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Single-stent strategy for a dissected carotid loop in acute tandem occlusion: Technical considerations 急性串联闭塞中颈动脉袢夹层的单支架策略:技术考虑
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-07-21 DOI: 10.1016/j.neurad.2025.101373
Jean Papaxanthos, Malgorzata Milnerowicz, Xavier Barreau, Omer Eker, Jerome Berge, Gaultier Marnat, Thomas Courret
Managing a dissected carotid loop in tandem occlusion stroke is a challenging situation. Despite the low stroke recurrence rate after spontaneous carotid dissection, some situations may require carotid stenting.1, 2, 3 After intracranial revascularization, several complex endovascular techniques have been reported, aiming to adapt to the tortuous anatomy of the carotid and involving extensive metal coverage through telescopic stenting and flow diverters in the acute phase.4, 5, 6 In this video,
处理颈动脉袢夹层在串联闭塞性中风是一个具有挑战性的情况。尽管自发性颈动脉夹层后卒中复发率低,但在某些情况下可能需要颈动脉支架植入术。1,2,3颅内血运重建术后,一些复杂的血管内技术已被报道,旨在适应颈动脉的扭曲解剖,并在急性期通过伸缩支架置入和血流分流器广泛覆盖金属。4,5,6在这个视频中,
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引用次数: 0
Dual antiplatelet therapy practices following Pipeline Shield embolization and their impact on adverse events in three large real-life registries 管道屏蔽栓塞后的双重抗血小板治疗实践及其对三个大型现实生活登记不良事件的影响
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-07-19 DOI: 10.1016/j.neurad.2025.101372
Jildaz Caroff , Cristian Mihalea , Jens Fiehler , Mario Martinez-Galdamez , Saleh Lamin , Markus Holtmannspötter , Laurent Spelle

Background

Dual Antiplatelet Therapy (DAPT) prescription following flow-diverter stent treatment of intracranial aneurysms is standard of care but evidence regarding the drugs of choice and duration of DAPT remains limited. We aim report to report practitioners’ DAPT prescribing habits and to analysis their impact on adverse events in real-world use of Pipeline™ Flex with Shield Technology stent.

Methods

Data from 3 post-market core lab adjudicated studies were retrospectively analyzed. Patients with acutely ruptured aneurysms, or on single APT were excluded. DAPT durations were collected, and patients were divided in 2 DAPT duration groups (< or ≥ 6 months).

Results

The analysis included 707 patients with 776 aneurysms. The P2Y12 inhibitor of choice was mainly clopidogrel in 68.7 %, ticagrelor in 15.8 % and prasugrel in 12.2 %. Median DAPT duration was 177 days (IQR 93–227). Younger patients and those with mRS ≤ 2 significantly received longer DAPT. Global ischemic stroke rate was 3.2 % (2.5 % before and 0.7 % after DAPT discontinuation) whereas major bleeding risk was 3.5 % (3.5 % before and 0 % after DAPT discontinuation). Post-discharge ischemic stroke and major bleeding rates were 1.8 % and 1.4 % respectively. Cumulative rates of both thromboembolic complications and ischemic strokes were higher in the < 6 months group (7.5 %) vs < 6 months group (4.6 %) without reaching statistical significance.

Conclusion

In this large real-world retrospective analysis, most major adverse events were reported within 30 days post-FDS procedure. Complications rates after discharge and after DAPT discontinuation were very low and similar between DAPT duration groups. These data provide a foundation for designing future prospective studies to evaluate optimal DAPT protocols—both in terms of drug type and duration—which could potentially inform future clinical guidelines.
背景:颅内动脉瘤分流支架治疗后的双重抗血小板治疗(DAPT)处方是标准的治疗方法,但关于DAPT药物的选择和持续时间的证据仍然有限。我们的目标是报告从业者的DAPT处方习惯,并分析他们在实际使用Pipeline™Flex与Shield技术支架时对不良事件的影响。方法回顾性分析3项上市后核心实验室评审研究的数据。排除急性动脉瘤破裂或单一APT患者。收集DAPT持续时间,将患者分为2个DAPT持续时间组(<;或≥6个月)。结果共纳入707例动脉瘤776例。选择P2Y12抑制剂的主要是氯吡格雷(68.7%)、替格瑞洛(15.8%)和普拉格雷(12.2%)。DAPT中位持续时间为177天(IQR 93-227)。年轻患者和mRS≤2的患者接受更长时间的DAPT治疗。全球缺血性卒中发生率为3.2%(停用DAPT前为2.5%,停药后为0.7%),而主要出血风险为3.5%(停用DAPT前为3.5%,停药后为0%)。出院后缺血性卒中和大出血发生率分别为1.8%和1.4%。血栓栓塞并发症和缺血性脑卒中的累积发生率均高于对照组;6个月组(7.5%)vs <;6个月组(4.6%),差异无统计学意义。结论:在这项大型现实世界回顾性分析中,大多数主要不良事件报告发生在fds手术后30天内。出院后和停用DAPT后的并发症发生率非常低,DAPT持续时间组之间相似。这些数据为设计未来的前瞻性研究提供了基础,以评估最佳的DAPT方案——包括药物类型和持续时间——这可能会为未来的临床指南提供信息。
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引用次数: 0
Impact of M2-segment occlusion angiographic shape on recanalization and clinical outcomes in mechanical thrombectomy 机械取栓术中m2段闭塞血管造影形态对再通及临床结果的影响
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-07-16 DOI: 10.1016/j.neurad.2025.101371
Osama Elshafei , Jonathan Cortese , Ali Gaber , Eman Eltantawy , Adrian Dan Popica , Léon Ikka , Cristian Mihalea , Vanessa Chalumeau , Mariana Sarov , Olivier Chassin , Christian Denier , Jildaz Caroff , Laurent Spelle

Background

Mechanical thrombectomy (MT) for M2-segment occlusions of the middle cerebral artery can be an effective treatment for acute ischemic stroke but its effectiveness and the choice of the first line strategy remains unanswered questions. The angiographic shape of the occlusion has been suggested to impact the recanalization rates in M1-segment occlusions. We aimed to investigate whether the angiographic shape of the M2-segment impacts the outcomes of MT with stent retriever (SR) or contact aspiration (CA).

Methods

From January 2015 to December 2022, consecutive patients admitted to a single high-volume institution for acute ischemic stroke with an M2-segment occlusion treated by MT were included and retrospectively analyzed. Patients were classified into two groups, regular or irregular, according to the angiographic occlusion shape. Patients demographic, procedural, clinical and safety outcomes data were reviewed.

Results

A total of 214 MT procedures were included and categorized as regular (39 %) and irregular (61 %) shape occlusion groups. Interrater agreement was high (k = 94 %). There were no significant differences between the two groups as regard demographic, procedural, clinical and safety outcomes except for smoking (33.5 % vs 16.8 %, p = 0.01). Procedural outcomes, recanalization rates and clinical outcomes did not significantly differ between the regular and irregular occlusion groups. In subgroup analysis, for irregular occlusions SR as a first-line strategy was associated with higher rates of excellent recanalization (mTICI 2c - 3) after the first pass compared to CA±SR (44 % vs 27.16 %, p = 0.05), and also better clinical outcomes, with lower 24-hour NIHSS (p < 0.01) and lower 3-month mRS (p = 0.04). In regular occlusions, no significant differences were found in recanalization rates or clinical outcomes when using SR or CA±SR.

Conclusion

Choosing SR as the first line strategy for irregular shape M2-segment occlusions is associated with higher rates of recanalization after the first pass and better clinical outcomes. Further prospective studies are needed to confirm our findings.
背景:机械取栓治疗大脑中动脉m2段闭塞是治疗急性缺血性脑卒中的有效方法,但其有效性和一线策略的选择仍未得到解答。闭塞的血管造影形状被认为会影响m1段闭塞的再通率。我们的目的是研究血管成像的形状是否会影响支架回收器(SR)或接触吸入(CA)的MT结果。方法纳入2015年1月至2022年12月在同一家大容量医院连续收治的急性缺血性卒中m2段闭塞患者,并对其进行回顾性分析。根据血管造影闭塞形态将患者分为规则组和不规则组。回顾了患者的人口学、程序、临床和安全结局数据。结果共纳入214例MT手术,分为规则(39%)和不规则(61%)形状闭塞组。研究者间一致性高(k = 94%)。除吸烟外,两组在人口学、程序、临床和安全性方面均无显著差异(33.5% vs 16.8%, p = 0.01)。手术结果、再通率和临床结果在规则组和不规则组之间无显著差异。在亚组分析中,对于不规则闭塞,与CA±SR相比,SR作为一线策略在第一次通道后具有更高的优秀再通率(mTICI 2c - 3) (44% vs 27.16%, p = 0.05),并且具有更好的临床结果,24小时NIHSS较低(p <;3个月mRS较低(p = 0.04)。在常规闭塞情况下,使用SR或CA±SR在再通率和临床结果上无显著差异。结论选择SR作为不规则形状m2段闭塞的一线治疗策略,一遍通后再通率较高,临床效果较好。需要进一步的前瞻性研究来证实我们的发现。
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引用次数: 0
Would you board a plane if the pilot had never trained on a flight simulator? 如果飞行员从未在飞行模拟器上接受过训练,你会登上飞机吗?
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-07-04 DOI: 10.1016/j.neurad.2025.101370
Baptiste Donnard , Gregoire Boulouis , Aymeric Rouchaud , Gaultier Marnat , Thibault Agripnidis , Jean-Pierre Pruvo , Kevin Janot
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引用次数: 0
BrainAGE latent representation clustering is associated with longitudinal disease progression in early-onset Alzheimer’s disease 脑龄潜伏表征聚类与早发性阿尔茨海默病的纵向疾病进展相关
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-07-03 DOI: 10.1016/j.neurad.2025.101365
Dorian Manouvriez , Grégory Kuchcinski , Vincent Roca , Adeline Rollin Sillaire , Maxime Bertoux , Xavier Delbeuck , Jean-Pierre Pruvo , Simon Lecerf , Florence Pasquier , Thibaud Lebouvier , Renaud Lopes

Introduction

Early-onset Alzheimer’s disease (EOAD) population is a clinically, genetically and pathologically heterogeneous condition. Identifying biomarkers related to disease progression is crucial for advancing clinical trials and improving therapeutic strategies. This study aims to differentiate EOAD patients with varying rates of progression using Brain Age Gap Estimation (BrainAGE)-based clustering algorithm applied to structural magnetic resonance images (MRI).

Methods

A retrospective analysis of a longitudinal cohort consisting of 142 participants who met the criteria for early-onset probable Alzheimer’s disease was conducted. Participants were assessed clinically, neuropsychologically and with structural MRI at baseline and annually for 6 years. A Brain Age Gap Estimation (BrainAGE) deep learning model pre-trained on 3,227 3D T1-weighted MRI of healthy subjects was used to extract encoded MRI representations at baseline. Then, k-means clustering was performed on these encoded representations to stratify the population. The resulting clusters were then analyzed for disease severity, cognitive phenotype and brain volumes at baseline and longitudinally.

Results

The optimal number of clusters was determined to be 2. Clusters differed significantly in BrainAGE scores (5.44 [± 8] years vs 15.25 [± 5 years], p < 0.001). The high BrainAGE cluster was associated with older age (p = 0.001) and higher proportion of female patients (p = 0.005), as well as greater disease severity based on Mini Mental State Examination (MMSE) scores (19.32 [±4.62] vs 14.14 [±6.93], p < 0.001) and gray matter volume (0.35 [±0.03] vs 0.32 [±0.02], p < 0.001). Longitudinal analyses revealed significant differences in disease progression (MMSE decline of -2.35 [±0.15] pts/year vs -3.02 [±0.25] pts/year, p = 0.02; CDR 1.58 [±0.10] pts/year vs 1.99 [±0.16] pts/year, p = 0.03).

Conclusion

K-means clustering of BrainAGE encoded representations stratified EOAD patients based on varying rates of disease progression. These findings underscore the potential of using BrainAGE as a biomarker for better understanding and managing EOAD.
早发性阿尔茨海默病(EOAD)人群是一种临床、遗传和病理异质性疾病。识别与疾病进展相关的生物标志物对于推进临床试验和改进治疗策略至关重要。本研究旨在使用基于脑年龄差距估计(BrainAGE)的聚类算法,将其应用于结构磁共振图像(MRI),以区分不同进展速度的EOAD患者。方法对142名符合早发性可能阿尔茨海默病标准的参与者进行纵向队列回顾性分析。参与者在基线和每年进行6年的临床、神经心理和结构MRI评估。脑年龄差距估计(BrainAGE)深度学习模型预先训练了3227个健康受试者的3D t1加权MRI,用于提取基线的编码MRI表征。然后,对这些编码表示进行k-means聚类,对总体进行分层。然后在基线和纵向上分析所得到的聚类的疾病严重程度、认知表型和脑容量。结果确定最佳聚类数为2个。脑龄评分差异有统计学意义(5.44[±8]年vs 15.25[±5]年,p <;0.001)。高脑龄组与年龄较大(p = 0.001)、女性患者比例较高(p = 0.005)以及基于迷你精神状态检查(MMSE)评分的疾病严重程度较高相关(19.32[±4.62]vs 14.14[±6.93],p <;0.001)和灰质体积(0.35[±0.03]vs 0.32[±0.02],p <;0.001)。纵向分析显示疾病进展差异显著(MMSE下降为-2.35[±0.15]pts/年vs -3.02[±0.25]pts/年,p = 0.02;CDR为1.58[±0.10]分/年vs 1.99[±0.16]分/年,p = 0.03)。结论:基于不同的疾病进展率,BrainAGE编码表征的k均值聚类对EOAD患者进行分层。这些发现强调了使用BrainAGE作为更好地理解和管理EOAD的生物标志物的潜力。
{"title":"BrainAGE latent representation clustering is associated with longitudinal disease progression in early-onset Alzheimer’s disease","authors":"Dorian Manouvriez ,&nbsp;Grégory Kuchcinski ,&nbsp;Vincent Roca ,&nbsp;Adeline Rollin Sillaire ,&nbsp;Maxime Bertoux ,&nbsp;Xavier Delbeuck ,&nbsp;Jean-Pierre Pruvo ,&nbsp;Simon Lecerf ,&nbsp;Florence Pasquier ,&nbsp;Thibaud Lebouvier ,&nbsp;Renaud Lopes","doi":"10.1016/j.neurad.2025.101365","DOIUrl":"10.1016/j.neurad.2025.101365","url":null,"abstract":"<div><h3>Introduction</h3><div>Early-onset Alzheimer’s disease (EOAD) population is a clinically, genetically and pathologically heterogeneous condition. Identifying biomarkers related to disease progression is crucial for advancing clinical trials and improving therapeutic strategies. This study aims to differentiate EOAD patients with varying rates of progression using Brain Age Gap Estimation (BrainAGE)-based clustering algorithm applied to structural magnetic resonance images (MRI).</div></div><div><h3>Methods</h3><div>A retrospective analysis of a longitudinal cohort consisting of 142 participants who met the criteria for early-onset probable Alzheimer’s disease was conducted. Participants were assessed clinically, neuropsychologically and with structural MRI at baseline and annually for 6 years. A Brain Age Gap Estimation (BrainAGE) deep learning model pre-trained on 3,227 3D T1-weighted MRI of healthy subjects was used to extract encoded MRI representations at baseline. Then, k-means clustering was performed on these encoded representations to stratify the population. The resulting clusters were then analyzed for disease severity, cognitive phenotype and brain volumes at baseline and longitudinally.</div></div><div><h3>Results</h3><div>The optimal number of clusters was determined to be 2. Clusters differed significantly in BrainAGE scores (5.44 [± 8] years vs 15.25 [± 5 years], <em>p</em> &lt; 0.001). The high BrainAGE cluster was associated with older age (<em>p</em> = 0.001) and higher proportion of female patients (<em>p</em> = 0.005), as well as greater disease severity based on Mini Mental State Examination (MMSE) scores (19.32 [±4.62] vs 14.14 [±6.93], <em>p</em> &lt; 0.001) and gray matter volume (0.35 [±0.03] vs 0.32 [±0.02], <em>p</em> &lt; 0.001). Longitudinal analyses revealed significant differences in disease progression (MMSE decline of -2.35 [±0.15] pts/year vs -3.02 [±0.25] pts/year, <em>p</em> = 0.02; CDR 1.58 [±0.10] pts/year vs 1.99 [±0.16] pts/year, <em>p</em> = 0.03).</div></div><div><h3>Conclusion</h3><div>K-means clustering of BrainAGE encoded representations stratified EOAD patients based on varying rates of disease progression. These findings underscore the potential of using BrainAGE as a biomarker for better understanding and managing EOAD.</div></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"52 5","pages":"Article 101365"},"PeriodicalIF":3.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144536133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","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 the Neuroform Atlas stent for bifurcation type unruptured cerebral aneurysms: Comparison of single versus Y stents with propensity score matching 神经形态Atlas支架治疗分叉型未破裂脑动脉瘤的疗效和安全性:单支架与Y支架倾向评分匹配的比较
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-07-01 DOI: 10.1016/j.neurad.2025.101369
Rintaro Tachi , Michiyasu Fuga , Toshihiro Ishibashi , Kazufumi Horiuchi , Akihiko Teshigawara , Ken Aoki , Issei Kan , Toshihide Tanaka , Yuichi Murayama

Background and Purpose

Y-stent-assisted coiling (Y-SAC) using two stents can provide adequate coverage of the aneurysm neck even in wide-neck bifurcation-type aneurysms, but whether it is more effective and safer than single-stent-assisted coiling (S-SAC) remains unclear. The purpose of this study was to investigate the efficacy and safety of Y-SAC with the Neuroform Atlas stent for bifurcation-type unruptured cerebral aneurysms (UCAs).

Materials and Methods

A total of 186 bifurcation-type UCAs treated with the Neuroform Atlas stent were retrospectively reviewed. The aneurysms were divided into Y-SAC and S-SAC groups. Angiographic occlusion status and complication rates were analyzed using 1:2 propensity score matching.

Results

Of the 186 UCAs, 17 (9.1 %) were treated by Y-SAC. Propensity score matching was successful for 14 UCAs in the Y-SAC group and 28 UCAs in the S-SAC group. After propensity score matching, the Y-SAC group had a higher rate of complete occlusion immediately after treatment (71.4 % vs. 32.1 %, P = 0.023), a significantly higher volume embolization ratio (33.3 % [IQR: 30.4, 38.5] vs. 28.9 % [IQR: 24.1, 32.4], P = 0.03), and higher device and implant costs ($11,335 [IQR: $10,427, $13,894] vs. $9592 [IQR: $8211, $10,959], P = 0.002) compared to the S-SAC group. However, the rate of complete occlusion at one year (78.6 % vs. 64.3 %, P = 0.485) and the recanalization rate (14.3 % vs. 3.6 %, P = 0.254) did not differ significantly between the two groups. No significant differences in the incidences of any complications were found between the two groups.

Conclusions

Y-SAC did not improve the complete occlusion rate at one year or reduce the risk of recanalization compared with S-SAC. Given its procedural simplicity and cost-effectiveness, S-SAC may be the preferred strategy for embolizing bifurcation-type UCAs.
背景与目的:使用两个支架的y -支架辅助卷绕(Y-SAC)即使在宽颈分岔型动脉瘤中也能提供足够的动脉瘤颈部覆盖,但是否比单支架辅助卷绕(S-SAC)更有效和安全尚不清楚。本研究的目的是探讨Y-SAC联合神经形态Atlas支架治疗分叉型未破裂脑动脉瘤(UCAs)的疗效和安全性。材料与方法:回顾性分析应用Neuroform Atlas支架治疗的186例分叉型uca。动脉瘤分为Y-SAC组和S-SAC组。采用1:2倾向评分匹配分析血管造影闭塞状况和并发症发生率。结果:186例uca中,Y-SAC治疗17例(9.1%)。Y-SAC组14例uca和S-SAC组28例uca的倾向评分匹配成功。倾向评分匹配后,Y-SAC组治疗后立即完全闭塞率较高(71.4%比32.1%,P=0.023),体积栓塞率显著高于S-SAC组(33.3% [IQR: 30.4, 38.5]比28.9% [IQR: 24.1, 32.4], P=0.03),器械和种植体费用较高(11,335美元[IQR: 10,427美元,13,894美元]比9,592美元[IQR: 8,211美元,10,959美元],P=0.002)。然而,两组1年完全闭塞率(78.6% vs. 64.3%, P=0.485)和再通率(14.3% vs. 3.6%, P=0.254)无显著差异。两组患者并发症发生率无显著差异。结论:与S-SAC相比,Y-SAC不能提高1年完全闭塞率,也不能降低再通的风险。鉴于其程序简单和成本效益,S-SAC可能是栓塞分叉型uca的首选策略。
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引用次数: 0
The “Ozone-Strasse” sign: a novel CT finding after intradiscal ozone therapy “臭氧- strasse”征象:椎间盘内臭氧治疗后的新CT表现。
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-06-30 DOI: 10.1016/j.neurad.2025.101368
A. Bellelli , V. D’Andrea , N.C. Bianco , B. Beomonte Zobel , M. Pileri
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引用次数: 0
Balloon angioplasty alone in carotid artery dissections: an overlooked therapeutic choice in acute ischemic stroke 颈动脉夹层单独球囊血管成形术:急性缺血性脑卒中中被忽视的治疗选择。
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-06-28 DOI: 10.1016/j.neurad.2025.101367
Joe-Marie Abousleiman , Christophe Cognard , Fabrice Bonneville , Gaultier Marnat , Anne-Christine Januel , Philippe Tall , Federico Sacchetti , Alain Viguier , Magali Raveneau , Bertrand Lapergue , Guillaume Bellanger , ETIS investigators

Background & purpose

Carotid dissection is a major cause of ischemic stroke in young patients and its endovascular management is complex and lacks consensus. Our aim was to carry out the first comparative evaluation of balloon angioplasty alone versus stenting in the endovascular treatment of acute carotid artery dissection presenting with acute stroke.

Materials and methods

From the national ETIS (Endovascular Treatment of Ischemic Stroke) registry, between January 2015 and 2023, we included patients with acute ischemic stroke secondary to internal carotid artery dissection who underwent endovascular treatment. We compared clinical and imaging outcomes at a 3-month follow-up between two endovascular approaches for managing carotid artery dissection: balloon angioplasty alone versus stenting.

Results

Among the 160 patients included, 26 underwent balloon angioplasty alone, and 134 received carotid stenting. At the 3-month follow-up, the distribution of modified Rankin Scale (mRS) scores did not differ significantly between groups (p = 0.73).
Additionally, at 24 h there were no significant differences observed between the two groups regarding intracranial haemorrhage (31 % angioplasty alone vs. 45 % stenting; p = 0.202), carotid artery patency immediately after endovascular procedure (38.5 % vs 36 %, p = 0.826) or at 24 h (50 % vs. 51 %; p = 0.9), NIHSS scores (11 ± 8 vs. 11 ± 9; p = 0.972) or emboli in new-territory (11.5 % vs. 9 %; p = 0.713).

Conclusion

Although infrequently performed, balloon angioplasty alone showed comparable safety and efficacy to stenting and may represent a valid option in selected cases. Nonetheless, the observational design and small sample size warrant caution, and further studies are needed to confirm these findings.
背景与目的:颈动脉夹层是年轻缺血性脑卒中的主要原因,其血管内处理复杂且缺乏共识。我们的目的是首次比较评价单纯球囊血管成形术与支架置入在急性脑卒中急性颈动脉夹层血管内治疗中的作用。材料和方法:从2015年1月至2023年1月的国家缺血性卒中血管内治疗登记中,我们纳入了接受血管内治疗的颈内动脉夹层继发性急性缺血性卒中患者。在3个月的随访中,我们比较了两种血管内入路治疗颈动脉夹层的临床和影像学结果:单独球囊血管成形术与支架植入术。结果:160例患者中,26例单独行球囊血管成形术,134例行颈动脉支架植入术。随访3个月时,改良Rankin量表(mRS)评分在各组间的分布无显著差异(p = 0.73)。此外,在24小时内,两组在颅内出血方面没有显著差异(单独血管成形术31% vs支架植入术45%;P = 0.202)、血管内手术后颈动脉立即通畅(38.5% vs 36%, P = 0.826)或24小时后通畅(50% vs 51%;p = 0.9),NIHSS评分(11±8∶11±9;P = 0.972)或新领地栓子(11.5% vs. 9%; = 0.713页)。结论:虽然很少进行球囊血管成形术,但单独球囊血管成形术的安全性和有效性与支架置入术相当,在某些病例中可能是一种有效的选择。然而,观察设计和小样本量值得谨慎,需要进一步的研究来证实这些发现。
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引用次数: 0
Design and optimization of an automatic deep learning-based cerebral reperfusion scoring (TICI) using thrombus localization 基于血栓定位的深度学习脑再灌注自动评分系统的设计与优化。
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-06-26 DOI: 10.1016/j.neurad.2025.101366
Arthur Folcher , Jérémy Piters , Daphné Wallach , Gwenael Guillard , Julien Ognard , Jean-Christophe Gentric

Background

The Thrombolysis in Cerebral Infarction (TICI) scale is widely used to assess angiographic outcomes of mechanical thrombectomy despite significant variability. Our objective was to create and optimize an artificial intelligence (AI)-based classification model for digital subtraction angiography (DSA) TICI scoring.

Methods

Using a monocentric DSA dataset of thrombectomies, and a platform for medical image analysis, independent readers labeled each series according to TICI score and marked each thrombus. A convolutional neural network (CNN) classification model was created to classify TICI scores, into 2 groups (TICI 0,1 or 2a versus TICI 2b, 2c or 3) and 3 groups (TICI 0,1 or 2a versus TICI 2b versus TICI 2c or 3). The algorithm was first tested alone, and then thrombi positions were introduced to the algorithm by manual placement firstly, then after using a thrombus detection module.

Results

A total of 422 patients were enrolled in the study. 2492 thrombi were annotated on the TICI-labeled series. The model trained on a total of 1609 DSA series. The classification model into two classes had a specificity of 0.97 ± 0.01 and a sensibility of 0.86 ± 0.01. The 3-class models showed insufficient performance, even when combined with the true thrombi positions, with, respectively, F1 scores for TICI 2b classification of 0.50 and 0.55 ± 0.07. The automatic thrombus detection module did not enhance the performance of the 3-class model, with a F1 score for the TICI 2b class measured at 0.50 ± 0.07.

Conclusion

The AI model provided a reproducible 2-class (TICI 0,1 or 2a versus 2b, 2c or 3) classification according to TICI scale. Its performance in distinguishing three classes (TICI 0,1 or 2a versus 2b versus 2c or 3) remains insufficient for clinical practice. Automatic thrombus detection did not improve the model's performance.
背景:尽管存在显著差异,但脑梗死溶栓(TICI)量表被广泛用于评估机械取栓的血管造影结果。我们的目标是创建和优化一个基于人工智能(AI)的分类模型,用于数字减影血管造影(DSA) TICI评分。方法:使用单中心取栓DSA数据集和医学图像分析平台,独立阅读器根据TICI评分对每个系列进行标记,并标记每个血栓。建立卷积神经网络(CNN)分类模型,将TICI评分分为2组(TICI 0、1或2a vs TICI 2b、2c或3)和3组(TICI 0、1或2a vs TICI 2b vs TICI 2c或3)。首先对该算法进行单独测试,然后首先通过人工放置将血栓位置引入算法,然后使用血栓检测模块。结果:共纳入422例患者。2492个血栓被标注在tici标记的系列中。该模型总共训练了1609个DSA序列。两类分类模型的特异性为0.97±0.01,敏感性为0.86±0.01。3类模型即使结合血栓的真实位置也表现不佳,TICI 2b的F1分分别为0.50和0.55±0.07。自动血栓检测模块并没有提高3级模型的性能,TICI 2b级的F1评分为0.50±0.07。结论:AI模型根据TICI量表提供了可重复的2级(TICI 0、1或2a与2b、2c或3)分类。其在区分三类(TICI 0,1或2a vs . 2b vs . 2c或3)方面的表现仍不足以用于临床实践。自动检测血栓并没有提高模型的性能。
{"title":"Design and optimization of an automatic deep learning-based cerebral reperfusion scoring (TICI) using thrombus localization","authors":"Arthur Folcher ,&nbsp;Jérémy Piters ,&nbsp;Daphné Wallach ,&nbsp;Gwenael Guillard ,&nbsp;Julien Ognard ,&nbsp;Jean-Christophe Gentric","doi":"10.1016/j.neurad.2025.101366","DOIUrl":"10.1016/j.neurad.2025.101366","url":null,"abstract":"<div><h3>Background</h3><div>The Thrombolysis in Cerebral Infarction (TICI) scale is widely used to assess angiographic outcomes of mechanical thrombectomy despite significant variability. Our objective was to create and optimize an artificial intelligence (AI)-based classification model for digital subtraction angiography (DSA) TICI scoring.</div></div><div><h3>Methods</h3><div>Using a monocentric DSA dataset of thrombectomies, and a platform for medical image analysis, independent readers labeled each series according to TICI score and marked each thrombus. A convolutional neural network (CNN) classification model was created to classify TICI scores, into 2 groups (TICI 0,1 or 2a versus TICI 2b, 2c or 3) and 3 groups (TICI 0,1 or 2a versus TICI 2b versus TICI 2c or 3). The algorithm was first tested alone, and then thrombi positions were introduced to the algorithm by manual placement firstly, then after using a thrombus detection module.</div></div><div><h3>Results</h3><div>A total of 422 patients were enrolled in the study. 2492 thrombi were annotated on the TICI-labeled series. The model trained on a total of 1609 DSA series. The classification model into two classes had a specificity of 0.97 ± 0.01 and a sensibility of 0.86 ± 0.01. The 3-class models showed insufficient performance, even when combined with the true thrombi positions, with, respectively, F1 scores for TICI 2b classification of 0.50 and 0.55 ± 0.07. The automatic thrombus detection module did not enhance the performance of the 3-class model, with a F1 score for the TICI 2b class measured at 0.50 ± 0.07.</div></div><div><h3>Conclusion</h3><div>The AI model provided a reproducible 2-class (TICI 0,1 or 2a versus 2b, 2c or 3) classification according to TICI scale. Its performance in distinguishing three classes (TICI 0,1 or 2a versus 2b versus 2c or 3) remains insufficient for clinical practice. Automatic thrombus detection did not improve the model's performance.</div></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"52 5","pages":"Article 101366"},"PeriodicalIF":3.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recent advances in sMRI and artificial intelligence for presurgical planning in focal cortical dysplasia: A systematic review sMRI和人工智能在局灶性皮质发育不良术前计划中的最新进展:系统综述。
IF 3 3区 医学 Q2 CLINICAL NEUROLOGY Pub Date : 2025-06-13 DOI: 10.1016/j.neurad.2025.101359
AmirHossein Mahmoudi , Arshia Alizadeh , Zohreh Ganji , Hoda Zare

Background

Focal Cortical Dysplasia (FCD) is a leading cause of drug-resistant epilepsy, particularly in children and young adults, necessitating precise presurgical planning. Traditional structural MRI often fails to detect subtle FCD lesions, especially in MRI-negative cases. Recent advancements in Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), have the potential to enhance FCD detection's sensitivity and specificity.

Methods

This systematic review, following PRISMA guidelines, searched PubMed, Embase, Scopus, Web of Science, and Science Direct for articles published from 2020 onwards, using keywords related to “Focal Cortical Dysplasia,” “MRI,” and “Artificial Intelligence/Machine Learning/Deep Learning.” Included were original studies employing AI and structural MRI (sMRI) for FCD detection in humans, reporting quantitative performance metrics, and published in English. Data extraction was performed independently by two reviewers, with discrepancies resolved by a third.

Results

The included studies demonstrated that AI significantly improved FCD detection, achieving sensitivity up to 97.1 % and specificities up to 84.3 % across various MRI sequences, including MPRAGE, MP2RAGE, and FLAIR. AI models, particularly deep learning models, matched or surpassed human radiologist performance, with combined AI-human expertise reaching up to 87 % detection rates. Among 88 full-text articles reviewed, 27 met inclusion criteria. The studies emphasized the importance of advanced MRI sequences and multimodal MRI for enhanced detection, though model performance varied with FCD type and training datasets.

Conclusion

Recent advances in sMRI and AI, especially deep learning, offer substantial potential to improve FCD detection, leading to better presurgical planning and patient outcomes in drug-resistant epilepsy. These methods enable faster, more accurate, and automated FCD detection, potentially enhancing surgical decision-making. Further clinical validation and optimization of AI algorithms across diverse datasets are essential for broader clinical translation.
背景:局灶性皮质发育不良(FCD)是导致耐药癫痫的主要原因,特别是在儿童和年轻人中,需要精确的术前计划。传统的结构MRI往往不能检测到细微的FCD病变,特别是在MRI阴性的病例中。人工智能(AI)的最新进展,特别是机器学习(ML)和深度学习(DL),有可能提高FCD检测的灵敏度和特异性。方法:本系统综述遵循PRISMA指南,检索PubMed、Embase、Scopus、Web of Science和Science Direct,检索2020年以后发表的文章,使用与“局灶性皮质发育不良”、“MRI”和“人工智能/机器学习/深度学习”相关的关键词。纳入了使用人工智能和结构MRI (sMRI)检测人类FCD的原始研究,报告了定量绩效指标,并以英文发表。数据提取由两位审稿人独立完成,差异由第三位审稿人解决。结果:纳入的研究表明,人工智能显著改善了FCD检测,在各种MRI序列中,包括MPRAGE、MP2RAGE和FLAIR,灵敏度高达97.1%,特异性高达84.3%。人工智能模型,特别是深度学习模型,匹配或超过了人类放射科医生的表现,人工智能和人类专业知识的结合达到了87%的检测率。在88篇全文文章中,27篇符合纳入标准。这些研究强调了先进的MRI序列和多模态MRI对增强检测的重要性,尽管模型性能因FCD类型和训练数据集而异。结论:sMRI和人工智能的最新进展,特别是深度学习,为改善FCD检测提供了巨大的潜力,从而改善了耐药癫痫的术前计划和患者预后。这些方法能够更快、更准确、更自动化地检测FCD,潜在地提高手术决策。进一步的临床验证和优化不同数据集的人工智能算法对于更广泛的临床翻译至关重要。
{"title":"Recent advances in sMRI and artificial intelligence for presurgical planning in focal cortical dysplasia: A systematic review","authors":"AmirHossein Mahmoudi ,&nbsp;Arshia Alizadeh ,&nbsp;Zohreh Ganji ,&nbsp;Hoda Zare","doi":"10.1016/j.neurad.2025.101359","DOIUrl":"10.1016/j.neurad.2025.101359","url":null,"abstract":"<div><h3>Background</h3><div>Focal Cortical Dysplasia (FCD) is a leading cause of drug-resistant epilepsy, particularly in children and young adults, necessitating precise presurgical planning. Traditional structural MRI often fails to detect subtle FCD lesions, especially in MRI-negative cases. Recent advancements in Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), have the potential to enhance FCD detection's sensitivity and specificity.</div></div><div><h3>Methods</h3><div>This systematic review, following PRISMA guidelines, searched PubMed, Embase, Scopus, Web of Science, and Science Direct for articles published from 2020 onwards, using keywords related to “Focal Cortical Dysplasia,” “MRI,” and “Artificial Intelligence/Machine Learning/Deep Learning.” Included were original studies employing AI and structural MRI (sMRI) for FCD detection in humans, reporting quantitative performance metrics, and published in English. Data extraction was performed independently by two reviewers, with discrepancies resolved by a third.</div></div><div><h3>Results</h3><div>The included studies demonstrated that AI significantly improved FCD detection, achieving sensitivity up to 97.1 % and specificities up to 84.3 % across various MRI sequences, including MPRAGE, MP2RAGE, and FLAIR. AI models, particularly deep learning models, matched or surpassed human radiologist performance, with combined AI-human expertise reaching up to 87 % detection rates. Among 88 full-text articles reviewed, 27 met inclusion criteria. The studies emphasized the importance of advanced MRI sequences and multimodal MRI for enhanced detection, though model performance varied with FCD type and training datasets.</div></div><div><h3>Conclusion</h3><div>Recent advances in sMRI and AI, especially deep learning, offer substantial potential to improve FCD detection, leading to better presurgical planning and patient outcomes in drug-resistant epilepsy. These methods enable faster, more accurate, and automated FCD detection, potentially enhancing surgical decision-making. Further clinical validation and optimization of AI algorithms across diverse datasets are essential for broader clinical translation.</div></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"52 5","pages":"Article 101359"},"PeriodicalIF":3.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Journal of Neuroradiology
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