366-03-007 ISMRM Abstract

Prediction of Neoadjuvant Response of Breast Cancer using Pharmacokinetic Quantification of Pre-treatment DCE MRI

Primary: Analysis Methods - Classification and Prediction

Secondary: Contrast Mechanisms - Perfusion

366-03-007 · Radiomics: Body · Monday, 11 May, 1:50 PM–2:45 PM · Digital Posters Row G

Keywords: DSC & DCE Perfusion Machine Learning/Artificial Intelligence

Accepted

Haoyan Ding ^1,2, Chaowei Wu¹, Lixia A Wang¹, Linda Azab¹, Yuan Yuan³, Debiao Li^1,2

¹Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, United States of America

²Department of Bioengineering, University of California Los Angeles, Los Angeles, United States of America

³Breast Oncology, Cedars-Sinai Medical Center, Los Angeles, United States of America

Presenting Author: Haoyan Ding

Synopsis

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References

1. Yankeelov TE, Gore JC. Dynamic contrast enhanced magnetic resonance imaging in oncology: Theory, data acquisition, analysis, and examples. Curr Med Imaging Rev. 2007;3(2):91–107.doi: 10.2174/157340507780619179. [doi]

2. Xiao J, Rahbar H, Hippe DS, et al. Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis. Npj Breast Cancer. 2021;7(1):1–9.doi: 10.1038/s41523-021-00247-3. [doi]

3. Lee, Hj., Lee, J.H., Lee, J.E. et al. Prediction of early clinical response to neoadjuvant chemotherapy in Triple-negative breast cancer: Incorporating Radiomics through breast MRI. Sci Rep 14, 21691 (2024).https://doi.org/10.1038/s41598-024-72581-y [doi]

4. Braman, N. M., Etesami, M., Prasanna, P., Dubchuk, C., Gilmore, H., Tiwari, P., Plecha, D., & Madabhushi, A. (2017). Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI. Breast cancer research : BCR, 19(1), 57.https://doi.org/10.1186/s13058-017-0846-1 [doi]

5. Wu, C., Wang, L., Wang, N., Shiao, S., Dou, T., Hsu, Y. C., ... & Li, D. (2025). Prediction of early neoadjuvant chemotherapy response of breast cancer through deep learning–based pharmacokinetic quantification of DCE MRI. Radiology: Artificial Intelligence, 7(5), e240769.https://doi.org/10.1148/ryai.240769 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/366-03-007