To assess whether a previously described method for generating virtual dynamic contrast-enhanced (vDCE) breast MRI transfers to a scanner not used for model training, and to evaluate BI-RADS-based diagnostic assessment against multiparametric DCE-MRI.
Approach:
Study design and cohort: Retrospective study of clinically indicated breast MRI examinations at University Hospital Erlangen. The original cohort included 540 women scanned from January 2017 to June 2020.
Data sets: Data from one 3-T scanner were divided into training (n=377), validation (n=81), and holdout test sets. A secondary test set included examinations from another 3-T scanner; after exclusions, the test sets contained 76 and 47 cases, respectively.
Imaging protocol: Eligible examinations included T2-weighted fat-saturated imaging, multi-b-value diffusion-weighted imaging, and T1-weighted DCE imaging with a pre-contrast acquisition and five successive 60-second post-contrast acquisitions.
Interpretation:
The provided context describes the study rationale and methods but does not report results on lesion size, BI-RADS assessment, reader confidence, or diagnostic performance.
Limitations:
The supplied context does not include study results or the full methods.
The investigation was retrospective and conducted at a single institution.
Conclusion:
The study evaluates vDCE generation and BI-RADS-based assessment, including transfer to a second scanner; findings cannot be summarized from the provided material.
by Andrzej Liebert, Hannes Schreiter, Lorenz A. Kapsner, Jessica Eberle, Chris M. Ehring, Dominique Hadler, Sabine Ohlmeyer, Frederik B. Laun, Ramona Erber, Julius Emons, Michael Uder, Evelyn Wenkel, Sebastian Bickelhaupt
Harold Burstein, MD, PhD, and Rachel Freedman, MD, MPH discuss the results of a new study looking at the impact of food access and poverty on patients with metastatic breast cancer. They also discuss the new Dana-Farber food pantry and patient navigators who help coordinate care.
