先进的弥散成像技术揭示了原发性中枢神经系统淋巴瘤的微观结构特征,可将其与胶质母细胞瘤区分开来

IF 3.7 Q1 CLINICAL NEUROLOGY
U. Würtemberger, M. Diebold, A. Rau, Veysel Akgün, L. Becker, J. Beck, P. Reinacher, Christian A Taschner, Marco Reisert, Luca Fehrenbacher, D. Erny, Florian Scherer, M. Hohenhaus, H. Urbach, T. Demerath
{"title":"先进的弥散成像技术揭示了原发性中枢神经系统淋巴瘤的微观结构特征,可将其与胶质母细胞瘤区分开来","authors":"U. Würtemberger, M. Diebold, A. Rau, Veysel Akgün, L. Becker, J. Beck, P. Reinacher, Christian A Taschner, Marco Reisert, Luca Fehrenbacher, D. Erny, Florian Scherer, M. Hohenhaus, H. Urbach, T. Demerath","doi":"10.1093/noajnl/vdae093","DOIUrl":null,"url":null,"abstract":"\n \n \n Primary CNS lymphoma (PCNSL) and glioblastoma (GBM) both represent frequent intracranial malignancies with differing clinical management. However, distinguishing PCNSL from GBM with conventional MRI can be challenging when atypical imaging features are present. We employed advanced dMRI for non-invasive characterization of the microstructure of PCNSL and differentiation from GBM as the most frequent primary brain malignancy.\n \n \n \n Multiple dMRI metrics including DTI, NODDI and DMI were extracted from the contrast-enhancing tumor component in 10 PCNSL and 10 age-matched GBM on 3T MRI. Imaging findings were correlated with cell density and axonal markers obtained from histopathology.\n \n \n \n We found significantly increased intraaxonal volume fractions (V-intra, ICVF) and microFA in PCNSL compared to GBM (all p<0.001). In contrast, mean (MD) and axial diffusivity (aD), and microADC (all p<0.001), and also free water fractions (V-CSF, V-ISO) were significantly lower in PCNSL (all p<0.01). ROC analysis revealed high predictive values regarding the presence of a PCNSL for MD, aD, microADC, V-intra, ICVF, microFA, V-CSF and V-ISO (AUC in all >0.840, highest for MD and ICVF with an AUC of 0.960). Comparative histopathology between PCNSL and GBM revealed a significantly increased cell density in PCNSL and the presence of axonal remnants in a higher proportion of samples.\n \n \n \n Advanced diffusion imaging enables the characterization of the microstructure of PCNSL and reliably distinguishes PCNSL from GBM. Both imaging and histopathology revealed a relatively increased cell density and a preserved axonal microstructure in PCNSL.\n","PeriodicalId":94157,"journal":{"name":"Neuro-oncology advances","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advanced diffusion imaging reveals microstructural characteristics of primary CNS lymphoma, allowing differentiation from glioblastoma\",\"authors\":\"U. Würtemberger, M. Diebold, A. Rau, Veysel Akgün, L. Becker, J. Beck, P. Reinacher, Christian A Taschner, Marco Reisert, Luca Fehrenbacher, D. Erny, Florian Scherer, M. Hohenhaus, H. Urbach, T. Demerath\",\"doi\":\"10.1093/noajnl/vdae093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\n Primary CNS lymphoma (PCNSL) and glioblastoma (GBM) both represent frequent intracranial malignancies with differing clinical management. However, distinguishing PCNSL from GBM with conventional MRI can be challenging when atypical imaging features are present. We employed advanced dMRI for non-invasive characterization of the microstructure of PCNSL and differentiation from GBM as the most frequent primary brain malignancy.\\n \\n \\n \\n Multiple dMRI metrics including DTI, NODDI and DMI were extracted from the contrast-enhancing tumor component in 10 PCNSL and 10 age-matched GBM on 3T MRI. Imaging findings were correlated with cell density and axonal markers obtained from histopathology.\\n \\n \\n \\n We found significantly increased intraaxonal volume fractions (V-intra, ICVF) and microFA in PCNSL compared to GBM (all p<0.001). In contrast, mean (MD) and axial diffusivity (aD), and microADC (all p<0.001), and also free water fractions (V-CSF, V-ISO) were significantly lower in PCNSL (all p<0.01). ROC analysis revealed high predictive values regarding the presence of a PCNSL for MD, aD, microADC, V-intra, ICVF, microFA, V-CSF and V-ISO (AUC in all >0.840, highest for MD and ICVF with an AUC of 0.960). Comparative histopathology between PCNSL and GBM revealed a significantly increased cell density in PCNSL and the presence of axonal remnants in a higher proportion of samples.\\n \\n \\n \\n Advanced diffusion imaging enables the characterization of the microstructure of PCNSL and reliably distinguishes PCNSL from GBM. Both imaging and histopathology revealed a relatively increased cell density and a preserved axonal microstructure in PCNSL.\\n\",\"PeriodicalId\":94157,\"journal\":{\"name\":\"Neuro-oncology advances\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuro-oncology advances\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.1093/noajnl/vdae093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology advances","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.1093/noajnl/vdae093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

原发性中枢神经系统淋巴瘤(PCNSL)和胶质母细胞瘤(GBM)都是常见的颅内恶性肿瘤,临床治疗方法各不相同。然而,当出现非典型成像特征时,用传统磁共振成像技术将 PCNSL 与 GBM 区分开来可能具有挑战性。我们采用先进的 dMRI 对 PCNSL 的微观结构进行无创鉴定,并将其与最常见的原发性脑恶性肿瘤 GBM 区分开来。 在 3T 磁共振成像上,我们从 10 个 PCNSL 和 10 个年龄匹配的 GBM 的对比增强肿瘤成分中提取了多种 dMRI 指标,包括 DTI、NODDI 和 DMI。成像结果与组织病理学获得的细胞密度和轴突标记相关。 我们发现,与 GBM 相比,PCNSL 的轴突内体积分数(V-intra,ICVF)和微FA 明显增加(均 p0.840,MD 和 ICVF 最高,AUC 为 0.960)。PCNSL 和 GBM 的组织病理学比较显示,PCNSL 的细胞密度明显增加,且更高比例的样本中存在轴突残余。 先进的弥散成像技术可确定 PCNSL 的微观结构特征,并可靠地区分 PCNSL 和 GBM。成像和组织病理学均显示 PCNSL 的细胞密度相对增高,轴突微结构保留。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced diffusion imaging reveals microstructural characteristics of primary CNS lymphoma, allowing differentiation from glioblastoma
Primary CNS lymphoma (PCNSL) and glioblastoma (GBM) both represent frequent intracranial malignancies with differing clinical management. However, distinguishing PCNSL from GBM with conventional MRI can be challenging when atypical imaging features are present. We employed advanced dMRI for non-invasive characterization of the microstructure of PCNSL and differentiation from GBM as the most frequent primary brain malignancy. Multiple dMRI metrics including DTI, NODDI and DMI were extracted from the contrast-enhancing tumor component in 10 PCNSL and 10 age-matched GBM on 3T MRI. Imaging findings were correlated with cell density and axonal markers obtained from histopathology. We found significantly increased intraaxonal volume fractions (V-intra, ICVF) and microFA in PCNSL compared to GBM (all p<0.001). In contrast, mean (MD) and axial diffusivity (aD), and microADC (all p<0.001), and also free water fractions (V-CSF, V-ISO) were significantly lower in PCNSL (all p<0.01). ROC analysis revealed high predictive values regarding the presence of a PCNSL for MD, aD, microADC, V-intra, ICVF, microFA, V-CSF and V-ISO (AUC in all >0.840, highest for MD and ICVF with an AUC of 0.960). Comparative histopathology between PCNSL and GBM revealed a significantly increased cell density in PCNSL and the presence of axonal remnants in a higher proportion of samples. Advanced diffusion imaging enables the characterization of the microstructure of PCNSL and reliably distinguishes PCNSL from GBM. Both imaging and histopathology revealed a relatively increased cell density and a preserved axonal microstructure in PCNSL.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信