The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies.


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
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

5

Références

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

Auteurs

Noriyuki Fujima (N)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, 0608638, Japan. Noriyuki.Fujima@mb9.seikyou.ne.jp.

Akihiro Homma (A)

Department of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, N15 W7, Kita-Ku, Sapporo, 0608638, Japan.

Taisuke Harada (T)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, 0608638, Japan.

Yukie Shimizu (Y)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, 0608638, Japan.

Khin Khin Tha (KK)

Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, N15 W7, Kita-Ku, Sapporo, 0608638, Japan.
The Global Station for Quantum Medical Science and Engineering, Global Institution for collaborative research and education, N15 W8, Kita-Ku, Sapporo, 0608638, Japan.

Satoshi Kano (S)

Department of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, N15 W7, Kita-Ku, Sapporo, 0608638, Japan.

Takatsugu Mizumachi (T)

Department of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, N15 W7, Kita-Ku, Sapporo, 0608638, Japan.

Ruijiang Li (R)

The Global Station for Quantum Medical Science and Engineering, Global Institution for collaborative research and education, N15 W8, Kita-Ku, Sapporo, 0608638, Japan.
Department of Radiation Oncology, Stanford University, 875 Blake Wilbur Drive, Stanford, 94305-5847, CA, USA.

Kohsuke Kudo (K)

Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, 0608638, Japan.

Hiroki Shirato (H)

Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, N15 W7, Kita-Ku, Sapporo, 0608638, Japan.
The Global Station for Quantum Medical Science and Engineering, Global Institution for collaborative research and education, N15 W8, Kita-Ku, Sapporo, 0608638, Japan.

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