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从神经外科手术规划到组织病理学脑肿瘤特征分析:弓状束全程弥散张量成像纤维束示踪测量的潜力

From Neurosurgical Planning to Histopathological Brain Tumor Characterization: Potentialities of Arcuate Fasciculus Along-Tract Diffusion Tensor Imaging Tractography Measures.

作者信息

Zoli Matteo, Talozzi Lia, Martinoni Matteo, Manners David N, Badaloni Filippo, Testa Claudia, Asioli Sofia, Mitolo Micaela, Bartiromo Fiorina, Rochat Magali Jane, Fabbri Viscardo Paolo, Sturiale Carmelo, Conti Alfredo, Lodi Raffaele, Mazzatenta Diego, Tonon Caterina

机构信息

Pituitary Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.

Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.

出版信息

Front Neurol. 2021 Feb 26;12:633209. doi: 10.3389/fneur.2021.633209. eCollection 2021.

DOI:10.3389/fneur.2021.633209
PMID:33716935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7952864/
Abstract

Tractography has been widely adopted to improve brain gliomas' surgical planning and guide their resection. This study aimed to evaluate state-of-the-art of arcuate fasciculus (AF) tractography for surgical planning and explore the role of along-tract analyses for characterizing tumor histopathology. High angular resolution diffusion imaging (HARDI) images were acquired for nine patients with tumors located in or near language areas (age: 41 ± 14 years, mean ± standard deviation; five males) and 32 healthy volunteers (age: 39 ± 16 years; 16 males). Phonemic fluency task fMRI was acquired preoperatively for patients. AF tractography was performed using constrained spherical deconvolution diffusivity modeling and probabilistic fiber tracking. Along-tract analyses were performed, dividing the AF into 15 segments along the length of the tract defined using the Laplacian operator. For each AF segment, diffusion tensor imaging (DTI) measures were compared with those obtained in healthy controls (HCs). The hemispheric laterality index (LI) was calculated from language task fMRI activations in the frontal, parietal, and temporal lobe parcellations. Tumors were grouped into low/high grade (LG/HG). Four tumors were LG gliomas (one dysembryoplastic neuroepithelial tumor and three glioma grade II) and five HG gliomas (two grade III and three grade IV). For LG tumors, gross total removal was achieved in all but one case, for HG in two patients. Tractography identified the AF trajectory in all cases. Four along-tract DTI measures potentially discriminated LG and HG tumor patients (false discovery rate < 0.1): the number of abnormal MD and RD segments, median AD, and MD measures. Both a higher number of abnormal AF segments and a higher AD and MD measures were associated with HG tumor patients. Moreover, correlations (unadjusted < 0.05) were found between the parietal lobe LI and the DTI measures, which discriminated between LG and HG tumor patients. In particular, a more rightward parietal lobe activation (LI < 0) correlated with a higher number of abnormal MD segments ( = -0.732) and RD segments ( = -0.724). AF tractography allows to detect the course of the tract, favoring the safer-as-possible tumor resection. Our preliminary study shows that along-tract DTI metrics can provide useful information for differentiating LG and HG tumors during pre-surgical tumor characterization.

摘要

纤维束成像已被广泛应用于改善脑胶质瘤的手术规划并指导其切除。本研究旨在评估用于手术规划的弓状束(AF)纤维束成像的最新技术,并探讨沿纤维束分析在表征肿瘤组织病理学方面的作用。对9例肿瘤位于语言区域或其附近的患者(年龄:41±14岁,均值±标准差;5例男性)和32名健康志愿者(年龄:39±16岁;16例男性)采集了高角分辨率扩散成像(HARDI)图像。术前对患者进行了音素流畅性任务功能磁共振成像(fMRI)检查。使用约束球形去卷积扩散率模型和概率纤维追踪进行AF纤维束成像。进行沿纤维束分析,使用拉普拉斯算子沿纤维束长度将AF分为15段。对于每个AF段,将扩散张量成像(DTI)测量值与在健康对照(HC)中获得的值进行比较。从额叶、顶叶和颞叶分区的语言任务fMRI激活中计算半球偏侧指数(LI)。肿瘤分为低/高级别(LG/HG)。4例为LG胶质瘤(1例胚胎发育不良性神经上皮肿瘤和3例二级胶质瘤),5例为HG胶质瘤(2例三级和3例四级)。对于LG肿瘤,除1例病例外均实现了大体全切,HG肿瘤有2例患者实现了全切。纤维束成像在所有病例中均识别出了AF轨迹。4项沿纤维束DTI测量值可能区分LG和HG肿瘤患者(错误发现率<0.1):异常平均扩散率(MD)和径向扩散率(RD)段的数量、平均轴向扩散率(AD)中位数以及MD测量值。AF段异常数量较多以及AD和MD测量值较高均与HG肿瘤患者相关。此外,在区分LG和HG肿瘤患者的顶叶LI与DTI测量值之间发现了相关性(未校正<0.05)。特别是,顶叶激活更偏向右侧(LI<0)与异常MD段数量较多(=-0.732)和RD段数量较多(=-0.724)相关。AF纤维束成像能够检测纤维束的走行,有助于尽可能安全地进行肿瘤切除。我们的初步研究表明,沿纤维束DTI指标可为术前肿瘤特征化过程中区分LG和HG肿瘤提供有用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7c4/7952864/e71f20b77a5e/fneur-12-633209-g0006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7c4/7952864/1b6dd5daac55/fneur-12-633209-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7c4/7952864/ddcba265938a/fneur-12-633209-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7c4/7952864/cd44cf1f3cd6/fneur-12-633209-g0003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7c4/7952864/e71f20b77a5e/fneur-12-633209-g0006.jpg

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