Department of Respiratory & Sleep Medicine, Medanta the Medicity, Gurgaon, India.
Department of Respiratory & Sleep Medicine, Medanta the Medicity, Gurgaon, India.
Indian J Tuberc. 2021 Apr;68(2):186-194. doi: 10.1016/j.ijtb.2020.07.029. Epub 2020 Aug 6.
Many underserved remote locations without specialists would benefit from the ability to quickly and easily share images of radiographs with trained radiologists using WhatsApp messenger. However, there is limited evidence on the role of WhatsApp messenger for sharing chest x-ray (CXR) images to aid diagnosis and management. The objective of the study was to determine the diagnostic accuracy and inter-observer agreement of WhatsApp messenger images of digital CXR compared to viewing on Picture Archiving and Communication System (PACS) monitor.
Two pulmonologists reported 400 WhatsApp messenger images of digital CXR each. After a wash period of two weeks, they reviewed the original CXR images on PACS and again reported their findings. Diagnostic agreement was measured using kappa value, diagnostic accuracy was evaluated by sensitivity and specificity.
The diagnostic agreement between WhatsApp and PACS images for both the readers was high in case of normal CXR (0.84), Pneumonia (0.85) and Active Koch's (0.79) and Old Koch's (0.71). The inter-observer agreement between two readers on WhatsApp images was good in cases of normal chest x-ray (0.74), Active Koch's (0.61) and Pneumonia (0.74) and low in COPD (0.31) and Pleural Effusion (0.28) and Carcinoma Lung (0.40). In terms of radiological lesion, inter-observer agreement between two readers on WhatsApp images was good in terms of the zonal involvement, moderate in case of infiltrates, consolidation, nodules, and fibrosis, fair in cavity, effusion (0.28) and poor in hilar lymphadenopathy (0.14). The sensitivity in the diagnosis of nodules, effusion and hilar lymphadenopathy was <50% in both the readers.
CXR transmission via WhatsApp is able to identify clinical findings similar to viewing the same image on a PACS monitor in cases of Pneumonia and normal subjects. Active and old Koch's has good comparability whereas; diagnostic agreement is poor in COPD, cavity, pleural effusion and hilar lymphadenopathy, requiring more caution during interpretation.
许多缺乏专科医生的偏远地区,如果能够利用 WhatsApp 信使快速、轻松地与受过培训的放射科医生共享 X 光片图像,将受益匪浅。然而,关于使用 WhatsApp 信使共享胸部 X 光(CXR)图像以辅助诊断和管理的作用,证据有限。本研究的目的是确定与在 PACS 监视器上查看相比,WhatsApp 信使数字 CXR 图像的诊断准确性和观察者间一致性。
两位肺病专家分别报告了 400 张 WhatsApp 信使数字 CXR 图像。经过两周的洗脱期后,他们在 PACS 上查看原始 CXR 图像,并再次报告他们的发现。使用 Kappa 值测量诊断一致性,通过灵敏度和特异性评估诊断准确性。
两位读者在正常 CXR(0.84)、肺炎(0.85)和活动性 Koch(0.79)和陈旧性 Koch(0.71)的情况下,WhatsApp 和 PACS 图像的诊断一致性较高。两位读者在 WhatsApp 图像上的观察者间一致性在正常胸部 X 射线(0.74)、活动性 Koch(0.61)和肺炎(0.74)的情况下较好,在 COPD(0.31)、胸腔积液(0.28)和肺癌(0.40)的情况下较差。就放射学病变而言,两位读者在 WhatsApp 图像上的观察者间一致性在区域受累方面较好,在浸润、实变、结节和纤维化方面为中度,在空洞、渗出(0.28)和肺门淋巴结肿大(0.14)方面为较差。两位读者在诊断结节、胸腔积液和肺门淋巴结肿大方面的敏感性均<50%。
通过 WhatsApp 传输 CXR 能够识别出与在 PACS 监视器上查看相同图像相似的临床发现,适用于肺炎和正常患者。活动性和陈旧性 Koch 具有良好的可比性;然而,在 COPD、空洞、胸腔积液和肺门淋巴结肿大方面,诊断一致性较差,在解释时需要更加小心。