Novel 3D imaging technology, as adjunct to mammography, improves Specificity markedly without reducing Sensitivity in BIRADS-4 patients
Marmarelis, V.
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ObjectiveTo evaluate the potential diagnostic improvement accrued from using the novel 3D breast imaging technology of Multimodal UltraSonic Tomography (MUST) as adjunct to digital mammography for BI-RADS 4 patients referred to biopsy (clinical trial # EUDAMED/CIV-ID CIV-GR-22-05-039513). MethodsMUST generates 3D tomographic images of pendant breast in water-bath using transmission-mode ultrasound measurements of acoustic refractivity and frequency-dependent attenuation. These measurements are fused via a properly developed algorithm into "advisory diagnostic images" (ADI) depicting the likelihood of malignancy at each voxel of the entire breast volume. In this clinical trial, MUST imaging was performed prior to biopsy on 207 BI-RADS 4 patients presenting micro-calcifications in mammography. The findings of the MUST ADI in the biopsy region were evaluated against the biopsy results ResultsBiopsy histopathology identified malignant lesions in 54 patients (26.2%). MUST ADI detected correctly all these malignancies (down to 2 mm in maximum dimension). In 31 of the 153 participants with negative biopsy (20.3%), MUST ADI found some "likely malignant" lesions within 20-mm radius from the putative point of biopsy. Breast density varied across the cohort, with 65.2% having dense breasts (ACR score 3-4). No dependence of MUST diagnostic performance on breast density was found in this cohort. ConclusionMUST imaging detected correctly all 54 biopsy-confirmed malignant breast lesions (down to 2 mm) among 207 BI-RADS 4 participants (NPV = 100%), while detecting "likely malignancy" in the biopsy region of 31 participants with negative biopsy (PPV = 63.5%), irrespective of breast density. Key messages- MUST detected all 54 biopsy-confirmed malignant lesions in 207 BI-RADS 4 patients (NPV=100%) - MUST detected some malignancy in the region of biopsy in 31 cases with negative biopsy (PPV=63.5%) - The diagnostic performance of MUST was independent of breast density
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