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(Investigative Ophthalmology and Visual Science. 2005;46:4734-4738.)
© 2005 by The Association for Research in Vision and Ophthalmology, Inc.
DOI:  10.1167/iovs.05-0646
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Diagnosis of Plus Disease in Retinopathy of Prematurity Using Retinal Image multiScale Analysis

Rony Gelman,1 M. Elena Martinez-Perez,2 Deborah K. Vanderveen,1 Anne Moskowitz,1 and Anne B. Fulton1

1From the Department of Ophthalmology, Children’s Hospital and Harvard Medical School, Boston, Massachusetts; and the 2Department of Computer Science, Institute of Research in Applied Mathematics and Systems, Universidad Nacional Autonoma de Mexico, Circuito Escolar Ciudad Universitaria, Cuidad, Mexico.

PURPOSE. To evaluate a semiautomated image analysis software package, Retinal Image multiScale Analysis (RISA), for the diagnosis of plus disease in preterm infants with retinopathy of prematurity (ROP).

METHODS. Digital images of the posterior pole showing both disc and macula in preterm infants with ROP were analyzed with an enhanced version of RISA. Venules (N = 106) and arterioles (N = 44) were identified, and integrated curvature, diameter, and tortuosity of the vessels were calculated. After the RISA calculations were completed, the origins of the vessels were determined to be 32 eyes in 16 infants (12 eyes with plus disease, 20 with no plus disease, as diagnosed by ophthalmic examination). Vessels were sorted into two groups—plus disease and no plus disease—and each RISA parameter was compared using the Mann-Whitney test. For each parameter, sensitivity and specificity were plotted as a function of cutoff criterion, receiver operating characteristic (ROC) curves were constructed, and the areas under the curve (AUC) were calculated.

RESULTS. For both arterioles and venules, each of the three parameters was significantly larger for the plus disease group. For instance, the median estimated arteriolar and venular diameters were approximately 12 µm greater in plus disease. Sensitivity and specificity plots indicated good accuracy of each parameter for the diagnosis of plus disease. The AUC showed that curvature had the highest diagnostic accuracy (0.911 for arterioles, 0.824 for venules).

CONCLUSIONS. The strong performance of RISA parameters in this sample suggests that RISA may be useful for diagnosing plus disease in preterm infants with ROP.




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