ArticleKorean journal of radiology2021
Automated CT-Based Body Composition Analysis: A Golden Opportunity.
Article in Korean journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Future of CT body composition research: Methodological discrepancies and advances.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026Review
- Hierarchical organ aging signatures from routine abdominal CT add incremental disease risk stratification beyond blood biomarkers.medRxiv : the preprint server for health sciences · 2026Article
- Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans.Abdominal radiology (New York) · 2026Article
- Relevance of advanced imaging analysis units in radiology departments: a narrative review.International journal of computer assisted radiology and surgery · 2026Review
- Article
- Abdominal CT-derived metabolic phenotypes are associated with the MRI-derived brain age gap in women.Frontiers in aging neuroscience · 2026Article
- Effects of Computed Tomography Technical Parameters on Body-Composition Analysis.Korean journal of radiology · 2025Review
- Methodology for a fully automated pipeline of AI-based body composition tools for abdominal CT.Abdominal radiology (New York) · 2025Article
- 3D deep learning-based muscle volume quantification from thoracic CT as a surrogate for DXA-Derived appendicular muscle mass in older adults.Aging clinical and experimental research · 2025Article
- Article
- Implementation of Fully Automated AI-Integrated System for Body Composition Assessment on Computed Tomography for Opportunistic Sarcopenia Screening: Multicenter Prospective Study.JMIR formative research · 2025Article
- Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection.Scientific reports · 2025Article
- The Impact of Radiation Dose on CT-Based Body Composition Analysis: A Large-Animal Study.Journal of cachexia, sarcopenia and muscle · 2025Article
- Emergency Radiology: Current Status and Recent Advances.Korean journal of radiology · 2025Article
- Skeletal Muscle Measurements Based on Abdominal Computerized Tomography (CT) Predict Risk of Osteoporosis in Incident Hemodialysis Patients.Journal of clinical medicine · 2024Article
- Artificial Intelligence-Driven Volumetric Analysis of Muscle Mass as a Predictor of Tumor Response to Neoadjuvant Chemoradiotherapy in Patients with Rectal Cancer.Journal of clinical medicine · 2024Article
- Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging-A Systematic Review.Cancers · 2024Review
- The Relationship of Pathological Response and Visceral Muscle and Fat Volume in Women With Breast Cancer Who Received Neoadjuvant Chemotherapy.European journal of breast health · 2024Article
- AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individuals.Abdominal radiology (New York) · 2024Article
- Abdominal Body Composition Reference Ranges and Association With Chronic Conditions in an Age- and Sex-Stratified Representative Sample of a Geographically Defined American Population.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
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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.