PMID- 33276433
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240330
IS  - 2077-0383 (Print)
IS  - 2077-0383 (Electronic)
IS  - 2077-0383 (Linking)
VI  - 9
IP  - 12
DP  - 2020 Dec 2
TI  - Incidence Lung Cancer after a Negative CT Screening in the National Lung 
      Screening Trial: Deep Learning-Based Detection of Missed Lung Cancers.
LID - 10.3390/jcm9123908 [doi]
LID - 3908
AB  - We aimed to analyse the CT examinations of the previous screening round 
      (CT(prev)) in NLST participants with incidence lung cancer and evaluate the value 
      of DL-CAD in detection of missed lung cancers. Thoracic radiologists reviewed 
      CT(prev) in participants with incidence lung cancer, and a DL-CAD analysed 
      CT(prev) according to NLST criteria and the lung CT screening reporting & data 
      system (Lung-RADS) classification. We calculated patient-wise and lesion-wise 
      sensitivities of the DL-CAD in detection of missed lung cancers. As per the NLST 
      criteria, 88% (100/113) of CT(prev) were positive and 74 of them had missed lung 
      cancers. The DL-CAD reported 98% (98/100) of the positive screens as positive and 
      detected 95% (70/74) of the missed lung cancers. As per the Lung-RADS 
      classification, 82% (93/113) of CT(prev) were positive and 60 of them had missed 
      lung cancers. The DL-CAD reported 97% (90/93) of the positive screens as positive 
      and detected 98% (59/60) of the missed lung cancers. The DL-CAD made false 
      positive calls in 10.3% (27/263) of controls, with 0.16 false positive nodules 
      per scan (41/263). In conclusion, the majority of CT(prev) in participants with 
      incidence lung cancers had missed lung cancers, and the DL-CAD detected them with 
      high sensitivity and a limited false positive rate.
FAU - Cho, Jungheum
AU  - Cho J
AUID- ORCID: 0000-0003-3412-0863
AD  - Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 
      13620, Korea.
FAU - Kim, Jihang
AU  - Kim J
AUID- ORCID: 0000-0003-0077-3655
AD  - Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 
      13620, Korea.
FAU - Lee, Kyong Joon
AU  - Lee KJ
AD  - Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 
      13620, Korea.
AD  - AI Research Group, Monitor Corporation, Seoul 06628, Korea.
FAU - Nam, Chang Mo
AU  - Nam CM
AD  - AI Research Group, Monitor Corporation, Seoul 06628, Korea.
FAU - Yoon, Sung Hyun
AU  - Yoon SH
AD  - Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 
      13620, Korea.
FAU - Song, Hwayoung
AU  - Song H
AD  - Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 
      13620, Korea.
FAU - Kim, Junghoon
AU  - Kim J
AUID- ORCID: 0000-0001-7066-8477
AD  - Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 
      13620, Korea.
FAU - Choi, Ye Ra
AU  - Choi YR
AD  - Department of Radiology, Seoul Metropolitan Government-Seoul National University 
      Boramae Medical Center, Seoul 07061, Korea.
FAU - Lee, Kyung Hee
AU  - Lee KH
AUID- ORCID: 0000-0003-2248-2525
AD  - Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 
      13620, Korea.
AD  - Department of Radiology, Seoul National University College of Medicine, Seoul 
      National University Bundang Hospital, Seongnam-si 13620, Korea.
FAU - Lee, Kyung Won
AU  - Lee KW
AD  - Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 
      13620, Korea.
LA  - eng
GR  - 02-2017-055/Seoul National University Bundang Hospital/
PT  - Journal Article
DEP - 20201202
PL  - Switzerland
TA  - J Clin Med
JT  - Journal of clinical medicine
JID - 101606588
PMC - PMC7759925
OTO - NOTNLM
OT  - computer-aided diagnosis
OT  - deep learning
OT  - early detection of cancer
OT  - lung neoplasms
OT  - multidetector computed tomography
COIS- The funder had no role in the design of the study; in the collection, analyses, 
      or interpretation of data; in the writing of the manuscript, or in the decision 
      to publish the results. Jihang Kim, K.J.L. and C.M.N. hold stocks in Monitor 
      Corporation.
EDAT- 2020/12/06 06:00
MHDA- 2020/12/06 06:01
PMCR- 2020/12/02
CRDT- 2020/12/05 01:00
PHST- 2020/11/05 00:00 [received]
PHST- 2020/11/25 00:00 [revised]
PHST- 2020/11/29 00:00 [accepted]
PHST- 2020/12/05 01:00 [entrez]
PHST- 2020/12/06 06:00 [pubmed]
PHST- 2020/12/06 06:01 [medline]
PHST- 2020/12/02 00:00 [pmc-release]
AID - jcm9123908 [pii]
AID - jcm-09-03908 [pii]
AID - 10.3390/jcm9123908 [doi]
PST - epublish
SO  - J Clin Med. 2020 Dec 2;9(12):3908. doi: 10.3390/jcm9123908.