微创医学

目的探讨自动乳腺全容积成像扫查系统（ABVS）与超声弹性成像（UE）对乳腺占位性病变的诊断价值。方法选取乳腺占位性病变患者111例（139个病灶）为观察对象，分别应用ABVS及UE进行诊断，以术后病理结果为金标准，探讨两种诊断方法的诊断效能。结果139个病灶中，恶性病灶58个，良性病灶81个。ABVS和UE诊断乳腺占位性病变的灵敏度、特异度、准确率、阳性预测值、阴性预测值分别是87.9%（51/58）、92.6%（75/81）、90.6%（126/139）、89.5%（51/57）、91.5% （75/82）和86.2%（50/58）、95.1%（77/81）、91.4%（127/139）、92.6%（50/54）、90.6%（77/85）。恶性病灶“汇聚征”阳性率明显高于良性病灶（P＜0.05）。ABVS冠状面的“汇聚征”诊断恶性病灶的敏感度、特异度、准确性、阳性预测值、阴性预测值分别为75.9%（44/58）、95.1%（77/81）、87.1%（121/139）、91.7%（44/48）、84.6%（77/91）。结论ABVS和UE均能够对乳腺占位性病变作出较为准确的诊断，特别是ABVS冠状面的“汇聚征”对乳腺癌具有较高的诊断效能，值得临床推广应用。

ObjectiveTo explore the diagnostic value of automated breast volume scanner (ABVS) and ultrasound elastography (UE) for breast space-occupying lesions. MethodsA total of 111 patients (139 lesions) with breast space-occupying lesions were selected as observation subjects, and diagnosed by ABVS and UE, respectively. Postoperative pathological finding acted as the gold standard to investigate the diagnostic efficiency of the two methods. ResultsAmong the 139 lesions, there were 58 malignant lesions and 81 benign lesions. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value were 87.9%（51/58）,92.6%（75/81）,90.6%（126/139）,89.5%（51/57）and 91.5% （75/82）, respectively, for diagnosing breast space-occupying lesions by ABVS, and were 86.2%（50/58）,95.1%（77/81）,91.4%（127/139）,92.6%（50/54）and 90.6%（77/85）by UE, respectively. The positive rate of “convergence sign” in malignant lesions was obviously higher than that in benign lesions(P＜0.05). The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of “convergence sign” on coronal ABVS imaging for diagnosing malignant lesions were 75.9%（44/58）, 95.1%（77/81）,87.1%（121/139）,91.7%（44/48）and 84.6%（77/91）, respectively. ConclusionBoth ABVS and UE are more accurate in diagnosing breast space-occupying lesions, especially “convergence sign” on coronal ABVS imaging has a higher diagnostic efficiency for breast cancer. It is worthy of clinical promotion and application.