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To compare the diagnostic performance and time efficiency of Computer-Aided Detection (CAD) assisted reading for the identification of pulmonary nodules in chest Computed Tomography (CT) from oncological patients with that of unassisted reading.
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The main aim of this study is to compare the diagnostic performance of CAD assisted interpretation with that of unassisted reading in the detection of lung metastases in consecutive patients staged for extrathoracic malignancies. This study also aims at validating a new Web/Cloud based workflow for the use of CAD systems in clinical practice, not requiring installation of additional software or hardware and potentially representing a cost-effective CAD solution for clinical facilities.
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237 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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