Quantitative MRI biomarker for classification of clinically significant prostate cancer: Calibration for reproducibility across echo times
The proposed linear calibration method produces similar quantitative biomarker values for acquisitions with different TE, reducing TE-induced error by 72% and 55% for non-csPCa and csPCa, respectively.
Authors
- Courtney Ollison
- Michael E. Hahn (ORCID: https://orcid.org/0000-0002-8323-8174)
- Rebecca Rakow‐Penner (ORCID: https://orcid.org/0000-0002-2566-1978)
- Tyler M. Seibert (ORCID: https://orcid.org/0000-0002-4089-7399)
- Karoline Kallis (ORCID: https://orcid.org/0000-0002-0889-004X)
- Anders M. Dale (ORCID: https://orcid.org/0000-0002-6126-2966)
- Christopher C. Conlin (ORCID: https://orcid.org/0000-0003-4509-8702)
Institutions
- UC San Diego Health System (US)
- University of California San Diego (US)
- La Jolla Bioengineering Institute (US)
- Jacobs (United States) (US)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1002/acm2.14514
- Citations
- 3
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.26
Funders
- U.S. Department of Defense
- Prostate Cancer Foundation
- American Society for Radiation Oncology
- National Institutes of Health
- National Institute of Biomedical Imaging and Bioengineering
- Congressionally Directed Medical Research Programs