A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies
European Radiology Dec 16, 2018
Vassallo L, et al. - Three radiologists, between September 2015 and March 2016, used a cloud-based system to compare unassisted and computer-aided detection (CAD)-assisted detection and time efficiency of radiologists in reporting lung nodules on CT scan taken from 225 subjects with extra-thoracic malignancies. They measured all nodules detected by unassisted reading coordinates were uploaded on a cloud-based system. Written informed consent was signed from all participants and compared Reader detection rate and reporting time with and without CAD. They observed 85% stand-alone CAD sensitivity for lesions ≥ 3 mm; 3.8 mean false-positive rates per scan. Sensitivity was detected higher across readers in recognizing lesions ≥ 3 mm. They observed CAD-assisted reading improved detection of ≥ 3-mm lung nodules on CT and reading time increased by 11% using CAD in cases with extra-thoracic malignancies.
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