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

Alexey Surov; Hans Jonas Meyer; Leonard Leifels; Anne-Kathrin Höhn; Cindy Richter; Karsten Winter

doi:10.18632/oncotarget.24920

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Research Papers:

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

Alexey Surov _, Hans Jonas Meyer, Leonard Leifels, Anne-Kathrin Höhn, Cindy Richter and Karsten Winter

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Oncotarget. 2018; 9:21070-21077. https://doi.org/10.18632/oncotarget.24920

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Abstract

Alexey Surov1, Hans Jonas Meyer1, Leonard Leifels1, Anne-Kathrin Höhn2, Cindy Richter3 and Karsten Winter3

1Department of Diagnostic and Interventional Radiology, University Hospital of Leipzig, 04103 Leipzig, Germany

2Department of Pathology University Hospital of Leipzig, 04103 Leipzig, Germany

3Institute of Anatomy, University Hospital of Leipzig, 04103 Leipzig, Germany

Correspondence to:

Alexey Surov, email: [email protected]

Keywords: histogram analysis parameters; DCE MRI; proliferation index; cell count; head and neck squamous cell carcinoma

Received: November 03, 2017 Accepted: March 06, 2018 Published: April 20, 2018

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_trans, V_e, and K_ep 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_trans min (p = –0.386, P = 0.043) and s K_trans skewness (p = 0.382, P = 0.045), V_e min (p = –0.473, P = 0.011), Ve entropy (p = 0.424, P = 0.025), and K_ep entropy (p = 0.464, P = 0.013). Cell count correlated with K_trans kurtosis (p = 0.40, P = 0.034), V_e entropy (p = 0.475, P = 0.011). Total nucleic area correlated with V_e max (p = 0.386, P = 0.042) and V_e entropy (p = 0.411, P = 0.030).

In G1/2 tumors, only K_trans entropy correlated well with total (P =0.78, P =0.013) and average nucleic areas (p = 0.655, P = 0.006). In G3 tumors, KI 67 correlated with Ve min (p = –0.552, P = 0.022) and V_e entropy (p = 0.524, P = 0.031). Ve max correlated with total nucleic area (p = 0.483, P = 0.049). Kep max correlated with total area (p = –0.51, P = 0.037), and K_ep entropy with KI 67 (p = 0.567, P = 0.018).

We concluded that histogram-based parameters skewness, kurtosis and entropy of K_trans, V_e, and K_ep can be used as markers for proliferation activity, cellularity and nucleic content in HNSCC. Tumor grading influences significantly associations between perfusion and histopathological parameters.

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Research Papers:

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

Abstract