Validation of an automated segmentation method for body composition analysis in colorectal cancer patients using diagnostic abdominal computed tomography images-Reference-Cited by-同舟云学术

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Validation of an automated segmentation method for body composition analysis in colorectal cancer patients using diagnostic abdominal computed tomography images

Published:2024-10 Issue: Volume:63 Page:659-667
ISSN:2405-4577
Container-title:Clinical Nutrition ESPEN
language:en
Short-container-title:Clinical Nutrition ESPEN

Author:

Querido Nadira R.^ORCID,Bours Martijn J.L.,Brecheisen Ralph,Valkenburg-van Iersel Liselot,Breukink Stephanie O.,Janssen-Heijnen Maryska L.G.,Keulen Eric T.P.,Konsten Joop L.M.,de Vos-Geelen Judith,Weijenberg Matty P.,Simons Colinda C.J.M.

Funder

Dutch Cancer Society

Wereld Kanker Onderzoek Fonds

Kankeronderzoekfonds Limburg

Publisher

Elsevier BV

Reference37 articles.

1. Contemporary methods of body composition measurement;Fosbøl;Clin Physiol Funct Imag,2015

2. The role of body composition evaluation by computerized tomography in determining colorectal cancer treatment outcomes: a systematic review;Malietzis;Eur J Surg Oncol,2015

3. Sarcobesity index predicts poor disease-specific survival after resection for colorectal cancer;Conti;J Surg Res,2022

4. Body composition as an independent determinant of 5-fluorouracil–based chemotherapy toxicity;Prado;Clin Cancer Res,2007

5. Low radiographic muscle density is associated with lower overall and disease-free survival in early-stage colorectal cancer patients;van Baar;J Cancer Res Clin Oncol,2018

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