Y. Ota, E. Liao, A. A. Capizzano, et al., “Intracranial Paragangliomas Versus Schwannomas: Role of Dynamic Susceptibility Contrast Perfusion and Diffusion MRI,” Journal of Neuroimaging 32, no. 5 (2022): 875-883, https://doi.org/10.1111/jon.13002.
The above article, published online on 12 May 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Rohit Bakshi; American Society of Neuroimaging; and John Wiley & Sons, Inc. The retraction has been agreed upon following an investigation conducted by the University of Michigan. The investigation determined that the patient inclusion and exclusion criteria described in the article were not followed during the study. Duplication and reuse of data from three individual patients were also identified. The authors stated that the study variables were unaffected by the conditions outlined in the exclusion criteria. However, as the first author left the institute and was unresponsive, the co-authors and the journal could not obtain original data for further investigation or verification of the results. As a result, the editors consider the study's results and conclusions unreliable. The authors, E. Liao, A. A. Capizzano, A. Baba, R. Kurokawa, M. Kurokawa, and A. Srinivasan agree to the retraction. Acknowledgement of the retraction could not be obtained from Y. Ota.
廖晓明，张晓明，张晓明，等，“颅内副神经节瘤与神经鞘瘤：MRI动态敏感性对比灌注和扩散的作用”，中国神经影像杂志，第32期。5 (2022): 875-883, https://doi.org/10.1111/jon.13002.The上述文章于2022年5月12日在线发表在Wiley在线图书馆（wileyonlinelibrary.com）上，经期刊主编Rohit Bakshi同意撤回；美国神经影像学学会；John Wiley &; Sons, Inc。在密歇根大学进行调查后，双方同意撤回这篇论文。调查确定在研究中没有遵循文章中描述的患者纳入和排除标准。还发现了三名患者的重复和重复使用数据。作者指出，研究变量不受排除标准中概述的条件的影响。然而，由于第一作者离开了研究所，没有回应，共同作者和期刊无法获得原始数据，无法进一步调查或验证结果。因此，编辑们认为该研究的结果和结论不可靠。作者E. Liao， A. A. Capizzano， A. Baba， R. Kurokawa， M. Kurokawa和A. Srinivasan同意撤稿。未能从Y. Ota处获得撤稿的确认。
{"title":"RETRACTION: Intracranial Paragangliomas Versus Schwannomas: Role of Dynamic Susceptibility Contrast Perfusion and Diffusion MRI","authors":"","doi":"10.1111/jon.70125","DOIUrl":"10.1111/jon.70125","url":null,"abstract":"<p>Y. Ota, E. Liao, A. A. Capizzano, et al., “Intracranial Paragangliomas Versus Schwannomas: Role of Dynamic Susceptibility Contrast Perfusion and Diffusion MRI,” <i>Journal of Neuroimaging</i> 32, no. 5 (2022): 875-883, https://doi.org/10.1111/jon.13002.</p><p>The above article, published online on 12 May 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Rohit Bakshi; American Society of Neuroimaging; and John Wiley & Sons, Inc. The retraction has been agreed upon following an investigation conducted by the University of Michigan. The investigation determined that the patient inclusion and exclusion criteria described in the article were not followed during the study. Duplication and reuse of data from three individual patients were also identified. The authors stated that the study variables were unaffected by the conditions outlined in the exclusion criteria. However, as the first author left the institute and was unresponsive, the co-authors and the journal could not obtain original data for further investigation or verification of the results. As a result, the editors consider the study's results and conclusions unreliable. The authors, E. Liao, A. A. Capizzano, A. Baba, R. Kurokawa, M. Kurokawa, and A. Srinivasan agree to the retraction. Acknowledgement of the retraction could not be obtained from Y. Ota.</p>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70125","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Ota, E. Liao, R. Kurokawa, et al., “Diffusion-Weighted and Dynamic Contrast-Enhanced MRI to Assess Radiation Therapy Response for Head and Neck Paragangliomas,” Journal of Neuroimaging 31, no. 5 (2021): 1035-1043, https://doi.org/10.1111/jon.12875.
The above article, published online on 18 May 2021 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Rohit Bakshi; American Society of Neuroimaging; and John Wiley & Sons, Inc. The retraction has been agreed upon following an investigation conducted by the University of Michigan. The investigation determined that the patient exclusion criteria described in the article were not followed during the study. Furthermore, the age and sex of three patients were inaccurately described in relation to the figures presented. The authors explained that although one patient technically met the exclusion criteria, the authors included this case based on their interpretation that prior interventions did not affect the intracranial lesions analyzed. They also acknowledged that the age and sex of three patients were inaccurately described. The editors concluded that the explanation provided was insufficient to restore confidence in the results and conclusions of the study. E. Liao, R. Kurokawa, F. Syed, A. Baba, M. Kurokawa, and A. Srinivasan agreed to the retraction. The remaining authors could not be reached for final confirmation.
廖晓明，王晓明，等，“磁共振弥散加权和动态增强MRI评估头颈部副神经节瘤放射治疗反应”，中国神经影像杂志，第31期。5 (2021): 1035-1043, https://doi.org/10.1111/jon.12875.The上述文章于2021年5月18日在线发表在Wiley online Library （wileyonlinelibrary.com）上，经期刊主编Rohit Bakshi同意撤回；美国神经影像学学会；John Wiley &; Sons, Inc。在密歇根大学进行调查后，双方同意撤回这篇论文。调查确定在研究中没有遵循文章中描述的患者排除标准。此外，三名患者的年龄和性别与所提供的数据描述不准确。作者解释说，虽然有一名患者在技术上符合排除标准，但作者根据他们对先前干预不影响所分析的颅内病变的解释纳入了该病例。他们还承认，三名患者的年龄和性别描述不准确。编辑的结论是，所提供的解释不足以恢复对研究结果和结论的信心。E. Liao， R. Kurokawa， F. Syed， A. Baba， M. Kurokawa和A. Srinivasan同意撤稿。记者未能联系到其余作者进行最后确认。
{"title":"RETRACTION: Diffusion-Weighted and Dynamic Contrast-Enhanced MRI to Assess Radiation Therapy Response for Head and Neck Paragangliomas","authors":"","doi":"10.1111/jon.70122","DOIUrl":"10.1111/jon.70122","url":null,"abstract":"<p>Y. Ota, E. Liao, R. Kurokawa, et al., “Diffusion-Weighted and Dynamic Contrast-Enhanced MRI to Assess Radiation Therapy Response for Head and Neck Paragangliomas,” <i>Journal of Neuroimaging</i> 31, no. 5 (2021): 1035-1043, https://doi.org/10.1111/jon.12875.</p><p>The above article, published online on 18 May 2021 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Rohit Bakshi; American Society of Neuroimaging; and John Wiley & Sons, Inc. The retraction has been agreed upon following an investigation conducted by the University of Michigan. The investigation determined that the patient exclusion criteria described in the article were not followed during the study. Furthermore, the age and sex of three patients were inaccurately described in relation to the figures presented. The authors explained that although one patient technically met the exclusion criteria, the authors included this case based on their interpretation that prior interventions did not affect the intracranial lesions analyzed. They also acknowledged that the age and sex of three patients were inaccurately described. The editors concluded that the explanation provided was insufficient to restore confidence in the results and conclusions of the study. E. Liao, R. Kurokawa, F. Syed, A. Baba, M. Kurokawa, and A. Srinivasan agreed to the retraction. The remaining authors could not be reached for final confirmation.</p>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Ota, E. Liao, A.A. Capizzano, et al., “MR Diffusion and Dynamic-Contrast Enhanced Imaging to Distinguish Meningioma, Paraganglioma, and Schwannoma in the Cerebellopontine Angle and Jugular Foramen,” Journal of Neuroimaging 32, no. 3 (2022): 502-510, https://doi.org/10.1111/jon.12959.
The above article, published online on 22 December 2021 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Rohit Bakshi; American Society of Neuroimaging; and John Wiley & Sons, Inc. The retraction has been agreed upon following an investigation conducted by the University of Michigan. The investigation identified duplication and reuse of data from three individual patients within the study. The authors were invited to comment on the concerns raised and provide supporting data. However, as the first author left the institute and was unresponsive, the co-authors and the journal could not obtain original data for further investigation or verification of the results. The editors consider the results and conclusions of the study unreliable. The authors, E. Liao, A.A. Capizzano, H. Yokota, A. Baba, R. Kurokawa, M. Kurokawa, K. Yoshii, and A. Srinivasan agree to the retraction. The remaining authors could not be reached for final confirmation.
廖晓明，张晓明，张晓明，等，“脑膜瘤、副神经节瘤和神经鞘瘤在脑桥小脑角和颈静脉孔中的应用”，《神经影像杂志》第32期。3 (2022): 502-510, https://doi.org/10.1111/jon.12959.The上述文章于2021年12月22日在线发表在Wiley在线图书馆（wileyonlinelibrary.com）上，经期刊主编Rohit Bakshi同意撤回；美国神经影像学学会；John Wiley &; Sons, Inc。在密歇根大学进行调查后，双方同意撤回这篇论文。调查确定了研究中三个患者的重复和重复使用数据。作者被邀请对所提出的问题发表评论并提供支持数据。然而，由于第一作者离开了研究所，没有回应，共同作者和期刊无法获得原始数据，无法进一步调查或验证结果。编辑认为该研究的结果和结论不可靠。作者E. Liao， A.A. Capizzano， H. Yokota， A. Baba， R. Kurokawa， M. Kurokawa， K. Yoshii和A. Srinivasan同意撤稿。记者未能联系到其余作者进行最后确认。
{"title":"RETRACTION: MR Diffusion and Dynamic-Contrast Enhanced Imaging to Distinguish Meningioma, Paraganglioma, and Schwannoma in the Cerebellopontine Angle and Jugular Foramen","authors":"","doi":"10.1111/jon.70124","DOIUrl":"10.1111/jon.70124","url":null,"abstract":"<p>Y. Ota, E. Liao, A.A. Capizzano, et al., “MR Diffusion and Dynamic-Contrast Enhanced Imaging to Distinguish Meningioma, Paraganglioma, and Schwannoma in the Cerebellopontine Angle and Jugular Foramen,” <i>Journal of Neuroimaging</i> 32, no. 3 (2022): 502-510, https://doi.org/10.1111/jon.12959.</p><p>The above article, published online on 22 December 2021 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Rohit Bakshi; American Society of Neuroimaging; and John Wiley & Sons, Inc. The retraction has been agreed upon following an investigation conducted by the University of Michigan. The investigation identified duplication and reuse of data from three individual patients within the study. The authors were invited to comment on the concerns raised and provide supporting data. However, as the first author left the institute and was unresponsive, the co-authors and the journal could not obtain original data for further investigation or verification of the results. The editors consider the results and conclusions of the study unreliable. The authors, E. Liao, A.A. Capizzano, H. Yokota, A. Baba, R. Kurokawa, M. Kurokawa, K. Yoshii, and A. Srinivasan agree to the retraction. The remaining authors could not be reached for final confirmation.</p>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Ota, E. Liao, A.A. Capizzano, A. Baba, R. Kurokawa, M. Kurokawa, and A. Srinivasan, “Neurofibromatosis Type 2 Versus Sporadic Vestibular Schwannoma: The Utility of MR Diffusion and Dynamic Contrast-Enhanced Imaging,” Journal of Neuroimaging 32, no. 3 (2022): 554-560, https://doi.org/10.1111/jon.12966.
The above article, published online on 17 January 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Rohit Bakshi; American Society of Neuroimaging; and John Wiley & Sons, Inc. The retraction has been agreed upon following an investigation conducted by the University of Michigan. The investigation determined that the patient exclusion criteria described in the article were not followed during the study. Duplication and reuse of data from three individual patients were also identified. The authors acknowledged that one patient who should have been excluded under these criteria was included in the study. However, as the first author left the institute and was unresponsive, the co-authors and the journal could not obtain original data for further investigation or verification of the results. As a result, the editors consider the study's results and conclusions unreliable. The authors, E. Liao, A.A. Capizzano, A. Baba, R. Kurokawa, M. Kurokawa, and A. Srinivasan agree to the retraction. Acknowledgement of the retraction could not be obtained from Y. Ota.
廖志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强，陈志强。3 (2022): 554-560, https://doi.org/10.1111/jon.12966.The上述文章于2022年1月17日在线发表在Wiley在线图书馆（wileyonlinelibrary.com）上，经期刊主编Rohit Bakshi同意撤回；美国神经影像学学会；John Wiley &; Sons, Inc。在密歇根大学进行调查后，双方同意撤回这篇论文。调查确定在研究中没有遵循文章中描述的患者排除标准。还发现了三名患者的重复和重复使用数据。作者承认，一名本应被排除在这些标准之外的患者被纳入了研究。然而，由于第一作者离开了研究所，没有回应，共同作者和期刊无法获得原始数据，无法进一步调查或验证结果。因此，编辑们认为该研究的结果和结论不可靠。作者E. Liao， A.A. Capizzano， A. Baba， R. Kurokawa， M. Kurokawa和A. Srinivasan同意撤稿。未能从Y. Ota处获得撤稿的确认。
{"title":"RETRACTION: Neurofibromatosis Type 2 Versus Sporadic Vestibular Schwannoma: The Utility of MR Diffusion and Dynamic Contrast-Enhanced Imaging","authors":"","doi":"10.1111/jon.70123","DOIUrl":"10.1111/jon.70123","url":null,"abstract":"<p>Y. Ota, E. Liao, A.A. Capizzano, A. Baba, R. Kurokawa, M. Kurokawa, and A. Srinivasan, “Neurofibromatosis Type 2 Versus Sporadic Vestibular Schwannoma: The Utility of MR Diffusion and Dynamic Contrast-Enhanced Imaging,” <i>Journal of Neuroimaging</i> 32, no. 3 (2022): 554-560, https://doi.org/10.1111/jon.12966.</p><p>The above article, published online on 17 January 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Rohit Bakshi; American Society of Neuroimaging; and John Wiley & Sons, Inc. The retraction has been agreed upon following an investigation conducted by the University of Michigan. The investigation determined that the patient exclusion criteria described in the article were not followed during the study. Duplication and reuse of data from three individual patients were also identified. The authors acknowledged that one patient who should have been excluded under these criteria was included in the study. However, as the first author left the institute and was unresponsive, the co-authors and the journal could not obtain original data for further investigation or verification of the results. As a result, the editors consider the study's results and conclusions unreliable. The authors, E. Liao, A.A. Capizzano, A. Baba, R. Kurokawa, M. Kurokawa, and A. Srinivasan agree to the retraction. Acknowledgement of the retraction could not be obtained from Y. Ota.</p>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jon.70123","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camilo Pineda-Ibarra, Josep Puig, Diego Nuñez-Leiva, Yensa Rodríguez, Juan Mora, Santiago Medrano-Martorell, Jose Carlos Pariente, Marc Comas-Cufí, Aida Niñerola-Baizán, Arnau Farré-Melero, Daniel Alejandro Reyes-Barrios, Iban Aldecoa, Laura Oleaga, Sofia González-Ortiz
Background and Purpose
Grading meningioma guides treatment choices from follow-up to surgical resection with adjuvant radiation. Radiomics may offer a non-invasive alternative to biopsies. We assessed radiomic features (RFs) for distinguishing Grade 1 and Grade 2 meningiomas on preoperative multiparametric MRI.
Methods
Presurgical T1-weighted (T1), T2-weighted (T2), T2 gradient echo-weighted (T2GRE), fluid-attenuated inversion recovery (FLAIR), apparent diffusion coefficient (ADC), and T1-weighted contrast-enhanced (T1CE). MRI sequences of histopathologically diagnosed meningiomas were collected retrospectively. Each volume had 75 RFs extracted from semimanually segmented tumors using MintLesion Research (Version 3.10). The Lasso method selected variables from imputed data, and 10-fold cross-validation determined the optimal regularization parameter. For Lasso-retained variables, multivariate effects were estimated.
Results
Out of 150 patients (67.3% women), 110 (73.3%) had Grade 1 meningiomas, and 40 (26.7%) Grade 2. The strongest metrics to distinguish meningiomas Grade 1 versus Grade 2 were intensity histogram coefficient of variation on T1CE (odds ratio [OR] 0.47, 95% confidence interval [CI] 0.23–0.88; p = 0.028), maximum histogram gradient on T1 (OR 2.11, 95% CI 1.18–4.82; p = 0.043), and intensity histogram quartile coefficient of dispersion on FLAIR (OR 0.53, 95% CI 0.31–0.89; p = 0.021). The combined RFs achieved an area under the curve of 0.814 (95% CI, 0.732–0.896) for grading differentiation. Texture features and metrics extracted from T2, T2GRE, and ADC sequences did not discriminate meningioma grading.
Conclusions
Histogram-based first-order RFs from T1, FLAIR, and T1CE may predict meningioma grades preoperatively. Larger, multicenter studies are needed to confirm these findings, providing insights for clinical decision-making and personalized treatment.
背景与目的：脑膜瘤分级指导从随访到手术辅助放疗的治疗选择。放射组学可能为活检提供一种非侵入性的替代方法。我们评估了术前多参数MRI的放射学特征（RFs）来区分1级和2级脑膜瘤。方法：术前T1加权（T1）、T2加权（T2）、T2梯度回波加权（T2GRE）、流体衰减反演恢复（FLAIR）、表观扩散系数（ADC）、T1加权对比增强（T1CE）。回顾性收集经组织病理学诊断为脑膜瘤的MRI序列。使用mint病变研究（版本3.10）从半手工分割的肿瘤中提取75个RFs。Lasso方法从输入数据中选择变量，通过10次交叉验证确定最优正则化参数。对于lasso保留的变量，估计了多变量效应。结果：150例患者（67.3%女性）中，110例（73.3%）为1级脑膜瘤，40例（26.7%）为2级脑膜瘤。区分1级脑膜瘤和2级脑膜瘤的最强指标是T1CE的强度直方图变异系数（比值比[OR] 0.47, 95%可信区间[CI] 0.23-0.88, p = 0.028）、T1的最大直方图梯度（OR 2.11, 95% CI 1.18-4.82, p = 0.043）和FLAIR的强度直方图四分位数离散系数（OR 0.53, 95% CI 0.31-0.89, p = 0.021）。综合RFs曲线下面积为0.814 （95% CI, 0.732-0.896）。从T2、T2GRE和ADC序列中提取的纹理特征和指标不能区分脑膜瘤的分级。结论：基于直方图的T1、FLAIR和T1CE一阶RFs可以预测术前脑膜瘤的分级。需要更大规模的多中心研究来证实这些发现，为临床决策和个性化治疗提供见解。
{"title":"Brain MRI Radiomic First-Order Features for Presurgical Prediction of Meningioma Grading","authors":"Camilo Pineda-Ibarra, Josep Puig, Diego Nuñez-Leiva, Yensa Rodríguez, Juan Mora, Santiago Medrano-Martorell, Jose Carlos Pariente, Marc Comas-Cufí, Aida Niñerola-Baizán, Arnau Farré-Melero, Daniel Alejandro Reyes-Barrios, Iban Aldecoa, Laura Oleaga, Sofia González-Ortiz","doi":"10.1111/jon.70127","DOIUrl":"10.1111/jon.70127","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Grading meningioma guides treatment choices from follow-up to surgical resection with adjuvant radiation. Radiomics may offer a non-invasive alternative to biopsies. We assessed radiomic features (RFs) for distinguishing Grade 1 and Grade 2 meningiomas on preoperative multiparametric MRI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Presurgical T1-weighted (T1), T2-weighted (T2), T2 gradient echo-weighted (T2GRE), fluid-attenuated inversion recovery (FLAIR), apparent diffusion coefficient (ADC), and T1-weighted contrast-enhanced (T1CE). MRI sequences of histopathologically diagnosed meningiomas were collected retrospectively. Each volume had 75 RFs extracted from semimanually segmented tumors using MintLesion Research (Version 3.10). The Lasso method selected variables from imputed data, and 10-fold cross-validation determined the optimal regularization parameter. For Lasso-retained variables, multivariate effects were estimated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Out of 150 patients (67.3% women), 110 (73.3%) had Grade 1 meningiomas, and 40 (26.7%) Grade 2. The strongest metrics to distinguish meningiomas Grade 1 versus Grade 2 were intensity histogram coefficient of variation on T1CE (odds ratio [OR] 0.47, 95% confidence interval [CI] 0.23–0.88; <i>p</i> = 0.028), maximum histogram gradient on T1 (OR 2.11, 95% CI 1.18–4.82; <i>p</i> = 0.043), and intensity histogram quartile coefficient of dispersion on FLAIR (OR 0.53, 95% CI 0.31–0.89; <i>p</i> = 0.021). The combined RFs achieved an area under the curve of 0.814 (95% CI, 0.732–0.896) for grading differentiation. Texture features and metrics extracted from T2, T2GRE, and ADC sequences did not discriminate meningioma grading.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Histogram-based first-order RFs from T1, FLAIR, and T1CE may predict meningioma grades preoperatively. Larger, multicenter studies are needed to confirm these findings, providing insights for clinical decision-making and personalized treatment.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12869274/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146113504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stijn J. Stoutjesdijk, Phebe J. Groenheide, Iris N. Vos, Robin Bülow, Birgitta K. Velthuis, Ynte M. Ruigrok
Background
Previous studies have identified hemispheric asymmetries in cerebral blood flow and volume, favoring the left hemisphere. Accordingly, we hypothesized that arteries on the left side of the circle of Willis (CoW) are larger than on the right. We compared artery diameters between the hemispheres.
Methods
Cranial time-of-flight magnetic resonance angiography scans of 1052 participants from a population-based cohort were assessed. Diameters of major CoW arteries (> 1.2 mm) were measured using a semiautomatic tool (mean ± standard deviation) and compared between the left and right hemisphere using a paired-samples t-test. As the posterior communicating arteries (Pcom) are often small and non-normally distributed, they were measured manually, categorized as “present” (≥ 1 mm) or “aplastic/hypoplastic” (< 1 mm), and compared using odds ratios (OR) with 95% confidence intervals (CI).
Results
The A2 segment of the anterior cerebral artery was smaller on the left than on the right (1.97 ± 0.21 mm vs. 2.01 ± 0.22 mm; p < 0.001), while the vertebral artery (2.36 ± 0.44 mm vs. 2.25 ± 0.41 mm; p < 0.001) and P1 segment of the posterior cerebral artery (2.01 ± 0.28 mm vs. 1.98 ± 0.29 mm; p = 0.001) were larger on the left. The Pcom was less frequently present on the left (26.7%) than on the right (33.4%; OR 0.73, 95% CI 0.60−0.88). No left–right differences were found for the A1 segment, M1 segment of the middle cerebral artery, and internal carotid artery.
Conclusions
We found that some vessels were larger in the left hemisphere, whereas others were smaller. Future studies should investigate underlying mechanisms driving these specific asymmetries.
背景：先前的研究已经确定了脑血流和脑容量的半球不对称，倾向于左半球。因此，我们假设威利斯圈（CoW）左侧的动脉比右侧的动脉大。我们比较了两个半球之间的动脉直径。方法：对来自人群队列的1052名参与者进行颅脑飞行时间磁共振血管造影扫描。使用半自动工具（平均值±标准差）测量主动脉直径（> 1.2 mm），并使用配对样本t检验比较左、右半球的直径。由于后交通动脉（Pcom）通常较小且非正态分布，因此人工测量后交通动脉，将其分类为“存在”（≥1mm）或“再生/发育不良”（< 1mm），并使用95%置信区间（CI）的优势比（or）进行比较。结果：左侧大脑前动脉A2段比右侧小（1.97±0.21 mm比2.01±0.22 mm, p < 0.001），左侧椎动脉（2.36±0.44 mm比2.25±0.41 mm, p < 0.001）和大脑后动脉P1段（2.01±0.28 mm比1.98±0.29 mm, p = 0.001）较大。Pcom出现在左侧的频率（26.7%）低于右侧（33.4%;OR 0.73, 95% CI 0.60-0.88）。大脑中动脉A1段、M1段、颈内动脉左、右无差异。结论：我们发现左半球的一些血管较大，而另一些血管较小。未来的研究应该探究驱动这些特定不对称的潜在机制。
{"title":"Quantitative MRI Evaluation of Hemispheric Asymmetry in Circle of Willis Artery Diameters","authors":"Stijn J. Stoutjesdijk, Phebe J. Groenheide, Iris N. Vos, Robin Bülow, Birgitta K. Velthuis, Ynte M. Ruigrok","doi":"10.1111/jon.70126","DOIUrl":"10.1111/jon.70126","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Previous studies have identified hemispheric asymmetries in cerebral blood flow and volume, favoring the left hemisphere. Accordingly, we hypothesized that arteries on the left side of the circle of Willis (CoW) are larger than on the right. We compared artery diameters between the hemispheres.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Cranial time-of-flight magnetic resonance angiography scans of 1052 participants from a population-based cohort were assessed. Diameters of major CoW arteries (> 1.2 mm) were measured using a semiautomatic tool (mean ± standard deviation) and compared between the left and right hemisphere using a paired-samples <i>t</i>-test. As the posterior communicating arteries (Pcom) are often small and non-normally distributed, they were measured manually, categorized as “present” (≥ 1 mm) or “aplastic/hypoplastic” (< 1 mm), and compared using odds ratios (OR) with 95% confidence intervals (CI).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The A2 segment of the anterior cerebral artery was smaller on the left than on the right (1.97 ± 0.21 mm vs. 2.01 ± 0.22 mm; <i>p</i> < 0.001), while the vertebral artery (2.36 ± 0.44 mm vs. 2.25 ± 0.41 mm; <i>p</i> < 0.001) and P1 segment of the posterior cerebral artery (2.01 ± 0.28 mm vs. 1.98 ± 0.29 mm; <i>p</i> = 0.001) were larger on the left. The Pcom was less frequently present on the left (26.7%) than on the right (33.4%; OR 0.73, 95% CI 0.60−0.88). No left–right differences were found for the A1 segment, M1 segment of the middle cerebral artery, and internal carotid artery.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>We found that some vessels were larger in the left hemisphere, whereas others were smaller. Future studies should investigate underlying mechanisms driving these specific asymmetries.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12869275/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146113465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu Sakai, Jiehyun Kim, Huy Q. Phi, Andrew C. Hu, Pargol Balali, Konstanze V. Guggenberger, John H. Woo, Daniel Bos, Scott E. Kasner, Brett L. Cucchiara, Luca Saba, Zhi Huang, Daniel Haehn, Jae W. Song
Background and Purpose
Embolic stroke of undetermined source (ESUS) may be associated with carotid artery plaques with <50% stenosis. Plaque vulnerability is multifactorial, possibly related to intraplaque hemorrhage (IPH), lipid-rich necrotic core, perivascular adipose tissue (PVAT), and calcifications. Machine learning (ML)-based plaque classification is increasingly popular but often limited in clinical interpretability by black-box nature. We applied an explainable ML approach, using noncalcified plaque components and calcification features with the SHapley Additive exPlanations (SHAP) framework to classify plaques as culprit or nonculprit.
Methods
This was a retrospective, cross-sectional study. Patients with unilateral anterior circulation ESUS with calcified carotid plaques in neck computed tomography (CT) angiography were analyzed. Calcification-level features were derived from manual segmentations. Plaque-level features were assessed by a neuroradiologist and by semi-automated software. Plaques were classified as culprit if ipsilateral to stroke side. Eight classifiers were benchmarked, and a gradient-boosted decision tree (CatBoost) was further tuned. SHAP explained model decisions.
Results
Seventy patients yielded 116 calcified plaques (270 calcifications). Model based on five plaque- and calcification-level features achieved ROC-AUC (receiver operating characteristic area under the curve) 0.79 and precision-recall-AUC 0.86, outperforming classification based on plaque thickness ≥3 mm (ROC-AUC 0.59, p = 0.04) and IPH presence (ROC-AUC 0.51, p = 0.003). SHAP identified plaque thickness and PVAT volume as the most influential features with potential thresholds of >2.6 mm and ≥112 mm3, respectively.f
Conclusions
ML model trained with noncalcified plaque and calcification features can classify culprit calcified carotid plaque better than conventional criteria. Using clinically interpretable features with SHAP, the model explained its decisions and suggested hypothesis-generating thresholds.
背景和目的：来源不明的栓塞性卒中（ESUS）可能与颈动脉斑块有关。方法：这是一项回顾性横断面研究。本文对单侧前循环ESUS合并颈动脉钙化斑块的患者进行了分析。钙化水平特征来源于手工分割。斑块水平特征由神经放射学家和半自动软件评估。如果斑块与卒中侧同侧，则归类为罪魁祸首。对八个分类器进行了基准测试，并进一步调整了梯度增强决策树（CatBoost）。SHAP解释了模型决策。结果：70例患者出现116个钙化斑块（270个钙化）。基于5个斑块和钙化水平特征的模型达到ROC-AUC（曲线下的受试者工作特征面积）0.79和精度-召回- auc 0.86，优于基于斑块厚度≥3 mm （ROC-AUC 0.59, p = 0.04）和IPH存在（ROC-AUC 0.51, p = 0.003）的分类。SHAP确定斑块厚度和PVAT体积是影响最大的特征，潜在阈值分别为>2.6 mm和≥112 mm3。f结论：具有非钙化斑块和钙化特征的ML模型比常规标准能更好地分类罪魁祸首钙化的颈动脉斑块。利用SHAP的临床可解释特征，该模型解释了其决策并提出了假设生成阈值。
{"title":"Explainable Machine-Learning Model to Classify Culprit Calcified Carotid Plaque in Embolic Stroke of Undetermined Source","authors":"Yu Sakai, Jiehyun Kim, Huy Q. Phi, Andrew C. Hu, Pargol Balali, Konstanze V. Guggenberger, John H. Woo, Daniel Bos, Scott E. Kasner, Brett L. Cucchiara, Luca Saba, Zhi Huang, Daniel Haehn, Jae W. Song","doi":"10.1111/jon.70119","DOIUrl":"10.1111/jon.70119","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Embolic stroke of undetermined source (ESUS) may be associated with carotid artery plaques with <50% stenosis. Plaque vulnerability is multifactorial, possibly related to intraplaque hemorrhage (IPH), lipid-rich necrotic core, perivascular adipose tissue (PVAT), and calcifications. Machine learning (ML)-based plaque classification is increasingly popular but often limited in clinical interpretability by black-box nature. We applied an explainable ML approach, using noncalcified plaque components and calcification features with the SHapley Additive exPlanations (SHAP) framework to classify plaques as culprit or nonculprit.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This was a retrospective, cross-sectional study. Patients with unilateral anterior circulation ESUS with calcified carotid plaques in neck computed tomography (CT) angiography were analyzed. Calcification-level features were derived from manual segmentations. Plaque-level features were assessed by a neuroradiologist and by semi-automated software. Plaques were classified as culprit if ipsilateral to stroke side. Eight classifiers were benchmarked, and a gradient-boosted decision tree (CatBoost) was further tuned. SHAP explained model decisions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Seventy patients yielded 116 calcified plaques (270 calcifications). Model based on five plaque- and calcification-level features achieved ROC-AUC (receiver operating characteristic area under the curve) 0.79 and precision-recall-AUC 0.86, outperforming classification based on plaque thickness ≥3 mm (ROC-AUC 0.59, <i>p</i> = 0.04) and IPH presence (ROC-AUC 0.51, <i>p</i> = 0.003). SHAP identified plaque thickness and PVAT volume as the most influential features with potential thresholds of >2.6 mm and ≥112 mm<sup>3</sup>, respectively.f</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>ML model trained with noncalcified plaque and calcification features can classify culprit calcified carotid plaque better than conventional criteria. Using clinically interpretable features with SHAP, the model explained its decisions and suggested hypothesis-generating thresholds.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12825938/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146018885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rakshit Dadarwal, Andre Dik, Laura Bierhansl, Noëmi Gmahl, Nils C. Landmeyer, Tobias J. Brix, Veronika K. Jaeger, Jochen Bauer, Wilhelm Küker, Heinz Wiendl, Christian E. Elger, Stjepana Kovac, Antje Bischof
Background and Purpose
The amygdala plays a key role in the pathophysiology of autoimmune limbic encephalitis (ALE), contributing to epileptic seizures and neuropsychiatric symptoms. While no study has examined microstructural changes in individual amygdala nuclei in ALE, we used the T1-weighted/T2-weighted (T1w/T2w) ratio to explore amygdalar pathology and its associations with clinical manifestations, including epilepsy and neuropsychiatric symptoms.
Methods
This single-center study examined 57 patients diagnosed with ALE and 16 healthy controls (HC). Patients underwent a comprehensive assessment that included clinical, electroencephalogram (EEG), magnetic resonance imaging (MRI), and neuropsychological assessments. Patients were stratified by epileptic focus based on long-term EEG. T1w/T2w ratio and volumetric measures of the amygdala and its nuclei were analyzed and correlated with epileptic focus and neuropsychiatric outcomes.
Results
EEG revealed 26 left temporal, 26 bitemporal, and five right temporal epileptic foci. The T1w/T2w ratio in the left amygdala was markedly reduced in patients with left temporal (p = 0.013) and bitemporal (p = 0.018) epileptic foci compared to HC. This reduction was most pronounced in the left basolateral complex (p = 0.011). Whereas amygdalar volumes were similar between patients and HC, exploratory analyses showed an increased volume of the left lateral nucleus in left temporal ALE (p = 0.036). Furthermore, we found no correlations between MRI measures and neuropsychiatric scores.
Conclusion
Our findings indicate that the basolateral complex of the amygdala is preferentially affected in ALE, suggesting a region-specific vulnerability to autoimmune-mediated inflammation. T1w/T2w ratio alterations reflect the epileptogenic focus and may serve as a clinically accessible, noninvasive biomarker for early diagnosis and treatment monitoring in ALE.
{"title":"T1w/T2w Ratio Identifies the Basolateral Amygdala as a Preferential Target in Autoimmune Limbic Encephalitis","authors":"Rakshit Dadarwal, Andre Dik, Laura Bierhansl, Noëmi Gmahl, Nils C. Landmeyer, Tobias J. Brix, Veronika K. Jaeger, Jochen Bauer, Wilhelm Küker, Heinz Wiendl, Christian E. Elger, Stjepana Kovac, Antje Bischof","doi":"10.1111/jon.70120","DOIUrl":"10.1111/jon.70120","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>The amygdala plays a key role in the pathophysiology of autoimmune limbic encephalitis (ALE), contributing to epileptic seizures and neuropsychiatric symptoms. While no study has examined microstructural changes in individual amygdala nuclei in ALE, we used the T1-weighted/T2-weighted (T1w/T2w) ratio to explore amygdalar pathology and its associations with clinical manifestations, including epilepsy and neuropsychiatric symptoms.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This single-center study examined 57 patients diagnosed with ALE and 16 healthy controls (HC). Patients underwent a comprehensive assessment that included clinical, electroencephalogram (EEG), magnetic resonance imaging (MRI), and neuropsychological assessments. Patients were stratified by epileptic focus based on long-term EEG. T1w/T2w ratio and volumetric measures of the amygdala and its nuclei were analyzed and correlated with epileptic focus and neuropsychiatric outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>EEG revealed 26 left temporal, 26 bitemporal, and five right temporal epileptic foci. The T1w/T2w ratio in the left amygdala was markedly reduced in patients with left temporal (<i>p</i> = 0.013) and bitemporal (<i>p</i> = 0.018) epileptic foci compared to HC. This reduction was most pronounced in the left basolateral complex (<i>p</i> = 0.011). Whereas amygdalar volumes were similar between patients and HC, exploratory analyses showed an increased volume of the left lateral nucleus in left temporal ALE (<i>p</i> = 0.036). Furthermore, we found no correlations between MRI measures and neuropsychiatric scores.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our findings indicate that the basolateral complex of the amygdala is preferentially affected in ALE, suggesting a region-specific vulnerability to autoimmune-mediated inflammation. T1w/T2w ratio alterations reflect the epileptogenic focus and may serve as a clinically accessible, noninvasive biomarker for early diagnosis and treatment monitoring in ALE.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12825940/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146018870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Caterina Lapucci, Massimiliano Gambella, Emilio Cipriano, Anna Maria Raiola, Riccardo Varaldo, Anna Ghiso, M. Centanaro, E. Capello, A. Schenone, Lucio Castellan, Laura Barletta, Emanuele Angelucci, Matilde Inglese
Background and Purpose
Chimeric antigen receptor–engineered T-cell (CAR-T) therapy in hematological malignancies may be associated with severe complications, as Cytokine Release Syndrome (CRS) and Immune effector Cell-Associated Neurotoxicity Syndrome (ICANS). The aim of the study is to investigate MRI-derived macrostructural and microstructural features potentially able to identify patients at higher ICANS risk.
Methods
Forty-two patients treated with CAR-T from October 2020 to June 2025 performed brain MRIs before CAR-T administration, including diffusion-weighted imaging. A general linear model was used to compare patients who developed ICANS, CRS, or neither at baseline in terms of MRI macro- and microstructural features. A binary logistic regression analysis was performed to evaluate the role of microstructural features in predicting the risk of developing ICANS.
Results
Mean age 59.2 ± 13 years, 59.5% male; 21 (50%) patients received tisagenlecleucel, 21 (50%), axicabtagene ciloleucel or brexucabtagene autoleucel; 14 (33%) and 31 (73.8%) patients developed ICANS and CRS, respectively. At baseline MRI, fluid-attenuated inversion recovery (FLAIR) white matter (WM) hyperintensities were detected in 41/42 (97.6%). No significant differences between patients who developed ICANS, CRS and neither both were observed in terms of FLAIR hyperintensities nor total brain volume at baseline. Fractional anisotropy extracted from FLAIR hyperintensities and WM areas without macroscopic abnormalities was a predictor of ICANS in the logistic regression model (p = 0.03 and 0.02, respectively).
Conclusions
FLAIR hyperintensities and brain volume prior to CAR-T were not informative, whereas the severity of WM microstructural (axonal) damage predicted ICANS risk. Greater axonal damage was associated with a higher likelihood of ICANS.
{"title":"Brain Microstructural Damage as Potential Biomarker of Immune Cell-Associated Neurotoxicity Syndrome","authors":"Caterina Lapucci, Massimiliano Gambella, Emilio Cipriano, Anna Maria Raiola, Riccardo Varaldo, Anna Ghiso, M. Centanaro, E. Capello, A. Schenone, Lucio Castellan, Laura Barletta, Emanuele Angelucci, Matilde Inglese","doi":"10.1111/jon.70115","DOIUrl":"10.1111/jon.70115","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Chimeric antigen receptor–engineered T-cell (CAR-T) therapy in hematological malignancies may be associated with severe complications, as Cytokine Release Syndrome (CRS) and Immune effector Cell-Associated Neurotoxicity Syndrome (ICANS). The aim of the study is to investigate MRI-derived macrostructural and microstructural features potentially able to identify patients at higher ICANS risk.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Forty-two patients treated with CAR-T from October 2020 to June 2025 performed brain MRIs before CAR-T administration, including diffusion-weighted imaging. A general linear model was used to compare patients who developed ICANS, CRS, or neither at baseline in terms of MRI macro- and microstructural features. A binary logistic regression analysis was performed to evaluate the role of microstructural features in predicting the risk of developing ICANS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Mean age 59.2 ± 13 years, 59.5% male; 21 (50%) patients received tisagenlecleucel, 21 (50%), axicabtagene ciloleucel or brexucabtagene autoleucel; 14 (33%) and 31 (73.8%) patients developed ICANS and CRS, respectively. At baseline MRI, fluid-attenuated inversion recovery (FLAIR) white matter (WM) hyperintensities were detected in 41/42 (97.6%). No significant differences between patients who developed ICANS, CRS and neither both were observed in terms of FLAIR hyperintensities nor total brain volume at baseline. Fractional anisotropy extracted from FLAIR hyperintensities and WM areas without macroscopic abnormalities was a predictor of ICANS in the logistic regression model (<i>p</i> = 0.03 and 0.02, respectively).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>FLAIR hyperintensities and brain volume prior to CAR-T were not informative, whereas the severity of WM microstructural (axonal) damage predicted ICANS risk. Greater axonal damage was associated with a higher likelihood of ICANS.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12811698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145989665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gina Rodrigues de Oliveira, Tamires Morett Gama, Lucas Rego Ramos, Marcos Fabio DosSantos
Background and Purpose
Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, hypersensitivity, and cognitive impairments. Alterations in brain functional connectivity have been suggested as possible mechanisms underlying pain amplification in these patients. This study aimed to investigate patterns of brain functional connectivity in patients with FM using resting-state functional magnetic resonance imaging.
Methods
Data were obtained from the public OpenNeuro repository and acquired on a 3 Tesla scanner. The sample consisted of 33 women with a clinical diagnosis of FM (x̅ = 41.73 ± 6.09 years) and 33 age-matched healthy controls (x̅ = 41.52 ± 6.03 years), with no significant differences in age (p = 0.89) or education level (p = 0.81). Images were processed and analyzed using independent component analysis. Between-group comparisons were corrected for multiple comparisons using false discovery rate (FDR) correction (p < 0.05).
Results
Patients with FM showed a significant reduction in functional connectivity within the right sensorimotor network (SMN) compared to controls (p-FDR < 0.05). Moreover, a negative correlation was observed between connectivity in this network and the sensory dimension of pain assessed by the McGill Pain Questionnaire (r = −0.35; p = 0.05).
Conclusion
The reduced functional connectivity within the SMN may represent a neurobiological marker of FM, reflecting dysfunctions in sensorimotor integration and central modulation of pain. These findings support the hypothesis that FM involves functional brain alterations related to pain perception and amplification.
{"title":"Disrupted Sensorimotor Network Integration in Women With Fibromyalgia Revealed by Resting-State Functional MRI","authors":"Gina Rodrigues de Oliveira, Tamires Morett Gama, Lucas Rego Ramos, Marcos Fabio DosSantos","doi":"10.1111/jon.70118","DOIUrl":"10.1111/jon.70118","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, hypersensitivity, and cognitive impairments. Alterations in brain functional connectivity have been suggested as possible mechanisms underlying pain amplification in these patients. This study aimed to investigate patterns of brain functional connectivity in patients with FM using resting-state functional magnetic resonance imaging.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data were obtained from the public OpenNeuro repository and acquired on a 3 Tesla scanner. The sample consisted of 33 women with a clinical diagnosis of FM (<i>x̅</i> = 41.73 ± 6.09 years) and 33 age-matched healthy controls (<i>x̅</i> = 41.52 ± 6.03 years), with no significant differences in age (<i>p</i> = 0.89) or education level (<i>p</i> = 0.81). Images were processed and analyzed using independent component analysis. Between-group comparisons were corrected for multiple comparisons using false discovery rate (FDR) correction (<i>p</i> < 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Patients with FM showed a significant reduction in functional connectivity within the right sensorimotor network (SMN) compared to controls (<i>p</i>-FDR < 0.05). Moreover, a negative correlation was observed between connectivity in this network and the sensory dimension of pain assessed by the McGill Pain Questionnaire (<i>r</i> = −0.35; <i>p</i> = 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The reduced functional connectivity within the SMN may represent a neurobiological marker of FM, reflecting dysfunctions in sensorimotor integration and central modulation of pain. These findings support the hypothesis that FM involves functional brain alterations related to pain perception and amplification.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12789959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145944562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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