Tong Xianzeng, Wu Jun, Cao Yong, Zhao Yuanli, Wang Shuo
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
China National Clinical Research Center for Neurological Diseases, Beijing, China.
BMJ Open. 2017 Jan 27;7(1):e014063. doi: 10.1136/bmjopen-2016-014063.
Although microsurgical resection is currently the first-line treatment modality for arteriovenous malformations (AVMs), microsurgery of these lesions is complicated due to the fact that they are very heterogeneous vascular anomalies. The Spetzler-Martin grading system and the supplementary grading system have demonstrated excellent performances in predicting the risk of AVM surgery. However, there are currently no predictive models based on multimodal MRI techniques. The purpose of this study is to propose a predictive model based on multimodal MRI techniques to assess the microsurgical risk of intracranial AVMs.
The study consists of 2 parts: the first part is to conduct a single-centre retrospective analysis of 201 eligible patients to create a predictive model of AVM surgery based on multimodal functional MRIs (fMRIs); the second part is to validate the efficacy of the predictive model in a prospective multicentre cohort study of 400 eligible patients. Patient characteristics, AVM features and multimodal fMRI data will be collected. The functional status at pretreatment and 6 months after surgery will be analysed using the modified Rankin Scale (mRS) score. The patients in each part of this study will be dichotomised into 2 groups: those with improved or unchanged functional status (a decreased or unchanged mRS 6 months after surgery) and those with worsened functional status (an increased mRS). The first part will determine the risk factors of worsened functional status after surgery and create a predictive model. The second part will validate the predictive model and then a new AVM grading system will be proposed.
The study protocol and informed consent form have been reviewed and approved by the Institutional Review Board of Beijing Tiantan Hospital Affiliated to Capital Medical University (KY2016-031-01). The results of this study will be disseminated through printed media.
NCT02868008.
尽管显微手术切除目前是动静脉畸形(AVM)的一线治疗方式,但由于这些病变是非常异质性的血管异常,对其进行显微手术很复杂。Spetzler-Martin分级系统和补充分级系统在预测AVM手术风险方面表现出色。然而,目前尚无基于多模态MRI技术的预测模型。本研究的目的是提出一种基于多模态MRI技术的预测模型,以评估颅内AVM的显微手术风险。
本研究包括2部分:第一部分是对201例符合条件的患者进行单中心回顾性分析,以创建基于多模态功能磁共振成像(fMRI)的AVM手术预测模型;第二部分是在400例符合条件的患者的前瞻性多中心队列研究中验证该预测模型的有效性。将收集患者特征、AVM特征和多模态fMRI数据。使用改良Rankin量表(mRS)评分分析术前和术后6个月的功能状态。本研究各部分的患者将被分为2组:功能状态改善或不变的患者(术后6个月mRS降低或不变)和功能状态恶化的患者(mRS升高)。第一部分将确定术后功能状态恶化的危险因素并创建预测模型。第二部分将验证该预测模型,然后提出一种新的AVM分级系统。
本研究方案和知情同意书已由首都医科大学附属北京天坛医院伦理委员会审核并批准(KY2016-031-01)。本研究结果将通过印刷媒体进行传播。
NCT02868008。