Park, Sohee
Park, Hyunho
Lee, Sang Min http://orcid.org/0000-0001-7627-2000
Ahn, Yura
Kim, Wooil
Jung, Kyuhwan
Seo, Joon Beom
Funding for this research was provided by:
Ministry of Health and Welfare (HI18C0673)
Article History
Received: 10 April 2021
Revised: 19 June 2021
Accepted: 6 July 2021
First Online: 30 July 2021
Declarations
:
: The scientific guarantor of this publication is Sang Min Lee.
: Two of the authors of this manuscript (Hyunho Park and Kyuhwan Jung) belong to VUNO Inc., Seoul, South Korea, but they were not involved in the data analysis, and they did not control the data. Otherwise, none of the authors have conflicts of interest and all authors have read and approved this manuscript.
: Seo Young Park, who is a statistician in Asan medical center, provided statistical advice for this manuscript.
: All study cases were derived from the National Lung Cancer Screening Trial (NLST) and all participants provided informed consent.
: The NLST was approved by the institutional review board of all participating centers.
: All of our study patients (200 out of 200) were reported in a previous retrospective study, which built a deep learning-based computer-aided diagnosis system performing lung cancer risk categorization tasks and evaluated its performance for lung cancer screening (reference CitationRef removed, End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nat Med 25:954-961).
: • retrospective• observational• performed at one institution