Role of machine learning-based CT body composition in risk prediction and prognostication: current state and future directions
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 …
and has the potential to improve patient outcomes if implemented clinically. Recent …
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 …
body composition measures are well established in research settings as prognostic markers …
[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 …
factor for health outcomes across cancer, liver cirrhosis, and critically ill patients. Computed …
Comp2comp: Open-source body composition assessment on computed tomography
Computed tomography (CT) is routinely used in clinical practice to evaluate a wide variety of
medical conditions. While CT scans provide diagnoses, they also offer the ability to extract …
medical conditions. While CT scans provide diagnoses, they also offer the ability to extract …
Utility of normalized body composition areas, derived from outpatient abdominal CT using a fully automated deep learning method, for predicting subsequent …
Please see the Editorial Comment by Andrew D. Smith discussing this article. To listen to the
podcast associated with this article, please select one of the following: iTunes, Google Play …
podcast associated with this article, please select one of the following: iTunes, Google Play …
Population-scale CT-based body composition analysis of a large outpatient population using deep learning to derive age-, sex-, and race-specific reference curves
Background Although CT-based body composition (BC) metrics may inform disease risk and
outcomes, obtaining these metrics has been too resource intensive for large-scale use …
outcomes, obtaining these metrics has been too resource intensive for large-scale use …
Automated body composition analysis of clinically acquired computed tomography scans using neural networks
MT Paris, P Tandon, DK Heyland, H Furberg, T Premji… - Clinical Nutrition, 2020 - Elsevier
Background & aims The quantity and quality of skeletal muscle and adipose tissue is an
important prognostic factor for clinical outcomes across several illnesses. Clinically acquired …
important prognostic factor for clinical outcomes across several illnesses. Clinically acquired …
Artificial intelligence-aided CT segmentation for body composition analysis: a validation study
Background Body composition is associated with survival outcome in oncological patients,
but it is not routinely calculated. Manual segmentation of subcutaneous adipose tissue (SAT) …
but it is not routinely calculated. Manual segmentation of subcutaneous adipose tissue (SAT) …
Fully-automated analysis of body composition from CT in cancer patients using convolutional neural networks
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 …
correlated with cancer risks, cancer survival, and cardiovascular risk. The current gold …
[HTML][HTML] Automated CT-based body composition analysis: a golden opportunity
PJ Pickhardt, RM Summers… - Korean Journal of …, 2021 - ncbi.nlm.nih.gov
Accepted: October 7, 2021 Corresponding author: Perry J. Pickhardt, MD, Department of
Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical …
Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical …