| 汪璐赟,顾怡栋,李红,钱永红.对比经阴道三维超声自由解剖(OmniView)成像与三维渲染(Render)成像诊断宫腔粘连[J].中国医学影像技术,2021,37(1):100~103 |
| 对比经阴道三维超声自由解剖(OmniView)成像与三维渲染(Render)成像诊断宫腔粘连 |
| Comparison on transvaginal three-dimensional ultrasound OmniView imaging and Render imaging in diagnosis of intrauterine adhesions |
| 投稿时间：2019-10-22 修订日期：2020-08-30 |
| DOI：10.13929/j.issn.1003-3289.2021.01.024 |
| 中文关键词: 子宫疾病 子宫内膜 超声检查 成像,三维 |
| 英文关键词:uterine diseases endometrium ultrasonography imaging, three-dimensional |
| 基金项目:苏州市临床医学中心项目（Szzx201505）。 |
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| 中文摘要: |
| 目的 对比经阴道三维超声自由解剖（OmniView）成像与传统三维渲染（Render）成像模式诊断宫腔粘连（IUA）及分型的价值。方法 对146例临床疑诊IUA患者行经阴道超声，分别以OmniView及Render模式进行宫腔成像；以宫腔镜检查结果为金标准，比较2种技术诊断IUA及分型的效能。结果 经宫腔镜确诊128例IUA，中央型81例、周围型11例、混合型36例。OmniView及Render成像技术诊断IUA的曲线下面积（AUC）分别为0.941及0.846。OmniView成像诊断IUA的准确率为97.95%（143/146），高于Render模式。OmniView成像对周围型及混合型IUA的诊断准确率均高于Render成像（P均<0.05），二者对中央型IUA的诊断准确率差异无统计学意义（P>0.05）。结论 经阴道三维超声OmniView成像技术对IUA的诊断及分型效能均优于传统Render成像技术。 |
| 英文摘要: |
| Objective To compare the value of three-dimensional transvaginal ultrasound OmniView imaging and Render imaging in diagnosis and classification of intrauterine adhesions (IUA). Methods Totally 146 patients with clinically suspected IUA underwent transvaginal ultrasonography. Taken the results of hysteroscopy as the gold standards, the diagnostic efficacy of these two techniques were compared. Results Among 146 patients, 128 were diagnosed as IUA with hysteroscopy, including 81 of central type, 11 of peripheral type and 36 of mixed type. AUC of OmniView and Render imaging techniques was 0.941 (95%CI) and 0.846 (95%CI), respectively. The accuracy of OmniView imaging in diagnosis of IUA was 97.95% (143/146), higher than that of Render imaging (85.62%,P<0.05). The diagnostic accuracy of OmniView imaging for peripheral and mixed IUA were higher than those of Render imaging (both P<0.05), while no significant difference of accuracy of central IUA was detected (P>0.05). Conclusion Transvaginal three-dimensional ultrasound OmniView imaging technology had better efficiency for diagnosis and classification of IUA than traditional Render imaging technology. |
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