Computer-assisted diagnosis for an early identification of lung cancer in chest X rays
Computer-assisted diagnosis (CAD) algorithms have shown its usefulness for the identification of pulmonary nodules in chest x-rays, but its capability to diagnose lung cancer (LC) is unknown. A CAD algorithm for the identification of pulmonary nodules was created and used on a retrospective cohort o...
| Autores: | , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Institut d'Investigació i Innovació Parc Taulí (I3PT) |
| Repositorio: | r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí |
| OAI Identifier: | oai:i3pt.fundanetsuite.com:p3744 |
| Acceso en línea: | https://i3pt.portalinvestigacion.com/publicaciones/3744 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159738554&doi=10.1038%2fs41598-023-34835-z&partnerID=40&md5=f4584169f9e1831bc3e52ef8df2e0ec7 |
| Access Level: | acceso abierto |
| Palabra clave: | Diagnosis, Computer-Assisted Humans Lung Neoplasms Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Sensitivity and Specificity Solitary Pulmonary Nodule Tomography, X-Ray Computed X-Rays computer assisted diagnosis diagnostic imaging human lung nodule lung tumor multiple pulmonary nodules procedures retrospective study sensitivity and specificity X ray x-ray computed tomography |
| Sumario: | Computer-assisted diagnosis (CAD) algorithms have shown its usefulness for the identification of pulmonary nodules in chest x-rays, but its capability to diagnose lung cancer (LC) is unknown. A CAD algorithm for the identification of pulmonary nodules was created and used on a retrospective cohort of patients with x-rays performed in 2008 and not examined by a radiologist when obtained. X-rays were sorted according to the probability of pulmonary nodule, read by a radiologist and the evolution for the following three years was assessed. The CAD algorithm sorted 20,303 x-rays and defined four subgroups with 250 images each (percentiles >= 98, 66, 33 and 0). Fifty-eight pulmonary nodules were identified in the >= 98 percentile (23,2%), while only 64 were found in lower percentiles (8,5%) (p < 0.001). A pulmonary nodule was confirmed by the radiologist in 39 out of 173 patients in the high-probability group who had follow-up information (22.5%), and in 5 of them a LC was diagnosed with a delay of 11 months (12.8%). In one quarter of the chest x-rays considered as high-probability for pulmonary nodule by a CAD algorithm, the finding is confirmed and corresponds to an undiagnosed LC in one tenth of the cases. |
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