ArticleMedicine2019
Semiautomatic software for measurement of abdominal muscle and adipose areas using computed tomography: A STROBE-compliant article.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Association of body composition and nutritional status with survival in stage IV colorectal cancer patients who underwent resection: a retrospective cohort study.Annals of surgical treatment and research · 2026Article
- Skeletal muscle abnormalities negatively linked to sleep disturbances in patients with liver cirrhosis: a cross-sectional study.European journal of medical research · 2025Article
- Body composition as a potential biomarker of recurrence risk in patients with triple-negative breast cancer.Breast cancer research and treatment · 2025Article
- Abdominal subcutaneous fat area can predict 2-year survival in patients with end-stage renal disease initiating hemodialysis.PloS one · 2025Article
- Overlap between body composition abnormalities and sex-specific prognostication in decompensated cirrhosis.Frontiers in nutrition · 2025Article
- Body composition as a novel biomarker of recurrence risk in patients with triple-negative breast cancer.Research square · 2024Article
- Skeletal Muscle Measurements Based on Abdominal Computerized Tomography (CT) Predict Risk of Osteoporosis in Incident Hemodialysis Patients.Journal of clinical medicine · 2024Article
- Accelerated muscle mass estimation from CT images through transfer learning.BMC medical imaging · 2024Article
- A sex-oriented analysis concerning skeletal muscle quantity and quality and associations to quality of life in hospitalized patients with cirrhosis.Health and quality of life outcomes · 2024Article
- Assessing Patients beyond the Simple Optics of BMI: The Concomitant Role of Sarcopenia and BMI in Predicting Kidney Transplant Outcomes.Life (Basel, Switzerland) · 2024Article
- Prognostic Role of Pre-Treatment Body Composition Parameters in Patients Undergoing First-Line Immunotherapy for Metastatic Renal Cell Carcinoma.Cancer management and research · 2024Article
- Functional Gastrointestinal Disorders and Abdominal Visceral Fat in Children and Adolescents.Pediatric gastroenterology, hepatology & nutrition · 2023Article
- Article
- Body composition index obtained by using a bioelectrical impedance analysis device can be a predictor of prolonged operative time in patients undergoing minimally invasive colorectal surgery.Annals of coloproctology · 2023Article
- Albumin-myosteatosis gauge as a novel prognostic risk factor in patients with non-metastatic colorectal cancer.Journal of cachexia, sarcopenia and muscle · 2023Article
- Fat Loss in Patients with Metastatic Clear Cell Renal Cell Carcinoma Treated with Immune Checkpoint Inhibitors.International journal of molecular sciences · 2023Article
- Prognostic significance of cachexia index in patients with advanced hepatocellular carcinoma treated with systemic chemotherapy.Scientific reports · 2022Article
- Utility of handgrip strength (HGS) and bioelectrical impedance analysis (BIA) in the diagnosis of sarcopenia in cirrhotic patients.BMC gastroenterology · 2022Article
- Association of Sarcopenia and Expression of Interleukin-16 in Gastric Cancer Survival.Nutrients · 2022Article
- Impact of Skeletal Muscle Loss and Visceral Obesity Measured Using Serial CT on the Prognosis of Operable Breast Cancers in Asian Patients.Korean journal of radiology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the study was to introduce our in-house software to measure the muscle and adipose area on axial computed tomography (CT) scans and to compare with various quantification methods.Our institutional review board approved this retrospective study and informed consent was waived. We developed in-house software to identify body composition analysis on CT scan, which semiautomatically operates 3 image processing steps. Abdominal images were obtained using multidetector row CT (MDCT). Two radiologists analyzed the same cross-sectional areas of subcutaneous fat, muscle, and visceral fat using the following techniques: manual measurements, Aquarius, ImageJ, and our newly developed software. We calculated an intraclass correlation coefficient (ICC) for comparison of muscle and fat areas quantified by various measurement methods using a 2-way random model. Interobserver agreement between the radiologists was also evaluated.Agreements in the measurement of subcutaneous fat and muscle areas were excellent among the methods (ICC = 0.962 and 0.897, respectively), and that of the visceral fat area was good (ICC = 0.822). In the subgroup analysis, ICC of the visceral fat area in the female group and in subjects with ascites was slightly lower than the other group (ICC = 0.742 and 0.787, respectively). The correlation coefficients between our software and other methods were relatively high (r = 0.854-0.996). Additionally, ICCs between both observers of our program for quantification of subcutaneous fat, muscle, and visceral fat areas were 0.999, 0.980, and 0.999, respectively.In conclusion, our method showed be reliable in quantifying muscle and adipose tissue using cross-sectional areas of MDCT with high reproducibility.
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