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Archives of ophthalmology (Chicago, Ill. : 1960) · 2007

Telemedical retinopathy of prematurity diagnosis: accuracy, reliability, and image quality.

Сравнительное исследованиеСтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
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Chiang Michael F, Wang Lu, Busuioc Mihai, Du Yunling E, Chan Patrick, Kane Steven A, Lee Thomas C, Weissgold David J, Berrocal Audina M, Coki Osode, Flynn John T, Starren Justin

Аннотация

OBJECTIVE: To prospectively measure accuracy, reliability, and image quality of telemedical retinopathy of prematurity (ROP) diagnosis.

METHODS: Two-hundred forty-eight eyes from 67 consecutive infants underwent wide-angle retinal imaging by a trained neonatal nurse at 31 to 33 weeks' and/or 35 to 37 weeks' postmenstrual age (PMA) using a standard protocol. Data were uploaded to a Web-based telemedicine system and interpreted by 3 expert retinal specialist graders who provided a diagnosis (no ROP, mild ROP, type 2 prethreshold ROP, treatment-requiring ROP) and an evaluation of image quality for each eye. Findings were compared with a reference standard of indirect ophthalmoscopy by an experienced pediatric ophthalmologist.

RESULTS: At 35 to 37 weeks' PMA, sensitivity and specificity for diagnosis of mild or worse ROP were 0.908 and 1.000 for grader A, 0.971 and 1.000 for grader B, and 0.908 and 0.977 for grader C. Sensitivity and specificity for diagnosis of type 2 prethreshold or worse ROP were 1.000 and 0.943 for grader A, 1.000 and 0.930 for grader B, and 1.000 and 0.851 for grader C. At 35 to 37 weeks' PMA, weighted kappa for intergrader reliability was 0.791 to 0.889, and kappa for intragrader reliability for detection of type 2 prethreshold or worse ROP was 0.769 to 1.000. Image technical quality was rated as "adequate" or "possibly adequate" for diagnosis in 93.3% to 100% of eyes.

CONCLUSION: A telemedicine system using nurse-captured retinal images has the potential to improve existing shortcomings of ROP management, particularly at later PMAs.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты