Abstract:
Objective: To evaluate the diagnostic agreement of transmitted images of cranial CT due to trauma, through WhatsApp software compared to workstation image-based diagnosis. Study Design: Observational study. Place and Duration of Study: Department of Emergency Medicine, Adiyaman University Training and Research Hospital, from January 2017 to May 2018. Methodology: A total of 94 cases that presented to the Emergency Department and underwent cranial CT were included in the study. CT images were video-recorded by the emergency physician using an Apple iPhone 7. The images were evaluated by two di erent radiologists using Samsung Galaxy Edge 7 and Samsung Note 8 mobile phones. Later, the radiological images were reviewed by two di erent radiologists at the PACS workstation. Then, the WhatsApp-mediated and nal diagnoses were compared for various lesions to evaluate the interobserver agreement and diagnostic success of the use of WhatsApp software. Results: In the assessment of the interobserver agreement, the kappa values were found to be 0.89 for normal ndings, 0.84 for subdural hematoma, 0.73 for subarachnoid hemorrhage, 0.81 for epidural hematoma, 0.85 for fractures, 1 for parenchymal hematoma, and 0.68 for parenchymal contusion. Conclusion: Although WhatsApp can be used in the evaluation of emergency cranial CT images, it is essential to note that some ndings, especially those indicating fractures, subdural hematoma, and parenchymal contusion, can be overlooked.
Page(s):
730-734
DOI:
DOI not available
Published:
Journal: Journal of College of Physicians and Surgeons--Pakistan : JCPSP, Volume: 30, Issue: 7, Year: 2020
Keywords:
Computed tomography
,
WhatsApp
,
PACS
,
Teleradiology
,
Medical software
,
Instant Messenger