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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 (...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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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. |
format | Online Article Text |
id | pubmed-5940412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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