Radiomic-based models are able to predict the pathologic response to different neoadjuvant chemotherapy regimens in patients with gastric and gastroesophageal cancer: a cohort study

Abstract Background There is a clinical need to identify early predictors for response to neoadjuvant chemotherapy (NAC) in patients with gastric and gastroesophageal junction cancer (GC and GEJC). Radiomics involves extracting quantitative features from medical images. This study aimed to apply rad...

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Bibliographic Details

Published in:	World Journal of Surgical Oncology
Main Authors:	Annamaria Agnes, Luca Boldrini, Federica Perillo, Huong Elena Tran, Maria Gabriella Brizi, Riccardo Ricci, Jacopo Lenkowicz, Claudio Votta, Alberto Biondi, Riccardo Manfredi, Vincenzo Valentini, Domenico M. D’Ugo, Roberto Persiani
Format:	Article
Language:	English
Published:	BMC 2025-05-01
Subjects:	Gastric cancer Radiomics Neoadjuvant therapy Predictive models Precision oncology
Online Access:	https://doi.org/10.1186/s12957-025-03828-9