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 …

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 …

[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 …

[HTML][HTML] What is the role of body composition assessment in HCC management?

P Radu, M Ebadi, AJ Montano-Loza, JF Dufour - Cancers, 2022 - mdpi.com
Simple Summary Recent advances in evaluating nutritional status showed that body mass
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 …

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 …

[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) …

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 segmentation of connective tissue compartments for CT-based body composition analysis: a deep learning approach

S Nowak, A Faron, JA Luetkens, HL Geißler… - Investigative …, 2020 - journals.lww.com
Objective Body composition comprises prognostic information in patients with various
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 …