Radiomics modelling in rectal cancer to predict disease-free survival: evaluation of different approaches.

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Abstract

Radiomics may be useful in rectal cancer management. The aim of this study was to assess and compare different radiomics approaches over qualitative evaluation to predict disease-free survival (DFS) in patients with locally advanced rectal cancer treated with neoadjuvant therapy.

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Journal

Journal ID (iso-abbrev): Br J Surg

Title: The British journal of surgery

Publisher: Oxford University Press (OUP)

ISSN (Electronic): 1365-2168

ISSN (Print): 0007-1323

Publication date (Electronic): October 23 2021

Volume: 108

Issue: 10

Affiliations

[1 ] Radiology Department, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France.

[2 ] Institut de Recherche en Cancérologie de Montpellier, INSERM, U1194, Montpellier, France.

[3 ] Surgical Oncology Department, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France.

[4 ] Departmental Faculty of Medicine and Surgery, Unit of Diagnostic Imaging and Interventional Radiology, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

[5 ] Augmented Intelligence and Precision Health Laboratory (AIPHL), Department of Radiology and the Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.

Article

Publisher Item ID: 6356254

DOI: 10.1093/bjs/znab191

PubMed ID: 34423347

SO-VID: 14bc9315-6bcd-47c8-a4f0-481f5035f4f2

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