Q3140539 (Q3140539): Difference between revisions
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(Created claim: summary (P836): Diabetic retinopathy (RD) is the second cause of blindness in the general population and has all the characteristics that justify a screening program. In Andalusia, the Early Detection Program for Diabetic Retinopathy (PDPRD) was launched in 2004, with the aim of detecting and treating RD early in all people with DM without known RD. The PDPRD is based on the telematics connection of the entire health system network with digital non-midriatic re...) |
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Diabetic retinopathy (RD) is the second cause of blindness in the general population and has all the characteristics that justify a screening program. In Andalusia, the Early Detection Program for Diabetic Retinopathy (PDPRD) was launched in 2004, with the aim of detecting and treating RD early in all people with DM without known RD. The PDPRD is based on the telematics connection of the entire health system network with digital non-midriatic retinographs for the practice of screening retinographs. The initial assessment is carried out by the doctors of Primary Care (MAP) and endocrinologists, previously trained, who transfer the dubious or pathological tests to the reference ophthalmologist. 308,048 patients have now been included in PDPRD. We have developed a software for automatic screening of RD from the processing of eye background images that employs advanced artificial vision techniques to provide accurate information about RD lesions in a fully automatic way. Preliminary studies have shown a very high diagnostic performance. This project aims to evaluate the diagnostic capacity of this new system under the conditions of routine clinical practice (PDPRD). In addition, analyse their validity and agreement with professionals; the flows, times and costs and the possibilities of partial or complete replacement of professionals acting at the first level of screening. (English) | |||||||||||||||
| Property / summary: Diabetic retinopathy (RD) is the second cause of blindness in the general population and has all the characteristics that justify a screening program. In Andalusia, the Early Detection Program for Diabetic Retinopathy (PDPRD) was launched in 2004, with the aim of detecting and treating RD early in all people with DM without known RD. The PDPRD is based on the telematics connection of the entire health system network with digital non-midriatic retinographs for the practice of screening retinographs. The initial assessment is carried out by the doctors of Primary Care (MAP) and endocrinologists, previously trained, who transfer the dubious or pathological tests to the reference ophthalmologist. 308,048 patients have now been included in PDPRD. We have developed a software for automatic screening of RD from the processing of eye background images that employs advanced artificial vision techniques to provide accurate information about RD lesions in a fully automatic way. Preliminary studies have shown a very high diagnostic performance. This project aims to evaluate the diagnostic capacity of this new system under the conditions of routine clinical practice (PDPRD). In addition, analyse their validity and agreement with professionals; the flows, times and costs and the possibilities of partial or complete replacement of professionals acting at the first level of screening. (English) / rank | |||||||||||||||
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| Property / summary: Diabetic retinopathy (RD) is the second cause of blindness in the general population and has all the characteristics that justify a screening program. In Andalusia, the Early Detection Program for Diabetic Retinopathy (PDPRD) was launched in 2004, with the aim of detecting and treating RD early in all people with DM without known RD. The PDPRD is based on the telematics connection of the entire health system network with digital non-midriatic retinographs for the practice of screening retinographs. The initial assessment is carried out by the doctors of Primary Care (MAP) and endocrinologists, previously trained, who transfer the dubious or pathological tests to the reference ophthalmologist. 308,048 patients have now been included in PDPRD. We have developed a software for automatic screening of RD from the processing of eye background images that employs advanced artificial vision techniques to provide accurate information about RD lesions in a fully automatic way. Preliminary studies have shown a very high diagnostic performance. This project aims to evaluate the diagnostic capacity of this new system under the conditions of routine clinical practice (PDPRD). In addition, analyse their validity and agreement with professionals; the flows, times and costs and the possibilities of partial or complete replacement of professionals acting at the first level of screening. (English) / qualifier | |||||||||||||||
point in time: 12 October 2021
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Revision as of 13:12, 12 October 2021
Project Q3140539 in Spain
| Language | Label | Description | Also known as |
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| English | No label defined |
Project Q3140539 in Spain |
Statements
15,600.0 Euro
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19,500.0 Euro
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80.0 percent
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1 January 2017
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31 March 2020
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FUNDACION PARA LA GESTION DE LA INVESTIGACION BIOMEDICA DE CADIZ
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36°29'40.92"N, 6°16'2.50"W
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11012
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La retinopatía diabética (RD) es la segunda causa de ceguera en la población general y reúne todas las características que justifican un programa de cribado. En Andalucía, se inició en 2004 el Programa de Detección Precoz de la Retinopatía Diabética (PDPRD), con el objetivo de detectar y tratar de forma precoz la RD, en todas las personas con DM sin RD conocida. El PDPRD se fundamenta en la conexión telemática de toda la red del sistema sanitario con retinógrafos digitales no midriáticos para la práctica de retinografías de cribado. La valoración inicial la realizan los médicos de Atención Primaria (MAP) y Endocrinólogos, previamente formados, que transfieren las pruebas dudosas o patológicas al oftalmólogo de referencia. Actualmente se han incluido en el PDPRD 308.048 pacientes. Hemos desarrollado un software para el cribado automático de RD a partir del procesamiento de las imágenes del fondo de ojo que emplea avanzadas técnicas de visión artificial para proporcionar información precisa sobre lesiones de RD de una forma completamente automática. En estudios preliminares realizados se ha constatado un rendimiento diagnóstico muy elevado. Este Proyecto pretende evaluar la capacidad diagnóstica de este nuevo sistema en las condiciones de práctica clínica habitual (PDPRD). Además, analizar su validez y concordancia frente a los profesionales; los flujos, tiempos y costes y las posibilidades de sustitución parcial o completa de los profesionales que actúan en el primer nivel de cribado. (Spanish)
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Diabetic retinopathy (RD) is the second cause of blindness in the general population and has all the characteristics that justify a screening program. In Andalusia, the Early Detection Program for Diabetic Retinopathy (PDPRD) was launched in 2004, with the aim of detecting and treating RD early in all people with DM without known RD. The PDPRD is based on the telematics connection of the entire health system network with digital non-midriatic retinographs for the practice of screening retinographs. The initial assessment is carried out by the doctors of Primary Care (MAP) and endocrinologists, previously trained, who transfer the dubious or pathological tests to the reference ophthalmologist. 308,048 patients have now been included in PDPRD. We have developed a software for automatic screening of RD from the processing of eye background images that employs advanced artificial vision techniques to provide accurate information about RD lesions in a fully automatic way. Preliminary studies have shown a very high diagnostic performance. This project aims to evaluate the diagnostic capacity of this new system under the conditions of routine clinical practice (PDPRD). In addition, analyse their validity and agreement with professionals; the flows, times and costs and the possibilities of partial or complete replacement of professionals acting at the first level of screening. (English)
12 October 2021
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Cádiz
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Identifiers
PI16_01543
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