基于智能手机的远程医疗：将即时通讯应用作为颌骨病变影像学解读的平台
Smart-phone based telemedicine: Instant messaging application as a platform for radiographic interpretations of jaw pathologies.
作者信息
Madi Medhini, Kumar Mathangi, Pentapati Kalyana Chakravarthy, Vineetha Ravindranath
机构信息
Department of Oral Medicine & Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Department of Public Health Dentistry, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
出版信息
J Oral Biol Craniofac Res. 2021 Jul-Sep;11(3):368-372. doi: 10.1016/j.jobcr.2021.04.003. Epub 2021 Apr 14.
OBJECTIVE
To evaluate the reliability of WhatsApp in comparison to the images viewed on a workstation monitor (gold standard) for the identification and interpretation of radiographic images of jaw pathologies.
METHODS
150 panoramic radiographs were screened for the assessment of jaw pathologies in the workstation monitor. The radiographs were sent to two observers (Observer A and B) via WhatsApp® Messenger which were viewed independently on smartphones. A structured proforma was prepared to evaluate the radiographs for the presence or absence of various radiographic pathological characteristics.
RESULTS
The reliability of WhatsApp for observers A and B concerning various characteristics like vital structures, pathological fractures, periodontal ligament widening, and root resorption indicated almost perfect agreement (0.8-0.97). The Kappa coefficients for WhatsApp for observers A and B for pre-categorized radiographic impressions were 0.95 and 0.97 which indicated almost perfect agreement.
CONCLUSION
WhatsApp based expert teleradiology consultation can be a suitable and effective alternative for radiographic interpretations.
目的
评估与在工作站显示器（金标准）上查看的图像相比，WhatsApp在颌骨病变放射影像识别和解读方面的可靠性。
方法
筛选150张全景X线片以在工作站显示器上评估颌骨病变。这些X线片通过WhatsApp® Messenger发送给两名观察者（观察者A和B），他们在智能手机上独立查看。准备了一份结构化表格来评估X线片是否存在各种放射学病理特征。
结果
WhatsApp对于观察者A和B在诸如重要结构、病理性骨折、牙周膜增宽和牙根吸收等各种特征方面的可靠性显示出几乎完全一致（0.8 - 0.97）。观察者A和B对于预先分类的放射学印象，WhatsApp的Kappa系数分别为0.95和0.97，表明几乎完全一致。
结论
基于WhatsApp的专家远程放射学会诊对于放射学解读可能是一种合适且有效的替代方法。
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