Published March 15, 2023
| Version 1.0.0
Journal article
Open
Radiomic tumor phenotypes augment molecular profiling in predicting recurrence free survival after breast neoadjuvant chemotherapy
Authors/Creators
- 1. Departments of Bioengineering and Radiology, University of Pennsylvania, Perelman School of Medicine 3400 Spruce Street, Philadelphia, PA 19104, USA
- 2. DIANA Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece | Hellenic Pasteur Institute, 11521 Athens, Greece
Description
This software/dataset accompany the data as described in Chitalia, R., Miliotis, M., Jahani, N. et al. Radiomic tumor phenotypes augment molecular profiling in predicting recurrence free survival after breast neoadjuvant chemotherapy. Commun Med 3, 46 (2023). (https://doi.org/10.1038/s43856-023-00273-1) and can be used to recreate the tables and figures provided in the publication.
Files
I-SPY 1 All Patient Clinical and Outcome Data.txt
Files
(248.5 kB)
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