Radiomic tumor phenotypes augment molecular profiling in predicting recurrence free survival after breast neoadjuvant chemotherapy

Rhea Chitalia; Marios Miliotis; Nariman Jahani; Spyros Tastsoglou; Elizabeth S. McDonald; Vivian Belenky; Eric A. Cohen; David Newitt; Laura J. van’t Veer; Laura Esserman; Nola Hylton; Angela DeMichele; Artemis Hatzigeorgiou; Despina Kontos

doi:10.1038/s43856-023-00273-1

Communications Medicine (Mar 2023)

Radiomic tumor phenotypes augment molecular profiling in predicting recurrence free survival after breast neoadjuvant chemotherapy

Rhea Chitalia,
Marios Miliotis,
Nariman Jahani,
Spyros Tastsoglou,
Elizabeth S. McDonald,
Vivian Belenky,
Eric A. Cohen,
David Newitt,
Laura J. van’t Veer,
Laura Esserman,
Nola Hylton,
Angela DeMichele,
Artemis Hatzigeorgiou,
Despina Kontos

Affiliations

Rhea Chitalia: Department of Bioengineering, University of Pennsylvania
Marios Miliotis: Department of Computer Science and Biomedical Informatics, University of Thessaly
Nariman Jahani: Department of Radiology, Division of Hematology/Oncology, University of Pennsylvania
Spyros Tastsoglou: Department of Computer Science and Biomedical Informatics, University of Thessaly
Elizabeth S. McDonald: Department of Radiology, Division of Hematology/Oncology, University of Pennsylvania
Vivian Belenky: Department of Radiology, Division of Hematology/Oncology, University of Pennsylvania
Eric A. Cohen: Department of Radiology, Division of Hematology/Oncology, University of Pennsylvania
David Newitt: Department of Radiology and Biomedical Imaging, University of California
Laura J. van’t Veer: Department of Surgery and Oncology, University of California
Laura Esserman: Department of Surgery and Oncology, University of California
Nola Hylton: Department of Radiology and Biomedical Imaging, University of California
Angela DeMichele: Department of Medicine, Division of Hematology/Oncology, University of Pennsylvania
Artemis Hatzigeorgiou: Department of Computer Science and Biomedical Informatics, University of Thessaly
Despina Kontos: Department of Radiology, Division of Hematology/Oncology, University of Pennsylvania

DOI: https://doi.org/10.1038/s43856-023-00273-1
Journal volume & issue: Vol. 3, no. 1
pp. 1 – 12

Abstract

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Chitalia, Miliotis et al. evaluate radiomic predictors of outcome in patients with breast cancer treated with neoadjuvant chemotherapy. The authors identify radiomic phenotypes related to changes in tumor heterogeneity that improve progression-free survival prediction when added to clinicopathological and molecular factors.

Published in Communications Medicine

ISSN: 2730-664X (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Medicine
Website: https://www.nature.com/commsmed/

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