How accurately can clinicians predict the Oncotype DX DCIS score?

Authors

null

Sarah Patricia Cate

Beth Israel Medical Center, New York, NY

Sarah Patricia Cate , Alyssa Gillego , Manjeet Chadha , John Rescigno , Paul R. Gliedman , Agnes Radzio , Susan K. Boolbol

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

2013 Breast Cancer Symposium

Session Type

Poster Session

Session Title

General Poster Session B

Track

Survivorship and Health Policy,Systemic Therapy

Sub Track

Ductal Carcinoma In Situ

Citation

J Clin Oncol 31, 2013 (suppl 26; abstr 90)

DOI

10.1200/jco.2013.31.26_suppl.90

Abstract #

90

Poster Bd #

B10

Abstract Disclosures

Similar Posters

First Author: Bethany Waites

Poster

2021 ASCO Annual Meeting

AI-based imaging biomarker in mammography for prediction of tumor invasiveness.

AI-based imaging biomarker in mammography for prediction of tumor invasiveness.

First Author: Hyeonseob Nam

Poster

2021 ASCO Annual Meeting

Representation trends in radiation oncology training programs in the United States.

Representation trends in radiation oncology training programs in the United States.

First Author: Emilie Garcia

Poster

2021 ASCO Annual Meeting

Racial and ethnic representation trends in United States oncology training programs.

Racial and ethnic representation trends in United States oncology training programs.

First Author: Conner Lombardi