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A Heroine's Story. 一个女英雄的故事。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-16 DOI: 10.1212/WNL.0000000000214567
Ludwig Gutmann
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引用次数: 0
Association of Plasma GFAP and NfL in Middle-Aged Adults With MRI Markers of Cerebral Small Vessel Disease Later in Life. 中年人血浆GFAP和NfL与晚年脑血管疾病MRI标志物的关系
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-29 DOI: 10.1212/WNL.0000000000214481
Savvina Prapiadou, Benjamin Y Q Tan, Tamara N Kimball, Samantha Mora, Reinier W P Tack, Devanshi Choksi, Marie-Gabrielle Duperron, Jasper R Senff, Evy M Reinders, Christina Kourkoulis, Sanjula Dhillon Singh, Nirupama Yechoor, Jonathan Rosand, Christopher D Anderson

Background and objectives: Cerebral small vessel disease (cSVD) is a major contributor to stroke and dementia, often beginning decades before clinical symptoms appear. While MRI markers offer critical insight into cSVD burden, blood-based biomarkers may offer a more accessible complement to neuroimaging. We investigated whether plasma glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) are associated with MRI markers of cSVD in middle-aged adults and whether they are associated with longitudinal progression.

Methods: We conducted a retrospective analysis of prospectively collected data from the UK Biobank cohort. Participants aged 40-60 years at baseline (2006-2010) with plasma biomarker measurements and follow-up MRI scans (2014-2019) were included. Individuals with prevalent neurologic conditions were excluded. We assessed 3 MRI markers of cSVD: white matter hyperintensities (WMHs), fractional anisotropy (FA), and mean diffusivity (MD). Three analytical approaches were used: associations between baseline biomarkers and future MRI markers, associations between baseline biomarkers and longitudinal MRI changes, and correlations between longitudinal biomarker and MRI changes. Robust regression models were adjusted for age, sex, and cerebrovascular risk factors.

Results: Among 5,270 participants (mean age 54.2 ± 7.8 years; 53.4% female), higher baseline GFAP levels were significantly associated with all 3 MRI cSVD markers-WMH volume (β = 0.06, 95% CI 0.01-0.10, p = 0.014), FA (β = 0.08, 95% CI 0.03-0.13, p = 0.001), and MD (β = 0.14, 95% CI 0.09-0.18, p < 0.001)-after a follow-up of 9 years. Among 1,317 participants with longitudinal MRI data, baseline GFAP was associated with progression of FA (β = 0.012, 95% CI 0.001-0.023, p = 0.033) and MD (β = 0.020, 95% CI 0.003-0.038, p = 0.025) over 3 years. NfL was not significantly associated with any MRI cSVD marker. Longitudinal changes in both biomarkers showed no significant associations with concurrent MRI progression.

Discussion: Plasma GFAP levels were associated with subsequent changes in white matter integrity among middle-aged adults, suggesting potential utility as an early indicator of cSVD vulnerability. These associations, observed nearly a decade after biomarker measurement, highlight GFAP's potential for long-term risk stratification. Blood-based biomarkers may support earlier identification of individuals at heightened risk of cSVD, enabling preventive strategies when interventions may be most effective.

背景和目的:脑血管病(cSVD)是卒中和痴呆的主要诱因,通常在临床症状出现前几十年就开始了。虽然MRI标记物提供了对心血管疾病负担的关键洞察,但基于血液的生物标记物可能为神经成像提供更容易获得的补充。我们研究了血浆胶质纤维酸性蛋白(GFAP)和神经丝轻链(NfL)是否与中年人cSVD的MRI标志物相关,以及它们是否与纵向进展相关。方法:我们对英国生物银行队列前瞻性收集的数据进行了回顾性分析。在基线(2006-2010)时年龄在40-60岁之间的参与者进行了血浆生物标志物测量和随访MRI扫描(2014-2019)。排除有普遍神经系统疾病的个体。我们评估了cSVD的3个MRI标记:白质高强度(WMHs)、分数各向异性(FA)和平均扩散率(MD)。使用了三种分析方法:基线生物标志物与未来MRI标志物之间的相关性,基线生物标志物与纵向MRI变化之间的相关性,以及纵向生物标志物与MRI变化之间的相关性。稳健回归模型对年龄、性别和脑血管危险因素进行了调整。结果:在5270名参与者(平均年龄54.2±7.8岁,53.4%为女性)中,较高的基线GFAP水平与所有3种MRI cSVD标志物- wmh体积(β = 0.06, 95% CI 0.01-0.10, p = 0.014), FA (β = 0.08, 95% CI 0.03-0.13, p = 0.001)和MD (β = 0.14, 95% CI 0.09-0.18, p < 0.001)-在随访9年后显著相关。在1317名有纵向MRI数据的参与者中,基线GFAP与3年内FA (β = 0.012, 95% CI 0.001-0.023, p = 0.033)和MD (β = 0.020, 95% CI 0.003-0.038, p = 0.025)的进展相关。NfL与任何MRI cSVD标志物均无显著相关性。两种生物标志物的纵向变化显示与并发MRI进展无显著关联。讨论:血浆GFAP水平与中年人随后的白质完整性变化相关,提示其作为心血管疾病易感性的早期指标的潜在效用。这些关联是在生物标志物测量近十年后观察到的,突出了GFAP长期风险分层的潜力。基于血液的生物标志物可能支持早期识别心血管疾病高风险个体,在干预措施最有效时实施预防策略。
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引用次数: 0
Navigating the Storm-A New Horizon: An Updated Guide for Managing Antiseizure Medications During Pregnancy and the Postpartum Period. 在风暴中航行-一个新的视野:在怀孕和产后期间管理抗癫痫药物的最新指南。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-29 DOI: 10.1212/WNL.0000000000214585
Sarita Maturu, Lucretia Long
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引用次数: 0
Temporal Dynamics and Cross-Sectional and Longitudinal Factors Associated With Motor Reserve and Outcome in Patients With Parkinson Disease. 与帕金森病患者运动储备和预后相关的时间动力学、横截面和纵向因素。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-26 DOI: 10.1212/WNL.0000000000214475
Kazuto Tsukita, Akihiro Kikuya, Kenji Yoshimura, Etsuro Nakanishi, Riki Matsumoto, Ryosuke Takahashi

Background and objectives: "Motor reserve" refers to the brain's dynamic resilience against dopaminergic degeneration in Parkinson disease (PD). However, its clinical significance remains unclear because of critical limitations, including the lack of data on its longitudinal trajectories. Using Parkinson's Progression Markers Initiative data with serial dopamine transporter (DAT) imaging from the drug-naive stage, we investigated its trajectories, determinants, and prognostic implications.

Methods: This retrospective observational cohort study assessed motor reserve using 2 complementary approaches. The residual-based approach calculated deviations in Movement Disorders Society-sponsored Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part 3 scores from expected values derived from a linear regression model incorporating putamen DAT specific binding ratio (putamen SBR), age, sex, and disease duration. The interaction-based approach extended this model by introducing interaction terms between putamen SBR and each factor, analyzing the corresponding β coefficients. We examined motor reserve's cross-sectional associations with clinical parameters, its mediation effects, and its longitudinal trajectories-up to 4 years-based on DAT imaging data availability, while identifying factors influencing its changes. Finally, we assessed its impact on long-term prognosis using Cox proportional hazards and linear mixed-effects models (LMEMs).

Results: We included 566 drug-naive patients with PD (median age 62.3 [interquartile range 56.3-69.6] years; 33.7% female). At baseline, regular physical activity was significantly associated with motor reserve in both approaches, with mediation analysis indicating that motor reserve largely mediated the effect of physical activity on motor symptom improvement. Longitudinally, adequate medication and sustained regular physical activity levels were strongly associated with a slower early-years decline in motor reserve. It is important to note that early-years average motor reserve, not the baseline value, was a strong predictor of long-term motor outcomes (Cox: Hoehn/Yahr stage 3, hazard ratio = 0.50, 95% CI 0.37-0.66; LMEMs: MDS-UPDRS Part 3 score, fixed-effects standardized interaction coefficient = -0.57, 95% CI -0.79 to -0.35). These findings were further validated through propensity score matching.

Discussion: Maintaining motor reserve in the early years after diagnosis strongly predicts favorable long-term motor outcomes, with adequate treatment and regular physical activity-both modifiable factors-supporting this maintenance. Because our study includes early-stage, drug-naive PD, further research in later stages is warranted.

Trial registration information: ClinicalTrials.gov (NCT01141023). A link to the trial registry page is clinicaltrials.gov/ct2/show/NCT01141023.

背景与目的:“运动储备”是指帕金森病(PD)患者大脑对多巴胺能变性的动态恢复能力。然而,由于严重的局限性,包括缺乏其纵向轨迹的数据,其临床意义仍不清楚。利用帕金森病进展标志物倡议数据和药物初始期的连续多巴胺转运蛋白(DAT)成像,我们研究了其轨迹、决定因素和预后意义。方法:本回顾性观察队列研究采用两种互补方法评估运动储备。基于残差的方法计算了运动障碍协会赞助的统一帕金森病评定量表(MDS-UPDRS)第3部分评分的偏差,该评分来自包含壳核DAT特异性结合比(壳核SBR)、年龄、性别和疾病持续时间的线性回归模型的期望值。基于相互作用的方法通过引入壳核SBR与各因子之间的相互作用项,分析相应的β系数,扩展了该模型。我们研究了运动储备与临床参数的横断面关联,其中介作用,以及基于数据成像数据的长达4年的纵向轨迹,同时确定了影响其变化的因素。最后,我们使用Cox比例风险和线性混合效应模型(LMEMs)评估其对长期预后的影响。结果:我们纳入了566例未经药物治疗的PD患者(中位年龄62.3岁[四分位数间距56.3-69.6]岁;33.7%为女性)。基线时,在两种方法中,规律的体育活动与运动储备显著相关,中介分析表明运动储备在很大程度上介导了体育活动对运动症状改善的影响。纵向上,适当的药物治疗和持续规律的身体活动水平与早期运动储备的缓慢下降密切相关。值得注意的是,早期平均运动储备,而不是基线值,是长期运动预后的有力预测因子(Cox: Hoehn/Yahr阶段3,风险比= 0.50,95% CI 0.37-0.66; LMEMs: MDS-UPDRS第3部分评分,固定效应标准化相互作用系数= -0.57,95% CI -0.79至-0.35)。通过倾向评分匹配进一步验证了这些发现。讨论:在诊断后的最初几年保持运动储备强烈预示着良好的长期运动预后,适当的治疗和定期的体育活动-这两个可改变的因素-支持这种维持。由于我们的研究包括早期,药物初始PD,在后期的进一步研究是必要的。试验注册信息:ClinicalTrials.gov (NCT01141023)。到试用注册页面的链接是clinicaltrials.gov/ct2/show/NCT01141023。
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引用次数: 0
Integrating Intracranial EEG and Tractography: The Way to Know How Regions Communicate to Perform Cognitive Functions. 整合颅内脑电图和神经束造影:了解脑区如何沟通以执行认知功能的方法。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-26 DOI: 10.1212/WNL.0000000000214582
Jean Gotman
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引用次数: 0
NF1-Specific Growth Charts for Head Circumference Over the First 3 Years of Life. 头3年头围的nf1特异性生长图。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-30 DOI: 10.1212/WNL.0000000000214480
Ayan S Mandal, Russell T Shinohara, Benjamin Jung, Margaret Gardner, Habib Elias Akouri, Benjamin E Yerys, Karen J Low, Tim J Cole, Whitney Guthrie, Kelly M Janke, John D Herrington, Matthew C Hocking, Gareth Ball, Jonathan M Payne, Kathryn N North, Nils Muhlert, Shruti Garg, Jakob Seidlitz, Michael J Fisher, Aaron F Alexander-Bloch

Background and objectives: Macrocephaly is among the most common findings in neurofibromatosis type 1 (NF1) and may be associated with other clinical manifestations of the genetic syndrome. NF1-specific growth charts that account for expected macrocephaly may increase sensitivity for detecting atypical growth. We aimed to produce NF1-specific growth charts of head circumference for the age range of 0-3 years and to assess their potential clinical impact.

Methods: Using electronic health records from the Children's Hospital of Philadelphia, we collected head circumference measurements from children with NF1 and a community control cohort seen at scheduled well-child visits. We compared head circumference normalized using Centers for Disease Control (CDC) growth charts between these groups over time. We constructed NF1-specific growth charts using 2 independent methods. Finally, we used mixed-effects models to relate the resulting centile scores to developmental delay assessed with the Survey of Well-being of Young Children.

Results: Our data set contained 2,180 observations from 305 individuals (167 male) with NF1 and 104,750 observations from 16,742 individuals (8,809 male) in the community control cohort, all aged 0-3 years. Head circumference was significantly elevated in the NF1 cohort across the age range (p-adjusted <0.05), but the Cohen effect size d varied nonlinearly with age, starting moderate at 1 month (d = 0.56), then small at 4 months (d = 0.28), moderate again at 15 months (d = 0.58), and finally large at 28 months (d = 0.80). NF1-specific growth curves demonstrated slower increases in head circumference in the first 2 months of life, yet more sustained growth over time. Although none of the children with NF1 met the standard for microcephaly according to CDC charts, smaller head circumference benchmarked against NF1-specific charts was correlated with developmental delay (standardized β = 0.24; p < 0.02).

Discussion: We present the first NF1-specific growth charts for head circumference covering the age range of 0-3 years. Macrocephaly in NF1 becomes more exaggerated over time as rate of growth is sustained compared with controls. Smaller head size relative to NF1 growth expectations is not captured by CDC charts yet it nevertheless relates to developmental delay, suggesting that NF1-specific charts may increase sensitivity to clinically concerning patterns of growth in children with NF1.

背景和目的:大头畸形是1型神经纤维瘤病(NF1)中最常见的发现之一,可能与遗传综合征的其他临床表现有关。nf1特异性生长图说明预期的大头畸形可能增加检测非典型生长的敏感性。我们的目的是制作0-3岁年龄组的nf1特异性头围生长图,并评估其潜在的临床影响。方法:使用来自费城儿童医院的电子健康记录,我们收集了NF1儿童和社区对照队列在定期儿童就诊时的头围测量值。我们使用疾病控制中心(CDC)的生长图表比较了这些组间随时间的头围标准化。我们使用两种独立的方法构建了nf1特异性生长图。最后,我们使用混合效应模型将百分位分数与幼儿福祉调查评估的发育迟缓联系起来。结果:我们的数据集包含来自305名NF1患者(167名男性)的2180项观察结果,以及来自社区对照队列中16742名患者(8809名男性)的104750项观察结果,这些患者的年龄均为0-3岁。NF1患者的头围在整个年龄范围内均显著升高(p-adjusted d随年龄非线性变化),在1个月时开始中度(d = 0.56),然后在4个月时减小(d = 0.28),在15个月时再次中度(d = 0.58),最后在28个月时增大(d = 0.80)。nf1特异性生长曲线显示头围在出生后的前2个月增长缓慢,但随着时间的推移增长更加持续。虽然根据CDC图表,没有一个患有NF1的儿童符合小头畸形的标准,但以NF1特异性图表为基准的较小的头围与发育迟缓相关(标准化β = 0.24; p < 0.02)。讨论:我们提出了第一个nf1特定的头围生长图表,涵盖0-3岁的年龄范围。随着时间的推移,与对照组相比,NF1的大头畸形随着生长速度的持续而变得更加夸张。相对于NF1生长预期,较小的头部尺寸并未被CDC图表所捕获,但它与发育延迟有关,这表明NF1特异性图表可能会增加NF1儿童临床有关生长模式的敏感性。
{"title":"NF1-Specific Growth Charts for Head Circumference Over the First 3 Years of Life.","authors":"Ayan S Mandal, Russell T Shinohara, Benjamin Jung, Margaret Gardner, Habib Elias Akouri, Benjamin E Yerys, Karen J Low, Tim J Cole, Whitney Guthrie, Kelly M Janke, John D Herrington, Matthew C Hocking, Gareth Ball, Jonathan M Payne, Kathryn N North, Nils Muhlert, Shruti Garg, Jakob Seidlitz, Michael J Fisher, Aaron F Alexander-Bloch","doi":"10.1212/WNL.0000000000214480","DOIUrl":"10.1212/WNL.0000000000214480","url":null,"abstract":"<p><strong>Background and objectives: </strong>Macrocephaly is among the most common findings in neurofibromatosis type 1 (NF1) and may be associated with other clinical manifestations of the genetic syndrome. NF1-specific growth charts that account for expected macrocephaly may increase sensitivity for detecting atypical growth. We aimed to produce NF1-specific growth charts of head circumference for the age range of 0-3 years and to assess their potential clinical impact.</p><p><strong>Methods: </strong>Using electronic health records from the Children's Hospital of Philadelphia, we collected head circumference measurements from children with NF1 and a community control cohort seen at scheduled well-child visits. We compared head circumference normalized using Centers for Disease Control (CDC) growth charts between these groups over time. We constructed NF1-specific growth charts using 2 independent methods. Finally, we used mixed-effects models to relate the resulting centile scores to developmental delay assessed with the Survey of Well-being of Young Children.</p><p><strong>Results: </strong>Our data set contained 2,180 observations from 305 individuals (167 male) with NF1 and 104,750 observations from 16,742 individuals (8,809 male) in the community control cohort, all aged 0-3 years. Head circumference was significantly elevated in the NF1 cohort across the age range (<i>p</i>-adjusted <0.05), but the Cohen effect size <i>d</i> varied nonlinearly with age, starting moderate at 1 month (<i>d</i> = 0.56), then small at 4 months (<i>d</i> = 0.28), moderate again at 15 months (<i>d</i> = 0.58), and finally large at 28 months (<i>d</i> = 0.80). NF1-specific growth curves demonstrated slower increases in head circumference in the first 2 months of life, yet more sustained growth over time. Although none of the children with NF1 met the standard for microcephaly according to CDC charts, smaller head circumference benchmarked against NF1-specific charts was correlated with developmental delay (standardized β = 0.24; <i>p</i> < 0.02).</p><p><strong>Discussion: </strong>We present the first NF1-specific growth charts for head circumference covering the age range of 0-3 years. Macrocephaly in NF1 becomes more exaggerated over time as rate of growth is sustained compared with controls. Smaller head size relative to NF1 growth expectations is not captured by CDC charts yet it nevertheless relates to developmental delay, suggesting that NF1-specific charts may increase sensitivity to clinically concerning patterns of growth in children with NF1.</p>","PeriodicalId":19256,"journal":{"name":"Neurology","volume":"106 2","pages":"e214480"},"PeriodicalIF":8.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12778977/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145864208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Revisiting the Optimal Apparent Diffusion Coefficient Threshold for Ischemic Core Delineation. 重新探讨脑缺血核心圈定的最佳表观扩散系数阈值。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-26 DOI: 10.1212/WNL.0000000000214451
Clara Cohen, Clément Debacker, Alice Le Berre, Wagih Ben Hassen, Catherine Oppenheim, Jean-Claude Baron, Joseph Benzakoun
<p><strong>Background and objectives: </strong>The widely used apparent diffusion coefficient (ADC) threshold of 620 × 10<sup>-6</sup> mm<sup>2</sup>/s to automatically delineate the ischemic core on diffusion-weighted imaging (DWI) was established in recanalized patients after IV thrombolysis. However, recanalization was assessed 3-6 hours after treatment, which may entail substantial core growth and in turn ADC threshold overestimation, while follow-up imaging was performed at day 30, implying potential infarct shrinkage. Other studies typically used follow-up MRI scans on days 2-5 but did not correct for vasogenic edema, implying potential infarct overestimation. We re-evaluated the ADC threshold in patients with very early recanalization after endovascular therapy (EVT), using 24-hour follow-up MRI and applying edema correction (EC).</p><p><strong>Methods: </strong>Consecutive patients with modified Treatment In Cerebral Infarction 2c-3 recanalization within 90 minutes after baseline MRI and who underwent follow-up MRI ≈24 hours were identified from our center's EVT registry (2012-2021). Basilar occlusions and small DWI lesions (<3 mL) were excluded. The baseline ischemic lesion and the final infarct (Infarct<sub>24h</sub>) were manually delineated on initial DWI (DWI<sub>0</sub>) and 24-hour DWI. EC was performed by applying nonlinear coregistration of follow-up MRI onto MRI<sub>0</sub>. The intersection between DWI<sub>0</sub> and Infarct<sub>24h</sub> was overlaid onto the baseline ADC map. A receiver operating characteristic analysis compared "core" with "noncore" voxels (obtained by varying the ADC threshold) across patients, and the Youden index was computed to determine the optimized ADC threshold (OptADC) without and with EC.</p><p><strong>Results: </strong>Among 1,024 patients, 56 were eligible and included (median age 73 years; 52% female; median [interquartile range (IQR)] NIH Stroke Scale score 12 [8-19], median MRI<sub>0</sub>-to-recanalization delay 70.5 [52-81] minutes). The OptADC was 611 × 10<sup>-6</sup> mm<sup>2</sup>/s (area under the curve = 0.704; sensitivity = 61.6%; specificity = 70.4%; Youden index = 0.320) and 612 × 10<sup>-6</sup> mm<sup>2</sup>/s without and with EC, respectively. The median (IQR) individual-OptADC was 621.5 (585.5-672.8) × 10<sup>-6</sup> mm<sup>2</sup>/s. The baseline core volume was significantly (<i>p</i> < 0.001), but only marginally, smaller using the optimized vs the reference ADC threshold (16.4 ± 25 mL and 17.0 ± 26 mL, respectively; volume difference larger than 3 mL in 1 patient only).</p><p><strong>Discussion: </strong>We revisited the ADC core threshold using a stringent methodology, including EVT-induced ultra-early documented complete recanalization, ≈24-hour follow-up MRI, and EC. The resulting OptADC was marginally smaller than the reference threshold and, accordingly, modestly influenced the measured baseline core volume. The methodological refinements implemented here, including
背景与目的:在静脉溶栓后再通患者的弥散加权成像(DWI)上建立了广泛使用的表观弥散系数(ADC)阈值620 × 10-6 mm2/s来自动划定缺血核心。然而,在治疗后3-6小时评估再通,这可能需要大量的核心生长,进而导致ADC阈值高估,而在第30天进行随访成像,暗示潜在的梗死缩小。其他研究通常在2-5天进行随访MRI扫描,但没有纠正血管源性水肿,这意味着潜在的梗死高估。我们重新评估了血管内治疗(EVT)后早期再通患者的ADC阈值,使用24小时随访MRI并应用水肿矫正(EC)。方法:在基线MRI后90分钟内连续接受改良治疗的脑梗死2c-3再通患者,并接受随访MRI≈24小时,从我们中心的EVT登记(2012-2021)中确定。在初始DWI (DWI0)和24小时DWI上手动划定基底动脉闭塞和小DWI病变(24小时)。将随访MRI的非线性共配准应用于MRI0进行EC。DWI0和梗死24小时的交点叠加在基线ADC图上。通过对患者的“核心”和“非核心”体素(通过改变ADC阈值获得)进行受试者工作特征分析,并计算约登指数以确定无EC和有EC的优化ADC阈值(OptADC)。结果:在1,024例患者中,56例符合条件并纳入研究(中位年龄73岁;52%为女性;中位[四分位间距(IQR)] NIH卒中量表评分12[8-19],中位mri至再通延迟70.5[52-81]分钟)。无EC和有EC的optdac分别为611 × 10-6 mm2/s(曲线下面积= 0.704,灵敏度= 61.6%,特异性= 70.4%,约登指数= 0.320)和612 × 10-6 mm2/s。个体- optdac的中位数(IQR)为621.5 (585.5-672.8)× 10-6 mm2/s。使用优化的ADC阈值与参考ADC阈值相比,基线核心体积显著(p < 0.001),但仅略小(分别为16.4±25 mL和17.0±26 mL;仅1例患者的体积差异大于3 mL)。讨论:我们使用严格的方法重新审视了ADC核心阈值,包括evt诱导的超早期记录的完全再通,≈24小时随访MRI和EC。由此产生的OptADC比参考阈值略小,因此对测量的基线岩心体积有轻微影响。这里实现的方法改进,包括EC,似乎对未来探索核心ADC的研究至关重要。
{"title":"Revisiting the Optimal Apparent Diffusion Coefficient Threshold for Ischemic Core Delineation.","authors":"Clara Cohen, Clément Debacker, Alice Le Berre, Wagih Ben Hassen, Catherine Oppenheim, Jean-Claude Baron, Joseph Benzakoun","doi":"10.1212/WNL.0000000000214451","DOIUrl":"https://doi.org/10.1212/WNL.0000000000214451","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background and objectives: &lt;/strong&gt;The widely used apparent diffusion coefficient (ADC) threshold of 620 × 10&lt;sup&gt;-6&lt;/sup&gt; mm&lt;sup&gt;2&lt;/sup&gt;/s to automatically delineate the ischemic core on diffusion-weighted imaging (DWI) was established in recanalized patients after IV thrombolysis. However, recanalization was assessed 3-6 hours after treatment, which may entail substantial core growth and in turn ADC threshold overestimation, while follow-up imaging was performed at day 30, implying potential infarct shrinkage. Other studies typically used follow-up MRI scans on days 2-5 but did not correct for vasogenic edema, implying potential infarct overestimation. We re-evaluated the ADC threshold in patients with very early recanalization after endovascular therapy (EVT), using 24-hour follow-up MRI and applying edema correction (EC).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Consecutive patients with modified Treatment In Cerebral Infarction 2c-3 recanalization within 90 minutes after baseline MRI and who underwent follow-up MRI ≈24 hours were identified from our center's EVT registry (2012-2021). Basilar occlusions and small DWI lesions (&lt;3 mL) were excluded. The baseline ischemic lesion and the final infarct (Infarct&lt;sub&gt;24h&lt;/sub&gt;) were manually delineated on initial DWI (DWI&lt;sub&gt;0&lt;/sub&gt;) and 24-hour DWI. EC was performed by applying nonlinear coregistration of follow-up MRI onto MRI&lt;sub&gt;0&lt;/sub&gt;. The intersection between DWI&lt;sub&gt;0&lt;/sub&gt; and Infarct&lt;sub&gt;24h&lt;/sub&gt; was overlaid onto the baseline ADC map. A receiver operating characteristic analysis compared \"core\" with \"noncore\" voxels (obtained by varying the ADC threshold) across patients, and the Youden index was computed to determine the optimized ADC threshold (OptADC) without and with EC.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Among 1,024 patients, 56 were eligible and included (median age 73 years; 52% female; median [interquartile range (IQR)] NIH Stroke Scale score 12 [8-19], median MRI&lt;sub&gt;0&lt;/sub&gt;-to-recanalization delay 70.5 [52-81] minutes). The OptADC was 611 × 10&lt;sup&gt;-6&lt;/sup&gt; mm&lt;sup&gt;2&lt;/sup&gt;/s (area under the curve = 0.704; sensitivity = 61.6%; specificity = 70.4%; Youden index = 0.320) and 612 × 10&lt;sup&gt;-6&lt;/sup&gt; mm&lt;sup&gt;2&lt;/sup&gt;/s without and with EC, respectively. The median (IQR) individual-OptADC was 621.5 (585.5-672.8) × 10&lt;sup&gt;-6&lt;/sup&gt; mm&lt;sup&gt;2&lt;/sup&gt;/s. The baseline core volume was significantly (&lt;i&gt;p&lt;/i&gt; &lt; 0.001), but only marginally, smaller using the optimized vs the reference ADC threshold (16.4 ± 25 mL and 17.0 ± 26 mL, respectively; volume difference larger than 3 mL in 1 patient only).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Discussion: &lt;/strong&gt;We revisited the ADC core threshold using a stringent methodology, including EVT-induced ultra-early documented complete recanalization, ≈24-hour follow-up MRI, and EC. The resulting OptADC was marginally smaller than the reference threshold and, accordingly, modestly influenced the measured baseline core volume. The methodological refinements implemented here, including ","PeriodicalId":19256,"journal":{"name":"Neurology","volume":"106 2","pages":"e214451"},"PeriodicalIF":8.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145843838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Keeping Time With the 24-Hour Brain: What Rest-Activity Rhythms Reveal About Dementia Risk. 与24小时大脑保持同步:休息活动节律揭示痴呆风险。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-29 DOI: 10.1212/WNL.0000000000214599
Yi Fang, Yue Leng
{"title":"Keeping Time With the 24-Hour Brain: What Rest-Activity Rhythms Reveal About Dementia Risk.","authors":"Yi Fang, Yue Leng","doi":"10.1212/WNL.0000000000214599","DOIUrl":"https://doi.org/10.1212/WNL.0000000000214599","url":null,"abstract":"","PeriodicalId":19256,"journal":{"name":"Neurology","volume":"106 2","pages":"e214599"},"PeriodicalIF":8.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145857379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury. 预测严重创伤性脑损伤患者停止生命维持治疗的机器学习模型。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-19 DOI: 10.1212/WNL.0000000000214588
Michael Cobler-Lichter, Jessica M Delamater, Fernanda J P Teixeira, Ana M Reyes, Talia R Arcieri, Brian Manolovitz, John A McKeown, Tulay Koru-Sengul, Jonathan Jagid, Joacir Graciolli Cordeiro, Nina Massad, Mohan Kottapally, Amedeo Merenda, Kristine O'Phelan, Nicholas Namias, Ayham Alkhachroum
{"title":"Machine Learning Models to Predict Withdrawal of Life-Sustaining Therapy in Patients With Severe Traumatic Brain Injury.","authors":"Michael Cobler-Lichter, Jessica M Delamater, Fernanda J P Teixeira, Ana M Reyes, Talia R Arcieri, Brian Manolovitz, John A McKeown, Tulay Koru-Sengul, Jonathan Jagid, Joacir Graciolli Cordeiro, Nina Massad, Mohan Kottapally, Amedeo Merenda, Kristine O'Phelan, Nicholas Namias, Ayham Alkhachroum","doi":"10.1212/WNL.0000000000214588","DOIUrl":"https://doi.org/10.1212/WNL.0000000000214588","url":null,"abstract":"","PeriodicalId":19256,"journal":{"name":"Neurology","volume":"106 2","pages":"e214588"},"PeriodicalIF":8.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145794494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
One Battle After Another: Managing Tandem Lesions in Acute Stroke. 一场接一场的战斗:处理急性中风的串联病变。
IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY Pub Date : 2026-01-27 Epub Date: 2025-12-26 DOI: 10.1212/WNL.0000000000214600
Nadja Korajkic, Vincent N Thijs
{"title":"One Battle After Another: Managing Tandem Lesions in Acute Stroke.","authors":"Nadja Korajkic, Vincent N Thijs","doi":"10.1212/WNL.0000000000214600","DOIUrl":"https://doi.org/10.1212/WNL.0000000000214600","url":null,"abstract":"","PeriodicalId":19256,"journal":{"name":"Neurology","volume":"106 2","pages":"e214600"},"PeriodicalIF":8.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145843868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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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Neurology
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