Radiomics and Background Parenchymal Enhancement of Fibroglandular Tissue for Predicting Treatment Response in Triple-Negative Breast Cancer
Motivation: No imaging biomarkers are currently available for predicting response to neoadjuvant systemic treatment (NAST) in triple negative breast cancer (TNBC), contributing to toxicity to patients from ineffective treatment regimens. Goal(s): To evaluate if quantitative analyses of breast parenchyma can serve as noninvasive biomarker of treatment response in TNBC. Approach: Mean background parenchymal enhancement (BPE) and radiomic features of fibroglandular tissue from longitudinal DCE-MRI were evaluated using AUC analysis on a prospective cohort of 273 TNBC patients. Results: Four first order radiomic features were predictive of pCR with AUC>0.6. Multivariable radiomic models and BPE changes had AUC<0.6 for pCR prediction in TNBC undergoing NAST. Impact: Radiomic features from fibroglandular tissue and background parenchymal enhancement changes in ipsilateral and contralateral breasts using DCE MRI during treatment of triple-negative breast cancer patients were evaluated as noninvasive biomarkers for prediction of pathologic complete response to neoadjuvant systemic therapy.
Authors
- Marion E. Scoggins (ORCID: https://orcid.org/0000-0002-4822-9512)
- Frances Perez (ORCID: https://orcid.org/0000-0002-4919-1843)
- Wei Yang (ORCID: https://orcid.org/0000-0003-2575-3570)
- Rania M. Mohamed (ORCID: https://orcid.org/0000-0002-6487-3965)
- Gaiane M. Rauch
- Miral Patel (ORCID: https://orcid.org/0000-0002-0942-2731)
- Deanna L. Lane (ORCID: https://orcid.org/0000-0001-8221-4333)
- Bikash Panthi
- Sanaz Pashapoor
- Jong Bum Son (ORCID: https://orcid.org/0000-0003-2548-5895)
- Mary S. Guirguis (ORCID: https://orcid.org/0000-0001-5874-8861)
- James Leung (ORCID: https://orcid.org/0000-0002-5202-7446)
- Clinton Yam (ORCID: https://orcid.org/0000-0002-0809-0851)
- Rosalind P. Candelaria (ORCID: https://orcid.org/0000-0002-7897-7896)
- Peng Wei (ORCID: https://orcid.org/0009-0000-3514-6921)
- Tanya W. Moseley (ORCID: https://orcid.org/0000-0002-2018-8253)
- Beatriz E. Adrada (ORCID: https://orcid.org/0000-0002-5539-5332)
- Gary R. Whitman
- Zhan Xu (ORCID: https://orcid.org/0000-0002-5892-0227)
- Huong T. Le‐Petross (ORCID: https://orcid.org/0000-0003-0356-498X)
- Jingfei Ma (ORCID: https://orcid.org/0000-0003-2827-8891)
- Huiqin Chen (ORCID: https://orcid.org/0000-0003-2477-5436)
- Debu Tripathy (ORCID: https://orcid.org/0000-0002-5711-2404)
- Ken‐Pin Hwang
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/1459
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00