• Online Features  This Article  • Full text  • PDF  • Reply to article  • Send to a friend  • Save in My Folder  • Save to citation manager  • Permissions  Citing Articles  • Citation map  • Citing articles on HighWire  • Citing articles on Web of Science (20)  • Contact me when this article is cited  Related Content  • Related articles  • Similar articles in this journal  Topic Collections  • Pediatric Ophthalmology  • Retinal/ Chorioretinal Disorders  • Diagnosis  • Alert me on articles by topic  Social Bookmarking   What's this?

David K. Wallace, MD, MPH; Sharon F. Freedman, MD; Zheen Zhao, PhD; Sin-Ho Jung, PhD

Arch Ophthalmol. 2007;125(11):1523-1530.

Objective  To prospectively determine if tortuosity assessment by a computer program (ROPtool) that traces retinal blood vessels and measures their tortuosity was more accurate than that of individual pediatric ophthalmologists.

Methods  One hundred eighty-five high-quality RetCam images from premature infants were circulated to 3 retinopathy of prematurity (ROP) experts and 3 other pediatric ophthalmologists ("examiners") who graded the tortuosity in each quadrant as normal, pre-plus, or plus. These same images were analyzed using ROPtool.

Results  Using expert consensus as the standard, ROPtool's overall accuracy of 95% (175 of 185) for identifying tortuosity sufficient for plus disease was similar to that of examiner 1 (93%; 172 of 185; P = .50), examiner 2 (93%; 172 of 185; P = .50), and examiner 3 (91%; 168 of 185; P = .10). ROPtool's sensitivity of 97% (36 of 37) compared favorably with that of examiner 1 (65%; 24 of 37; P < .001), examiner 2 (70%; 26 of 37; P < .001), and examiner 3 (81%; 30 of 37; P = .06).

Conclusion  Computer-assisted analysis of retinal images can potentially reduce subjectivity in the diagnosis of plus disease and optimize timing of follow-up and treatment for ROP.

Author Affiliations: Departments of Ophthalmology (Drs Wallace and Freedman), Pediatrics (Drs Wallace and Freedman), Psychiatry (Dr Zhao), and Biostatistics and Bioinformatics (Dr Jung), Duke University School of Medicine, Durham, North Carolina.

CiteULike    Connotea    Delicious    Digg    Facebook    Reddit    Technorati    Twitter     What's this?

RELATED ARTICLES

Telemedical Retinopathy of Prematurity Diagnosis: Accuracy, Reliability, and Image Quality
Michael F. Chiang, Lu Wang, Mihai Busuioc, Yunling E. Du, Patrick Chan, Steven A. Kane, Thomas C. Lee, David J. Weissgold, Audina M. Berrocal, Osode Coki, John T. Flynn, and Justin Starren
Arch Ophthalmol. 2007;125(11):1531-1538.
ABSTRACT | FULL TEXT  

Technology and Retinopathy of Prematurity Diagnosis: The New Frontier
William V. Good
Arch Ophthalmol. 2007;125(11):1562-1563.
EXTRACT | FULL TEXT  

THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES

Spectral-Domain Optical Coherence Tomographic Assessment of Severity of Cystoid Macular Edema in Retinopathy of Prematurity
Maldonado et al.
Arch Ophthalmol 2012;0:archopthalmol.2011.1846v1-10.
ABSTRACT | FULL TEXT  

Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity
Shah et al.
Br J Ophthalmol 2011;95:1442-1445.
ABSTRACT | FULL TEXT  

Predictive Value of Pre-plus Disease in Retinopathy of Prematurity
Wallace et al.
Arch Ophthalmol 2011;129:591-596.
ABSTRACT | FULL TEXT  

Computer-Assisted Measurement of Retinal Vascular Width and Tortuosity in Retinopathy of Prematurity
Kiely et al.
Arch Ophthalmol 2010;128:847-852.
ABSTRACT | FULL TEXT  

Risk Stratification of Preplus Retinopathy of Prematurity by Semiautomated Analysis of Digital Images
Ghodasra et al.
Arch Ophthalmol 2010;128:719-723.
ABSTRACT | FULL TEXT  

Technological Advances in Pediatric Eye Care
Wallace et al.
Arch Ophthalmol 2009;127:805-806.
FULL TEXT  

Vascular Dilation and Tortuosity in Plus Disease
Yanovitch et al.
Arch Ophthalmol 2009;127:112-113.
FULL TEXT  

Technology and Retinopathy of Prematurity Diagnosis: The New Frontier
Good
Arch Ophthalmol 2007;125:1562-1563.
FULL TEXT