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Updated: Jul 7, 2026

A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
Published on: May 19, 2023
[Detection of pulmonary nodules by computer-aided diagnosis in multidetector computed tomography: preliminary study
Julia Capobianco1, Dany Jasinowodolinski, Gilberto Szarf
1Departamento de Diagnóstico por Imagem, Universidade Federal de São Paulo, São Paulo, SP, Brasil. juliacapobianco@gmail.com
Objectives:
To evaluate the performance of a computer program designed to facilitate the detection of pulmonary nodules using multidetector computed tomography (MDCT) scans of the chest.
Methods:
We evaluated 24 consecutive MDCT scans of the chest at the Fleury Diagnostic Imaging Center during the period from October 7 to October 19 of 2006, using a 64-channel CT scanner. The study comprised 12 females and 12 males, ranging from 35 to 77 years of age (mean, 57.9 years). Double reading and a computer-aided diagnosis (CAD) system were used in order to perform two independent analyses of the data. The nodules found using both methods were recorded, and the data were compared.
Results:
The total sensitivity of CAD for the detection of nodules was 16.5%, increasing to 55% when nodules <4 mm in diameter were excluded. Sensitivity by diameter was 6.5% for nodules <4 mm, 45% for nodules of 4-6 mm, 100% for nodules of 6 mm-10 cm, and 0% for nodules >1 cm. More than 99% of true nodules detected by CAD were registered in the image double reading process.
Conclusions:
In this preliminary 24-case study, the sensitivity of computer program tested was not significantly greater than that of the double-reading process that is routinely performed in this facility.
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