Body composition in chemotherapy: the promising role of CT scans
CMM Prado - Current Opinion in Clinical Nutrition & Metabolic …, 2013 - journals.lww.com
Computerized tomography scans are readily available in clinical databases of diagnostic
images and provide feasible, reliable, and highly differentiated measurements of body …
images and provide feasible, reliable, and highly differentiated measurements of body …
Quantification of body composition in renal cell carcinoma patients: comparing computed tomography and magnetic resonance imaging measurements
MI Higgins, DJ Martini, DH Patil, S Steele… - European Journal of …, 2020 - Elsevier
Purpose Body composition measures provide valuable information for prognostication and
treatment election in cancer patients. We investigated the novel use of magnetic resonance …
treatment election in cancer patients. We investigated the novel use of magnetic resonance …
[HTML][HTML] Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resection
G van der Kroft, L Wee, SS Rensen… - Frontiers in …, 2023 - frontiersin.org
Background Computerized radiological image analysis (radiomics) enables the
investigation of image-derived phenotypes by extracting large numbers of quantitative …
investigation of image-derived phenotypes by extracting large numbers of quantitative …
[HTML][HTML] What is the role of body composition assessment in HCC management?
Simple Summary Recent advances in evaluating nutritional status showed that body mass
index is an inaccurate tool for assessing nutritional status. Furthermore, emerging data …
index is an inaccurate tool for assessing nutritional status. Furthermore, emerging data …
Deep learning‐based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer
J Keyl, R Hosch, A Berger, O Ester… - Journal of cachexia …, 2023 - Wiley Online Library
Background Personalized therapy planning remains a significant challenge in advanced
colorectal cancer care, despite extensive research on prognostic and predictive markers. A …
colorectal cancer care, despite extensive research on prognostic and predictive markers. A …
The impact of muscle and adipose tissue on long-term survival in patients with stage I to III colorectal cancer
JJ Hopkins, RL Reif, DL Bigam… - Diseases of the Colon …, 2019 - journals.lww.com
BACKGROUND: Computed tomography-derived body composition parameters are
emerging prognostic factors in colorectal cancer. OBJECTIVE: This study aimed to …
emerging prognostic factors in colorectal cancer. OBJECTIVE: This study aimed to …
[HTML][HTML] Body composition assessment: Comparison of quantitative values between magnetic resonance imaging and computed tomography
C Zaffina, R Wyttenbach, A Pagnamenta… - … imaging in medicine …, 2022 - ncbi.nlm.nih.gov
Background The primary objective of this study was to compare measurements of skeletal
muscle index (SMI), visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) …
muscle index (SMI), visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) …
Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation
D Zopfs, K Bousabarah, S Lennartz… - European Journal of …, 2020 - Elsevier
Purpose Aim of this study was to develop and evaluate a software toolkit, which allows for a
fully automated body composition analysis in contrast enhanced abdominal computed …
fully automated body composition analysis in contrast enhanced abdominal computed …
Fully automated segmentation of connective tissue compartments for CT-based body composition analysis: a deep learning approach
Objective Body composition comprises prognostic information in patients with various
malignancies and can be opportunistically determined from routine computed tomography …
malignancies and can be opportunistically determined from routine computed tomography …
[HTML][HTML] A deep learning model based on the attention mechanism for automatic segmentation of abdominal muscle and fat for body composition assessment
H Shen, P He, Y Ren, Z Huang, S Li… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Quantitative muscle and fat data obtained through body composition analysis
are expected to be a new stable biomarker for the early and accurate prediction of treatment …
are expected to be a new stable biomarker for the early and accurate prediction of treatment …