Sonoelastography - A new paradigm in the characterization of breast lesions
Zaryab M Qureshi, Kavita U Vaishnav, Rutvik G Patel, Harsh A Jagetiya, Jay M Chaudhary, Burhanuddin F Padrawala, Maitry R Talavia, Hetavi B Patel

TL;DR
Sonoelastography improves breast lesion diagnosis by increasing accuracy and reducing unnecessary biopsies compared to traditional methods.
Contribution
Sonoelastography is shown to be a valuable complementary tool to sonomammography in breast lesion characterization.
Findings
Sonoelastography has higher specificity (90%) and PPV (87%) compared to sonomammography.
Elastography reclassified 30% of benign lesions correctly, reducing unnecessary biopsies.
Diagnostic accuracy of sonoelastography is 82%, with 100% sensitivity in high-risk cases.
Abstract
The diagnostic performance of sonoelastography compared to conventional sonomammography in 136 patients with palpable breast lesions at L.G. Hospital, Ahmedabad is of interest. Hence, patients underwent B-mode ultrasound, mammography, and real-time elastography, with histopathology as the reference standard. Sonoelastography demonstrated higher specificity (90% vs. 60%), PPV (87% vs. 64%), and overall diagnostic accuracy (82%) compared with sonomammography, while maintaining comparable sensitivity (93.3%). The addition of elastography reclassified 30% of benign lesions correctly, reducing unnecessary biopsies and preserving 100% sensitivity in high-risk BIRADS categories. Thus, we show that sonoelastography is a valuable complementary tool to sonomammography in breast lesion characterization.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUltrasound Imaging and Elastography · Breast Lesions and Carcinomas · AI in cancer detection
