The LURN Research Network Neuroimaging and Sensory Testing (NIST) Study: Design, protocols, and operations
The LURN Research Network Neuroimaging and Sensory Testing (NIST) Study: Design, protocols, and operations
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DOI：
10.1016/j.cct.2018.09.010
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发表时间：
2018-11-01
影响因子：
2.2
通讯作者：
Harte, Steven E.
中科院分区：
文献类型：
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作者：
Lai, H. Henry;Naliboff, Bruce;Harte, Steven E.
神经影像和感觉测试 (NIST) 下尿路功能障碍症状研究网络 (LURN) 是一项横断面病例对照研究，旨在调查大脑连接和感觉处理中断是否与膀胱过度活动综合征 (OAB) 患者异常下尿路症状 (LUTS) 相关。 NIST 研究测试了尿急患者将表现出的假设：(1) 与对照组相比，磁共振成像 (MRI) 中涉及尿感的大脑区域功能和结构连接异常，以及 (2) 定量感觉测试 (QST) 中对疼痛（压力）和非疼痛（听觉）感觉刺激过敏。在六个参与的 LURN 临床中心之一就诊并接受 LUTS 临床护理的男性和女性成人（18 岁或以上），有尿急症状，伴或不伴急迫性尿失禁，都有资格参加。 NIST 研究是同类中规模最大的 MRI 和 QST 研究，产生了 OAB 研究中前所未有的神经影像和感觉测试数据集。先进的多模态技术用于了解大脑功能和结构连接，包括灰质体积和感觉功能。与之前的 MRI 研究不同，MRI 研究涉及侵入性导管插入术和通过导管重复进行非生理性膀胱充盈和排空的循环，我们使用水摄入方案来通过自然利尿来模拟更多的生理性膀胱充盈。此外，这些数据将与其他表型数据结合使用，以提高我们对 LUTS 患者有临床意义的亚型的理解，从而改善患者护理和管理结果。
The Neuroimaging and Sensory Testing (NIST) Study of the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) is a cross-sectional, case-control study designed to investigate whether disrupted brain connectivity and sensory processing are associated with abnormal lower urinary tract symptoms (LUTS) in patients with overactive bladder syndrome (OAB). The NIST Study tests the hypotheses that patients with urinary urgency will demonstrate: (1) abnormal functional and structural connectivity of brain regions involved in urinary sensation on magnetic resonance imaging (MRI), and (2) hypersensitivity to painful (pressure) and non painful (auditory) sensory stimuli on quantitative sensory testing (QST), compared to controls. Male and female adults (18 years or older) who present at one of the six participating LURN clinical centers for clinical care of their LUTS, with symptoms of urinary urgency with or without urgency urinary incontinence, are eligible to participate. The NIST Study is the largest MRI and QST study of its kind, yielding a neuroimaging and sensory testing dataset unprecedented in OAB research. Advanced multi-modal techniques are used to understand brain functional and structural connectivity, including gray matter volume, and sensory function. Unlike previous MRI studies which involved invasive catheterization and repeated cycles of non-physiologic bladder filling and emptying via a catheter, we use a water ingestion protocol to mimic more physiological bladder filling through natural diuresis. Furthermore, these data will be used in concert with other phenotyping data to improve our understanding of clinically meaningful subtypes of patients with LUTS in order to improve patient care and management outcomes.