Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study.

Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study.
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DOI:
10.3389/fonc.2022.915143
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发表时间:
2022
影响因子:
4.7
通讯作者:
Tiwari, Pallavi
Tiwari, Pallavi
中科院分区:
医学3区
文献类型:
--
作者:
Iyer, Sukanya;Ismail, Marwa;Tamrazi, Benita;Salloum, Ralph;de Blank, Peter;Margol, Ashley;Correa, Ramon;Chen, Jonathan;Bera, Kaustav;Statsevych, Volodymyr;Ho, Mai-Lan;Vaidya, Pranjal;Verma, Ruchika;Hawes, Debra;Judkins, Alexander;Fu, Pingfu;Madabhushi, Anant;Tiwari, Pallavi

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髓母细胞瘤(MB)是一种恶性、异质性脑肿瘤。分子谱分析的进展已导致鉴定MB的四个分子亚组(WNT、SHH、组3、组4),每个亚组具有不同的临床行为。我们假设:(1)侵袭性MB肿瘤,不均匀生长,诱导周围实质明显的局部结构变形,(B)钆(Gd)增强T1 w MRI捕获的这些局部变形与MB患者的分子亚组以及总生存率独立相关。在这项工作中,共88 MB的研究,从2个机构进行了分析。肿瘤勾画后,通过变形配准将每个患者的Gd-T1 w扫描配准到正常年龄特异性T1 w-MRI模板。在患者-图谱配准之后,通过从从每5 mm环形区域获得的变形幅度计算统计来获得每个患者的脑实质中的局部结构变形,0 < d < 60 mm,其中d是距肿瘤浸润边缘的距离。通过ANOVA进行的多类比较产生了第3组、第4组和SHH分子亚组获得的变形幅度之间的显著差异,观察到肿瘤边缘外高达60 mm。此外,Kaplan-Meier生存分析表明,局部变形统计结合当前的临床风险分层方法(分子亚组信息和Chang分类)可以识别高风险和低风险生存组之间的显著差异,比单独使用任何这些方法获得更好的性能结果。这些初步研究结果表明,我们的肿瘤诱导变形描述符与MB的总生存率存在显著相关性,并且使用所提出的放射组学描述符沿着当前风险分类方法可能具有附加价值,可用于儿科MB的更可靠风险评估。
Medulloblastoma (MB) is a malignant, heterogenous brain tumor. Advances in molecular profiling have led to identifying four molecular subgroups of MB (WNT, SHH, Group 3, Group 4), each with distinct clinical behaviors. We hypothesize that (1) aggressive MB tumors, growing heterogeneously, induce pronounced local structural deformations in the surrounding parenchyma, and (b) these local deformations as captured on Gadolinium (Gd)-enhanced-T1w MRI are independently associated with molecular subgroups, as well as overall survival in MB patients. In this work, a total of 88 MB studies from 2 institutions were analyzed. Following tumor delineation, Gd-T1w scan for every patient was registered to a normal age-specific T1w-MRI template via deformable registration. Following patient-atlas registration, local structural deformations in the brain parenchyma were obtained for every patient by computing statistics from deformation magnitudes obtained from every 5mm annular region, 0 < d < 60 mm, where d is the distance from the tumor infiltrating edge. Multi-class comparison via ANOVA yielded significant differences between deformation magnitudes obtained for Group 3, Group 4, and SHH molecular subgroups, observed up to 60-mm outside the tumor edge. Additionally, Kaplan-Meier survival analysis showed that the local deformation statistics, combined with the current clinical risk-stratification approaches (molecular subgroup information and Chang’s classification), could identify significant differences between high-risk and low-risk survival groups, achieving better performance results than using any of these approaches individually. These preliminary findings suggest there exists significant association of our tumor-induced deformation descriptor with overall survival in MB, and that there could be an added value in using the proposed radiomic descriptor along with the current risk classification approaches, towards more reliable risk assessment in pediatric MB.
DOI: 10.3174/ajnr.a3990
发表时间: 2014-07
期刊: AJNR. American journal of neuroradiology
影响因子: --
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影响因子: 3.1
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DOI: 10.1055/s-2004-821253
发表时间: 2004-10-01
期刊: NEUROPEDIATRICS
影响因子: 1.4
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DOI: 10.1016/j.pcl.2014.09.011
发表时间: 2015-02-01
影响因子: 2.6
作者:
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