Accuracy and Reliability of a Handheld, Nonmydriatic Fundus Camera for the Remote Detection of Optic Disc Edema

被引:19
|
作者
Bursztyn, Lulu [1 ]
Woodward, Maria A. [2 ]
Cornblath, Wayne T. [2 ]
Grabe, Hilary M. [3 ]
Trobe, Jonathan D. [2 ]
Niziol, Leslie [2 ]
De Lott, Lindsey B. [2 ]
机构
[1] Western Univ, Dept Ophthalmol, London, ON, Canada
[2] Univ Michigan, Dept Ophthalmol & Visual Sci, Ann Arbor, MI 48109 USA
[3] Univ Bern, Bern Univ Hosp, Inselspital, Dept Ophthalmol, Bern, Switzerland
关键词
ophthalmology; telemedicine; telehealth; emergency medicine; teletrauma; ACUTE-PHASE RETINOPATHY; DIABETIC-RETINOPATHY; MEDICAL-STUDENTS; EMERGENCY-DEPARTMENT; PHYSICAL-EXAMINATION; EXAMINATION SKILLS; DIGITAL IMAGE; TELEMEDICINE; PHOTOGRAPHY; OPHTHALMOSCOPY;
D O I
10.1089/tmj.2017.0120
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Optic disc edema can be an important indicator of serious neurological disease, but is poorly detected using the direct ophthalmoscope. Portable fundus photography may overcome this difficulty. Introduction: The purpose of this study was to determine the sensitivity and specificity of a handheld, nonmydriatic fundus camera for the detection of optic disc edema. Materials and Methods: Retrospective review of nonmydriatic optic disc photographs taken with a portable fundus camera (Pictor Plus; Volk Optical, Mentor, OH) from the University of Michigan Neuro-Ophthalmology Clinics. We included 103 consecutive eyes with optic disc edema and 103 consecutive eyes without optic disc edema of 109 patients. Four masked neuro-ophthalmologists graded a single photograph of each optic disc presented in randomized order and documented the presence of optic disc edema. Sensitivity and specificity of graders' photographic interpretation was compared with clinical examinations. Reliability of assessments within and between graders was determined using kappa statistics. Results: The sensitivity and specificity for detection of optic disc edema were 71.8-92.2% and 81.6-95.2%, respectively. Photos were found to be ungradable in 0-8.3% of cases. The intergrader reliabilities ranged from 0.60 [95% confidence interval (CI): 0.52-0.67] to 0.72 (95% CI: 0.66-0.77). Intragrader reliability ranged from 0.76 (95% CI: 0.63-0.92) to 0.82 (95% CI: 0.69-0.95). Discussion: Photographs taken with portable, nonmydriatic technology met threshold sensitivity and specificity for remote screening for optic disc edema when performed by most, but not all graders. Reliability between graders was moderate-strong and strong within individual providers. Conclusions: Portable photography holds promise for use in remote screening of optic disc edema.
引用
收藏
页码:344 / 350
页数:7
相关论文
共 50 条
  • [11] DETECTION OF DRUSEN AND EARLY SIGNS OF AGE-RELATED MACULOPATHY USING A NONMYDRIATIC CAMERA AND A STANDARD FUNDUS CAMERA
    KLEIN, R
    MEUER, SM
    MOSS, SE
    KLEIN, BEK
    OPHTHALMOLOGY, 1992, 99 (11) : 1686 - 1692
  • [12] A Method for Detection of the Optic Disc Boundaries in Fundus Images
    Khafizov R.G.
    Tanaeva E.G.
    Biomedical Engineering, 2018, 52 (02) : 96 - 99
  • [13] Fundus Autofluorescence in Optic Disc Drusen: Comparison of Confocal Scanning Laser Ophthalmoscope and Standard Fundus Camera
    Dinc, Umut Asli
    Tatlipinar, Sinan
    Gorgun, Ebru
    Yenerel, Melda
    NEURO-OPHTHALMOLOGY, 2009, 33 (06) : 318 - 321
  • [14] Artificial intelligence integrated smartphone fundus camera for screening the glaucomatous optic disc
    Varshney, Toshit
    Parthasarathy, Divya R.
    Gupta, Viney
    INDIAN JOURNAL OF OPHTHALMOLOGY, 2021, 69 (12) : 3787 - +
  • [15] Fast detection of the optic disc and fovea in color fundus photographs
    Niemeijer, Meindert
    Abramoff, Michael D.
    van Ginneken, Bram
    MEDICAL IMAGE ANALYSIS, 2009, 13 (06) : 859 - 870
  • [16] Optic Disc Boundary Detection from Digital Fundus Images
    Hashim, F. A.
    Salem, N. M.
    Seddik, A. F.
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2015, 5 (01) : 50 - 56
  • [17] Automatic Detection of Optic Disc in Fundus Images by Curve Operator
    Reza, M. Nahid
    Ahmad, Mohiuddin
    2015 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL INFORMATION AND COMMUNICATION TECHNOLOGY (EICT), 2015, : 143 - 147
  • [18] Optic Disc Detection via Deep Learning in Fundus Images
    Xu, Peiyuan
    Wan, Cheng
    Cheng, Jun
    Niu, Di
    Liu, Jiang
    FETAL, INFANT AND OPHTHALMIC MEDICAL IMAGE ANALYSIS, 2017, 10554 : 134 - 141
  • [19] Metaheuristic Techniques for Detection of Optic Disc in Retinal Fundus Images
    Pruthi, Jyotika
    Arora, Shaveta
    Khanna, Kavita
    3D RESEARCH, 2018, 9 (04):
  • [20] Simultaneous Automatic Detection of the Optic Disc and Fovea on Fundus Photographs
    Xu, Xiayu
    Garvin, Mona K.
    Abramoff, Michael D.
    Reinhardt, Joseph M.
    MEDICAL IMAGING 2011: IMAGE PROCESSING, 2011, 7962