The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies.
Differentiation
Head and neck squamous cell carcinoma
Histogram analysis
Histological grade
Malignant lymphoma
Texture analysis
Journal
Cancer imaging : the official publication of the International Cancer Imaging Society
ISSN: 1470-7330
Titre abrégé: Cancer Imaging
Pays: England
ID NLM: 101172931
Informations de publication
Date de publication:
04 Feb 2019
04 Feb 2019
Historique:
received:
08
05
2018
accepted:
30
01
2019
entrez:
6
2
2019
pubmed:
6
2
2019
medline:
14
3
2019
Statut:
epublish
Résumé
To assess the utility of histogram and texture analysis of magnetic resonance (MR) fat-suppressed T2-weighted imaging (Fs-T2WI) for the prediction of histological diagnosis of head and neck squamous cell carcinoma (SCC) and malignant lymphoma (ML). The cases of 57 patients with SCC (45 well/moderately and 12 poorly differentiated SCC) and 10 patients with ML were retrospectively analyzed. Quantitative parameters with histogram features (relative mean signal, coefficient of variation, kurtosis and skewness) and gray-level co-occurrence matrix (GLCM) features (contrast, correlation, energy and homogeneity) were calculated using Fs-T2WI data with a manual tumor region of interest (ROI). The following significantly different values were obtained for the total SCC versus ML groups: relative mean signal (3.65 ± 0.86 vs. 2.61 ± 0.49), contrast (72.9 ± 16.2 vs. 49.3 ± 8.7) and homogeneity (2.22 ± 0.25 × 10 Parameters obtained by histogram and texture analysis of Fs-T2WI may be useful for noninvasive prediction of histological type and grade in head and neck malignancy.
Sections du résumé
BACKGROUND
BACKGROUND
To assess the utility of histogram and texture analysis of magnetic resonance (MR) fat-suppressed T2-weighted imaging (Fs-T2WI) for the prediction of histological diagnosis of head and neck squamous cell carcinoma (SCC) and malignant lymphoma (ML).
METHODS
METHODS
The cases of 57 patients with SCC (45 well/moderately and 12 poorly differentiated SCC) and 10 patients with ML were retrospectively analyzed. Quantitative parameters with histogram features (relative mean signal, coefficient of variation, kurtosis and skewness) and gray-level co-occurrence matrix (GLCM) features (contrast, correlation, energy and homogeneity) were calculated using Fs-T2WI data with a manual tumor region of interest (ROI).
RESULTS
RESULTS
The following significantly different values were obtained for the total SCC versus ML groups: relative mean signal (3.65 ± 0.86 vs. 2.61 ± 0.49), contrast (72.9 ± 16.2 vs. 49.3 ± 8.7) and homogeneity (2.22 ± 0.25 × 10
CONCLUSIONS
CONCLUSIONS
Parameters obtained by histogram and texture analysis of Fs-T2WI may be useful for noninvasive prediction of histological type and grade in head and neck malignancy.
Identifiants
pubmed: 30717792
doi: 10.1186/s40644-019-0193-9
pii: 10.1186/s40644-019-0193-9
pmc: PMC6360729
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5Références
Br J Radiol. 2001 Mar;74(879):226-9
pubmed: 11338097
Clin Radiol. 2003 Aug;58(8):621-5
pubmed: 12887955
Oncol Rep. 2004 Jan;11(1):17-23
pubmed: 14654897
Semin Radiat Oncol. 2010 Jan;20(1):52-7
pubmed: 19959031
N Engl J Med. 2010 Jul 1;363(1):24-35
pubmed: 20530316
Head Neck. 2012 Jun;34(6):771-5
pubmed: 21739515
AJNR Am J Neuroradiol. 2012 Apr;33(4):761-6
pubmed: 22173765
Head Neck. 2013 May;35(5):626-31
pubmed: 22605653
Acad Radiol. 2012 Oct;19(10):1233-40
pubmed: 22818788
AJNR Am J Neuroradiol. 2015 Jan;36(1):166-70
pubmed: 25258367
AJNR Am J Neuroradiol. 2015 Jul;36(7):1343-8
pubmed: 25836725
Microsc Microanal. 2015 Jun;21(3):646-54
pubmed: 25857827
Dentomaxillofac Radiol. 2015;44(9):20150074
pubmed: 26054571
Eur J Radiol. 2015 Nov;84(11):2187-93
pubmed: 26277497
Rofo. 2016 Feb;188(2):195-202
pubmed: 26422418
AJNR Am J Neuroradiol. 2016 Feb;37(2):342-8
pubmed: 26427828
World J Radiol. 2016 Jan 28;8(1):90-7
pubmed: 26834947
Cancer Imaging. 2016 Aug 19;16(1):23
pubmed: 27542718
Magn Reson Imaging. 2017 Feb;36:16-23
pubmed: 27989906
AJNR Am J Neuroradiol. 2017 May;38(5):1019-1025
pubmed: 28255033
Br J Cancer. 1996 Feb;73(4):531-8
pubmed: 8595170
Laryngoscope. 1996 Sep;106(9 Pt 1):1170-5
pubmed: 8822725