Work

Toward precision prognosis: Predicting recurrence-free survival in high-grade serous ovarian cancer patients using multi-time point clinical and computed tomography radiomics data

Year: 2026

Type: article

Study design: Observational Study

Source: Gynecologic Oncology

DOI: 10.1016/j.ygyno.2026.06.007

Authors: Lauren Roller, Ningxuan Zhou, Isha Atre, Niya Xiong, Jiafei Li, Su-Chun Cheng, Natalie Liu, Danniele Lacad, Michie Adjei, Ursula A. Matulonis, Panagiotis A. Konstantinopoulos, Joyce F. Liu, Nabihah Tayob, Elizabeth H. Stover, Atul B. Shinagare

Institutions: Brigham and Women's Hospital, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Harvard University, Dana-Farber/Harvard Cancer Center

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Breast Cancer Research Foundation, Universidad Autónoma de Madrid, National Cancer Institute

Awards: The roles of anti-apoptotic proteins BCL-XL and MCL1 in mediating survival of high-grade serous ovarian cancer following drug-induced DNA damage, Targeting Replication Stress and DNA Damage Response in Uterine Cancer, Dana-Farber/Harvard Cancer Center

OpenAlex ID: W7167074748

FWCI:

Cites: 35

Cited by:

Related to: 10