Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer.
Non-small cell lung cancer
anaplastic lymphoma kinase
convolutional neural networks
deep learning
epidermal growth factor receptor
machine learning
radiomics
semantics
Journal
Exploration of targeted anti-tumor therapy
ISSN: 2692-3114
Titre abrégé: Explor Target Antitumor Ther
Pays: United States
ID NLM: 101770662
Informations de publication
Date de publication:
2023
2023
Historique:
received:
19
12
2022
accepted:
13
04
2023
medline:
25
9
2023
pubmed:
25
9
2023
entrez:
25
9
2023
Statut:
ppublish
Résumé
The aim of this study was to investigate the feasibility of developing a deep learning (DL) algorithm for classifying brain metastases from non-small cell lung cancer (NSCLC) into epidermal growth factor receptor ( Data set of 117 patients was analysed from 2014 to 2018 out of which 33 patients were In this study of 117 patients, the analysis by semantic method showed 79.2% of the patients belonged to Both semantic features and DL model showed comparable accuracy in classifying
Identifiants
pubmed: 37745691
doi: 10.37349/etat.2023.00158
pmc: PMC10511818
doi:
Types de publication
Journal Article
Langues
eng
Pagination
657-668Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
The authors declare that they have no conflicts of interest.
Références
Ann Oncol. 2013 Sep;24(9):2371-6
pubmed: 23723294
Radiology. 2017 Aug;284(2):574-582
pubmed: 28436741
Lancet Oncol. 2011 Feb;12(2):175-80
pubmed: 21277552
Front Comput Neurosci. 2020 Aug 04;14:61
pubmed: 32848682
Eur J Cancer. 2012 Mar;48(4):441-6
pubmed: 22257792
Nat Commun. 2014 Jun 03;5:4006
pubmed: 24892406
Mol Diagn Ther. 2019 Feb;23(1):27-51
pubmed: 30387041
Lung Cancer. 2015 Apr;88(1):108-11
pubmed: 25682925
Neurol Clin. 2003 Feb;21(1):1-23, vii
pubmed: 12690643
Transl Lung Cancer Res. 2016 Jun;5(3):288-300
pubmed: 27413711
Mol Diagn Ther. 2019 Feb;23(1):1-26
pubmed: 30411216
JAMA. 2017 Dec 12;318(22):2211-2223
pubmed: 29234807
Sci Rep. 2015 Jun 05;5:11044
pubmed: 26251068
Front Oncol. 2022 Sep 30;12:879376
pubmed: 36276136
Cell. 2011 Mar 4;144(5):646-74
pubmed: 21376230
J Clin Oncol. 2013 May 20;31(15):1803-5
pubmed: 23589545
J Glob Oncol. 2016 Jul 20;3(3):208-217
pubmed: 28717762
Cancer Epidemiol Biomarkers Prev. 2016 Jan;25(1):16-27
pubmed: 26667886
Clin Cancer Res. 1997 Dec;3(12 Pt 2):2696-702
pubmed: 10068276
Nature. 2017 Feb 2;542(7639):115-118
pubmed: 28117445
Nature. 2008 Oct 23;455(7216):1069-75
pubmed: 18948947
Clin Radiol. 2015 Oct;70(10):1060-82
pubmed: 26187890
Front Oncol. 2022 Oct 03;12:884173
pubmed: 36263203
Nature. 2017 Feb 15;542(7641):348-351
pubmed: 28202961
Adv Exp Med Biol. 2016;893:1-19
pubmed: 26667336
J Thorac Dis. 2013 Oct;5 Suppl 5:S491-7
pubmed: 24163742
Clin Radiol. 2023 Mar;78(3):175-186
pubmed: 36503631
Pneumologie. 2011 Jan;65(1):39-59
pubmed: 21157688
CA Cancer J Clin. 2015 Mar;65(2):87-108
pubmed: 25651787
Front Comput Neurosci. 2020 Feb 18;14:10
pubmed: 32132913
J Mach Learn Biomed Imaging. 2022 Aug;2022:
pubmed: 36998700
Gut. 2019 Apr;68(4):729-741
pubmed: 29730602
Oncotarget. 2017 Nov 06;8(65):108840-108847
pubmed: 29312572