Objectives: To assess radiologist confidence in the characterization of suspicious breast lesions with a dedicated three-dimensional breast computed tomography (DBCT) system in comparison to diagnostic two-dimensional digital mammography (dxDM). Materials and Methods: Twenty women were recruited who were to undergo a breast biopsy for a Breast Imaging-Reporting and Data System (BI-RADS) 4 or 5 lesion evaluated with dxDM in this Institutional Review Board-approved study. The enrolled subjects underwent imaging of the breast(s) of concern using DBCT. Seven radiologists reviewed the cases. Each reader compared DBCT to the dxDM and was asked to specify the lesion type and BI-RADS score for each lesion and modality. They also compared lesion characteristics: Shape for masses or morphology for calcifications; and margins for masses or distribution for calcifications between the modalities using confidence scores (0–100). Results: Twenty-four biopsied lesions were included in this study: 17 (70.8%) masses and 7 (29.2%) calcifications. Eight (33.3%) lesions were malignant, and 16 (66.7%) were benign. Across all lesions, there was no significant difference in the margin/distribution (Δ = −0.99, P = 0.84) and shape/morphology (Δ = −0.10, P = 0.98) visualization confidence scores of DBCT in relation to dxDM. However, analysis by lesion type showed a statistically significant increase in reader shape (Δ =11.34, P = 0.013) and margin (Δ =9.93, P = 0.023) visualization confidence with DBCT versus dxDM for masses and significant decrease in reader morphology (Δ = −29.95, P = 0.001) and distribution (Δ = −28.62, P = 0.002) visualization confidence for calcifications. Conclusion: Reader confidence in the characterization of suspicious masses is significantly improved with DBCT, but reduced for calcifications. Further study is needed to determine whether this technology can be used for breast cancer screening.
Keywords: Breast cancer, computed tomography, diagnostic imaging, mammography
Cited in 3 Documents
Stephen J. Glick and Lynda C. Ikejimba Advances in digital and physical anthropomorphic breast phantoms for x-ray imaging Med. Phys. 45(10) 2018 e870. Doi: 10.1002/mp.13110
Rongrong Guo, Guolan Lu, Binjie Qin and Baowei Fei Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review Ultrasound in Medicine & Biology 44(1) 2018 37. Doi: 10.1016/j.ultrasmedbio.2017.09.012
Hae Kyoung Jung, Cherie M. Kuzmiak, Keum Won Kim, Na Mi Choi, Hye Jeong Kim, Eun Lee Langman, Sora Yoon, Doreen Steen, Donglin Zeng and Fei Gao Potential Use of American College of Radiology BI-RADS Mammography Atlas for Reporting and Assessing Lesions Detected on Dedicated Breast CT Imaging Academic Radiology 24(11) 2017 1395. Doi: 10.1016/j.acra.2017.06.003
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