中国医疗器械杂志2024,Vol.48Issue(4) :426-429,439.DOI:10.12455/j.issn.1671-7104.230710

萤火虫成像联合应变弹性成像校正人工智能S-Detect技术对乳腺囊实性肿块良恶性的诊断价值

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

袁杰 汪成 笪应芬
中国医疗器械杂志2024,Vol.48Issue(4) :426-429,439.DOI:10.12455/j.issn.1671-7104.230710

萤火虫成像联合应变弹性成像校正人工智能S-Detect技术对乳腺囊实性肿块良恶性的诊断价值

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

袁杰 1汪成 2笪应芬1
扫码查看

作者信息

  • 1. 上海交通大学医学院附属第九人民医院黄浦分院超声科,上海市,200011
  • 2. 上海交通大学医学院附属第九人民医院黄浦分院乳腺外科,上海市,200011
  • 折叠

摘要

目的探讨萤火虫成像(micropure imaging,MI)联合应变弹性成像(strain elastography,SE)校正人工智能(artificial intelligence,AI)S-Detect技术对乳腺囊实性肿块良恶性的诊断价值.方法根据145个乳腺囊实性肿块的MI和SE的表现对其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度、特异度、准确度,并绘制两组受试者操作特征(receiver operating characteristic,ROC)曲线,比较曲线下面积.结果病理良性80个,恶性65个.S-Detect经过校正后,诊断敏感度、特异度、准确度以及ROC曲线下面积均较校正前有所提高.结论MI与SE联合校正S-Detect的诊断结果,能够提高对乳腺囊实性肿块良恶性的诊断效能.

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.

关键词

超声检查/乳腺囊实混合性肿块/人工智能/S-Detect技术/萤火虫成像/应变弹性成像

Key words

ultrasonography/breast complex cystic and solid masses/artificial intelligence/S-Detect technology/micropure imaging/strain elastography

引用本文复制引用

基金项目

上海市自然科学基金项目(20ZR1432400)

上海市黄浦区科学技术委员会科研项目()

上海市黄浦区卫生健康系统科研项目(HLM202211)

出版年

2024
中国医疗器械杂志
上海市医疗器械检测所

中国医疗器械杂志

CSTPCD
影响因子:0.503
ISSN:1671-7104
段落导航相关论文