Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
14 02 2019
14 02 2019
Historique:
received:
03
07
2018
accepted:
11
12
2018
entrez:
16
2
2019
pubmed:
16
2
2019
medline:
12
9
2020
Statut:
epublish
Résumé
To evaluate the relative contribution of different Magnetic Resonance Imaging (MRI) sequences for the extraction of radiomics features in a cohort of patients with lacrimal gland tumors. This prospective study was approved by the Institutional Review Board and signed informed consent was obtained from all participants. From December 2015 to April 2017, 37 patients with lacrimal gland lesions underwent MRI before surgery, including axial T1-WI, axial Diffusion-WI, coronal DIXON-T2-WI and coronal post-contrast DIXON-T1-WI. Two readers manually delineated both lacrimal glands to assess inter-observer reproducibility, and one reader performed two successive delineations to assess intra-observer reproducibility. Radiomics features were extracted using an in-house software to calculate 85 features per region-of-interest (510 features/patient). Reproducible features were defined as features presenting both an intra-class correlation coefficient ≥0.8 and a concordance correlation coefficient ≥0.9 across combinations of the three delineations. Among these features, the ones yielding redundant information were identified as clusters using hierarchical clustering based on the Spearman correlation coefficient. All the MR sequences provided reproducible radiomics features (range 14(16%)-37(44%)) and non-redundant clusters (range 5-14). The highest numbers of features and clusters were provided by the water and in-phase DIXON T2-WI and water and in-phase post-contrast DIXON T1-WI (37, 26, 26 and 26 features and 14,12, 9 and 11 clusters, respectively). A total of 145 reproducible features grouped into 51 independent clusters was provided by pooling all the MR sequences. All MRI sequences provided reproducible radiomics features yielding independent information which could potentially serve as biomarkers.
Identifiants
pubmed: 30765732
doi: 10.1038/s41598-018-37984-8
pii: 10.1038/s41598-018-37984-8
pmc: PMC6376058
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2068Références
AJNR Am J Neuroradiol. 2009 Jan;30(1):42-5
pubmed: 18653688
Nature. 2011 Jan 13;469(7329):156-7
pubmed: 21228852
Eur J Cancer. 2012 Mar;48(4):441-6
pubmed: 22257792
Magn Reson Imaging. 2012 Nov;30(9):1234-48
pubmed: 22898692
Acta Oncol. 2013 Oct;52(7):1391-7
pubmed: 24047337
Transl Oncol. 2014 Feb 01;7(1):72-87
pubmed: 24772210
AJNR Am J Neuroradiol. 2014 Oct;35(10):1976-82
pubmed: 24874530
Nat Commun. 2014 Jun 03;5:4006
pubmed: 24892406
PLoS One. 2014 Jul 15;9(7):e102107
pubmed: 25025374
Insights Imaging. 2015 Apr;6(2):141-55
pubmed: 25763994
Invest Radiol. 2015 Nov;50(11):757-65
pubmed: 26115366
Radiology. 2015 Dec;277(3):813-25
pubmed: 26267831
Radiother Oncol. 2015 Dec;117(3):542-7
pubmed: 26475252
Radiology. 2016 Feb;278(2):563-77
pubmed: 26579733
Eur J Radiol. 2016 Feb;85(2):324-36
pubmed: 26781137
Radiology. 2016 Nov;281(2):382-391
pubmed: 27144536
Biometrics. 1989 Mar;45(1):255-68
pubmed: 2720055
Phys Med Biol. 2016 Jul 7;61(13):R150-66
pubmed: 27269645
BMC Cancer. 2016 Aug 08;16:611
pubmed: 27502180
JAMA Oncol. 2016 Dec 1;2(12):1636-1642
pubmed: 27541161
Br J Radiol. 2017 Feb;90(1070):20160665
pubmed: 27936886
Lancet. 1986 Feb 8;1(8476):307-10
pubmed: 2868172
Radiother Oncol. 2017 Oct;125(1):147-153
pubmed: 28797700
Nat Rev Clin Oncol. 2017 Dec;14(12):749-762
pubmed: 28975929
Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:612-615
pubmed: 29059947
Eur J Radiol. 2018 Jan;98:100-106
pubmed: 29279146
J Magn Reson Imaging. 2018 Oct;48(4):916-926
pubmed: 29394005
Neuro Oncol. 2018 Aug 2;20(9):1251-1261
pubmed: 29438500