CT-derived body composition assessment as a prognostic tool in oncologic patients: from opportunistic research to artificial intelligence–based clinical implementation

DDB Bates, PJ Pickhardt - American Journal of …, 2022 - Am Roentgen Ray Soc
Please see the Editorial Comment by James S. Jelinek discussing this article. CT-based
body composition measures are well established in research settings as prognostic markers …

A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care

M Mourtzakis, CMM Prado, JR Lieffers… - Applied Physiology …, 2008 - cdnsciencepub.com
Human body composition is important in numerous cancer research domains. Our objective
was to evaluate clinically accessible methods to achieve practical and precise measures of …

[HTML][HTML] Role of machine learning-based CT body composition in risk prediction and prognostication: current state and future directions

T Elhakim, K Trinh, A Mansur, C Bridge, D Daye - Diagnostics, 2023 - mdpi.com
CT body composition analysis has been shown to play an important role in predicting health
and has the potential to improve patient outcomes if implemented clinically. Recent …

Utility of fully automated body composition measures on pretreatment abdominal CT for predicting survival in patients with colorectal cancer

MH Lee, SG Pickhardt, JW Garrett… - American Journal of …, 2023 - Am Roentgen Ray Soc
Please see the Editorial Comment by Hyun Soo Ko discussing this article. BACKGROUND.
CT examinations contain opportunistic body composition data with potential prognostic …

Comparing fully automated AI body composition measures derived from thin and thick slice CT image data

MH Lee, D Liu, JW Garrett, A Perez, R Zea… - Abdominal …, 2024 - Springer
Purpose To compare fully automated artificial intelligence body composition measures
derived from thin (1.25 mm) and thick (5 mm) slice abdominal CT data. Methods In this …

Computed tomography–based body composition analysis and its role in lung cancer care

AS Troschel, FM Troschel, TD Best… - Journal of thoracic …, 2020 - journals.lww.com
Body composition analysis, also referred to as analytic morphomics, morphomics, or
morphometry, describes the measurement of imaging biomarkers of body composition such …

Computed tomography-derived body composition analysis in patients with advanced cancer: clinical utility and future research

T Abbass, RD Dolan, DC McMillan - Current opinion in supportive …, 2020 - journals.lww.com
There has been an explosion of clinical research interest in CT-derived body composition
analysis. Such body composition analysis provides important host phenotype information …

Fully-automated analysis of body composition from CT in cancer patients using convolutional neural networks

CP Bridge, M Rosenthal, B Wright, G Kotecha… - OR 2.0 Context-Aware …, 2018 - Springer
The amounts of muscle and fat in a person's body, known as body composition, are
correlated with cancer risks, cancer survival, and cardiovascular risk. The current gold …

[HTML][HTML] Body composition analysis of computed tomography scans in clinical populations: the role of deep learning

MT Paris - Lifestyle genomics, 2020 - karger.com
Background: Body composition is increasingly being recognized as an important prognostic
factor for health outcomes across cancer, liver cirrhosis, and critically ill patients. Computed …

The emerging role of computerized tomography in assessing cancer cachexia

CMM Prado, LA Birdsell… - Current opinion in …, 2009 - journals.lww.com
The emerging role of computerized tomography in assessing ca... : Current Opinion in
Supportive and Palliative Care The emerging role of computerized tomography in …