[Diagnostic Value of Micropure Imaging Combined with Strain Elastography in Correcting Artificial Intelligence S-Detect Technology for Benign and Malignant Breast Complex Cystic and Solid Masses].

Q4 Medicine 中国医疗器械杂志 Pub Date : 2024-07-30 DOI:10.12455/j.issn.1671-7104.230710

Jie Yuan, Cheng Wang, Yingfen Da

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Abstract

Objective: To explore the diagnostic value of micropure imaging (MI) combined with strain elastography (SE) in correcting artificial intelligence (AI) S-Detect technology for benign and malignant breast complex cystic and solid masses.

Methods: The S-Detect diagnosis results were corrected based on the manifestations of MI and SE of the 145 breast complex cystic and solid masses. Postoperative pathological results were used as the gold standard to calculate the diagnostic sensitivity, specificity, and accuracy before and after correction. Additionally, receiver operating characteristic (ROC) curves were drawn for both groups, and the areas under the curves were compared.

Results: There were 80 benign and 65 malignant pathological results. After the correction of S-Detect, the diagnostic sensitivity, specificity, and accuracy, as well as the areas under the ROC curves, were all improved compared to before the correction.

Conclusion: Combining MI and SE to correct the diagnostic results of S-Detect can help improve the diagnostic efficacy of breast complex cystic and solid masses.

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[微纯化成像结合应变弹性成像在修正人工智能 S-Detect 技术对良性和恶性乳腺复杂囊性和实性肿块的诊断价值]。

目的探讨微纯化成像（MI）结合应变弹性成像（SE）在校正人工智能（AI）S-Detect技术对良性和恶性乳腺复杂囊性和实性肿块的诊断价值：方法：根据145例乳腺复杂囊性和实性肿块的MI和SE表现对S-Detect诊断结果进行校正。以术后病理结果为金标准，计算校正前后的诊断敏感性、特异性和准确性。此外，还绘制了两组的接收器操作特征曲线（ROC），并比较了曲线下的面积：结果：共有 80 项良性病理结果和 65 项恶性病理结果。与校正前相比，校正 S-Detect 后的诊断灵敏度、特异性和准确性以及 ROC 曲线下面积均有所提高：结论：结合 MI 和 SE 来校正 S-Detect 的诊断结果有助于提高乳腺复杂囊性和实性肿块的诊断效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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