European Journal of Radiology
Giorgio Maria Masci, Guillaume Chassagnon, Marco Alifano, Camille Tlemsani, Pascaline Boudou-Rouquette, Giuseppe La Torre, Arvin Calinghen, Emma Canniff, Ludovic Fournel, Marie-Pierre Revel
Abstract
Objectives
To evaluate the performance of artificial intelligence (AI) in the preoperative detection of lung metastases on CT.
Materials and methods
Patients who underwent lung metastasectomy in our institution between 2016 and 2020 were enrolled, their preoperative CT reports having been performed before an AI solution (Veye Lung Nodules, version 3.9.2, Aidence) became available as a second reader in our department.
All CT scans were retrospectively processed by AI. The sensitivities of unassisted radiologists (original CT radiology reports), AI reports alone and both combined were compared. Ground truth was established by a consensus reading of two radiologists, who analyzed whether the nodules mentioned in the pathology report were retrospectively visible on CT. Multivariate analysis was performed to identify nodule characteristics associated with detectability.
Results
A total of 167 patients (men: 62.9 %; median age, 59 years [47–68]) with 475 resected nodules were included. AI detected an average of 4 nodules (0–17) per CT, of which 97 % were true nodules. The combination of radiologist plus AI (92.4 %) had significantly higher sensitivity than unassisted radiologists (80.4 %) (p < 0.001). In 27/57 (47.4 %) patients who had multiple preoperative CT scans, AI detected lung nodules earlier than the radiologist. Vascular contact was associated with non-detection by radiologists (OR:0.32[0.19, 0.54], p < 0.001), whilst the presence of cavitation (OR:0.26[0.13, 0.54], p < 0.001) or pleural contact (OR:0.10[0.04, 0.22], p < 0.001) was associated with non-detection by AI.
Conclusion
AI significantly increases the sensitivity of preoperative detection of lung metastases and enables earlier detection, with a significant potential benefit for patient management.
Disclaimers:
Chest Suite comprises multiple applications including Veye Lung Nodules, Veye Reporting, DeepHealth Chest CT AI, DeepHealth Viewer, DeepHealth Reporting, DeepHealth Worklist and HealthCCSng. Veye Lung Nodules and Veye Reporting are manufactured by Aidence B.V. and distributed by DeepHealth Inc. DeepHealth Viewer is manufactured by eRAD, Inc. and distributed by DeepHealth, Inc, HealthCCSng is manufactured by Nanox AI Ltd. and distributed by DeepHealth, Inc, DeepHealth Chest CT AI is 510(k) pending.
Any claims made about Chest Suite may reference claims associated with its individual components.
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