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iPhone-Based Teleradiology for the Diagnosis of Acute Cervico-Dorsal Spine Trauma

Published online by Cambridge University Press:  23 September 2016

Jayesh Modi ,
Pranshu Sharma ,
Alex Earl ,
Mark Simpson ,
J. Ross Mitchell  and
Mayank Goyal
Jayesh Modi
Affiliation:
Department of Radiology, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada
Pranshu Sharma
Affiliation:
Department of Radiology, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada
Alex Earl
Affiliation:
Department of Radiology, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada
Mark Simpson
Affiliation:
Department of Radiology, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada
J. Ross Mitchell
Affiliation:
Department of Radiology, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada Department of Clinical Neurosciences, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada
Mayank Goyal*
Affiliation:
Department of Radiology, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada Department of Clinical Neurosciences, Foothills Medical Centre, University of Calgary, Calgary, Alberta, Canada
*
Radiology and Clinical Neurosciences, Department of Radiology, Foothills Medical Centre, University of Calgary, 1403, 29th St. NW, Calgary, Alberta, T2N 2T9, Canada
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Abstract

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Objective:

To assess the feasibility of iPhone-based teleradiology as a potential solution for the diagnosis of acute cervico-dorsal spine trauma.

Materials and Methods:

We have developed a solution that allows visualization of images on the iPhone. Our system allows rapid, remote, secure, visualization of medical images without storing patient data on the iPhone. This retrospective study is comprised of cervico-dorsal computed tomogram (CT) scan examination of 75 consecutive patients having clinically suspected cervico-dorsal spine fracture. Two radiologists reviewed CT scan images on the iPhone. Computed tomogram spine scans were analyzed for vertebral body fracture and posterior elements fractures, any associated subluxation-dislocation and cord lesion. The total time taken from the launch of viewing application on the iPhone until interpretation was recorded. The results were compared with that of a diagnostic workstation monitor. Inter-rater agreement was assessed.

Results:

The sensitivity and accuracy of detecting vertebral body fractures was 80% and 97% by both readers using the iPhone system with a perfect inter-rater agreement (kappa:1). The sensitivity and accuracy of detecting posterior elements fracture was 75% and 98% for Reader 1 and 50% and 97% for Reader 2 using the iPhone. There was good inter-rater agreement (kappa: 0.66) between both readers. No statistically significant difference was noted between time on the workstation and the iPhone system.

Conclusion:

iPhone-based teleradiology system is accurate in the diagnosis of acute cervico-dorsal spinal trauma. It allows rapid, remote, secure, visualization of medical images without storing patient data on the iPhone.

Résumé

RésuméObjectif:

Le but de l'étude était d'évaluer la faisabilité de la téléradiologie basée sur le iPhone comme ressource pour le diagnostic du traumatisme de la colonne cervicale et dorsale.

Méthodologie:

Nous avons développé une ressource qui permet la visualisation d'images sur le iPhone. Notre système permet la visualisation rapide, à distance et sécurisée d'images médicales sans sauvegarder les informations concernant le patient dans le iPhone. Cette étude rétrospective inclut l'examen de tomodensitométrie cervico-dorsale de 75 patients consécutifs chez qui on soupçonnait cliniquement une fracture de la colonne cervico-dorsale. Deux radiologistes ont révisé les tomodensitométries sur le iPhone pour détecter les fractures des corps vertébraux et des éléments postérieurs, ainsi que les subluxations-dislocations et les lésions de la moelle épinière associées. Le temps total à partir du lancement de l'application sur le iPhone jusqu'à l'interprétation a été noté. Les résultats ont été comparés à ceux obtenus à un poste de travail utilisé pour le diagnostic et la concordance entre les observateurs a été évaluée.

Résultats:

La sensibilité et l'exactitude de détection des fractures du corps vertébral étaient de 80% et 97% respectivement pour les deux observateurs lorsqu'ils utilisaient le système iPhone, et la concordance inter-observateurs était parfaite (kappa : 1). La sensibilité et l'exactitude de détection pour les fractures des éléments postérieurs étaient de 75% et 98% respectivement pour l'observateur 1 et de 50% et 97% pour l'observateur 2 sur le iPhone. La concordance inter-observateurs était bonne (kappa : 0,66) entre les deux observateurs. Aucune différence significative au point de vue statistique n'a été notée quant au temps consacré au poste de travail et au système iPhone.

Conclusion:

Le système de téléradiologie basé sur le iPhone pour le diagnostic du traumatisme aigu de la colonne cervico-dorsale est exact. Il permet une visualisation rapide, à distance et sécurisée des images médicales sans sauvegarde des données du patient dans le iPhone.

Type
Original Articles
Information
Canadian Journal of Neurological Sciences , Volume 37 , Issue 6 , November 2010 , pp. 849 - 854
Copyright
Copyright © The Canadian Journal of Neurological 2010

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