» Articles » PMID: 29765520

Histogram Analysis Parameters of Dynamic Contrast-enhanced Magnetic Resonance Imaging Can Predict Histopathological Findings Including Proliferation Potential, Cellularity, and Nucleic Areas in Head and Neck Squamous Cell Carcinoma

Overview
Journal Oncotarget
Specialty Oncology
Date 2018 May 17
PMID 29765520
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Our purpose was to analyze possible associations between histogram analysis parameters of dynamic contrast-enhanced magnetic resonance imaging DCE MRI and histopathological findings like proliferation index, cell count and nucleic areas in head and neck squamous cell carcinoma (HNSCC). 30 patients (mean age 57.0 years) with primary HNSCC were included in the study. In every case, histogram analysis parameters of K, V, and K were estimated using a mathlab based software. Tumor proliferation index, cell count, and nucleic areas were estimated on Ki 67 antigen stained specimens. Spearman's non-parametric rank sum correlation coefficients were calculated between DCE and different histopathological parameters. KI 67 correlated with K min ( = -0.386, = 0.043) and s K skewness ( = 0.382, = 0.045), V min ( = -0.473, = 0.011), Ve entropy ( = 0.424, = 0.025), and K entropy ( = 0.464, = 0.013). Cell count correlated with K kurtosis ( = 0.40, = 0.034), V entropy ( = 0.475, = 0.011). Total nucleic area correlated with V max ( = 0.386, = 0.042) and V entropy ( = 0.411, = 0.030). In G1/2 tumors, only K entropy correlated well with total ( =0.78, =0.013) and average nucleic areas ( = 0.655, = 0.006). In G3 tumors, KI 67 correlated with Ve min ( = -0.552, = 0.022) and V entropy ( = 0.524, = 0.031). Ve max correlated with total nucleic area ( = 0.483, = 0.049). Kep max correlated with total area ( = -0.51, = 0.037), and K entropy with KI 67 ( = 0.567, = 0.018). We concluded that histogram-based parameters skewness, kurtosis and entropy of K, V, and K can be used as markers for proliferation activity, cellularity and nucleic content in HNSCC. Tumor grading influences significantly associations between perfusion and histopathological parameters.

Citing Articles

The Prediction of Biological Features Using Magnetic Resonance Imaging in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.

van der Hulst H, Jansen R, Vens C, Bos P, Schats W, de Jong M Cancers (Basel). 2023; 15(20).

PMID: 37894447 PMC: 10605807. DOI: 10.3390/cancers15205077.


Optimal time for early therapeutic response prediction in nasopharyngeal carcinoma with functional magnetic resonance imaging.

Mui A, Lee A, Ng W, Lee V, Vardhanabhuti V, Man S Phys Imaging Radiat Oncol. 2023; 27:100458.

PMID: 37457666 PMC: 10339040. DOI: 10.1016/j.phro.2023.100458.


Associations between dynamic-contrast enhanced MRI and tumor infiltrating lymphocytes and tumor-stroma ratio in head and neck squamous cell cancer.

Meyer H, Hohn A, Surov A Cancer Imaging. 2021; 21(1):60.

PMID: 34801089 PMC: 8606096. DOI: 10.1186/s40644-021-00429-z.


Dynamic contrast-enhanced MRI as a predictor of programmed death ligand-1 expression in patients with oral squamous cell carcinoma.

Tekiki N, Fujita M, Okui T, Kawai H, Oo M, Kawazu T Oncol Lett. 2021; 22(5):778.

PMID: 34594419 PMC: 8456498. DOI: 10.3892/ol.2021.13039.


Preoperative histogram parameters of dynamic contrast-enhanced MRI as a potential imaging biomarker for assessing the expression of Ki-67 in prostate cancer.

Zhang Y, Li Z, Gao C, Shen J, Chen M, Liu Y Cancer Med. 2021; 10(13):4240-4249.

PMID: 34117733 PMC: 8267123. DOI: 10.1002/cam4.3912.


References
1.
Puech P, Potiron E, Lemaitre L, Leroy X, Haber G, Crouzet S . Dynamic contrast-enhanced-magnetic resonance imaging evaluation of intraprostatic prostate cancer: correlation with radical prostatectomy specimens. Urology. 2009; 74(5):1094-9. DOI: 10.1016/j.urology.2009.04.102. View

2.
Surov A, Stumpp P, Meyer H, Gawlitza M, Hohn A, Boehm A . Simultaneous (18)F-FDG-PET/MRI: Associations between diffusion, glucose metabolism and histopathological parameters in patients with head and neck squamous cell carcinoma. Oral Oncol. 2016; 58:14-20. DOI: 10.1016/j.oraloncology.2016.04.009. View

3.
Bernstein J, Homer J, West C . Dynamic contrast-enhanced magnetic resonance imaging biomarkers in head and neck cancer: potential to guide treatment? A systematic review. Oral Oncol. 2014; 50(10):963-70. DOI: 10.1016/j.oraloncology.2014.07.011. View

4.
Chan S, Cheng N, Hsieh C, Ng S, Lin C, Yen T . Multiparametric imaging using F-FDG PET/CT heterogeneity parameters and functional MRI techniques: prognostic significance in patients with primary advanced oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiotherapy. Oncotarget. 2017; 8(37):62606-62621. PMC: 5617533. DOI: 10.18632/oncotarget.15904. View

5.
Guo W, Luo D, Chen X, Lin M, Li L, Zhao Y . Dynamic contrast-enhanced magnetic resonance imaging for pretreatment prediction of early chemo-radiotherapy response in larynx and hypopharynx carcinoma. Oncotarget. 2016; 8(20):33836-33843. PMC: 5464915. DOI: 10.18632/oncotarget.12952. View