Dual-energy CT-based radiomics for predicting invasiveness of lung adenocarcinoma appearing as ground-glass nodules.
dual-energy spectral computed tomography
ground-glass nodules
invasion
lung adenocarcinoma
prediction
radiomics
Journal
Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867
Informations de publication
Date de publication:
2023
2023
Historique:
received:
19
04
2023
accepted:
24
07
2023
medline:
28
8
2023
pubmed:
28
8
2023
entrez:
28
8
2023
Statut:
epublish
Résumé
To explore the value of radiomics based on Dual-energy CT (DECT) for discriminating preinvasive or MIA from IA appearing as GGNs before surgery. The retrospective study included 92 patients with lung adenocarcinoma comprising 30 IA and 62 preinvasive-MIA, which were further divided into a training (n=64) and a test set (n=28). Clinical and radiographic features along with quantitative parameters were recorded. Radiomics features were derived from virtual monoenergetic images (VMI), including 50kev and 150kev images. Intraclass correlation coefficients (ICCs), Pearson's correlation analysis and least absolute shrinkage and selection operator (LASSO) penalized logistic regression were conducted to eliminate unstable and redundant features. The performance of the models was evaluated by area under the curve (AUC) and the clinical utility was assessed using decision curve analysis (DCA). The DECT-based radiomics model performed well with an AUC of 0.957 and 0.865 in the training and test set. The clinical-DECT model, comprising sex, age, tumor size, density, smoking, alcohol, effective atomic number, and normalized iodine concentration, had an AUC of 0.929 in the training and 0.719 in the test set. In addition, the radiomics model revealed a higher AUC value and a greater net benefit to patients than the clinical-DECT model. DECT-based radiomics features were valuable in predicting the invasiveness of GGNs, yielding a better predictive performance than the clinical-DECT model.
Identifiants
pubmed: 37637058
doi: 10.3389/fonc.2023.1208758
pmc: PMC10449576
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1208758Informations de copyright
Copyright © 2023 Zheng, Han, Jia, Ding, Zhang, Li, Cao, Zhang, Zhang and Shi.
Déclaration de conflit d'intérêts
Author CD was employed by the company ShuKun BeiJing Technology Co., Ltd. XHZ and XC were employed by Philips Healthcare. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
AJR Am J Roentgenol. 2002 May;178(5):1053-7
pubmed: 11959700
CA Cancer J Clin. 2020 Jan;70(1):7-30
pubmed: 31912902
Lung Cancer. 2014 Jun;84(3):236-41
pubmed: 24679953
Eur J Radiol. 2019 Feb;111:6-13
pubmed: 30691666
Curr Opin Pulm Med. 2014 Jul;20(4):309-16
pubmed: 24811831
Acad Radiol. 2021 Apr;28(4):509-516
pubmed: 32303445
Quant Imaging Med Surg. 2019 Feb;9(2):171-179
pubmed: 30976541
AJR Am J Roentgenol. 2019 Sep;213(3):W114-W122
pubmed: 31082273
Lung Cancer. 2003 Dec;42(3):303-10
pubmed: 14644518
J Thorac Cardiovasc Surg. 2022 Feb;163(2):456-464
pubmed: 33485660
Clin Radiol. 2019 Dec;74(12):933-943
pubmed: 31521324
Transl Lung Cancer Res. 2020 Jun;9(3):484-495
pubmed: 32676312
Radiology. 2016 Dec;281(3):947-957
pubmed: 27347764
Br J Radiol. 2019 Jun;92(1098):20180546
pubmed: 30919651
Radiology. 2007 Oct;245(1):267-75
pubmed: 17885195
Radiology. 2016 Feb;278(2):563-77
pubmed: 26579733
PLoS One. 2014 Aug 07;9(8):e104066
pubmed: 25102064
Neuroradiology. 2022 Feb;64(2):361-369
pubmed: 34860278
Chest. 2013 Oct;144(4):1291-1299
pubmed: 23722583
Eur Radiol. 2021 Feb;31(2):1002-1010
pubmed: 32856165
Cancer. 2013 Apr 1;119(7):1381-5
pubmed: 23440730
J Clin Oncol. 2016 Feb 1;34(4):307-13
pubmed: 26598742
Eur J Radiol. 2017 Mar;88:163-170
pubmed: 28189203
J Clin Med. 2020 Aug 04;9(8):
pubmed: 32759779
Clin Radiol. 2021 Jan;76(1):77.e1-77.e7
pubmed: 33121736
Cancer Control. 2022 Jan-Dec;29:10732748221089408
pubmed: 35848489
Acad Radiol. 2020 May;27(5):624-629
pubmed: 31447258
J Thorac Dis. 2014 Oct;6(Suppl 5):S526-36
pubmed: 25349703
Eur Radiol. 2020 Jul;30(7):3650-3659
pubmed: 32162003
Cancer Res. 2017 Nov 1;77(21):e104-e107
pubmed: 29092951
J Thorac Dis. 2017 Dec;9(12):4967-4978
pubmed: 29312701
Biomed Res Int. 2018 Jun 13;2018:6803971
pubmed: 30009172
Eur J Radiol. 2016 Oct;85(10):1765-1772
pubmed: 27666614
Sci Rep. 2017 Apr 3;7(1):588
pubmed: 28373718
Stat Med. 2012 Dec 20;31(29):3972-81
pubmed: 22764084
Eur Radiol. 2016 Jan;26(1):43-54
pubmed: 25981222
Eur Radiol. 2019 Jun;29(6):2989-2997
pubmed: 30367185
Clin Radiol. 2021 Aug;76(8):627.e23-627.e29
pubmed: 33985770
Radiology. 1996 Aug;200(2):327-31
pubmed: 8685321