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

Authors

null

Haruka Itakura

Stanford University School of Medicine, Stanford, CA

Haruka Itakura , Qinmei Xu , Diego Toesca , Lucas Vitzthum , Arash Jamalian , Emil Schueler , Emel Alkim , J Richelcyn Baclay , Daniel Tandel Chang , George A. Fisher Jr.

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

2024 ASCO Breakthrough

Session Type

Poster Session

Session Title

Poster Session A

Track

Gastrointestinal Cancer,Central Nervous System Tumors,Developmental Therapeutics,Genitourinary Cancer,Quality of Care,Healthcare Equity and Access to Care,Population Health,Viral-Mediated Malignancies

Sub Track

Omics for precision medicine

Citation

J Clin Oncol 42, 2024 (suppl 23; abstr 74)

DOI

10.1200/JCO.2024.42.23_suppl.74

Abstract #

74

Poster Bd #

E6

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

Poster

2024 ASCO Breakthrough

Clinical determinants of survival in patients with stage II-III pancreatic cancer.

Clinical determinants of survival in patients with stage II-III pancreatic cancer.

First Author: Haruka Itakura

First Author: Xiangdong Li