AIMC Topic: Body Composition
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AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individuals.
Abdominal radiology (New York)
Jan 27, 2024
PURPOSE: To evaluate the relationship between socioeconomic disadvantage using national area deprivation index (ADI) and CT-based body composition measures derived from fully automated artificial intelligence (AI) tools to identify body composition m...
Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study.
ESMO open
Jan 8, 2024
BACKGROUND: Despite the prognostic relevance of cachexia in pancreatic cancer, individual body composition has not been routinely integrated into treatment planning. In this multicenter study, we investigated the prognostic value of sarcopenia and my...
Comparing fully automated AI body composition measures derived from thin and thick slice CT image data.
Abdominal radiology (New York)
Dec 29, 2023
PURPOSE: To compare fully automated artificial intelligence body composition measures derived from thin (1.25 mm) and thick (5 mm) slice abdominal CT data.
Body composition radiomic features as a predictor of survival in patients with non-small cellular lung carcinoma: A multicenter retrospective study.
Nutrition (Burbank, Los Angeles County, Calif.)
Dec 24, 2023
OBJECTIVES: This study combined two novel approaches in oncology patient outcome predictions-body composition and radiomic features analysis. The aim of this study was to validate whether automatically extracted muscle and adipose tissue radiomic fea...
Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass.
European journal of clinical nutrition
Dec 23, 2023
Currently available anthropometric body composition prediction equations were often developed on small participant samples, included only several measured predictor variables, or were prepared using conventional statistical regression methods. Machin...
Validation of a Novel Perceptual Body Image Assessment Method Using Mobile Digital Imaging Analysis: A Cross-Sectional Multicenter Evaluation in a Multiethnic Sample.
Behavior therapy
Sep 9, 2023
Given that mobile digital imaging analyses (DIA) are equipped to automate body composition and subsequently alter one's appearance at a given objective body fat percent (BF%), the purpose of this study was to validate the use of this tool for assessm...
Early prediction of body composition parameters on metabolically unhealthy in the Chinese population via advanced machine learning.
Frontiers in endocrinology
Aug 29, 2023
BACKGROUND: Metabolic syndrome (Mets) is considered a global epidemic of the 21st century, predisposing to cardiometabolic diseases. This study aims to describe and compare the body composition profiles between metabolic healthy (MH) and metabolic un...
Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity.
Frontiers in endocrinology
Jun 26, 2023
OBJECTIVE: a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT images), to estimate in kilograms (Kg) the body composition (BC) in patients with obesity (PwO), by comparison with Dual-energy X-ray absorptiometry (DX...
Body composition predicts hypertension using machine learning methods: a cohort study.
Scientific reports
Apr 27, 2023
We used machine learning methods to investigate if body composition indices predict hypertension. Data from a cohort study was used, and 4663 records were included (2156 were male, 1099 with hypertension, with the age range of 35-70 years old). Body ...
Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects.
European radiology
Mar 29, 2023
OBJECTIVES: The objective of this study was to translate a deep learning (DL) approach for semiautomated analysis of body composition (BC) measures from standard of care CT images to investigate the prognostic value of BC in pediatric, adolescent, an...
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