Suppr超能文献

一项大型全国性研究中扩散加权成像和灌注加权成像对儿童颅内室管膜瘤的预后及预测价值

Prognostic and predictive values of diffusion and perfusion MRI in paediatric intracranial ependymomas in a large national study.

作者信息

Tensaouti Fatima, Ducassou Anne, Chaltiel Léonor, Sevely Annick, Bolle Stéphanie, Muracciole Xavier, Coche-Dequant Bernard, Alapetite Claire, Supiot Stéphane, Huchet Aymeri, Bernier Valérie, Claude Line, Bertozzi-Salamon Anne-Isabelle, Liceaga Samuel, Lotterie Jean Albert, Péran Patrice, Payoux Pierre, Laprie Anne

机构信息

1 Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.

2 Department of Radiation Oncology, Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse - Oncopole, Toulouse, France.

出版信息

Br J Radiol. 2016 Oct;89(1066):20160537. doi: 10.1259/bjr.20160537. Epub 2016 Aug 23.

Abstract

OBJECTIVE

To assess the relative cerebral blood volume (rCBV) and apparent diffusion coefficient (ADC) derived, respectively, from perfusion and diffusion pre-operative MRI of intracranial ependymomas and their predictive and prognostic values.

METHODS

Pre-operative MRI and clinical data for intracranial ependymomas diagnosed between January 2000 and December 2013 were retrospectively retrieved from a web-based national database. MRI data included diffusion (62 patients) and perfusion (20 patients) MRI. Patient age, histopathological diagnosis, tumour location, ADC, relative ADC (rADC) and rCBV were considered as potential factors in a survival analysis. Survival rates were estimated using the Kaplan-Meier method. Univariate analyses were performed using the log-rank test to compare groups. We also performed a multivariate analysis, applying the Cox proportional hazards model.

RESULTS

ADC and rADC values within hypointense regions differed significantly between grades II and III (p = 0.01). The 75th percentile of ADC within hypointense regions and the 25th percentile of rCBV within non-enhancing lesions were prognostic of disease-free survival (p = 0.004, p = 0.05). A significant correlation was found between the 75th percentile of rCBV and the 25th percentile of rADC (p = 0.01) in enhancing regions of grade-III tumours.

CONCLUSION

Pre-operative rADC and rCBV could be used as prognostic factors for clinical outcome and to predict histological grade in paediatric ependymomas.

ADVANCES IN KNOWLEDGE

Prognostic value of diffusion and perfusion MRI in paediatric ependymoma was found and may play a role in the prognostic classification of patients in order to design more tailored treatment strategies.

摘要

目的

评估分别从颅内室管膜瘤术前灌注磁共振成像(MRI)和扩散加权成像(DWI)得出的相对脑血容量(rCBV)和表观扩散系数(ADC)及其预测和预后价值。

方法

回顾性检索2000年1月至2013年12月期间诊断为颅内室管膜瘤的术前MRI和临床数据,这些数据来自一个基于网络的国家数据库。MRI数据包括扩散加权成像(62例患者)和灌注成像(20例患者)。患者年龄、组织病理学诊断、肿瘤位置、ADC、相对ADC(rADC)和rCBV被视为生存分析中的潜在因素。采用Kaplan-Meier法估计生存率。使用对数秩检验进行单因素分析以比较各组。我们还应用Cox比例风险模型进行了多因素分析。

结果

II级和III级肿瘤低信号区域内的ADC和rADC值存在显著差异(p = 0.01)。低信号区域内ADC的第75百分位数和非强化病变内rCBV的第25百分位数对无病生存期具有预后意义(p = 0.004,p = 0.05)。在III级肿瘤的强化区域,rCBV的第75百分位数与rADC的第25百分位数之间存在显著相关性(p = 0.01)。

结论

术前rADC和rCBV可作为小儿室管膜瘤临床结局的预后因素,并用于预测组织学分级。

知识进展

发现了扩散加权成像和灌注成像在小儿室管膜瘤中的预后价值,这可能在患者的预后分类中发挥作用,以便设计更具针对性的治疗策略。

相似文献

1
2
Arterial spin labelling and diffusion-weighted imaging in paediatric brain tumours.
Neuroimage Clin. 2019;22:101696. doi: 10.1016/j.nicl.2019.101696. Epub 2019 Jan 29.
3
Evaluating the apparent diffusion coefficient in MRI studies as a means of determining paediatric brain tumour stages.
Neurologia. 2016 Sep;31(7):459-65. doi: 10.1016/j.nrl.2014.12.003. Epub 2015 Feb 7.
5
Apparent Diffusion Coefficient to Evaluate Adult Intracranial Ependymomas: Relationship to Ki-67 Proliferation Index.
J Neuroimaging. 2021 Jan;31(1):132-136. doi: 10.1111/jon.12789. Epub 2020 Sep 22.
6
Comparison of Conventional, Diffusion, and Perfusion MRI Between Low-Grade and Anaplastic Extraventricular Ependymoma.
AJR Am J Roentgenol. 2020 Oct;215(4):978-984. doi: 10.2214/AJR.20.22764. Epub 2020 Aug 18.
7
Prognostic value of perfusion MR imaging in patients with oligodendroglioma: A survival study.
J Neuroradiol. 2011 Mar;38(1):53-61. doi: 10.1016/j.neurad.2010.03.004. Epub 2010 Jun 15.
9
Prognostic relevance of apparent diffusion coefficient obtained by diffusion-weighted MRI in pancreatic cancer.
J Magn Reson Imaging. 2015 Dec;42(6):1532-7. doi: 10.1002/jmri.24939. Epub 2015 May 6.
10
Prediction of survival in patients affected by glioblastoma: histogram analysis of perfusion MRI.
J Neurooncol. 2018 Sep;139(2):455-460. doi: 10.1007/s11060-018-2887-4. Epub 2018 May 2.

引用本文的文献

2
Ependymomas in Children and Adults.
Adv Exp Med Biol. 2023;1405:99-116. doi: 10.1007/978-3-031-23705-8_4.
3
Ependymoma: Evaluation and Management Updates.
Curr Oncol Rep. 2022 Aug;24(8):985-993. doi: 10.1007/s11912-022-01260-w. Epub 2022 Apr 6.
4
The role of artificial intelligence in paediatric neuroradiology.
Pediatr Radiol. 2022 Oct;52(11):2159-2172. doi: 10.1007/s00247-022-05322-w. Epub 2022 Mar 26.
6
MRI Features of Intracranial Anaplastic Ependymomas: A Comparison of Supratentorial and Infratentorial Lesions.
Front Oncol. 2020 Jul 21;10:1063. doi: 10.3389/fonc.2020.01063. eCollection 2020.
7
Feasibility of Dose Escalation in Patients With Intracranial Pediatric Ependymoma.
Front Oncol. 2019 Jun 21;9:531. doi: 10.3389/fonc.2019.00531. eCollection 2019.
8
Multiparametric Analysis of Permeability and ADC Histogram Metrics for Classification of Pediatric Brain Tumors by Tumor Grade.
AJNR Am J Neuroradiol. 2018 Mar;39(3):552-557. doi: 10.3174/ajnr.A5502. Epub 2018 Jan 4.
9
EANO guidelines for the diagnosis and treatment of ependymal tumors.
Neuro Oncol. 2018 Mar 27;20(4):445-456. doi: 10.1093/neuonc/nox166.

本文引用的文献

1
Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas.
AJNR Am J Neuroradiol. 2015 Jul;36(7):1247-52. doi: 10.3174/ajnr.A4284. Epub 2015 Apr 2.
2
Proton beam therapy for pediatric ependymoma.
Pediatr Int. 2015 Aug;57(4):567-71. doi: 10.1111/ped.12624. Epub 2015 Jun 4.
3
Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.
AJNR Am J Neuroradiol. 2014 May;35(5):1009-15. doi: 10.3174/ajnr.A3784. Epub 2013 Dec 5.
4
5
Utility of apparent diffusion coefficient ratios in distinguishing common pediatric cerebellar tumors.
Acad Radiol. 2012 Jul;19(7):794-800. doi: 10.1016/j.acra.2012.03.004. Epub 2012 Apr 17.
6
Diffusion imaging of brain tumors.
NMR Biomed. 2010 Aug;23(7):849-64. doi: 10.1002/nbm.1544.
7
Value and limitations of diffusion-weighted imaging in grading and diagnosis of pediatric posterior fossa tumors.
AJNR Am J Neuroradiol. 2010 Oct;31(9):1613-6. doi: 10.3174/ajnr.A2155. Epub 2010 Jun 10.
9
Neuroimaging of pediatric brain tumors: from basic to advanced magnetic resonance imaging (MRI).
J Child Neurol. 2009 Nov;24(11):1343-65. doi: 10.1177/0883073809342129.
10
Imaging of ependymomas: MRI and CT.
Childs Nerv Syst. 2009 Oct;25(10):1203-13. doi: 10.1007/s00381-009-0878-7. Epub 2009 Apr 10.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验