PROJECT SUMMARY Even with the latest digital breast tomosynthesis (DBT) systems, breast cancer screening continues to suffer from poor specificity. Only about 5% of women called-back from screening are ultimately found to have a biopsy- proven cancer. Clinical DBT systems suffer from anisotropies in image quality since the scanning motion is restricted to one direction (left-to-right). We built a next-generation tomosynthesis (NGT) system that is capable of scanning in the shape of a “T”. With phantoms and mastectomy specimens, we have shown that this design mitigates cone-beam artifacts, tissue superposition effects, and anisotropies in super-resolution. As the next step in our research, we will perform a pilot study with volunteers, recruiting women referred for diagnostic imaging or biopsy as well as women having abbreviated magnetic resonance imaging (MRI). Projection images will be acquired in such a way that we can generate reconstructions from two scanning methods (conventional and T). Each scanning method will be analyzed separately by radiologists in different reading sessions. We will mitigate potential concerns about radiation exposure by restricting the study to one view (cranial-caudal) instead of two views. We have put together a team with a unique set of strengths, including the developers of the NGT system, three radiologists, two statisticians, and experts in density and texture analysis. This proposal is divided into two specific aims. (Aim 1): Assess radiologists' performance in a pilot study of the NGT system with volunteers. We will investigate whether the T scan brings down the call-back rate of screening without reducing sensitivity. Radiologists will also rate the overall probability of malignancy, and these scores will be analyzed in combination with clinical follow-up data to show that radiologists' ability to characterize findings is improved with the T scan, specifically by using jackknife alternative free-response receiver operating characteristic (JAFROC) methods. (Aim 2): Perform quantitative analysis of the 3D breast outline segmentation, texture, and density. With breast phantoms, we have previously shown that the breast volume is overestimated in the conventional scan and is calculated more accurately in the T scan. We aim to show that the same result holds in human subjects by calculating volume differences between the two scanning methods. Additionally, we will analyze power-law noise and higher-order non-Gaussian texture measures as surrogate metrics of detectability and tissue superposition effects, which we expect to be improved by the T scan. Finally, we will analyze whether percent density calculations differ between the two scanning methods since we expect fewer out-of-plane artifacts in the T scan. Although the new method of scanning is not being used as part of the volunteers' medical care, the overall impact of this study is to demonstrate improvements in specificity and thus the potential to minimize the number of diagnostic imaging exams and biopsies, lower healthcare costs, and minimize the total radiation dose combining screening and diagnostic imaging. Women with dense breasts will especially benefit from this new design since dense tissue can obscure findings in a conventional DBT scan, making them harder to characterize.

PROJECT NARRATIVE Although clinical tomosynthesis systems for breast cancer screening are designed to scan in only one direction (left-to-right), we have built a next-generation tomosynthesis system which can also scan in the posteroanterior or perpendicular direction. The aim of this grant is to perform a pilot study of this new imaging technology with volunteers, using radiologists' interpretations of the images in combination with clinical follow-up data to determine if the new scanning method would facilitate a lower call-back rate without reducing sensitivity. We will also perform quantitative analyses of the segmented breast volume to demonstrate that there is suppression of cone-beam artifacts, and will calculate density and texture measures as surrogate metrics of detectability and tissue superposition effects which we expect to be improved by the new scanning method.