Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
460-03-012 ISMRM Abstract

Deep Learning–Based Detection of Breast Lesions in Whole-Body Diffusion MRI (DWIBS)

Primary: Diffusion - DWI/DTI/DKI
Secondary: Analysis Methods - Segmentation and Detection
460-03-012 · Image Classification for Breast Cancer · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row A
Keywords: Prevention Screening Whole Body Breast dwi Artificial Intelligence (AI) Deep Learning
Accepted
Mahsa Maleki Abyaneh1, Saqib A Basar2, Javad Khaghani1, Irina Balduzzi2, Duc Nguyen1, Saurabh Garg3, Siavash Khallaghi1, Yuntong Ma2, Sam Hashemi 3
1AI, Prenuvo, Inc, San Francisco, United States of America
2Prenuvo, Inc, San Francisco, United States of America
3Artificial Intelligence, Prenuvo, Inc, San Francisco, United States of America
Presenting Author: Sam Hashemi

Synopsis

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References

1. National Cancer Institute. "Cancer Statistics." Available at: https://www.cancer.gov/about-cancer/understanding/statistics.
2. SEER Cancer Statistics. "Common Cancer Stat Facts." Available at: https://seer.cancer.gov/statfacts/html/common.html.
3. Patterson DM, Padhani AR, Collins DJ. Technology insight: water diffusion MRI--a potential new biomarker of response to cancer therapy. Nat Clin Pract Oncol. 2008 Apr;5(4):220-33. doi: 10.1038/ncponc1073. Epub 2008 Feb 26. PMID: 18301415. [doi] [pmid]
4. Partridge SC, Demartini WB, Kurland BF, Eby PR, White SW, Lehman CD. Differential diagnosis of mammographically and clinically occult breast lesions on diffusion-weighted MRI. J Magn Reson Imaging. 2010 Mar;31(3):562-70. doi: 10.1002/jmri.22078. PMID: 20187198. [doi] [pmid]
5. Kwee TC, Takahara T, Ochiai R, Nievelstein RA, Luijten PR. Diffusion-weighted whole-body imaging with background body signal suppression (DWIBS): features and potential applications in oncology. Eur Radiol. 2008 Sep;18(9):1937-52. doi: 10.1007/s00330-008-0968-z. Epub 2008 Apr 30. PMID: 18446344; PMCID: PMC2516183. [doi] [pmid]
6. Goda, H.H., AbdAllah, A.E.H., Ahmed, E.A. et al. Whole body diffusion-weighted MRI in detection of metastasis and lymphoma: a prospective longitudinal clinical study. Egypt J Radiol Nucl Med 51, 141 (2020). https://doi.org/10.1186/s43055-020-00231-0. [doi]
7. Baumgartner, M., Jäger, P.F., Isensee, F. and Maier-Hein, K.H., 2021. nnDetection: a self-configuring method for medical object detection. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part V 24 (pp. 530-539). Springer International Publishing.
8. Jaeger, P.F., Isensee, F., Kohl, S.A., Bock, A., & Maier-Hein, K.H. (2020). "Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, 16–24.
9. Partridge, S.C., & McDonald, E.S. (2009). "DW-MRI of the breast: a pictorial review." Insights into Imaging, 10(5), 489–501.

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http://echo.ismrm.org/p/ISMRM2026/460-03-012