TY - JOUR
T1 - Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis
AU - the Imaging and Informatics in ROP (i-ROP) Research Consortium
AU - Peter Campbell, J.
AU - Ataer-Cansizoglu, Esra
AU - Bolon-Canedo, Veronica
AU - Bozkurt, Alican
AU - Erdogmus, Deniz
AU - Kalpathy-Cramer, Jayashree
AU - Patel, Samir N.
AU - Reynolds, James D.
AU - Horowitz, Jason
AU - Hutcheson, Kelly
AU - Shapiro, Michael
AU - Repka, Michael X.
AU - Ferrone, Phillip
AU - Drenser, Kimberly
AU - Martinez-Castellanos, Maria Ana
AU - Ostmo, Susan
AU - Jonas, Karyn
AU - Paul Chan, R. V.
AU - Chiang, Michael F.
AU - Sonmez, Kemal
AU - Coki, Osode
AU - Eccles, Cheryl Ann
AU - Sarna, Leora
AU - Berrocal, Audina
AU - Negron, Catherin
AU - Cumming, Kristi
AU - Osentoski, Tammy
AU - Check, Tammy
AU - Lee, Thomas
AU - Kruger, Evan
AU - McGovern, Kathryn
AU - Simmons, Charles
AU - Murthy, Raghu
AU - Galvis, Sharon
AU - Rotter, Jerome
AU - Chen, Ida
AU - Li, Xiaohui
AU - Roll, Kaye
AU - Salinas-Longoria, Samantha
AU - Romero, Rafael
AU - Arriola, Andrea
N1 - Funding Information:
This study was supported by grants R01 EY19474, P30 EY010572 (Drs Chiang and Campbell), and R21 EY022387 (Drs Erdogmus, Chiang, and Kalpathy-Cramer) from the National Institutes of Health, unrestricted departmental funding from Research to Prevent Blindness (Drs Campbell, Reynolds, Repka, Chan, and Chiang and Mss Patel, Ostmo, and Jonas), the St Giles Foundation (Dr Chan), and the iNsight Foundation (Dr Chan and Ms Jonas).
PY - 2016/6
Y1 - 2016/6
N2 - IMPORTANCE: Published definitions of plus disease in retinopathy of prematurity (ROP) reference arterial tortuosity and venous dilation within the posterior pole based on a standard published photograph. One possible explanation for limited interexpert reliability for a diagnosis of plus disease is that experts deviate from the published definitions. OBJECTIVE: To identify vascular features used by experts for diagnosis of plus disease through quantitative image analysis. DESIGN, SETTING, AND PARTICIPANTS: A computer-based image analysis system (Imaging and Informatics in ROP [i-ROP]) was developed using a set of 77 digital fundus images, and the system was designed to classify images compared with a reference standard diagnosis (RSD). System performance was analyzed as a function of the field of view (circular crops with a radius of 1-6 disc diameters) and vessel subtype (arteries only, veins only, or all vessels). Routine ROP screening was conducted from June 29, 2011, to October 14, 2014, in neonatal intensive care units at 8 academic institutions, with a subset of 73 images independently classified by 11 ROP experts for validation. The RSD was compared with the majority diagnosis of experts. MAINOUTCOMES ANDMEASURES: The primary outcome measure was the percentage of accuracy of the i-ROP system classification of plus disease, with the RSD as a function of the field of view and vessel type. Secondary outcome measures included the accuracy of the 11 experts compared with the RSD. RESULTS: Accuracy of plus disease diagnosis by the i-ROP computer-based system was highest (95%; 95% CI, 94%-95%) when it incorporated vascular tortuosity from both arteries and veins and with the widest field of view (6-disc diameter radius). Accuracy was 90% or less when using only arterial tortuosity and 85% or less using a 2- to 3-disc diameter view similar to the standard published photograph. Diagnostic accuracy of the i-ROP system (95%) was comparable tothat of11 expert physicians (mean 87%, range 79%-99%). CONCLUSIONS AND RELEVANCE: Experts in ROP appear to consider findings from beyond the posterior retina when diagnosing plus disease and consider tortuosity of both arteries and veins, in contrast with published definitions. It is feasible for a computer-based image analysis system to perform comparably with ROP experts, using manually segmented images.
AB - IMPORTANCE: Published definitions of plus disease in retinopathy of prematurity (ROP) reference arterial tortuosity and venous dilation within the posterior pole based on a standard published photograph. One possible explanation for limited interexpert reliability for a diagnosis of plus disease is that experts deviate from the published definitions. OBJECTIVE: To identify vascular features used by experts for diagnosis of plus disease through quantitative image analysis. DESIGN, SETTING, AND PARTICIPANTS: A computer-based image analysis system (Imaging and Informatics in ROP [i-ROP]) was developed using a set of 77 digital fundus images, and the system was designed to classify images compared with a reference standard diagnosis (RSD). System performance was analyzed as a function of the field of view (circular crops with a radius of 1-6 disc diameters) and vessel subtype (arteries only, veins only, or all vessels). Routine ROP screening was conducted from June 29, 2011, to October 14, 2014, in neonatal intensive care units at 8 academic institutions, with a subset of 73 images independently classified by 11 ROP experts for validation. The RSD was compared with the majority diagnosis of experts. MAINOUTCOMES ANDMEASURES: The primary outcome measure was the percentage of accuracy of the i-ROP system classification of plus disease, with the RSD as a function of the field of view and vessel type. Secondary outcome measures included the accuracy of the 11 experts compared with the RSD. RESULTS: Accuracy of plus disease diagnosis by the i-ROP computer-based system was highest (95%; 95% CI, 94%-95%) when it incorporated vascular tortuosity from both arteries and veins and with the widest field of view (6-disc diameter radius). Accuracy was 90% or less when using only arterial tortuosity and 85% or less using a 2- to 3-disc diameter view similar to the standard published photograph. Diagnostic accuracy of the i-ROP system (95%) was comparable tothat of11 expert physicians (mean 87%, range 79%-99%). CONCLUSIONS AND RELEVANCE: Experts in ROP appear to consider findings from beyond the posterior retina when diagnosing plus disease and consider tortuosity of both arteries and veins, in contrast with published definitions. It is feasible for a computer-based image analysis system to perform comparably with ROP experts, using manually segmented images.
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U2 - 10.1001/jamaophthalmol.2016.0611
DO - 10.1001/jamaophthalmol.2016.0611
M3 - Article
C2 - 27077667
AN - SCOPUS:84973909618
SN - 2168-6165
VL - 134
SP - 651
EP - 657
JO - JAMA Ophthalmology
JF - JAMA Ophthalmology
IS - 6
ER -