Program Official

Principal Investigator

Raymond Joseph
Acciavatti
Awardee Organization

University Of Pennsylvania
United States

Fiscal Year
2023
Activity Code
R37
Early Stage Investigator Grants (ESI)
Not Applicable
Project End Date

Next-Generation Tomosynthesis Pilot Study

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 biopsyproven 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.

Publications

  • Choi CJ, Acciavatti RJ, Maidment ADA. Spatial dependency of multiplanar reconstruction in digital breast tomosynthesis. Proceedings of SPIE--the International Society for Optical Engineering. 2023 Feb;12463. Epub 2023 Apr 7. PMID: 37492275
  • Choi CJ, Vent TL, Acciavatti RJ, Maidment ADA. Line-based iterative geometric calibration method for a tomosynthesis system. Medical physics. 2024 Apr;51(4):2444-2460. Epub 2024 Feb 23. PMID: 38394613
  • Acciavatti RJ, Choi CJ, Vent TL, Barufaldi B, Cohen EA, Wileyto EP, Maidment ADA. Non-Isocentric Geometry for Next-Generation Tomosynthesis With Super-Resolution. IEEE transactions on medical imaging. 2024 Jan;43(1):377-391. Epub 2024 Jan 2. PMID: 37603482
  • Barufaldi B, Acciavatti RJ, Conant EF, Maidment ADA. Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis. European radiology. 2024 Jan;34(1):193-203. Epub 2023 Aug 12. PMID: 37572187
  • Acciavatti RJ, Lee SH, Reig B, Moy L, Conant EF, Kontos D, Moon WK. Beyond Breast Density: Risk Measures for Breast Cancer in Multiple Imaging Modalities. Radiology. 2023 Mar;306(3):e222575. Epub 2023 Feb 7. PMID: 36749212
  • Barufaldi B, Gomes J, Rego TGD, Malheiros Y, Filho TMS, Borges LR, Acciavatti RJ, Surti S, Maidment ADA. Impact of Tomosynthesis Acquisition on 3D Segmentations of Breast Outline and Adipose/Dense Tissue with AI: A Simulation-Based Study. Tomography (Ann Arbor, Mich.). 2023 Jul 3;9(4):1303-1314. PMID: 37489471