Selim Seker, Tamer Altay, Ece Uysal, Hidayet S Cine, Ahmed Y Yavuz, Idris Avci
{"title":"神经胶质瘤的相关组织病理学和常规/先进MRI技术。","authors":"Selim Seker, Tamer Altay, Ece Uysal, Hidayet S Cine, Ahmed Y Yavuz, Idris Avci","doi":"10.24875/CIRU.23000648","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>We aimed to elucidate the histopathological pre-diagnosis of cranial gliomas with magnetic resonance imaging (MRI) techniques in gliomas.</p><p><strong>Method: </strong>A total of 82 glioma patients were enrolled to our study. Pre-operative conventional MRI images (non-contrast T1/T2/flair/contrast-enhanced T1) and advanced MRI images (DAG and ADC mapping, MRI spectroscopy and perfusion MRI [PMRI]) were analyzed.</p><p><strong>Results: </strong>Conventional MRI alone is useful in radiological pre-evaluation in low-grade glioma in 54.8% and 86.3% in high-grade glioma. Additional advanced MRI techniques were beneficial in comparing low-grade gliomas in 98% and 83.9% in high-grade glioma. On ROC analysis, ADC cutoff value 0.905 mm2/s (p = 0.001), rCBV cutoff value 1.77 (p = 0.001), Cho/NAA cut-off value 2.20 (p = 0.001), and Cho/Cr cutoff value 2.01 (p = 0.001) were achieved. Significant results were obtained when ADC, Cho/NAA, and Cho/Cr were analyzed into four histopathologically grade groups besides (p = 0.001). NAA/Cr values were not significant in pathological grading. rCBV measurements were statistically significant between Grades I and IV and between II and IV.</p><p><strong>Conclusion: </strong>Using additional advanced MRI techniques such as PMRI, magnetic resonance spectroscopy, and DWI with conventional MRI could enhance the accuracy of histopathological grading in cranial glioma.</p>","PeriodicalId":93936,"journal":{"name":"Cirugia y cirujanos","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The correlation histopathological and conventional/advanced MRI techniques in glial tumors.\",\"authors\":\"Selim Seker, Tamer Altay, Ece Uysal, Hidayet S Cine, Ahmed Y Yavuz, Idris Avci\",\"doi\":\"10.24875/CIRU.23000648\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>We aimed to elucidate the histopathological pre-diagnosis of cranial gliomas with magnetic resonance imaging (MRI) techniques in gliomas.</p><p><strong>Method: </strong>A total of 82 glioma patients were enrolled to our study. Pre-operative conventional MRI images (non-contrast T1/T2/flair/contrast-enhanced T1) and advanced MRI images (DAG and ADC mapping, MRI spectroscopy and perfusion MRI [PMRI]) were analyzed.</p><p><strong>Results: </strong>Conventional MRI alone is useful in radiological pre-evaluation in low-grade glioma in 54.8% and 86.3% in high-grade glioma. Additional advanced MRI techniques were beneficial in comparing low-grade gliomas in 98% and 83.9% in high-grade glioma. On ROC analysis, ADC cutoff value 0.905 mm2/s (p = 0.001), rCBV cutoff value 1.77 (p = 0.001), Cho/NAA cut-off value 2.20 (p = 0.001), and Cho/Cr cutoff value 2.01 (p = 0.001) were achieved. Significant results were obtained when ADC, Cho/NAA, and Cho/Cr were analyzed into four histopathologically grade groups besides (p = 0.001). NAA/Cr values were not significant in pathological grading. rCBV measurements were statistically significant between Grades I and IV and between II and IV.</p><p><strong>Conclusion: </strong>Using additional advanced MRI techniques such as PMRI, magnetic resonance spectroscopy, and DWI with conventional MRI could enhance the accuracy of histopathological grading in cranial glioma.</p>\",\"PeriodicalId\":93936,\"journal\":{\"name\":\"Cirugia y cirujanos\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cirugia y cirujanos\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24875/CIRU.23000648\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cirugia y cirujanos","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24875/CIRU.23000648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The correlation histopathological and conventional/advanced MRI techniques in glial tumors.
Objective: We aimed to elucidate the histopathological pre-diagnosis of cranial gliomas with magnetic resonance imaging (MRI) techniques in gliomas.
Method: A total of 82 glioma patients were enrolled to our study. Pre-operative conventional MRI images (non-contrast T1/T2/flair/contrast-enhanced T1) and advanced MRI images (DAG and ADC mapping, MRI spectroscopy and perfusion MRI [PMRI]) were analyzed.
Results: Conventional MRI alone is useful in radiological pre-evaluation in low-grade glioma in 54.8% and 86.3% in high-grade glioma. Additional advanced MRI techniques were beneficial in comparing low-grade gliomas in 98% and 83.9% in high-grade glioma. On ROC analysis, ADC cutoff value 0.905 mm2/s (p = 0.001), rCBV cutoff value 1.77 (p = 0.001), Cho/NAA cut-off value 2.20 (p = 0.001), and Cho/Cr cutoff value 2.01 (p = 0.001) were achieved. Significant results were obtained when ADC, Cho/NAA, and Cho/Cr were analyzed into four histopathologically grade groups besides (p = 0.001). NAA/Cr values were not significant in pathological grading. rCBV measurements were statistically significant between Grades I and IV and between II and IV.
Conclusion: Using additional advanced MRI techniques such as PMRI, magnetic resonance spectroscopy, and DWI with conventional MRI could enhance the accuracy of histopathological grading in cranial glioma.