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

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Title: Toward precision prognosis: Predicting recurrence-free survival in high-grade serous ovarian cancer patients using multi-time point clinical and computed tomography radiomics data.
Authors: Roller L; Department of Radiology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States of America., Zhou N; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America., Atre I; Department of Radiology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States of America., Xiong N; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America., Li J; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America., Cheng SC; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America., Liu N; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America., Lacad D; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America., Adjei M; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America., Matulonis UA; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America., Konstantinopoulos PA; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America., Liu JF; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America., Tayob N; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America., Stover EH; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America. Electronic address: elizabeth_stover@dfci.harvard.edu., Shinagare AB; Department of Radiology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States of America.
Source: Gynecologic oncology [Gynecol Oncol] 2026 Jul 02; Vol. 211, pp. 98-107. Date of Electronic Publication: 2026 Jul 02.
Publication Type: Journal Article
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 0365304 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-6859 (Electronic) Linking ISSN: 00908258 NLM ISO Abbreviation: Gynecol Oncol Subsets: MEDLINE
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  Data: Toward precision prognosis: Predicting recurrence-free survival in high-grade serous ovarian cancer patients using multi-time point clinical and computed tomography radiomics data.
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  Data: <searchLink fieldCode="AU" term="%22Roller+L%22">Roller L</searchLink>; Department of Radiology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Zhou+N%22">Zhou N</searchLink>; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Atre+I%22">Atre I</searchLink>; Department of Radiology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Xiong+N%22">Xiong N</searchLink>; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Cheng+SC%22">Cheng SC</searchLink>; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Liu+N%22">Liu N</searchLink>; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Lacad+D%22">Lacad D</searchLink>; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Adjei+M%22">Adjei M</searchLink>; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Matulonis+UA%22">Matulonis UA</searchLink>; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Konstantinopoulos+PA%22">Konstantinopoulos PA</searchLink>; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Liu+JF%22">Liu JF</searchLink>; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Tayob+N%22">Tayob N</searchLink>; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America.<br /><searchLink fieldCode="AU" term="%22Stover+EH%22">Stover EH</searchLink>; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Medicine, Harvard Medical School, Boston, MA, United States of America. Electronic address: elizabeth_stover@dfci.harvard.edu.<br /><searchLink fieldCode="AU" term="%22Shinagare+AB%22">Shinagare AB</searchLink>; Department of Radiology, Dana-Farber Cancer Institute, Boston, MA, United States of America; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States of America.
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  Data: <searchLink fieldCode="JN" term="%220365304%22">Gynecologic oncology</searchLink> [Gynecol Oncol] 2026 Jul 02; Vol. 211, pp. 98-107. <i>Date of Electronic Publication: </i>2026 Jul 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Academic+Press%22">Academic Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0365304 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1095-6859 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200908258%22">00908258 </searchLink><i>NLM ISO Abbreviation: </i>Gynecol Oncol <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.ygyno.2026.06.007
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              Text: 2026 Jul 02
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