| 王荣,王兴田,刘洁,王玉乔,鹿皎.声触诊组织成像定量技术鉴别诊断不同大小乳腺结节[J].中国医学影像技术,2020,36(12):1830~1833 |
| 声触诊组织成像定量技术鉴别诊断不同大小乳腺结节 |
| Virtual touch tissue imaging quantification technique for differential diagnosis of different sized breast nodules |
| 投稿时间：2020-02-27 修订日期：2020-12-07 |
| DOI：10.13929/j.issn.1003-3289.2020.12.015 |
| 中文关键词: 乳腺肿瘤 超声检查 声触诊组织成像定量 |
| 英文关键词:breast neoplasms ultrasonography virtual touch tissue imaging quantification |
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| 中文摘要: |
| 目的 观察声触诊组织成像定量（VTIQ）技术鉴别诊断乳腺不同大小良恶性实性结节的价值。方法 纳入175例经病理学证实的女性乳腺肿瘤患者共193个实性结节，根据结节最大径将其分为≤10 mm组、>10 mm且<20 mm组及≥20 mm组，行VTIQ成像检查，获得结节内部的平均剪切波速度（SWVmean）。以病理结果为金标准，绘制SWVmean诊断乳腺不同大小实性结节的受试者工作特征（ROC）曲线，评价其诊断效能。结果 193个结节中，良性101个、恶性92个；良性结节中61.39%（62/101）为纤维腺瘤，恶性结节中80.43%（74/92）为浸润性导管癌。3组不同大小结节良恶性构成比差异无统计学意义（P>0.05）。各组良恶性结节间SWVmean差异均有统计学意义（P均<0.05）。SWVmean诊断≤10 mm组、>10 mm且<20 mm组及≥20 mm组良恶性结节的曲线下面积（AUC）分别为0.77[95% CI（0.64，0.90）]、0.88[95% CI（0.79，0.97）]及0.92[95% CI（0.84，1.00）]，截断值为3.93 m/s、4.16 m/s和4.60 m/s，敏感度分别为69.23%、90.90%和90.91%，特异度分别为82.86%、77.14%和87.10%，准确率分别为77.05%、83.82%、89.06%。SWVmean对≤10 mm与≥20 mm乳腺良恶性结节的AUC差异具有统计学意义（Z=1.992，P=0.046），其余组间差异均无统计学意义（P均>0.05）。结论 VTIQ技术鉴别诊断乳腺良恶性实性结节具有一定价值，SWVmean对≥20 mm乳腺良恶性结节的鉴别诊断效能优于≤10 mm结节。 |
| 英文摘要: |
| Objective To observe the value of virtual touch tissue imaging quantification (VTIQ) for differential diagnosis of different sized benign and malignant breast solid nodules. Methods Totally 193 solid breast nodules in 175 female patients confirmed by pathology were enrolled. According to the maximum diameter, the nodules were divided into ≤10 mm group, >10 mm and <20 mm group or ≥20 mm group. The mean shear wave velocities (SWVmean) inside the nodules were obtained with VTIQ. Taken the pathological outcomes as gold standards, the receiver operating characteristic (ROC) curves of SWVmean for diagnosing different sized solid breast nodules were drawn to evaluate the diagnostic efficiencies. Results Among 193 solid nodules, 101 were benign and 92 were malignant. Totally 61.39% (62/101) benign nodules were fibroadenomas, while 80.43% (74/92) malignant nodules were invasive ductal carcinomas. There was no significant difference in composition ratio between benign and malignant breast nodules in 3 groups (P>0.05), while statistical significant differences of SWVmean were found between benign and malignant nodules in all 3 groups (all P<0.05). The area under the curves (AUC) of benign and malignant nodules in ≤10 mm group, >10 mm and <20 mm group and ≥20 mm group was 0.77 (95% CI[0.64, 0.90]), 0.88(95% CI[0.79, 0.97]) and 0.92(95% CI[0.84, 1.00]), and the cut-off values was 3.93 m/s, 4.16 m/s and 4.60 m/s, respectively, the sensitivity was 69.23%, 90.90% and 90.91%, specificity was 82.86%, 77.14% and 87.10%, and accuracy was 77.05%, 83.82% and 89.06%, respectively. The difference of AUC was statistically significant between ≤10 mm group and ≥ 20 mm group (Z=1.992, P=0.046), but no statistically difference was found among the remaining pairwise comparisons(all P>0.05). Conclusion VTIQ technology had certain value in differential diagnosis of benign and malignant solid breast nodules. The efficiency of SWVmean for differential diagnosis of ≥ 20 mm benign and malignant breast nodules was better than that of ≤10 mm nodules. |
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