Elastography-Based Modeling of Breast Non-Mass Lesions
This study assessed the diagnostic efficiency of strain elastography in differentiating benign and malignant non-mass breast lesions (NMLs) detected on ultrasonography. A total of 149 patients (mean age, 48.8±10.6 y) with histopathologically confirmed NMLs were retrospectively analyzed. Each lesion was evaluated using B-mode ultrasonography and strain elastography, and both elasticity score and strain ratio were recorded. The mean strain ratio was significantly higher in malignant lesions than in benign ones (3.2±0.96 vs. 1.8±0.9, P<0.001). Receiver operating characteristic curve analysis showed a high diagnostic accuracy for strain ratio (area under the curve=0.863; 95% CI: 0.794-0.931), with a cutoff value of 2.45 yielding 82.8% sensitivity and 77.5% specificity. Lesions with an elasticity score ≥4 were more likely to be malignant (P<0.001). In multivariable modeling, adding elastography parameters to conventional ultrasonography improved diagnostic performance, and decision curve analysis demonstrated superior net clinical benefit for elastography-based models compared with ultrasonography alone. These findings suggest that integrating strain elastography into routine ultrasonographic assessment can enhance diagnostic accuracy and support clinical decision-making in patients with NMLs.
Authors
- Eda Elverici (ORCID: https://orcid.org/0000-0002-1539-5047)
- Arzu Özsoy (ORCID: https://orcid.org/0000-0002-0367-4794)
- Leman Günbey Karabekmez (ORCID: https://orcid.org/0000-0001-9862-0192)
- Seçil Gündoğdu (ORCID: https://orcid.org/0000-0002-6254-3022)
- Eren Çamur
- Mehmet Kutlu
Institutions
- Bilkent University (TR)
- Istanbul Medipol University (TR)
- Memorial Ankara Hospital (TR)
- Ankara Yıldırım Beyazıt University (TR)
- Ankara Bilkent City Hospital (TR)
Publication Details
- Journal
- Ultrasound Quarterly
- Published
- 2026-05-22
- DOI
- https://doi.org/10.1097/ruq.0000000000000741
- Primary Topic
- Ultrasound Imaging and Elastography
- Type
- article
- Field-Weighted Citation Impact
- 0.00