Diagnostic accuracy of a convolutional neural network assessment of solitary pulmonary nodules compared with PET with CT imaging and dynamic contrast-enhanced CT imaging using unenhanced and contrast-enhanced CT imaging

e-pub ahead of print date: 8 September 2022

Published date: 7 February 2023

Additional Information: Funding Information: Author contributions: J. R. W.-M. was involved in the design of the study, delivery of the study, interpretation of the results, and writing of the report. F. J. G. was involved in the design of the study, delivery of the study, interpretation of the results, and writing of the report. S. H. was involved in the design of the study, delivery of the study, statistical analysis, interpretation of the results, and writing of the report. E. D. was involved in the delivery of the study and interpretation of the results. N. R. Q. was involved in the design of the study, delivery of the study, and interpretation of the results. R. C. R. was involved in the design of the study, delivery of the study, and interpretation of the results. F. V. G. was involved in the design of the study and was responsible for recruiting participants. All authors reviewed the final report. Role of sponsors: The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. Beyond the provision of and training in the software, no Optellum employees were involved the study's design, conduct, data analysis or interpretation. ∗ SPUtNIk Investigators: Anindo Banerjee, Lucy Brindle, Matthew Callister, Andrew Clegg, Andrew Cook, Kelly Cozens, Philip Crosbie, Sabina Dizdarevic, Rosemary Eaton, Kathrin Eichhorst, Anthony Frew, Ashley Groves, Sai Han, Jeremy Jones, Osie Kankam, Kavitasagary Karunasaagarar, Lutfi Kurban, Louisa Little, Jackie Madden, Chris McClement, Ken Miles, Patricia Moate, Charles Peebles, Lucy Pike, Fat-Wui Poon, Donald Sinclair, Andrew Shah, Luke Vale, Steve George, Richard Riley, Andrea Lodge, John Buscombe, Theresa Green, Amanda Stone, Neal Navani, Robert Shortman, Gabriella Azzopardi, Sarah Doffman, Janice Bush, Jane Lyttle, Kenneth Jacob, Joris van der Horst, Joseph Sarvesvaran, Barbara McLaren, Lesley Gomersall, Ravi Sharma, Kathleen Collie, Steve O'Hickey, Jayne Tyler, Sue King, John O'Brien, Rajiv Srivastava, Hugh Lloyd-Jones, Sandra Beech, Andrew Scarsbrook, Victoria Ashford-Turner, Elaine Smith, Susan Mbale, Nick Adams, and Gail Pottinger. Data sharing: Individual participant data from the SPUtNIk trial will be made available, including data dictionaries, for approved data sharing requests. Individual participant data will be shared that underlie the results reported in this article, after de-identification and normalization of information (text, tables, figures, and appendixes). The study protocol and statistical analysis plan also will be available. Anonymous data will be available for request from 3 months after publication of the article to researchers who provide a completed data sharing request form that describes a methodologically sound proposal for the purpose of the approved proposal and, if appropriate, have signed a data sharing agreement. Data will be shared after all parties have signed relevant data sharing documentation, covering Southampton Clinical Trials Unit conditions for sharing and, if required, an additional data sharing agreement from the sponsor. Proposals should be directed to ctu@soton.ac.uk. Additional information: The e-Figures and e-Table are available online under “Supplementary Data.” Funding Information: The trial was funded by the National Institute for Health and Care Research Health Technology Assessment Program [Grant 09/22/117] and is being run by Southampton Clinical Trials Unit, which is funded in part by Cancer Research United Kingdom. F. J. G. is an NIHR Senior Investigator. R. C. R. is funded in part by the NIHR Cambridge Biomedical Research Centre, Cancer Research UK Cambridge Centre [Grant BRC-1215-20014], and the Cancer Research Network: Eastern. N. R. Q. is funded in part by the Cambridge Biomedical Research Centre. This research was supported by the NIHR Cambridge Biomedical Research Centre [Grant BRC-1215-20014]. Access to software to generate LCP-CNN scores was provided by Optellum Ltd. Publisher Copyright: © 2022 American College of Chest Physicians

Keywords: Solitary Pulmonary Nodule, TOMOGRAPHY, computed tomography, diagnostic test accuracy, machine learning, positron emission tomoography, x-ray computed

Local EPrints ID: 480093

URI: http://eprints.soton.ac.uk/id/eprint/480093

DOI: doi:10.1016/j.chest.2022.08.2227

ISSN: 0012-3692

PURE UUID: 24aef6fa-d28a-481b-83eb-d5dfe77cbd18

ORCID for Andrew Cook: orcid.org/0000-0002-6680-439X

ORCID for Kelly Cozens: orcid.org/0000-0001-9592-9100

Date deposited: 01 Aug 2023 16:47

Last modified: 18 Mar 2024 03:05