ArticleArchives of endocrinology and metabolism2020
Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults.
Article in Archives of endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Exploring Adipose Tissue Behavior in CT: Impact of Age, Sex, and Contrast Media on Body Composition, Liver and Skeletal Muscle.Journal of imaging · 2026Article
- Sex-specific patterns of skeletal muscle aging at the L3 level: a quantitative study based on opportunistic CT.BMC musculoskeletal disorders · 2026Article
- Integration of sarcopenia screening into radiotherapy planning: Validation of a time-efficient SMI measurement method using MIM software in prostate cancer.Journal of applied clinical medical physics · 2026Article
- Intermuscular adipose tissue affected muscle density more than intramuscular adipose tissue content with opportunistic screening at abdominal CT.Scientific reports · 2025Article
- A multidimensional analysis of the impact of obesity on immune checkpoint inhibitor therapy efficacy.Cancer cell international · 2024Article
- Opportunistic Screening of Bone Fragility Using Computed Tomography.Seminars in musculoskeletal radiology · 2024Review
- A Cross-Sectional Validation of Horos and CoreSlicer Software Programs for Body Composition Analysis in Abdominal Computed Tomography Scans in Colorectal Cancer Patients.Diagnostics (Basel, Switzerland) · 2024Article
- Fat Hounsfield Unit Reference Interval Derived through an Indirect Method.Diagnostics (Basel, Switzerland) · 2023Article
- R-CSS: A clinically applicable score to classify cachexia stages in patients with cancer undergoing intensity-modulated radiation therapy.Asia-Pacific journal of oncology nursing · 2023Article
- Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity.Frontiers in endocrinology · 2023Article
- The effect of computed tomography parameters on sarcopenia and myosteatosis assessment: a scoping review.Journal of cachexia, sarcopenia and muscle · 2022Article
- A comparison of CT-body composition measurements in non-cancer and cancer patients from a single UK centre.Journal of frailty, sarcopenia and falls · 2022Article
- Automated versus manual analysis of body composition measures on computed tomography in patients with bladder cancer.European journal of radiology · 2022Article
- Visceral Obesity in Non-Small Cell Lung Cancer.Cancers · 2022Article
- Validation of a Semiautomatic Image Analysis Software for the Quantification of Musculoskeletal Tissues.Calcified tissue international · 2022Article
- Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.