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CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation

Texture analysis derived from computed tomography (CT) might be able to provide clinically relevant imaging biomarkers and might be associated with histopathological features in tumors. The present study sought to elucidate the possible associations between texture features derived from CT images wi...

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Autores principales: Meyer, Hans-Jonas, Leonhardi, Jakob, Höhn, Anne Kathrin, Pappisch, Johanna, Wirtz, Hubert, Denecke, Timm, Frille, Armin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658090/
https://www.ncbi.nlm.nih.gov/pubmed/34884272
http://dx.doi.org/10.3390/jcm10235571
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author Meyer, Hans-Jonas
Leonhardi, Jakob
Höhn, Anne Kathrin
Pappisch, Johanna
Wirtz, Hubert
Denecke, Timm
Frille, Armin
author_facet Meyer, Hans-Jonas
Leonhardi, Jakob
Höhn, Anne Kathrin
Pappisch, Johanna
Wirtz, Hubert
Denecke, Timm
Frille, Armin
author_sort Meyer, Hans-Jonas
collection PubMed
description Texture analysis derived from computed tomography (CT) might be able to provide clinically relevant imaging biomarkers and might be associated with histopathological features in tumors. The present study sought to elucidate the possible associations between texture features derived from CT images with proliferation index Ki-67 and grading in pulmonary neuroendocrine tumors. Overall, 38 patients (n = 22 females, 58%) with a mean age of 60.8 ± 15.2 years were included into this retrospective study. The texture analysis was performed using the free available Mazda software. All tumors were histopathologically confirmed. In discrimination analysis, “S(1,1)SumEntrp” was significantly different between typical and atypical carcinoids (mean 1.74 ± 0.11 versus 1.79 ± 0.14, p = 0.007). The correlation analysis revealed a moderate positive association between Ki-67 index with the first order parameter kurtosis (r = 0.66, p = 0.001). Several other texture features were associated with the Ki-67 index, the highest correlation coefficient showed “S(4,4)InvDfMom” (r = 0.59, p = 0.004). Several texture features derived from CT were associated with the proliferation index Ki-67 and might therefore be a valuable novel biomarker in pulmonary neuroendocrine tumors. “Sumentrp” might be a promising parameter to aid in the discrimination between typical and atypical carcinoids.
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spelling pubmed-86580902021-12-10 CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation Meyer, Hans-Jonas Leonhardi, Jakob Höhn, Anne Kathrin Pappisch, Johanna Wirtz, Hubert Denecke, Timm Frille, Armin J Clin Med Article Texture analysis derived from computed tomography (CT) might be able to provide clinically relevant imaging biomarkers and might be associated with histopathological features in tumors. The present study sought to elucidate the possible associations between texture features derived from CT images with proliferation index Ki-67 and grading in pulmonary neuroendocrine tumors. Overall, 38 patients (n = 22 females, 58%) with a mean age of 60.8 ± 15.2 years were included into this retrospective study. The texture analysis was performed using the free available Mazda software. All tumors were histopathologically confirmed. In discrimination analysis, “S(1,1)SumEntrp” was significantly different between typical and atypical carcinoids (mean 1.74 ± 0.11 versus 1.79 ± 0.14, p = 0.007). The correlation analysis revealed a moderate positive association between Ki-67 index with the first order parameter kurtosis (r = 0.66, p = 0.001). Several other texture features were associated with the Ki-67 index, the highest correlation coefficient showed “S(4,4)InvDfMom” (r = 0.59, p = 0.004). Several texture features derived from CT were associated with the proliferation index Ki-67 and might therefore be a valuable novel biomarker in pulmonary neuroendocrine tumors. “Sumentrp” might be a promising parameter to aid in the discrimination between typical and atypical carcinoids. MDPI 2021-11-26 /pmc/articles/PMC8658090/ /pubmed/34884272 http://dx.doi.org/10.3390/jcm10235571 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Meyer, Hans-Jonas
Leonhardi, Jakob
Höhn, Anne Kathrin
Pappisch, Johanna
Wirtz, Hubert
Denecke, Timm
Frille, Armin
CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation
title CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation
title_full CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation
title_fullStr CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation
title_full_unstemmed CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation
title_short CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation
title_sort ct texture analysis of pulmonary neuroendocrine tumors—associations with tumor grading and proliferation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658090/
https://www.ncbi.nlm.nih.gov/pubmed/34884272
http://dx.doi.org/10.3390/jcm10235571
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