Mobile teledermatopathology: using a tablet PC as a novel and cost-efficient method to remotely diagnose dermatopathology cases. Journal Article


Authors: Speiser, JJ; Hughes, I; Mehta, V; Wojcik, EM; Hutchens, KA
Article Title: Mobile teledermatopathology: using a tablet PC as a novel and cost-efficient method to remotely diagnose dermatopathology cases.
Abstract: : Dermatopathology has relatively few studies regarding teledermatopathology and none have addressed the use of new technologies, such as the tablet PC. We hypothesized that the combination of our existing dynamic nonrobotic system with a tablet PC could provide a novel and cost-efficient method to remotely diagnose dermatopathology cases. 93 cases diagnosed by conventional light microscopy at least 5 months earlier by the participating dermatopathologist were retrieved by an electronic pathology database search. A high-resolution video camera (Nikon DS-L2, version 4.4) mounted on a microscope was used to transmit digital video of a slide to an Apple iPAD2 (Apple Inc, Cupertino, CA) at the pathologist's remote location via live streaming at an interval time of 500 ms and a resolution of 1280/960 pixels. Concordance to the original diagnosis and the seconds elapsed to reaching the diagnosis were recorded. 24.7% (23/93) of cases were melanocytic, 70.9% (66/93) were nonmelanocytic, and 4.4% (4/93) were inflammatory. About 92.5% (86/93) of cases were diagnosed on immediate viewing (5 seconds), with the average time to diagnosis at 40.2 seconds (range: 10-218 seconds). Of the cases diagnosed immediately, 98.8% (85/86) of the telediagnoses were concordant with the original. Telepathology performed via a tablet PC may serve as a reliable and rapid technique for the diagnosis of routine cases with some diagnostic caveats in mind. Our study established a novel and cost-efficient solution for those institutions that may not have the capital to purchase either a dynamic robotic system or a virtual slide system.
Journal Title: The American Journal of Dermatopathology
ISSN: 1533-0311; 0193-1091
Publisher: Unknown  
Date Published: 2014