April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
iPhone Photography of Eye Pathology for Remote Triage
Author Affiliations & Notes
  • Lingmin He
    Ophthalmology, Stanford University, Palo Alto, CA
  • David Myung
    Ophthalmology, Stanford University, Palo Alto, CA
  • Suzann Pershing
    Ophthalmology, Stanford University, Palo Alto, CA
  • Robert Chang
    Ophthalmology, Stanford University, Palo Alto, CA
  • Footnotes
    Commercial Relationships Lingmin He, S13-428/PROV (P); David Myung, Medigram (S), S13-428/PROV (P); Suzann Pershing, None; Robert Chang, S13-428/PROV (P)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 4875. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Lingmin He, David Myung, Suzann Pershing, Robert Chang; iPhone Photography of Eye Pathology for Remote Triage. Invest. Ophthalmol. Vis. Sci. 2014;55(13):4875.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract
 
Purpose
 

To determine if the quality of photographs taken of eye findings with an iPhone camera are of sufficient quality to triage patients presenting to ophthalmologists on-call.

 
Methods
 

Patients presenting to ophthalmology residents at Stanford Hospitals and Clinics and Lucille Packard Children’s Hospital consented to participate in this Stanford IRB approved-study. All subjects received routine clinical examination and treatment and had relevant ocular findings photographed with the iPhone 4s or 5 using our group's proprietary anterior segment adaptor. The photographs were uploaded to a secure, HIPAA compliant database for later review by two independent graders who were also provided with very brief clinical information and the initial consult question. They rated the quality of the photographs on a scale of 1-5 with 1 being “inadequate for any diagnostic purpose”, 3 “only able to exclude emergent findings” and 5 “ideal quality” for evaluation of each part of the eye. They also selected a triage decision for the patient - “see immediately”, “give next-day clinic follow-up”, and “see later same day." These were analyzed by an independent clinician for appropriateness of response compared to actual diagnosis and treatment found in the chart. Finally, readers were asked if they would be comfortable defending the triage decision in a malpractice suit situation.

 
Results
 

19 patient examinations with photographs were collected and fully evaluated by the readers. Of these, the triage decision made by the readers was appropriate for the diagnosis made by bedside examination 97.3% of the time. The two readers made the same triage decision 63.2% of the time and felt that they were comfortable defending the decision in a malpractice suit 73.7% of the time. Table 1 shows the percentage of images when the readers felt that the quality was at least a 3 - emergent findings could be excluded. This was over 50% for the external examination, eyelids, conjunctiva/sclera, cornea, iris, optic disc, macula, and vessels. However, the rate that emergent findings were excludable was <50% for the periphery, vitreous, lens, and anterior chamber.

 
Conclusions
 

Photographs of the anterior segment taken from iPhone4s or better may be potentially useful in the remote triage of patients. However, there are limitations to viewing some parts of the eye.

 
 
Prototype iPhone anterior segment adapter
 
Prototype iPhone anterior segment adapter
   
Keywords: 550 imaging/image analysis: clinical • 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound)  
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×