Observational studyJournal of ultrasound2020
Diagnostic performance of shear wave elastography in discriminating malignant and benign breast lesions : Our experience with QelaXtoTM software.
Observational study in Journal of ultrasound, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Value of virtual touch tissue imaging quantification in diagnosing breast mass-type lesions and nonmass lesions: a comparative analysis.Quantitative imaging in medicine and surgery · 2025Article
- Breast multiparametric ultrasound: a single-center experience.Journal of ultrasound · 2024Article
- Diagnostic performance of 2D-shear wave elastography in the diagnosis of breast cancer: a clinical appraisal of cutoff values.La Radiologia medica · 2022Article
- Strain and Shear-Wave Elastography and Their Relationship to Histopathological Features of Canine Mammary Nodular Lesions.Veterinary sciences · 2022Article
- Contrast-enhanced ultrasound features of breast capillary hemangioma: a case report and review of literature.Journal of ultrasound · 2022Review
- Ultrasound evaluation of ductal carcinoma in situ of the breast.Journal of ultrasound · 2022Article
- Shear Wave Elastography-Assisted Ultrasound Breast Image Analysis and Identification of Abnormal Data.Journal of healthcare engineering · 2022Article
- Methods for the segmentation and classification of breast ultrasound images: a review.Journal of ultrasound · 2021Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
aimsWe sought to evaluate the diagnostic performance of quantitative elastography (shear wave elastography) and to establish the optimal cutoff value to differentiate malignant and benign breast lesions using QelaXtoTM software.
methodsWe conducted a retrospective observational study of adult women with suspicious breast lesions (BIRADS 3, 4 or 5) who underwent programmed ultrasound-guided core biopsies. Breast lesions were assessed using quantitative elastography combined with B-mode ultrasound. Histopathology was used as reference standard. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were estimated, and a ROC curve analysis was conducted. Three elastography cutoff values were considered: 36, 50 and 80 kPa.
resultsWe included 143 women (mean age of 56 years) with a total of 145 breast lesions: 68 benign tumors (47.26%) and 77 malignancies (52.74%). Mean elasticity measurements of benign and malignant lesions were significantly different (24.6 kPa, SD 28.47, vs. 101.49 kPa, SD 47.38, [Formula: see text]). Using the 50 kPa cutoff, elastography showed a global sensitivity of 87% to discriminate malignant lesions (AUC = 0.897). Moreover, sensitivity was 90.7% when lesions were located 5-40 mm below the skin surface (optimal elastographic field of view). Our false positive rate was 17.65%, comprised mainly of fibroepithelial neoplasms, fibroadenomas and fibrosis.
conclusionsQuantitative elastography can differentiate malignant and benign breast lesions with acceptable to excellent performance. In our sample, the QelaXtoTM software showed a lower optimal cutoff than other ultrasound systems.
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