External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Thorax
David R BaldwinFergus V Gleeson

Abstract

Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI algorithm, the lung cancer prediction convolutional neural network (LCP-CNN), with that of the Brock University model, recommended in UK guidelines. A dataset of incidentally detected pulmonary nodules measuring 5-15 mm was collected retrospectively from three UK hospitals for use in a validation study. Ground truth diagnosis for each nodule was based on histology (required for any cancer), resolution, stability or (for pulmonary lymph nodes only) expert opinion. There were 1397 nodules in 1187 patients, of which 234 nodules in 229 (19.3%) patients were cancer. Model discrimination and performance statistics at predefined score thresholds were compared between the Brock model and the LCP-CNN. The area under the curve for LCP-CNN was 89.6% (95% CI 87.6 to 91.5), compared with 86.8% (95% CI 84.3 to 89.1) for the Brock model (p≤0.005). Using the LCP-CNN, we found that 24.5% of nodules scored below the lowest cancer nodule score, compared with 10.9% using the Brock score. Using the predefined thre...Continue Reading

References

Jul 1, 2011·The New England Journal of Medicine·UNKNOWN National Lung Screening Trial Research TeamJoRean D Sicks
Jun 15, 2012·Journal of Thoracic Imaging·Arjun NairAnand Devaraj
Sep 6, 2013·The New England Journal of Medicine·Annette McWilliamsStephen Lam
Apr 14, 2015·Lung Cancer : Journal of the International Association for the Study of Lung Cancer·Ali Al-AmeriMatthew E J Callister
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Jun 18, 2015·Thorax·M E J CallisterUNKNOWN British Thoracic Society Standards of Care Committee
Jul 3, 2015·Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer·Ramón Rami-PortaUNKNOWN IASLC Staging and Prognostic Factors Committee, Advisory Boards and Participating Institutions

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Citations

May 10, 2020·American Journal of Respiratory and Critical Care Medicine·Tobias PeikertFabien Maldonado
Sep 18, 2020·The British Journal of Radiology·Natasha DavendralingamSusan C Shelmerdine
Oct 3, 2020·European Respiratory Review : an Official Journal of the European Respiratory Society·Danai KhemasuwanHenri G Colt
Oct 14, 2020·Nature Reviews. Clinical Oncology·Matthijs OudkerkJohn K Field
Nov 20, 2020·RöFo : Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin·Stefan Delorme, Rudolf Kaaks
Feb 9, 2021·Lung Cancer : Journal of the International Association for the Study of Lung Cancer·Marjolein A HeuvelmansMatthijs Oudkerk
Dec 4, 2020·European Radiology·Daiwei HanRozemarijn Vliegenthart
Jan 30, 2021·Seminars in Nuclear Medicine·Marie Manon Krebs KrarupBarbara Malene Fischer
Jan 31, 2021·Nature Reviews. Cancer·Andreas KleppeHåvard E Danielsen
Mar 12, 2021·European Journal of Nuclear Medicine and Molecular Imaging·Guangyao WuPhilippe Lambin
Mar 12, 2021·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Dongdong GuZhong Xue
Oct 17, 2020·The European Respiratory Journal·Susan FernandesKevin Dhaliwal
Mar 25, 2021·Lung Cancer : Journal of the International Association for the Study of Lung Cancer·Wenhui LvGuangming Lu
Mar 28, 2021·RöFo : Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin·Giulia TringaliMario Silva
Feb 26, 2021·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Kezhong ChenJun Wang
Apr 28, 2021·Clinical Radiology·H M C Cheung, D Rubin
May 12, 2021·Current Opinion in Pulmonary Medicine·Rafael PaezPierre Massion
Nov 11, 2020·Diagnostic and Interventional Imaging·D BlancJ Brehant
Sep 3, 2021·Pediatric Radiology·Steven SchalekampKicky G van Leeuwen

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Methods Mentioned

BETA
biopsy

Software Mentioned

LCP
IDEAL
CNN
Optellum

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