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Integrated Deep Learning-Based Intracranial Vessel Wall Imaging with DANTE Preparation: Feasibility and Technical Performance. 基于深度学习的DANTE制备颅内血管壁综合成像:可行性和技术性能。
Pub Date : 2026-02-14 DOI: 10.3174/ajnr.A9232
Pranjal Rai, Vincent Ern Yao Chan, John C Benson, Felix E Diehn, Paul M Farnsworth, Victoria M Silvera, Peter Kollasch, Alto Stemmer, Marcel Dominik Nickel, Steven A Messina, Girish Bathla

Purpose: To evaluate the feasibility and technical performance of integrating a Delay Alternating with Nutation for Tailored Excitation (DANTE) preparation into a deep learning-accelerated, post-contrast T1-SPACE sequence for intracranial vessel wall imaging (IC-VWI).

Materials and methods: In this retrospective, single-center study, 35 patients (22 women; mean age, 57.9 ± 17.1 years) underwent IC-VWI using post-contrast DL-T1-SPACE with (T1-SPACEDL+DANTE) and without (T1-SPACEDL) a DANTE preparation. Two neuroradiologists independently scored lumen and wall visualization across the arterial segments on a 4-point Likert scale (1: worst to 4: best) and graded venous flow artifacts along the middle cerebral artery (MCA), peri-mesencephalic veins (PMV), deep cerebral veins (DCV), and cortical veins (CV). Intersequence comparisons used cumulative-link mixed-effects models (CLMMs); segments were additionally pooled and analyzed as proximal versus distal. Venous flow artifact scores were compared with paired Wilcoxon tests between sequences and percentage agreement between readers. Exploratory Bland-Altman analysis was also performed for both readers.

Results: A total of 556 vessel-segment pairs were analyzed. In CLMM analysis, T1-SPACEDL+DANTE improved lumen scores versus T1-SPACEDL (pooled OR 40.02; 95% CI 24.06-66.57; FDR p<0.001) but reduced wall scores (pooled OR 0.11; 95% CI 0.08-0.14; FDR p<0.001). By anatomic group, lumen ORs were 26.03 (proximal) and 91.93 (distal), and wall ORs were 0.12 (proximal) and 0.04 (distal) (all FDR p<0.001). Venous flow artifacts improved across all analyzed subsites (p<0.001). ±1-point inter-reader concordance was near perfect across analyses. Bland-Altman plots showed negative lumen bias (favoring T1-SPACEDL+DANTE) and positive wall bias (favoring T1-SPACEDL) without consistent proportional bias.

Conclusion: Adding DANTE preparation to deep-learning accelerated IC-VWI was associated with fewer flow-related artifacts and a clearer depiction of the vessel lumen, which may support a more accurate assessment of intracranial vasculopathies and aneurysms. Potential gains were accompanied by a modest wall-visualization penalty, which is not unexpected with a flow-suppression pulse.

目的:评估将延迟交替与章动相结合的定制激励(DANTE)准备整合到深度学习加速的对比后T1-SPACE序列中用于颅内血管壁成像(IC-VWI)的可行性和技术性能。材料和方法:在这项回顾性的单中心研究中,35例患者(22名女性,平均年龄57.9±17.1岁)使用对比后的DL-T1-SPACE (T1-SPACEDL+DANTE)和不使用(T1-SPACEDL) DANTE准备进行IC-VWI。两名神经放射科医生分别用4分李克特量表(1分最差到4分最好)对动脉段的管腔和管壁可视化进行评分,并对沿大脑中动脉(MCA)、中脑周围静脉(PMV)、脑深静脉(DCV)和皮质静脉(CV)的静脉流动伪影进行分级。序列间比较采用累积链接混合效应模型(clmm);另外将节段汇总并分析为近端与远端。用配对Wilcoxon测试比较序列之间的静脉流动伪像得分和读者之间的一致性百分比。探索性Bland-Altman分析也对两位读者进行了分析。结果:共分析了556对血管段。在CLMM分析中,与T1-SPACEDL相比,T1-SPACEDL+DANTE改善了流明评分(合并OR 40.02; 95% CI 24.06-66.57; FDR pDL+DANTE)和正壁偏(有利于T1-SPACEDL),没有一致的比例偏倚。结论:在深度学习加速IC-VWI中加入DANTE预备可以减少与血流相关的伪影,更清晰地描述血管腔,这可能有助于更准确地评估颅内血管病变和动脉瘤。潜在的增益伴随着适度的壁面可视化损失,这在流动抑制脉冲中并不意外。
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引用次数: 0
Towards improved decision making of unruptured intracranial aneurysms using automated segmentation from MRA-TOF with iterative pseudo labeling. 基于迭代伪标记的mri - tof自动分割改进颅内未破裂动脉瘤的诊断决策。
Pub Date : 2026-02-14 DOI: 10.3174/ajnr.A9231
Anouk S Verschuur, Jiaxin Zhang, Maarten J Kamphuis, Chantal M W Tax, Irene C van der Schaaf
<p><strong>Objective: </strong>To enable accurate 3D morphological assessment and support clinical decision making, DIVA-seg: a Deep learning-based method for Intracranial Vessel and Aneurysm segmentation from MRA-TOF using a pseudo labeling approach was developed and validated.</p><p><strong>Methods: </strong><i>Three</i> MRA-TOF datasets were used: 1) labeled data for training (n=57) and testing (n=14), 2) unlabeled data for pseudo labels (n=518), and 3) labeled data for external validation (n=82). An nnU-Net (Model 1) was iteratively trained for creating pseudo labels for Dataset 2. Cases with stable segmentation performance across iterations were selected for further training. Stable cases (n=484) were combined with Dataset 1 to train a second nnU-Net (Model 2). Performance testing on Dataset 1 and 3 comprised of Dice similarity coefficients (DSC), 95%-Hausdorff distances, 3D morphological measures, and a blinded qualitative evaluation.</p><p><strong>Results: </strong>DIVA-seg achieved a mean (standard deviation) internal vessel and aneurysm DSC of 0.925 (±0.025) and 0.880 (±0.045), respectively. On the external test set the DSC were 0.899 (±0.028) and 0.861 (±0.114), respectively. Mean Hausdorff distances were 0.67mm for both test sets. Bland-Altman plots showed a high agreement between 3D morphological measures from ground truth and model segmentations; however, a proportional bias was observed for voxel volume, surface area, sphericity and shape index. The qualitative evaluation showed no clear preference for either ground truth or model segmentation.</p><p><strong>Conclusion: </strong>The model achieved accurate and reliable segmentation of vessels and aneurysms internally and externally while also showing high agreement between 3D morphological measures from automatic and manual segmentations, indicating its potential clinical utility.</p><p><strong>Summary section: </strong>Accurate intracranial aneurysm assessment is essential for treatment planning and risk stratification. Manual aneurysm segmentation is labor-intensive and subject to substantial inter- and intra-observer variability. Although automated segmentation approaches have been proposed, many suffer from limited accuracy, lack of robustness across datasets, or insufficient validation on heterogeneous, real-world data. As a result, reliable and generalizable tools for aneurysm segmentation and morphological analysis remain an unmet need. DIVA-seg, an nnU-Net-based model, achieved high aneurysm segmentation accuracy (DSC >0.86; HD <0.7mm) and close agreement with expert annotations in clinically relevant 3D morphological measures, demonstrating consistent performance across internal and external datasets. This work demonstrates a robust and generalizable approach for automated intracranial aneurysm segmentation, enabling reliable morphological analysis. The proposed method has the potential to streamline aneurysm monitoring, reduce observer variability, and support future autom
目的:为了实现准确的3D形态评估并支持临床决策,开发并验证了DIVA-seg:一种基于伪标记方法的基于mri - tof的颅内血管和动脉瘤分割的深度学习方法。方法:使用3个mri - tof数据集:1)标记数据用于训练(n=57)和测试(n=14), 2)未标记数据用于伪标签(n=518), 3)标记数据用于外部验证(n=82)。迭代训练nnU-Net(模型1)为数据集2创建伪标签。选择跨迭代分割性能稳定的案例进行进一步训练。稳定病例(n=484)与数据集1相结合,训练第二个nnU-Net(模型2)。数据集1和数据集3的性能测试包括骰子相似系数(DSC)、95%-Hausdorff距离、3D形态测量和盲法定性评估。结果:DIVA-seg内血管和动脉瘤DSC均值(标准差)分别为0.925(±0.025)和0.880(±0.045)。外测组DSC分别为0.899(±0.028)和0.861(±0.114)。两个测试集的平均豪斯多夫距离为0.67mm。Bland-Altman图显示了地面真实度和模型分割的三维形态学测度之间的高度一致性;然而,体素体积、表面积、球度和形状指数存在比例偏差。定性评价显示对基础真值或模型分割没有明确的偏好。结论:该模型实现了对血管和动脉瘤内外准确可靠的分割,同时自动分割和人工分割的三维形态学测量结果高度一致,具有潜在的临床应用价值。总结部分:准确的颅内动脉瘤评估对治疗计划和风险分层至关重要。手工动脉瘤分割是一项劳动密集型的工作,而且观察者之间和观察者内部的差异很大。尽管已经提出了自动分割方法,但许多方法的准确性有限,缺乏跨数据集的鲁棒性,或者对异构的真实数据的验证不足。因此,可靠和通用的工具,动脉瘤分割和形态分析仍然是一个未满足的需求。基于nnu - net的DIVA-seg模型获得了较高的动脉瘤分割精度(DSC bb0 0.86; HD
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引用次数: 0
Transnasal X-Ray-Guided Biopsy for a clival lesion. 经鼻x线引导下的斜坡病变活检。
Pub Date : 2026-02-12 DOI: 10.3174/ajnr.A9228
Romain Bossi Croci, Eimad Shotar, Yann Nguyen, Frédéric Clarençon, Pierre-Marie Chiaroni

Skull base biopsies are technically challenging due to complex anatomy and proximity to vital structures. Traditional transcervical and transoral approaches offer limited access to the clivus and risk poor depth perception and complications. Although transnasal techniques have improved access, X-ray-guided methods are rarely reported. We describe the first transnasal X-ray-guided clival biopsy in a middle-aged patient with suspected skull base osteomyelitis. Preoperative CT, MRI, and PET-CT enabled precise targeting and safe trajectory planning. In a biplane angiographic suite, a guidewire was advanced transnasally, and a 9F introducer sheath was positioned against the anterior clivus. An 11G bone needle was then advanced under fluoroscopy and cone-beam CT into the lesion. Tissue sampling was successful and complication-free, confirming Staphylococcus haemolyticus osteomyelitis, which resolved with targeted antibiotics. This minimally invasive technique offers accurate access to superior clival lesions and may broaden options for selected skull base biopsy cases.

由于复杂的解剖结构和靠近重要结构,颅底活检在技术上具有挑战性。传统的经颈和经口入路进入斜坡的机会有限,并且存在深度感知差和并发症的风险。虽然经鼻技术改善了通道,但x线引导的方法很少报道。我们描述了第一次经鼻x线引导斜坡活检在一个中年患者怀疑颅底骨髓炎。术前CT、MRI和PET-CT可以精确定位和安全的轨迹规划。在双翼血管造影套件中,导丝经鼻推进,9F引入鞘靠在前斜坡上。然后在透视和锥束CT下将11G骨针推进病变。组织取样成功且无并发症,证实溶血性葡萄球菌骨髓炎,并使用靶向抗生素解决。这种微创技术提供了准确的上斜坡病变,并可能扩大选择颅底活检病例的选择。
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引用次数: 0
Understanding the Therapeutic Impact of Disease-Modifying Therapies or No Treatment on Enlarging T1-Weighted Hypointense Lesions and Total T1-Weighted Hypointense Lesion Volume in MS. 了解改善疾病治疗或不治疗对MS患者t1加权低信号病变扩大和t1加权低信号病变总体积的影响。
Pub Date : 2026-02-12 DOI: 10.3174/ajnr.A8994
Darin T Okuda, Tom G Punnen, Tatum M Moog, Morgan C McCreary, Katy W Burgess, Christine Lebrun-Frénay

Background and purpose: T1-weighted hypointense lesions resulting from MS reflect chronic, irreversible tissue injury mediated by autoimmune inflammation and are associated with neurologic disability. The evolution of such lesions is heterogeneous in the presence or absence of disease-modifying therapy (DMT). We investigated dynamic changes of T1-weighted hypointense lesions along with total T1-weighted hypointense lesion volumes to further understand MRI features that may reflect clinically silent disease activity.

Materials and methods: A retrospective study was performed involving people with MS with 3 consecutive standardized MRI time points within a single academic center. Individuals with formal neuroradiology interpretations lacking evidence of T1-weighted hypointense lesion change were included. Approximately 8-12 nongadolinium-enhancing T1-weighted hypointense lesions measuring at least 3 mm2 were selected from a 3D MPRAGE from each individual. Total T1-weighted hypointense lesion volumes were also quantified at each time point. The Lambda, Mu, and Sigma method was used to estimate the SD of the annualized volume rate of change as a function of the lesion volume at the prior time point. The longitudinal associations between treatment class on T1-weighted hypointense lesion dynamics and relationship to patient- or physician-reported disease worsening, acute clinical relapse, and MRI advancement were evaluated.

Results: The cohort comprised 91 people (71.4% women; mean disease duration of 9.32 years; SD: 7.22 years) who were primarily white (80.2%). Of treated individuals, most were exposed to non-high-efficacy DMTs at least once (48.4%). In total, 273 MRI studies yielding 790 T1-weighted hypointensities were studied longitudinally. Predominantly enlarging T1-weighted hypointense lesions were seen in 82.4% of individuals over 3 MRI time points. The odds of overall T1-weighted lesion volume contraction did not differ between those on high-efficacy treatment (P = .71) or those untreated (P = .85), compared with non-high-efficacy agents. Treatment group did not influence total change in T1-weighted hypointense lesion volumes, and correlations with clinical or MRI outcomes were not observed.

Conclusions: Current DMT classifications may have minimal influence on T1-weighted hypointense outcomes, highlighting the need for treatments that directly target ongoing tissue injury.

背景和目的:MS导致的t1加权低信号病变反映了自身免疫性炎症介导的慢性、不可逆的组织损伤,并与神经功能障碍相关。这种病变的演变是不均匀的存在或没有疾病修饰治疗(DMT)。我们研究了t1加权低信号病变的动态变化以及t1加权低信号病变的总体积,以进一步了解可能反映临床无症状疾病活动的MRI特征。材料和方法:在单一学术中心对MS患者进行回顾性研究,采用连续3个标准化MRI时间点。有正式神经放射学解释但缺乏t1加权低信号病变改变证据的个体被纳入研究。从每个个体的3D MPRAGE中选择大约8-12个非钆增强t1加权低信号病变,测量至少为3mm2。在每个时间点对t1加权低信号病变的总体积进行量化。使用Lambda, Mu和Sigma方法来估计年化体积变化率作为前一个时间点病变体积的函数的SD。对t1加权低信号病变动态的治疗等级与患者或医生报告的疾病恶化、急性临床复发和MRI进展之间的纵向关联进行了评估。结果:该队列包括91人(71.4%为女性,平均病程9.32年,SD: 7.22年),主要为白人(80.2%)。在接受治疗的个体中,大多数人至少接触过一次非高效dmt(48.4%)。总的来说,273个MRI研究产生790个t1加权低密度被纵向研究。在3个MRI时间点上,82.4%的个体可见t1加权低信号病变显著增大。与非高效药物相比,高效治疗组(P = 0.71)和未治疗组(P = 0.85)总t1加权病变体积收缩的几率没有差异。治疗组不影响t1加权低信号病变体积的总变化,且未观察到与临床或MRI结果的相关性。结论:目前的DMT分类可能对t1加权低信号的结果影响很小,强调了直接针对正在进行的组织损伤的治疗的必要性。
{"title":"Understanding the Therapeutic Impact of Disease-Modifying Therapies or No Treatment on Enlarging T1-Weighted Hypointense Lesions and Total T1-Weighted Hypointense Lesion Volume in MS.","authors":"Darin T Okuda, Tom G Punnen, Tatum M Moog, Morgan C McCreary, Katy W Burgess, Christine Lebrun-Frénay","doi":"10.3174/ajnr.A8994","DOIUrl":"https://doi.org/10.3174/ajnr.A8994","url":null,"abstract":"<p><strong>Background and purpose: </strong>T1-weighted hypointense lesions resulting from MS reflect chronic, irreversible tissue injury mediated by autoimmune inflammation and are associated with neurologic disability. The evolution of such lesions is heterogeneous in the presence or absence of disease-modifying therapy (DMT). We investigated dynamic changes of T1-weighted hypointense lesions along with total T1-weighted hypointense lesion volumes to further understand MRI features that may reflect clinically silent disease activity.</p><p><strong>Materials and methods: </strong>A retrospective study was performed involving people with MS with 3 consecutive standardized MRI time points within a single academic center. Individuals with formal neuroradiology interpretations lacking evidence of T1-weighted hypointense lesion change were included. Approximately 8-12 nongadolinium-enhancing T1-weighted hypointense lesions measuring at least 3 mm<sup>2</sup> were selected from a 3D MPRAGE from each individual. Total T1-weighted hypointense lesion volumes were also quantified at each time point. The Lambda, Mu, and Sigma method was used to estimate the SD of the annualized volume rate of change as a function of the lesion volume at the prior time point. The longitudinal associations between treatment class on T1-weighted hypointense lesion dynamics and relationship to patient- or physician-reported disease worsening, acute clinical relapse, and MRI advancement were evaluated.</p><p><strong>Results: </strong>The cohort comprised 91 people (71.4% women; mean disease duration of 9.32 years; SD: 7.22 years) who were primarily white (80.2%). Of treated individuals, most were exposed to non-high-efficacy DMTs at least once (48.4%). In total, 273 MRI studies yielding 790 T1-weighted hypointensities were studied longitudinally. Predominantly enlarging T1-weighted hypointense lesions were seen in 82.4% of individuals over 3 MRI time points. The odds of overall T1-weighted lesion volume contraction did not differ between those on high-efficacy treatment (P = .71) or those untreated (P = .85), compared with non-high-efficacy agents. Treatment group did not influence total change in T1-weighted hypointense lesion volumes, and correlations with clinical or MRI outcomes were not observed.</p><p><strong>Conclusions: </strong>Current DMT classifications may have minimal influence on T1-weighted hypointense outcomes, highlighting the need for treatments that directly target ongoing tissue injury.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. American journal of neuroradiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146183739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Efficacy and Safety of Stent-Assisted Coiling with Low-Profile Visualized Intraluminal Support versus Neuroform Atlas for Unruptured Internal Carotid Aneurysms: A Propensity Score-Matched Analysis. 对于未破裂的颈内动脉瘤,低轮廓可视化腔内支持支架辅助盘曲与神经形态图谱的疗效和安全性:倾向评分匹配分析。
Pub Date : 2026-02-12 DOI: 10.3174/ajnr.A9034
Gota Nagayama, Michiyasu Fuga, Toshihiro Ishibashi, Ken Aoki, Rintaro Tachi, Naoki Kato, Issei Kan, Shunsuke Hataoka, Tohru Sano, Kazufumi Horiuchi, Yuichi Murayama

Background and purpose: Stent-assisted coiling (SAC) is widely used for the treatment of wide-neck, unruptured intracranial aneurysms. However, direct comparative data between different stent platforms remain limited. This study aimed to evaluate the safety and efficacy of the Low-profile Visualized Intraluminal Support (LVIS) stent versus the Neuroform Atlas stent in the treatment of unruptured ICA aneurysms measuring <10 mm in diameter.

Materials and methods: A retrospective analysis was performed on 287 unruptured ICA aneurysms (<10 mm) in 247 patients treated with SAC using either the LVIS or Neuroform Atlas stent across 3 affiliated institutions between March 2017 and December 2023. Patients were divided into 2 groups: group A (Neuroform Atlas) and group L (LVIS). After 1:1 propensity score matching for demographic, clinical, anatomic, and procedural variables, key outcomes including Raymond class 1 occlusion, volume embolization ratio, and periprocedural complications were compared between the 2 groups.

Results: Among the 287 aneurysms, 237 (82.6%) were treated with the Neuroform Atlas stent and 50 (17.4%) with the LVIS stent. Propensity score matching yielded 46 matched pairs. Immediately after treatment, group L demonstrated significantly higher rates of complete occlusion and a greater volume embolization ratio compared with group A (P = .022 and .004, respectively). At the 1-year follow-up, the complete occlusion rate remained significantly higher in group L than in group A (52% versus 24%; P = .007). The incidence of ischemic and hemorrhagic complications did not differ significantly between the 2 groups.

Conclusions: For unruptured ICA aneurysms <10 mm in diameter, SAC using the LVIS stent was associated with a significantly higher rate of complete occlusion at 1 year compared with the Neuroform Atlas stent, without an increase in periprocedural complications. These results support the safety and efficacy of the LVIS stent in achieving favorable long-term angiographic outcomes in small- to medium-sized unruptured ICA aneurysms.

背景与目的:支架辅助盘绕术(SAC)广泛应用于宽颈未破裂颅内动脉瘤的治疗。然而,不同支架平台之间的直接比较数据仍然有限。本研究旨在评价低轮廓可视化腔内支架(LVIS)与Neuroform Atlas支架治疗未破裂ICA动脉瘤的安全性和有效性。测量材料和方法:对287例未破裂ICA动脉瘤进行回顾性分析(结果:287例动脉瘤中,Neuroform Atlas支架治疗237例(82.6%),LVIS支架治疗50例(17.4%)。倾向评分匹配产生46对匹配的配对。治疗后立即,L组完全闭塞率和体积栓塞率明显高于a组(P = 0.022和P = 0.022)。004年,分别)。1年随访时,L组完全闭塞率明显高于A组(52% vs 24%; P = 0.007)。两组间缺血性和出血性并发症发生率无显著差异。结论:对于未破裂的ICA动脉瘤
{"title":"Efficacy and Safety of Stent-Assisted Coiling with Low-Profile Visualized Intraluminal Support versus Neuroform Atlas for Unruptured Internal Carotid Aneurysms: A Propensity Score-Matched Analysis.","authors":"Gota Nagayama, Michiyasu Fuga, Toshihiro Ishibashi, Ken Aoki, Rintaro Tachi, Naoki Kato, Issei Kan, Shunsuke Hataoka, Tohru Sano, Kazufumi Horiuchi, Yuichi Murayama","doi":"10.3174/ajnr.A9034","DOIUrl":"https://doi.org/10.3174/ajnr.A9034","url":null,"abstract":"<p><strong>Background and purpose: </strong>Stent-assisted coiling (SAC) is widely used for the treatment of wide-neck, unruptured intracranial aneurysms. However, direct comparative data between different stent platforms remain limited. This study aimed to evaluate the safety and efficacy of the Low-profile Visualized Intraluminal Support (LVIS) stent versus the Neuroform Atlas stent in the treatment of unruptured ICA aneurysms measuring <10 mm in diameter.</p><p><strong>Materials and methods: </strong>A retrospective analysis was performed on 287 unruptured ICA aneurysms (<10 mm) in 247 patients treated with SAC using either the LVIS or Neuroform Atlas stent across 3 affiliated institutions between March 2017 and December 2023. Patients were divided into 2 groups: group A (Neuroform Atlas) and group L (LVIS). After 1:1 propensity score matching for demographic, clinical, anatomic, and procedural variables, key outcomes including Raymond class 1 occlusion, volume embolization ratio, and periprocedural complications were compared between the 2 groups.</p><p><strong>Results: </strong>Among the 287 aneurysms, 237 (82.6%) were treated with the Neuroform Atlas stent and 50 (17.4%) with the LVIS stent. Propensity score matching yielded 46 matched pairs. Immediately after treatment, group L demonstrated significantly higher rates of complete occlusion and a greater volume embolization ratio compared with group A (<i>P</i> = .022 and .004, respectively). At the 1-year follow-up, the complete occlusion rate remained significantly higher in group L than in group A (52% versus 24%; <i>P</i> = .007). The incidence of ischemic and hemorrhagic complications did not differ significantly between the 2 groups.</p><p><strong>Conclusions: </strong>For unruptured ICA aneurysms <10 mm in diameter, SAC using the LVIS stent was associated with a significantly higher rate of complete occlusion at 1 year compared with the Neuroform Atlas stent, without an increase in periprocedural complications. These results support the safety and efficacy of the LVIS stent in achieving favorable long-term angiographic outcomes in small- to medium-sized unruptured ICA aneurysms.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. American journal of neuroradiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146183783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Leptomeningeal Vascularity in Gadopiclenol-Enhanced Pediatric Brain MRI. 加多匹克诺增强儿童脑MRI的小脑膜血管。
Pub Date : 2026-02-12 DOI: 10.3174/ajnr.A9020
Sergio Valencia, Harry Griffin, Maria Camila Cortes-Albornoz, Suely Fazio Ferraciolli, Michael S Gee, Jad S Husseini, Fedel Machado-Rivas, Samuel Cartmell, Camilo Jaimes

Background and purpose: Gadolinium-based contrast agents (GBCAs) are essential in pediatric neuroimaging, enabling visualization of pathology that disrupts the blood-brain barrier. Gadopiclenol is a new macrocyclic GBCA with higher T1 relaxivity, permitting a 50% dose reduction while maintaining diagnostic quality. However, it is unknown whether this higher relaxivity alters background extra-axial vascular enhancement. We hypothesized that gadopiclenol, despite its lower dose, would increase background enhancement on postcontrast pediatric brain MRI compared with gadoterate meglumine (Gd-DOTA).

Materials and methods: In this retrospective observational study, 302 contrast-enhanced brain MRI studies in patients aged 2-18 years were reviewed: 151 with gadopiclenol (0.05 mmol/kg) and 151 with Gd-DOTA (0.1 mmol/kg). Postcontrast sequences included 3D T1 spin-echo (SE), 3D T1 spoiled gradient-echo (SPGR), 2D T1 TSE, and 2D FLAIR. Two neuroradiologists established binary enhancement categories based on sulcal enhancement thresholds (high versus low). One reader assigned scores for all studies; a second reader evaluated a subset for interobserver agreement. Logistic regression assessed the association between contrast agent and high enhancement, adjusting for age, sex, anesthesia, and scanner field strength.

Results: Gadopiclenol was independently associated with significantly greater odds of high extra-axial enhancement on all T1-weighted sequences: 3D T1 SE (OR = 10.2; P < .001), 3D T1 SPGR (OR = 10.7; P < .001), and 2D T1 TSE (OR = 14.0; P < .001). Anesthesia was also an independent predictor of high enhancement on 3D SE and SPGR. On 2D FLAIR, contrast agent had no effect; instead, younger age was associated with high enhancement (P = .022), with an age-anesthesia interaction suggesting attenuation of this effect under sedation. Interobserver agreement was moderate to substantial (κ = 0.530-0.632).

Conclusions: Gadopiclenol increases background extra-axial enhancement on T1-weighted postcontrast sequences in pediatric brain MRI, likely reflecting its higher relaxivity. Radiologists should be aware of this effect to avoid misinterpretation as leptomeningeal pathology. Postcontrast FLAIR remains unaffected and continues to serve as a reliable sequence for detecting true meningeal disease.

背景和目的:钆基造影剂(gbca)在儿童神经影像学中是必不可少的,可以使破坏血脑屏障的病理可视化。加多克lenol是一种新的大环GBCA,具有更高的T1松弛性,允许50%的剂量减少,同时保持诊断质量。然而,尚不清楚这种较高的弛豫度是否会改变背景轴外血管增强。我们假设,与gadterate meglumine (Gd-DOTA)相比,尽管剂量较低,gadadopiclenol会增加儿童脑MRI造影术后的背景增强。材料和方法:在这项回顾性观察性研究中,回顾了302例2-18岁患者的对比增强脑MRI研究:151例加多二烯醇(0.05 mmol/kg)和151例Gd-DOTA (0.1 mmol/kg)。对比后序列包括3D T1自旋回波(SE)、3D T1梯度回波(SPGR)、2D T1涡轮自旋回波(TSE)和2D FLAIR。两位神经放射学家根据脑沟增强阈值(高与低)建立了二元增强分类。一位读者给所有的研究打分;第二个读者评估了观察者间协议的子集。逻辑回归评估对比剂和高增强之间的关系,调整年龄、性别、麻醉和扫描仪场强度。结果:加多比lenol与所有T1加权序列的高轴外增强的几率显著增加独立相关:3D T1 SE (OR = 10.2, p < 0.001), 3D T1 SPGR (OR = 10.7, p < 0.001)和2D T1 TSE (OR = 14.0, p < 0.001)。麻醉也是3D SE和SPGR高增强的独立预测因子。在2D FLAIR上,造影剂无影响;相反,更年轻的年龄与高增强相关(p = 0.022),年龄-麻醉相互作用表明镇静下这种作用减弱。观察者间一致性为中度至重度(κ = 0.530-0.632)。结论:加多匹lenol增加了儿童脑MRI t1加权对比后序列的背景轴外增强,可能反映了其更高的松弛性。放射科医生应该意识到这种影响,以避免误解为脑膜轻症。对比后FLAIR不受影响,继续作为检测真脑膜疾病的可靠序列。缩写:GBCA=钆基造影剂;SE=自旋回波;SPGR=破坏梯度回波;涡轮自旋回波。
{"title":"Leptomeningeal Vascularity in Gadopiclenol-Enhanced Pediatric Brain MRI.","authors":"Sergio Valencia, Harry Griffin, Maria Camila Cortes-Albornoz, Suely Fazio Ferraciolli, Michael S Gee, Jad S Husseini, Fedel Machado-Rivas, Samuel Cartmell, Camilo Jaimes","doi":"10.3174/ajnr.A9020","DOIUrl":"10.3174/ajnr.A9020","url":null,"abstract":"<p><strong>Background and purpose: </strong>Gadolinium-based contrast agents (GBCAs) are essential in pediatric neuroimaging, enabling visualization of pathology that disrupts the blood-brain barrier. Gadopiclenol is a new macrocyclic GBCA with higher T1 relaxivity, permitting a 50% dose reduction while maintaining diagnostic quality. However, it is unknown whether this higher relaxivity alters background extra-axial vascular enhancement. We hypothesized that gadopiclenol, despite its lower dose, would increase background enhancement on postcontrast pediatric brain MRI compared with gadoterate meglumine (Gd-DOTA).</p><p><strong>Materials and methods: </strong>In this retrospective observational study, 302 contrast-enhanced brain MRI studies in patients aged 2-18 years were reviewed: 151 with gadopiclenol (0.05 mmol/kg) and 151 with Gd-DOTA (0.1 mmol/kg). Postcontrast sequences included 3D T1 spin-echo (SE), 3D T1 spoiled gradient-echo (SPGR), 2D T1 TSE, and 2D FLAIR. Two neuroradiologists established binary enhancement categories based on sulcal enhancement thresholds (high versus low). One reader assigned scores for all studies; a second reader evaluated a subset for interobserver agreement. Logistic regression assessed the association between contrast agent and high enhancement, adjusting for age, sex, anesthesia, and scanner field strength.</p><p><strong>Results: </strong>Gadopiclenol was independently associated with significantly greater odds of high extra-axial enhancement on all T1-weighted sequences: 3D T1 SE (OR = 10.2; <i>P</i> < .001), 3D T1 SPGR (OR = 10.7; <i>P</i> < .001), and 2D T1 TSE (OR = 14.0; <i>P</i> < .001). Anesthesia was also an independent predictor of high enhancement on 3D SE and SPGR. On 2D FLAIR, contrast agent had no effect; instead, younger age was associated with high enhancement (<i>P</i> = .022), with an age-anesthesia interaction suggesting attenuation of this effect under sedation. Interobserver agreement was moderate to substantial (κ = 0.530-0.632).</p><p><strong>Conclusions: </strong>Gadopiclenol increases background extra-axial enhancement on T1-weighted postcontrast sequences in pediatric brain MRI, likely reflecting its higher relaxivity. Radiologists should be aware of this effect to avoid misinterpretation as leptomeningeal pathology. Postcontrast FLAIR remains unaffected and continues to serve as a reliable sequence for detecting true meningeal disease.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. American journal of neuroradiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145182325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Imaging of CSF-Venous Fistulas at the High and Low Ends of the Spine: Techniques and Case Examples. 脊柱上下端csf -静脉瘘的影像学:技术和病例。
Pub Date : 2026-02-12 DOI: 10.3174/ajnr.A9058
Ajay A Madhavan, Michelle L Kodet, Marcel M Maya, Wouter I Schievink, Thien Huynh

CSF-venous fistulas are a common cause of spontaneous intracranial hypotension. Most CSF-venous fistulas occur in the thoracic spine, and recently described myelographic techniques have been primarily tailored to localize fistulas in this location.1-4 However, a small subset of CSF-venous fistulas can occur at the superior or inferior ends of the spine, ranging from the skull base to the sacrum. In this Video Article, we discuss modifications to decubitus myelography needed to safely and confidently diagnose CSF-venous fistulas at the extremes of the spine, including the skull base and sacrum.5-7 We also show unique case examples of these relatively uncommon leaks, which were found using decubitus digital subtraction or CT myelography with simple technical modifications.

csf -静脉瘘是自发性颅内低血压的常见原因。大多数csf -静脉瘘发生在胸椎,最近描述的脊髓造影技术主要用于定位该部位的瘘管。1-4然而,一小部分csf静脉瘘可发生在脊柱的上端或下端,范围从颅底到骶骨。在这篇视频文章中,我们讨论了安全、自信地诊断脊柱两端(包括颅底和骶骨)csf静脉瘘所需的躺下脊髓造影修改。5-7我们也展示了这些相对不常见的渗漏的独特病例,这些渗漏是通过简单的技术修改使用卧位数字减影或CT脊髓造影发现的。
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引用次数: 0
Towards robust and generalizable radio(gen)omics predictive models for brain tumor characterization. 针对脑肿瘤特征的稳健和可推广的无线电组学预测模型。
Pub Date : 2026-02-12 DOI: 10.3174/ajnr.A9229
Maria Nadeem, Asma Shaheen, Muhammad F A Chaudhary, Hassan Mohy-Ud-Din

Background and purpose: In the context of brain tumor characterization, we focused on two key questions which, to the best of our knowledge, have not been explored so far: (a) stability of radiomics features to variability in multi-regional segmentation masks obtained with fully-automatic deep segmentation methods and (b) subsequent impact on predictive performance on downstream prediction tasks. The hypothesis is that highly stable and discriminatory radiomics features lead to generalizable radiogenomics models in brain tumor characterization.

Materials and methods: We used the publicly available BraTS 2020 dataset for tumor segmentation and IDH prediction. For segmentation, the training cohort included 369 subjects with preoperative multiparametric 3D MRI (T1, T1-Gd, T2, and FLAIR) and manual annotations of tumor subregions (whole tumor, WT; tumor core, TC; enhancing core, EC), while the validation cohort comprised 125 subjects with imaging data only. For IDH prediction, the discovery dataset consisted of 148 subjects (57 IDH-mutant, 91 IDH-wildtype) and the testing dataset included 70 subjects (32 IDH-mutant, 38 IDH-wildtype). Seven state-of-the-art CNNs were used for fully automatic multi-regional tumor segmentation. Radiomics feature stability across segmentation models was assessed using the overall concordance correlation coefficient (OCCC), and discriminatory features were selected with recursive feature elimination with support vector machines (RFE-SVM). Predictive performance was evaluated using AUC, and model stability was quantified by the relative standard deviation (RSD) of AUC.

Results: Our study found that highly stable radiomics features were predominantly texture-based (79.1%), mainly extracted from the whole tumor (WT) region (96.1%), and largely derived from T1-Gd (35.9%) and T1 (28.0%) sequences. Mean feature stability (OCCC) was highest for WT (0.87 ± 0.12), followed by TC (0.76 ± 0.13), EC (0.72 ± 0.13), and shape features (0.72 ± 0.11), with shape and EC features showing the lowest stability. Stability filtering reduced non-physiological variability, as reflected by a lower RSD (2.28% vs. 0.64%), and significantly improved predictive performance across eight segmentation schemes (AUC: 0.81 ± 0.02 vs. 0.94 ± 0.006).

Conclusion: Robust and generalizable radiogenomics models can be learned with highly stable and discriminatory radiomics features.

背景和目的:在脑肿瘤表征的背景下,我们专注于两个关键问题,据我们所知,迄今为止尚未探讨:(a)放射组学特征对全自动深度分割方法获得的多区域分割掩模变异性的稳定性;(b)随后对下游预测任务的预测性能的影响。假设是高度稳定和歧视性的放射组学特征导致脑肿瘤表征中可推广的放射基因组学模型。材料和方法:我们使用公开的BraTS 2020数据集进行肿瘤分割和IDH预测。为了进行分割,训练队列包括369名术前多参数3D MRI (T1, T1- gd, T2和FLAIR)和肿瘤亚区手工注释(全肿瘤,WT;肿瘤核心,TC;增强核心,EC)的受试者,而验证队列包括125名仅具有影像学数据的受试者。对于IDH预测,发现数据集包括148名受试者(57名IDH突变型,91名IDH野生型),测试数据集包括70名受试者(32名IDH突变型,38名IDH野生型)。七个最先进的cnn被用于全自动多区域肿瘤分割。利用总体一致性相关系数(OCCC)评估各分割模型间放射组学特征的稳定性,并利用支持向量机(RFE-SVM)递归特征消去选择鉴别特征。用AUC评价预测性能,用AUC的相对标准偏差(RSD)量化模型稳定性。结果:我们的研究发现,高度稳定的放射组学特征主要基于纹理(79.1%),主要来自整个肿瘤(WT)区域(96.1%),主要来自T1- gd(35.9%)和T1(28.0%)序列。WT的平均特征稳定性(OCCC)最高(0.87±0.12),其次是TC(0.76±0.13)、EC(0.72±0.13)和形状特征(0.72±0.11),形状和EC特征的稳定性最低。稳定性滤波降低了非生理变异性,反映在较低的RSD (2.28% vs. 0.64%)上,并显著提高了8种分割方案的预测性能(AUC: 0.81±0.02 vs. 0.94±0.006)。结论:具有高度稳定性和差异性的放射组学特征,可以学习稳健和可推广的放射基因组学模型。
{"title":"Towards robust and generalizable radio(gen)omics predictive models for brain tumor characterization.","authors":"Maria Nadeem, Asma Shaheen, Muhammad F A Chaudhary, Hassan Mohy-Ud-Din","doi":"10.3174/ajnr.A9229","DOIUrl":"https://doi.org/10.3174/ajnr.A9229","url":null,"abstract":"<p><strong>Background and purpose: </strong>In the context of brain tumor characterization, we focused on two key questions which, to the best of our knowledge, have not been explored so far: (a) stability of radiomics features to variability in multi-regional segmentation masks obtained with fully-automatic deep segmentation methods and (b) subsequent impact on predictive performance on downstream prediction tasks. The hypothesis is that highly stable and discriminatory radiomics features lead to generalizable radiogenomics models in brain tumor characterization.</p><p><strong>Materials and methods: </strong>We used the publicly available BraTS 2020 dataset for tumor segmentation and IDH prediction. For segmentation, the training cohort included 369 subjects with preoperative multiparametric 3D MRI (T1, T1-Gd, T2, and FLAIR) and manual annotations of tumor subregions (whole tumor, WT; tumor core, TC; enhancing core, EC), while the validation cohort comprised 125 subjects with imaging data only. For IDH prediction, the discovery dataset consisted of 148 subjects (57 IDH-mutant, 91 IDH-wildtype) and the testing dataset included 70 subjects (32 IDH-mutant, 38 IDH-wildtype). Seven state-of-the-art CNNs were used for fully automatic multi-regional tumor segmentation. Radiomics feature stability across segmentation models was assessed using the overall concordance correlation coefficient (OCCC), and discriminatory features were selected with recursive feature elimination with support vector machines (RFE-SVM). Predictive performance was evaluated using AUC, and model stability was quantified by the relative standard deviation (RSD) of AUC.</p><p><strong>Results: </strong>Our study found that highly stable radiomics features were predominantly texture-based (79.1%), mainly extracted from the whole tumor (WT) region (96.1%), and largely derived from T1-Gd (35.9%) and T1 (28.0%) sequences. Mean feature stability (OCCC) was highest for WT (0.87 ± 0.12), followed by TC (0.76 ± 0.13), EC (0.72 ± 0.13), and shape features (0.72 ± 0.11), with shape and EC features showing the lowest stability. Stability filtering reduced non-physiological variability, as reflected by a lower RSD (2.28% vs. 0.64%), and significantly improved predictive performance across eight segmentation schemes (AUC: 0.81 ± 0.02 vs. 0.94 ± 0.006).</p><p><strong>Conclusion: </strong>Robust and generalizable radiogenomics models can be learned with highly stable and discriminatory radiomics features.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. American journal of neuroradiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146183774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neuroimaging in Low- to Middle-Income Countries: A Health Equity Perspective. 中低收入国家的神经影像学:健康公平的视角。
Pub Date : 2026-02-12 DOI: 10.3174/ajnr.A9098
Bhavana Budigi, Jeanie Choi, Rahul Bhala, Haris I Sair, Michele H Johnson, Paul M Bunch

Background: Inequities in neuroimaging access represent a major barrier to timely diagnosis and treatment of neurologic disease, particularly in low- and middle-income countries. This article examines factors contributing to neuroimaging access challenges in low- and middle-income countries and discusses practical, sustainable strategies to improve equity in global neuroimaging capacity.

Methods: This State of Practice was developed by the members of the American Society of Neuroradiology's Diversity and Inclusion Committee, who reviewed published literature, global radiology workforce data, and Accreditation Council for Graduate Medical Education training statistics. The committee members also integrated insights from outreach experiences and collaborations with professional organizations working to improve global health.

Key message: Bridging neuroimaging disparities requires coordinated action that integrates technological innovation, workforce development, and long-term collaboration. Expanding the use of portable and low-cost imaging systems, global teleradiology, and artificial intelligence alongside education, outreach, and policy engagement can help build capacity and improve access. Sustained partnerships between high- and low-resource regions are essential to achieving a more equitable and globally connected neuroradiology community with the potential to improve health outcomes worldwide.

背景:神经影像获取的不公平是及时诊断和治疗神经系统疾病的主要障碍,特别是在低收入和中等收入国家。本文探讨了在低收入和中等收入国家导致神经成像获取挑战的因素,并讨论了切实可行的可持续战略,以提高全球神经成像能力的公平性。方法:本实践状态由美国神经放射学会多样性和包容性委员会的成员制定,他们审查了已发表的文献、全球放射学劳动力数据和研究生医学教育培训认证委员会的统计数据。委员会成员还综合了从外联经验和与致力于改善全球卫生的专业组织的合作中获得的见解。关键信息:弥合神经影像学差异需要协调行动,将技术创新、劳动力发展和长期合作结合起来。在教育、外联和政策参与的同时,扩大便携式和低成本成像系统、全球远程放射学和人工智能的使用,有助于能力建设和改善获取途径。资源丰富地区和资源贫乏地区之间的持续伙伴关系对于实现更加公平和全球联系的神经放射学社区,并有可能改善全世界的健康结果至关重要。
{"title":"Neuroimaging in Low- to Middle-Income Countries: A Health Equity Perspective.","authors":"Bhavana Budigi, Jeanie Choi, Rahul Bhala, Haris I Sair, Michele H Johnson, Paul M Bunch","doi":"10.3174/ajnr.A9098","DOIUrl":"https://doi.org/10.3174/ajnr.A9098","url":null,"abstract":"<p><strong>Background: </strong>Inequities in neuroimaging access represent a major barrier to timely diagnosis and treatment of neurologic disease, particularly in low- and middle-income countries. This article examines factors contributing to neuroimaging access challenges in low- and middle-income countries and discusses practical, sustainable strategies to improve equity in global neuroimaging capacity.</p><p><strong>Methods: </strong>This State of Practice was developed by the members of the American Society of Neuroradiology's Diversity and Inclusion Committee, who reviewed published literature, global radiology workforce data, and Accreditation Council for Graduate Medical Education training statistics. The committee members also integrated insights from outreach experiences and collaborations with professional organizations working to improve global health.</p><p><strong>Key message: </strong>Bridging neuroimaging disparities requires coordinated action that integrates technological innovation, workforce development, and long-term collaboration. Expanding the use of portable and low-cost imaging systems, global teleradiology, and artificial intelligence alongside education, outreach, and policy engagement can help build capacity and improve access. Sustained partnerships between high- and low-resource regions are essential to achieving a more equitable and globally connected neuroradiology community with the potential to improve health outcomes worldwide.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. American journal of neuroradiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146183776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Factors Influencing Cranial Nerve Palsy in Cavernous Sinus Dural Arteriovenous Fistulas. 影响海绵状窦硬膜动静脉瘘脑神经麻痹的因素。
Pub Date : 2026-02-12 DOI: 10.3174/ajnr.A9018
Kyubong Lee, Sangil Park, Jong-Tae Yoon, Boseong Kwon, Deok Hee Lee, Yunsun Song

Background and purpose: Cranial nerve palsy (CNP) is a significant manifestation of cavernous sinus dural arteriovenous fistulas (CSDAVFs), but factors influencing its occurrence, aggravation, and resolution remain unclear. This study aimed to identify clinical and angiographic variables associated with CNP in patients with CSDAVF undergoing endovascular treatment (EVT).

Materials and methods: We retrospectively reviewed 196 patients treated for CSDAVF at a tertiary hospital between October 1991 and March 2023. Patient demographics, clinical presentation, imaging findings, treatment specifics, and outcomes were analyzed to identify factors associated with CNP at presentation, aggravation after EVT, and resolution during follow-up.

Results: Among the 196 patients (mean age, 59.3 ± 11.6 years; 23.5% men), 73.0% presented with CNP. The proliferative type (OR: 2.82; 95% CI: 1.26-6.29; P = .01) and contralateral feeders (OR: 2.53; 95% CI: 1.17-5.46; P = .02) were significantly associated with initial CNP. Aggravation of CNP occurred in 8.7% of cases, primarily associated with diffuse coil packing (P = .01) and specific coil packing locations in the cavernous sinus (superolateral for third CNP, P =.01; posterolateral for sixth CNP, P < .001). Complete resolution of CNP was achieved in 84% of patients, with hypertension (hazard ratios [HR]: 0.55; 95% CI: 0.35-0.87; P = .01), initial gross extraocular movement limitation (HR: 0.53; 95% CI: 0.35-0.81; P = .003), retreatment (HR: 0.50; 95% CI: 0.28-0.90; P = .02), and orbital pattern (HR: 1.70; 95% CI: 1.03-2.81; P = .04) identified as significant predictors.

Conclusions: Proliferative fistula type and contralateral feeders were associated with initial CNP in CSDAVFs, while coil packing location significantly influenced posttreatment aggravation. Complete CNP resolution was achieved in most patients, though factors such as hypertension, severe initial symptoms, and retreatment negatively affected recovery. These findings highlight key clinical and angiographic variables critical for guiding treatment strategies and predicting outcomes in patients with CSDAVF.

背景与目的:脑神经麻痹(CNP)是海绵窦硬膜动静脉瘘(CSDAVFs)的重要表现,但影响其发生、加重和消退的因素尚不清楚。本研究旨在确定在接受血管内治疗(EVT)的CSDAVF患者中与CNP相关的临床和血管造影变量。材料和方法:我们回顾性分析了1991年10月至2023年3月在一家三级医院接受CSDAVF治疗的196例患者。分析患者人口统计学、临床表现、影像学表现、治疗细节和结果,以确定出现时CNP的相关因素、EVT后的加重以及随访期间的缓解。结果:196例患者(平均年龄59.3±11.6岁,男性23.5%)中,73.0%出现CNP。增殖型(OR: 2.82; 95% CI: 1.26-6.29; P = 0.01)和对侧喂食型(OR: 2.53; 95% CI: 1.17-5.46; P = 0.02)与初始CNP显著相关。8.7%的病例发生CNP加重,主要与弥漫性线圈填充(P = 0.01)和海绵窦中特定的线圈填充位置有关(第三个CNP为上外侧,P = 0.01;第六个CNP为后外侧,P < 0.001)。84%的患者实现了CNP的完全缓解,其中高血压(风险比[HR]: 0.55; 95% CI: 0.35-0.87; P = 0.01)、初始总眼外运动限制(HR: 0.53; 95% CI: 0.35-0.81; P = 0.003)、再治疗(HR: 0.50; 95% CI: 0.28-0.90; P = 0.02)和眼窝形态(HR: 1.70; 95% CI: 1.03-2.81; P = 0.04)被认为是重要的预测因素。结论:增殖性瘘管类型和对侧喂食器与csdavf的初始CNP相关,而线圈填充位置显著影响治疗后加重。尽管高血压、严重的初始症状和再治疗等因素对恢复产生负面影响,但大多数患者的CNP完全消退。这些发现强调了指导治疗策略和预测CSDAVF患者预后的关键临床和血管造影变量。
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引用次数: 0
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AJNR. American journal of neuroradiology
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