李柯研,任秀昀,吕发勤,赵媛媛,张铭,武杜杜,吴盛正.5G远程机器人超声诊断急腹症[J].中国医学影像技术,2022,38(6):928~931
5G远程机器人超声诊断急腹症
5G robot assisted tele-ultrasound for diagnosing acute abdomen
投稿时间:2021-12-31  修订日期:2022-03-31
DOI:10.13929/j.issn.1003-3289.2022.06.030
中文关键词:  急腹症  远程医学  机器人  超声检查
英文关键词:abdomen, acute  telemedicine  robotics  ultrasonography
基金项目:解放军总医院军事医学科研计划(QNC19050、CX19025)。
作者单位E-mail
李柯研 中国人民解放军总医院海南医院超声诊断科, 海南 三亚 572013  
任秀昀 中国人民解放军总医院海南医院超声诊断科, 海南 三亚 572013  
吕发勤 中国人民解放军总医院第三医学中心超声诊断科, 北京 100089
南方医科大学第二临床医学院, 广东 广州 510405 
 
赵媛媛 中国人民解放军总医院海南医院超声诊断科, 海南 三亚 572013  
张铭 三沙市人民医院心电超声科, 海南 三沙 573100  
武杜杜 中国人民解放军总医院海南医院超声诊断科, 海南 三亚 572013  
吴盛正 中国人民解放军总医院海南医院超声诊断科, 海南 三亚 572013
南方医科大学第二临床医学院, 广东 广州 510405 
emailwsz@126.com 
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中文摘要:
      目的 观察5G远程机器人超声诊断急腹症的价值。方法 回顾性分析44例于永兴岛接受5G远程机器人超声检查的急腹症患者,以专家复诊结果、其他影像学检查(X线、CT、MRI等)及随访结果作为参考诊断标准,评估5G远程机器人超声诊断的准确性,分析医师5G远程机器人超声操作经验对检查时长的影响,观察其诊断效能。结果 每例患者远程超声检查时间为10~27 min,平均(17.91±3.99) min。根据参考标准,44例中,阳性39例、阴性5例;5G远程机器人超声检出阳性34例、阴性10例;正确诊断39例,漏诊5例,包括3例输尿管中下段结石和2例胆囊颈部结石,其诊断急腹症的准确率为88.64%(39/44),敏感度为87.18%(34/39)、特异度为100%(5/5),漏诊率为12.82%(5/39)。44例检查均由同一名医师于其具有初、中及高级操作经验时进行,分别检查18、12及14例,漏诊3、1及1例,检查时长分别为(20.83±3.38)、(17.25±2.70)及(14.71±2.87) min,三者总体比较及两两比较差异均有统计学意义(P均<0.05)。结论 5G远程机器人超声检查可在医疗资源匮乏等特殊情况下快速、实时诊断急腹症,且效能较佳。
英文摘要:
      Objective To observe the value of 5G robot assisted tele-ultrasound for diagnosing acute abdomen. Methods Data of 44 patients with acute abdomen in Yongxing island who underwent 5G robot assisted tele-ultrasound were retrospectively analyzed. Taken the subsequent visit results of experts, other imaging examinations (X-ray, CT, MRI, etc.) and follow-up as the referent diagnostic standards, the diagnostic accuracy of 5G robot assisted tele-ultrasound was evaluated. The influence of doctor's experience of 5G robot assisted tele-ultrasound on the time spent of examination was analyzed, and the diagnostic efficacy was observed. Results The time spent of tele-ultrasound examination of each patient was 10-27 min, with an average of (17.91±3.99) min. According to referent diagnostic standards, 39 cases were positive and 5 cases were negative. 5G robot assisted tele-ultrasound diagnosed 34 positive cases, 10 negative cases but missed 5 cases, including 3 cases of middle and lower ureteral calculi and 2 cases of gallbladder neck calculi, totally correctly diagnosed 39 cases. The accuracy of 5G robot assisted tele-ultrasound for diagnosing acute abdomen was 88.64% (39/44), the sensitivity was 87.18% (34/39), the specificity was 100% (5/5), and the missed diagnosis rate was 12.82% (5/39). All 44 cases were examined by the same doctor when he had primary, intermediate and advanced experience. Respectively 18, 12 and 14 cases were examined, and 3, 1 and 1 cases were missed. The examination time was (20.83±3.38), (17.25±2.70) and (14.71±2.87) min respectively. There were significant differences in the overall comparison of the three and the comparison between the two (all P<0.05). Conclusion 5G robot assisted tele-ultrasound could quickly diagnose acute abdomen in real time under special conditions such as lack of medical resources, and its efficacy was good.
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