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Updated: Mar 30, 2026

Ultrasonographic Evaluation of Breast Cancer-related Lymphedema
Published on: January 12, 2017
Positive impact of elastography in breast cancer diagnosis: an institutional experience
Andrea Botticelli1, Eva Mazzotti1, Domenica Di Stefano2
1Department of Clinical and Molecular Medicine, Faculty of Medicine and Psychology, Sant'Andrea Hospital, "La Sapienza" University of Rome, Via di Grottarossa, 1035/1039, 00189 Rome, Italy.
Abstract:
Elastography (ES) is a technique that, when associated with traditional B mode ultrasound (US), allows the degree of elasticity of tissue to be evaluated according to a color scale system. The aims of the study were to compare the diagnostic characteristics of two widely used techniques adopted in breast cancer screening; US and color Doppler (CD), with those of the same two techniques plus ES, and assessment of the same diagnostic characteristics when the three methods were applied to lesions < or >1 cm. Methods used included subjecting 212 women to investigations aimed at the early diagnosis of breast cancer outside the screening model, whereby 395 lesions were detected by US, ES, and CD, with a definitive diagnosis proved by histological exam. The diagnostic performance of US, ES, CD, and their combinations was calculated. The results showed that comparing the diagnostic characteristics of the three methods with reference to the definitive histological results for malignant breast lesions, the best diagnostic accuracy was obtained when US, ES, and CD were combined (0.837). For lesions <1 cm, diagnostic accuracy was 0.782, and for those >1 cm, it was 0.886. In the lesions <1 cm, which were more difficult to study, a positive ES score (>4) appeared to be sufficient to deepen the diagnosis, even though 35 % of the ES or US positive lesions were not malignant. By contrast, in lesions >1 cm, the probability of having a malignant lesion when all three tests were positive was very high (97 %). It was concluded that early diagnosis is a key factor in breast cancer, so an economically sustainable, non-invasive pathway is the target of diagnostic breast imaging.

