NIH R01 · 2024
DeepTOBIDx: deep learning-enhanced multimodal diagnostic breast imaging
PROJECT SUMMARY / ABSTRACT Imaging modalities routinely used in the diagnostic workup, i.e., mammography, ultrasound, and MRI, can catch breast cancers at an early stage based on structural abnormalities but lack in providing physiological information relevant to the function of tissue that determines tumor malignancy. Currently, the U.S. national benchmark of positive predictive value for malignancy at biopsy after a BI-RADS 4 or 5 diagnostic assessment (PPV3) is only 30.4%. This means about 7 out of 10 biopsies come back negative for cancer. Prior research has demonstrated that diffusion optical tomography (DOT), as a complementary functional imaging modality to clinical breast imaging,…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.