Delta radiomic parameters for the evaluation of liver metastases in patients with colorectal cancer treated with cetuximab rechallenge plus avelumab in the CAVE mCRC study.

Authors

null

Giulia Martini

Oncologia Medica, Dipartimento di Medicina di Precisione, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy;

Giulia Martini , Valerio Nardone , Davide Ciardiello , Marco De Chiara , Teresa Troiani , Luca D'ambrosio , Stefania Napolitano , Claudia Cardone , Chiara Cremolini , Filippo Pietrantonio , Evaristo Maiello , Antonio Avallone , Salvatore Cappabianca , Fortunato Ciardiello , Alfonso Reginelli , Erika Martinelli

Sign-In to See More Abstracts, Journal Articles, Posters, Videos and Slides and to Bookmark Your Favorite Content.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Poster Details

Meeting

2023 ASCO Gastrointestinal Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session C: Cancers of the Colon, Rectum, and Anus

Track

Colorectal Cancer,Anal Cancer

Sub Track

Tumor Biology, Biomarkers, and Pathology

Citation

J Clin Oncol 41, 2023 (suppl 4; abstr 241)

DOI

10.1200/JCO.2023.41.4_suppl.241

Abstract #

241

Poster Bd #

N3

Abstract Disclosures

Similar Posters

Poster

2024 ASCO Gastrointestinal Cancers Symposium

Predicting rapid progression and overall survival in stage II-III pancreatic cancer using a CT-based radiomic signature.

Predicting rapid progression and overall survival in stage II-III pancreatic cancer using a CT-based radiomic signature.

First Author: Qinmei Xu

First Author: Laurent Dercle

Poster

2012 Gastrointestinal Cancers Symposium

CD133 status influences in prognosis of patients with metastatic colorectal cancer receiving cetuximab.

CD133 status influences in prognosis of patients with metastatic colorectal cancer receiving cetuximab.

First Author: Dai Inoue

Poster

2024 ASCO Breakthrough

Utility of radiomic features in predicting clinical outcomes in stage II-III pancreatic cancer.

Utility of radiomic features in predicting clinical outcomes in stage II-III pancreatic cancer.

First Author: Haruka Itakura