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Utility of texture analysis for objective quantitative ex vivo assessment of meningioma consistency: method proposal and validation
M. Černý, V. Lesáková, J. Soukup, V. Sedlák, L. Šíma, M. May, D. Netuka, F. Štěpánek, V. Beneš
Language English Country Austria
Document type Journal Article
Grant support
NV19-04-00272
Ministerstvo Zdravotnictví Ceské Republiky
BBMRI-CZ LM2023033
Ministerstvo Zdravotnictví Ceské Republiky
Cooperatio Program
Univerzita Karlova v Praze
EF16_013/0001674
European Regional Development Fund-Project BBMRI-CZ Biobank network
MO1012
Ministerstvo Obrany České Republiky
NLK
ProQuest Central
from 1997-01-01
Medline Complete (EBSCOhost)
from 2000-01-01 to 1 year ago
Health & Medicine (ProQuest)
from 1997-01-01
Springer Nature OA/Free Journals
from 1950-02-01
- MeSH
- Collagen MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods MeSH
- Meningeal Neoplasms * surgery pathology MeSH
- Meningioma * diagnostic imaging surgery pathology MeSH
- Reticulin MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
BACKGROUND: Tumor consistency is considered to be a critical factor for the surgical removal of meningiomas and its preoperative assessment is intensively studied. A significant drawback in the research of predictive methods is the lack of a clear shared definition of tumor consistency, with most authors resorting to subjective binary classification labeling the samples as "soft" and "hard." This classification is highly observer-dependent and its discrete nature fails to capture the fine nuances in tumor consistency. To compensate for these shortcomings, we examined the utility of texture analysis to provide an objective observer-independent continuous measure of meningioma consistency. METHODS: A total of 169 texturometric measurements were conducted using the Brookfield CT3 Texture Analyzer on meningioma samples from five patients immediately after the removal and on the first, second, and seventh postoperative day. The relationship between measured stiffness and time from sample extraction, subjectively assessed consistency grade and histopathological features (amount of collagen and reticulin fibers, presence of psammoma bodies, predominant microscopic morphology) was analyzed. RESULTS: The stiffness measurements exhibited significantly lower variance within a sample than among samples (p = 0.0225) and significant increase with a higher objectively assessed consistency grade (p = 0.0161, p = 0.0055). A significant negative correlation was found between the measured stiffness and the time from sample extraction (p < 0.01). A significant monotonic relationship was revealed between stiffness values and amount of collagen I and reticulin fibers; there were no statistically significant differences between histological phenotypes in regard to presence of psammoma bodies and predominant microscopic morphology. CONCLUSIONS: We conclude that the values yielded by texture analysis are highly representative of an intrinsic consistency-related quality of the sample despite the influence of intra-sample heterogeneity and that our proposed method can be used to conduct quantitative studies on the role of meningioma consistency.
1st Faculty of Medicine Charles University Prague Czech Republic
Department of Chemical Engineering University of Chemistry and Technology Prague Czech Republic
Department of Neurosurgery and Neurooncology Military University Hospital Prague Czech Republic
Department of Pathology Military University Hospital Prague Czech Republic
Department of Radiodiagnostics Military University Hospital Prague Czech Republic
References provided by Crossref.org
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- $a BACKGROUND: Tumor consistency is considered to be a critical factor for the surgical removal of meningiomas and its preoperative assessment is intensively studied. A significant drawback in the research of predictive methods is the lack of a clear shared definition of tumor consistency, with most authors resorting to subjective binary classification labeling the samples as "soft" and "hard." This classification is highly observer-dependent and its discrete nature fails to capture the fine nuances in tumor consistency. To compensate for these shortcomings, we examined the utility of texture analysis to provide an objective observer-independent continuous measure of meningioma consistency. METHODS: A total of 169 texturometric measurements were conducted using the Brookfield CT3 Texture Analyzer on meningioma samples from five patients immediately after the removal and on the first, second, and seventh postoperative day. The relationship between measured stiffness and time from sample extraction, subjectively assessed consistency grade and histopathological features (amount of collagen and reticulin fibers, presence of psammoma bodies, predominant microscopic morphology) was analyzed. RESULTS: The stiffness measurements exhibited significantly lower variance within a sample than among samples (p = 0.0225) and significant increase with a higher objectively assessed consistency grade (p = 0.0161, p = 0.0055). A significant negative correlation was found between the measured stiffness and the time from sample extraction (p < 0.01). A significant monotonic relationship was revealed between stiffness values and amount of collagen I and reticulin fibers; there were no statistically significant differences between histological phenotypes in regard to presence of psammoma bodies and predominant microscopic morphology. CONCLUSIONS: We conclude that the values yielded by texture analysis are highly representative of an intrinsic consistency-related quality of the sample despite the influence of intra-sample heterogeneity and that our proposed method can be used to conduct quantitative studies on the role of meningioma consistency.
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