the ccRCC-VHL group (n = 52) composed of ccRCC patients with VHL mutations and ccRCC-KDM5C group (n = 10) composed of ccRCC patients with KDM5C mutation. Total adipose tissue (TAT) area, VAT area and subcutaneous adipose tissue (SAT) area were measured in the groups. VAT/SAT ratio was calculated for each subject. RESULTS Statistically significant differences between ccRCC-KDM5C group and ccRCC-VHL group were obtained for TAT area (p < 0.05), VAT area (p < 0.05) and VAT/SAT ratio (p < 0.05); between ccRCC-VHL group and control group for TAT area (p < 0.001) and VAT area (p < 0.01); and between ccRCC-KDM5C group and control group for TAT area (p < 0.0001), VAT area (p < 0.0001) and SAT area (p < 0.01). CONCLUSIONS This study demonstrates for the first time an increased amount of TAT, especially VAT, in the ccRCC-VHL and ccRCC-KDM5C groups. The effect was greater for the ccRCC-KDM5C group.
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13
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Greco F, Quarta LG, Grasso RF, Beomonte Zobel B, Mallio CA. Increased visceral adipose tissue in clear cell renal cell carcinoma with and without peritumoral collateral vessels. Br J Radiol 2020; 93:20200334. [PMID: 32516557 DOI: 10.1259/bjr.20200334] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVE The excessive amount of adipose tissue, mainly visceral, determines adiposopathy. With respect to oncogenesis, visceral adipose tissue (VAT) releases secretes adipokines, proinflammatory citokines and growth factors, considered mediating molecules in the development of obesity-related tumors. In this study, we quantify VAT in male patients with clear cell renal cell carcinoma (ccRCC) subgrouped according to the presence or absence of peritumoral collateral vessels. METHODS in this retrospective study, we enrolled 141 male caucasian patients divided into 2 groups: the ccRCC group (n = 106) composed of patients with ccRCC and control group (n = 35). The ccRCC group was further divided into two subgroups: the ccRCCa subgroup which showed absence of collateral vessels (n = 48) and ccRCCp subgroup with collateral vessels (n = 58).Total adipose tissue (TAT) area, VAT area and subcutaneous adipose tissue (SAT) area were measured in the groups and subgroups. VAT/SAT ratio was calculated for each subject. RESULTS Statistically significant differences were obtained between ccRCC group and control group for TAT area (p < 0.005), VAT area (p < 0.005) and SAT area (p = 0.01). Between ccRCCa subgroup and control group for TAT area (p < 0.001), VAT area (p = 0.005) and SAT area (p = 0.001). Between ccRCCp subgroup and control group for TAT area (p = 0.01) and VAT area (p = 0.01). CONCLUSION This study confirms the increase of abdominal, especially visceral, adipose tissue in ccRCC patients and demonstrates a significant VAT accumulation in both categories of patients with and without peritumoral collateral vessels. ADVANCES IN KNOWLEDGE Visceral adiposity is present in patients with ccRCC regardless the presence of peritumoral collateral vessels, with surprisingly stronger results in the ccRCCa subgroup.
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Affiliation(s)
- Federico Greco
- Diagnostica per Immagini Territoriale Aziendale, Cittadella della Salute Azienda Sanitaria Locale di Lecce, Piazza Filippo Bottazzi, 73100, Lecce, Italy
| | - Luigi Giuseppe Quarta
- Diagnostica per Immagini Territoriale Aziendale, Cittadella della Salute Azienda Sanitaria Locale di Lecce, Piazza Filippo Bottazzi, 73100, Lecce, Italy
| | - Rosario Francesco Grasso
- Unit of Diagnostic Imaging, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Rome, Italy
| | - Bruno Beomonte Zobel
- Unit of Diagnostic Imaging, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Rome, Italy
| | - Carlo Augusto Mallio
- Unit of Diagnostic Imaging, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Rome, Italy
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14
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Increased visceral adipose tissue in male patients with non-clear cell renal cell carcinoma. Radiol Med 2020; 125:538-543. [PMID: 32067162 DOI: 10.1007/s11547-020-01146-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 02/06/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND It is well known that there is a link between obesity and oncogenesis in many sites, including the kidney. Adiposopathy is characterized by an excessive accumulation of adipose tissue, principally visceral, which can lead to adipocyte and adipose tissue-related disorder, promoting metabolic syndrome. Visceral adipocytes secrete growth factors, proinflammatory cytokines and adipokines, regarded as mediating factors associated with the oncogenesis of obesity-related tumors. In this study, we evaluate the relationship between visceral adipose tissue (VAT) and non-clear cell renal cell carcinoma (nccRCC) in male patients. METHODS In this retrospective study, two groups were included: nccRCC group and control group. Total adipose tissue (TAT) area, VAT area and subcutaneous adipose tissue (SAT) area were measured in both groups. VAT/SAT ratio was subsequently calculated. RESULTS Statistically significant differences between the two groups were found in TAT area (p = 0.05), VAT area (p < 0.01) and VAT/SAT ratio (p < 0.05), while no significant difference was found in SAT area. CONCLUSIONS This study demonstrates an increased visceral adipose tissue in male patients with nccRCC.
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15
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Chuang WC, Tsang NM, Chuang CC, Chang KP, Pai PC, Chen KH, Chou WC, Tai SF, Liu SC, Lei KF. Association of subcutaneous and visceral adipose tissue with overall survival in Taiwanese patients with bone metastases - results from a retrospective analysis of consecutively collected data. PLoS One 2020; 15:e0228360. [PMID: 31999771 PMCID: PMC6992206 DOI: 10.1371/journal.pone.0228360] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 01/13/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Growing evidence indicates that measures of body composition may be related to clinical outcomes in patients with malignancies. The aim of this study was to investigate whether measures of regional adiposity-including subcutaneous adipose tissue index (SATI) and visceral adipose tissue index (VATI)-can be associated with overall survival (OS) in Taiwanese patients with bone metastases. METHODS This is a retrospective analysis of prospectively collected data. We examined 1280 patients with bone metastases who had undergone radiotherapy (RT) between March 2005 and August 2013. Body composition (SATI, VATI, and muscle index) was assessed by computed tomography at the third lumbar vertebra and normalized for patient height. Patients were divided into low- and high-adiposity groups (for both SATI and VATI) according to sex-specific median values. RESULTS Both SATI (hazard ratio [HR]: 0.696; P<0.001) and VATI (HR: 0.87; P = 0.037)-but not muscle index-were independently associated with a more favorable OS, with the former showing a stronger relationship. The most favorable OS was observed in women with high SATI (11.21 months; 95% confidence interval: 9.434-12.988; P<0.001). CONCLUSIONS High SATI and VATI are associated with a more favorable OS in Taiwanese patients with bone metastases referred for RT. The question as to whether clinical measures aimed at improving adiposity may improve OS in this clinical population deserves further scrutiny.
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Affiliation(s)
- Wen Ching Chuang
- Chang Gung University, Medicine, Taoyuan, Taiwan
- Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
| | - Ngan Ming Tsang
- Department of Radiation Oncology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
- School of Traditional Chinese Medicine, Chang Gung University, Taoyuan, Taiwan
- * E-mail:
| | - Chi Cheng Chuang
- Department of Neurosurgery, Chang Gung Memorial Hospital and University at Lin-Kou, Taoyuan, Taiwan
| | - Kai Ping Chang
- Department of Otolaryngology-Head Neck Surgery, Linkou Chang Gung Memorial Hospital and Chang Gung University at Lin-Kou, Taoyuan, Taiwan
| | - Ping Ching Pai
- Department of Radiation Oncology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Kuan Hung Chen
- Chang Gung University, Medicine, Taoyuan, Taiwan
- Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
| | - Wen Chi Chou
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital Linkou Branch, and School of Medicine, Chang Gung, Taoyuan, Taiwan
| | - Shiao Fwu Tai
- Department of Otorhinolaryngology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
| | - Shu Chen Liu
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan
| | - Kin Fong Lei
- Graduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan
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16
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Lee K, Shin Y, Huh J, Sung YS, Lee IS, Yoon KH, Kim KW. Recent Issues on Body Composition Imaging for Sarcopenia Evaluation. Korean J Radiol 2019; 20:205-217. [PMID: 30672160 PMCID: PMC6342757 DOI: 10.3348/kjr.2018.0479] [Citation(s) in RCA: 184] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 10/15/2018] [Indexed: 02/07/2023] Open
Abstract
Recently, sarcopenia has garnered renewed interest. Sarcopenia is a disease characterized by decreased skeletal muscle mass and strength/function, which can impair the quality of life and increase physical disability, adverse metabolic effects, and mortality. Imaging tools for evaluating and diagnosing sarcopenia have developed rapidly. Radiologists should be aware of sarcopenia and its clinical implications. We review current knowledge about sarcopenia, its pathophysiological impact, and advantages and disadvantages of methods for evaluation of sarcopenia focusing on body composition imaging modalities such as whole-body dual-energy X-ray absorptiometry, CT, and MRI. Controversial issues are discussed, including the lack of consensus and standardization of the disease definition, imaging modality, measurement methods, and diagnostic cutoff points.
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Affiliation(s)
- Koeun Lee
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yongbin Shin
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jimi Huh
- Department of Radiology, Ajou University School of Medicine & Graduate School of Medicine, Ajou University Medical Center, Suwon, Korea.
| | - Yu Sub Sung
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - In Seob Lee
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kwon Ha Yoon
- Department of Radiology, Wonkwang University College of Medicine, Wonkwang University Hospital, Iksan, Korea
| | - Kyung Won Kim
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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17
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Huo L, Li K, Deng W, Wang L, Xu L, Shaw JE, Jia P, Zhou D, Cheng XG. Optimal cut-points of visceral adipose tissue areas for cardiometabolic risk factors in a Chinese population: a cross-sectional study. Diabet Med 2019; 36:1268-1275. [PMID: 31257674 DOI: 10.1111/dme.14060] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/28/2019] [Indexed: 12/13/2022]
Abstract
AIM To determine the optimal cut-points of visceral adipose tissue (VAT) areas at different anatomic levels to discriminate participants with cardiometabolic risk factors in a Chinese middle-aged population. METHODS A total of 1744 individuals who underwent regular health checks in Nanjing BENQ Medical Center from January 2013 to December 2016 were included in this cross-sectional study. VAT areas were measured by abdominal quantitative computed tomography at the L2/3 intervertebral disk and umbilicus levels. Cardiometabolic risk factors including serum triglycerides, HDL cholesterol levels, plasma glucose and blood pressure were defined using IDF 2005 criteria for metabolic syndrome. RESULTS The cut-points for VAT area at the umbilicus level were 111 cm2 for men and 96 cm2 for women to identify people with one or more cardiometabolic risk factors. For VAT area at the L2/3 level, the optimal cut-points were 142 cm2 for men and 115 cm2 for women. A VAT area at the L2/3 level of ≥ 142 cm2 for men or 115 cm2 for women significantly increased the prevalence of hyperglycaemia [odds ratio (OR) 3.18, 95% confidence interval (CI) 2.45-4.13], hypertension (OR 2.81, 95% CI 2.27-3.49) and dyslipidaemia (OR 4.37, 95% CI 3.50-5.45) after adjusting age. CONCLUSIONS The optimal cut-points for VAT area at the umbilicus level and L2/3 level were 111 cm2 and 142 cm2 for men and 96 cm2 and 115 cm2 for women to identify participants with one or more cardiometabolic risk factors.
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Affiliation(s)
- L Huo
- Department of Endocrinology, Beijing Jishuitan Hospital, Beijing, China
| | - K Li
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - W Deng
- Department of Endocrinology, Beijing Jishuitan Hospital, Beijing, China
| | - L Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - L Xu
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - J E Shaw
- Department of Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - P Jia
- Department of Radiology, Nanjing BENQ Medical Center, Nanjing, China
| | - D Zhou
- Department of Radiology, Nanjing BENQ Medical Center, Nanjing, China
| | - X G Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
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