Based on the experiment to evaluate the diagnostic value of automated breast ultrasound (ABUS) for breast tumors, this study needs to review and collate the case data of 96 patients with breast tumors who received surgical treatment for breast tumors in the oncology Department of our hospital during the two-year period from January 2022 to January 2024. In addition, all patients underwent routine and ABUS examinations at the time of ultrasound examination, with surgical pathological results as the gold standard. The results of breast tumor detection by ABUS and conventional ultrasound were compared and analyzed. The results showed that 140 breast tumors were detected, of which 74 were malignant and 66 were positive. With surgical pathology as the gold standard, routine ultrasound detected only 52 malignant cases and 45 benign cases. ABUS detected 72 malignant cases and 65 benign cases. The positive predictive value (98.63%), negative predictive value (97.01%), specificity (98.48%), sensitivity (97.30%), and accuracy (97.86%) of ABUS were significantly higher than those of conventional ultrasound (71.23%, 67.16%, 68.18%, 70.27%, 69.29%). The difference was statistically significant (P < 0.05). The results show that ABUS has a high diagnostic efficiency for breast tumors and has a guiding role in the clinical differentiation of benign and malignant breast tumors, which is worthy of recommendation.

Li Lijie, Pei Caiying, Sun Liqian, Zhang Miaomiao, Jiang Yi. The application of ultrasound automatic volume imaging in detecting breast tumors. Frontiers in Medical Science Research (2024), Vol. 6, Issue 9: 33-37. https://doi.org/10.25236/FMSR.2024.060905.

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