Assessing the Diagnostic Value of Brain White Matter Hyperintensities and Clinical Symptoms in Predicting the Detection of CSF Venous Fistula in Patients with Suspected Spontaneous Intracranial Hypotension.

Samantha L Pisani Petrucci, Nadya Andonov, Peter Lennarson, Marius Birlea, Chantal O'Brien, Danielle Wilhour, Abigail Anderson, Jeffrey L Bennett, Andrew L Callen
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Abstract

Background and purpose: Spontaneous intracranial hypotension (SIH) due to CSF venous fistula (CVF) is increasingly recognized as a secondary cause of headaches, with symptoms often overlapping with primary headache syndromes such as migraine. While brain MRI studies have focused on features indicative of SIH, findings that support an alternate headache etiology, such as the bifrontal white matter hyperintensities (WMH) often seen in migraines, have not been explored in this context. This study assesses 1) the quantity and distribution of WMH and 2) the presenting clinical features in patients with and without CVF found on dynamic decubitus CT myelography (dCTM).

Materials and methods: 72 consecutive patients underwent clinical workup for SIH due to suspected CVF, including pre-procedural brain and spine MRI followed by dCTM. Brain imaging features were analyzed, including Bern score, quantitative WMH burden, and WMH distribution. Demographics and clinical symptoms present at the time of presentation were recorded. Imaging features were compared between groups with and without CVF using parametric or nonparametric comparisons according to variable normality. Multivariate logistic regression explored the relationships between imaging features, clinical symptoms, and the presence of CVF.

Results: The cohort included 40 patients with (CVF+) and 32 patients without (CVF-), with no significant age or sex differences. CVF+ patients had significantly higher Bern scores and significantly fewer WMH. There were significant differences in the frequencies of WMH patterns between groups, with a migrainous pattern observed most frequently in CVF-patients. Logistic regression combining Bern score, WMH burden, and WMH pattern demonstrated a better fit for predicting CVF than using Bern score or WMH features alone. Fourteen clinical symptoms showed the greatest differences between CVF+ and CVF-groups. Logistic regression demonstrated a positive association between CVF detection and a pressure/throbbing headache quality, and negative associations for neck pain, facial pain, phonophobia, and anhedonia/depression.

Conclusions: These findings suggest a negative association between CVF detection, increased burden of WMH, and a migrainous WMH pattern. Symptom analysis describes distinct clinical phenotypes, challenging orthostatic headache as a defining characteristic. These results support a comprehensive assessment of imaging and clinical presentations in the workup of suspected SIH.

Abbreviations: SIH = spontaneous intracranial hypotension; CVF = CSF venous fistula; WMH = white matter hyperintensities; dCTM = dynamic CT myelography; dDSM = dynamic digital subtraction myelography; PPV = positive predictive value; NPV = negative predictive value Received month day, year; accepted after revision month day, year.

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评估脑白质高密度和临床症状在预测自发性颅内低血压疑似患者脑脊液静脉瘘检测中的诊断价值。
背景和目的:CSF静脉瘘(CVF)导致的自发性颅内低血压(SIH)越来越被认为是头痛的继发性病因,其症状往往与偏头痛等原发性头痛综合征重叠。虽然脑部核磁共振成像研究主要集中在表明 SIH 的特征上,但支持其他头痛病因的研究结果,如偏头痛中经常出现的双额叶白质高密度(WMH),尚未在此背景下进行探讨。本研究评估了:1)WMH 的数量和分布;2)动态褥疮 CT 髓鞘造影(dCTM)发现的 CVF 患者和未发现 CVF 患者的临床表现特征。分析了脑成像特征,包括伯尔尼评分、定量 WMH 负荷和 WMH 分布。此外,还记录了患者的人口统计学特征和发病时的临床症状。根据变量的正态性,采用参数或非参数比较法对有 CVF 和无 CVF 的两组患者的成像特征进行比较。多变量逻辑回归探讨了成像特征、临床症状和是否存在 CVF 之间的关系:队列中包括40名CVF+患者和32名非CVF-患者,年龄和性别无明显差异。CVF+患者的伯尔尼评分明显更高,WMH明显更少。各组之间的 WMH 模式频率存在明显差异,其中偏头痛模式在 CVF 患者中最为常见。与单独使用伯尔尼评分或 WMH 特征相比,结合伯尔尼评分、WMH 负荷和 WMH 模式的 Logistic 回归更适合预测 CVF。14种临床症状在CVF+组和CVF组之间的差异最大。Logistic 回归显示,CVF 检测与压迫性/刺痛性头痛质量呈正相关,而与颈痛、面部疼痛、畏声和失乐症/抑郁呈负相关:这些研究结果表明,CVF 检测、WMH 负荷增加和偏头痛 WMH 模式之间存在负相关。症状分析描述了不同的临床表型,并将正压性头痛作为一个决定性特征。这些结果支持在疑似 SIH 的检查中对影像学和临床表现进行综合评估:缩写:SIH = 自发性颅内低血压;CVF = CSF 静脉瘘;WMH = 白质高密度;dCTM = 动态 CT 髓造影;dDSM = 动态数字减影髓造影;PPV = 阳性预测值;NPV = 阴性预测值 收到年月日;修订后接受年月日。
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