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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

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 (...

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Autores principales: Surov, Alexey, Meyer, Hans Jonas, Leifels, Leonard, Höhn, Anne-Kathrin, Richter, Cindy, Winter, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940412/
https://www.ncbi.nlm.nih.gov/pubmed/29765520
http://dx.doi.org/10.18632/oncotarget.24920
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author Surov, Alexey
Meyer, Hans Jonas
Leifels, Leonard
Höhn, Anne-Kathrin
Richter, Cindy
Winter, Karsten
author_facet Surov, Alexey
Meyer, Hans Jonas
Leifels, Leonard
Höhn, Anne-Kathrin
Richter, Cindy
Winter, Karsten
author_sort Surov, Alexey
collection PubMed
description 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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spelling pubmed-59404122018-05-15 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 Surov, Alexey Meyer, Hans Jonas Leifels, Leonard Höhn, Anne-Kathrin Richter, Cindy Winter, Karsten Oncotarget Research Paper 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. Impact Journals LLC 2018-04-20 /pmc/articles/PMC5940412/ /pubmed/29765520 http://dx.doi.org/10.18632/oncotarget.24920 Text en Copyright: © 2018 Surov et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Surov, Alexey
Meyer, Hans Jonas
Leifels, Leonard
Höhn, Anne-Kathrin
Richter, Cindy
Winter, Karsten
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940412/
https://www.ncbi.nlm.nih.gov/pubmed/29765520
http://dx.doi.org/10.18632/oncotarget.24920
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