CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and Proliferation Article Swipe
Hans‐Jonas Meyer
,
Jakob Leonhardi
,
Anne Kathrin Höhn
,
Johanna Pappisch
,
Hubert Wirtz
,
Timm Denecke
,
Armin Frille
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/jcm10235571
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/jcm10235571
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jcm10235571
- https://www.mdpi.com/2077-0383/10/23/5571/pdf?version=1638246544
- OA Status
- gold
- Cited By
- 10
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3216815105
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https://openalex.org/W3216815105Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/jcm10235571Digital Object Identifier
- Title
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CT Texture Analysis of Pulmonary Neuroendocrine Tumors—Associations with Tumor Grading and ProliferationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-11-26Full publication date if available
- Authors
-
Hans‐Jonas Meyer, Jakob Leonhardi, Anne Kathrin Höhn, Johanna Pappisch, Hubert Wirtz, Timm Denecke, Armin FrilleList of authors in order
- Landing page
-
https://doi.org/10.3390/jcm10235571Publisher landing page
- PDF URL
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https://www.mdpi.com/2077-0383/10/23/5571/pdf?version=1638246544Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2077-0383/10/23/5571/pdf?version=1638246544Direct OA link when available
- Concepts
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Medicine, Grading (engineering), Neuroendocrine tumors, Ki-67, Proliferation index, Pathology, Correlation, Kurtosis, Imaging biomarker, Nuclear medicine, Radiology, Immunohistochemistry, Magnetic resonance imaging, Geometry, Civil engineering, Mathematics, Engineering, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 4, 2023: 2, 2022: 2Per-year citation counts (last 5 years)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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