Journal of Neuroimaging最新文献

{"title":"Association of Acute Ischemic Stroke Volume With Post-Stroke Epilepsy Development.","authors":"Vijaya Dasari, Kunio Nakamura, Bhaskar Thoomukuntla, Nicolas Thompson, Shumei Man, Ken Uchino, Andrew Russman, M Shazam Hussain, Vineet Punia","doi":"10.1111/jon.70134","DOIUrl":"10.1111/jon.70134","url":null,"abstract":"<p><strong>Background and purpose: </strong>Stroke is a leading cause of epilepsy, especially in older adults. The SeLECT score remains the standard among post-stroke epilepsy (PSE) prediction tools. However, its broader validation is limited by the need to manually extract neuroimaging predictors (cortical and middle cerebral artery [MCA] involvement). Unlike the CAVE score, SeLECT did not evaluate acute stroke volume, which can now be quantified automatically. We aimed to determine whether stroke volume independently predicts PSE and compare its predictive contribution to SeLECT's neuroimaging variables.</p><p><strong>Methods: </strong>SeLECT variables were manually extracted. Diffusion-weighted imaging volume was quantified using a validated convolutional neural network. Cox proportional hazards models for time to PSE were built by adding stroke volume (per 10 mL) and then removing cortical and/or MCA involvement. For each model, we analyzed variable significance, discrimination, and calibration.</p><p><strong>Results: </strong>Among 221 patients, 35 (15.8%) developed PSE. In our cohort, the original SeLECT score and the refit model had a C-index of 0.669 and 0.642, respectively. Adding stroke volume resulted in a C-index of 0.656. Retaining volume while removing cortical and MCA involvement resulted in C-indices of 0.664 and 0.668, respectively. Keeping stroke volume and removing both variables increased the C-index to 0.679. Calibration was good for all models. Stroke volume in crease by 10 mL was an independent predictor of 12% increased PSE risk across all models.</p><p><strong>Conclusions: </strong>Acute stroke volume is an independent PSE predictor. Stroke volume offered comparable discrimination to the neuroimaging components of the SeLECT score, supporting its use as a scalable and automated alternative.</p>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 3","pages":"e70134"},"PeriodicalIF":2.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13145306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147838993","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}

{"title":"Facial Nerve Tractography of Vestibular Schwannomas: A Systematic Review of MR Acquisition and Analysis Pipelines","authors":"Yunjia Ni,&nbsp;Shawn M. Stevens,&nbsp;Trenton House,&nbsp;Ashton Huppert Steed,&nbsp;Alma Jukic,&nbsp;Parvathy Hareesh,&nbsp;Anthony M. Asher,&nbsp;Kaith K. Almefty,&nbsp;Kris A. Smith,&nbsp;Randall W. Porter,&nbsp;Michael T. Lawton,&nbsp;Richard D. Dortch","doi":"10.1111/jon.70131","DOIUrl":"10.1111/jon.70131","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Facial nerve (CN VII) diffusion MR tractography is considered as a useful adjunct in pre-operative planning prior to vestibular schwannoma (VS) resection, especially in larger (Koos Grade III/IV) tumors. Since 2016, several systematic reviews have investigated the clinical value of CN VII tractography in VS, and all reported a “success rate” of at least 87% for predicting the pre-operative CN VII position. Yet in clinical practice, CN VII tractography has not yet been widely adopted into routine clinical practice. We suspected that underlying methodology and reporting metrics for existing tractography algorithms may be overestimating success rate. This motivated us to revisit the literature from a different perspective to unravel the caveats and nuances behind this technology.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We screened all published works on PubMed related to pre-operative CN VII tractography in VS. Twenty-two studies were reviewed in detail.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We observed a strikingly high heterogeneity in tractography protocols in all domains of the tractography acquisition and analysis pipeline across studies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These findings suggest that the reliability and reproducibility of CN VII tractography in large VS has been overestimated. We believe that employing standardized reporting metrics, including sensitivity, true predictive value, and false discovery rate, would increase the transparency of benchmarking over other commonly reported metrics (“success rate” or “concordance rate”). In addition, ongoing research should aim to systematically investigate and improve each step in the acquisition and analysis pipeline for CN VII tractography in VS.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13009313/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147503933","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}

{"title":"Quantitative Choroid Plexus Gadolinium Enhancement Is Related to Diffuse Brain Tissue Injury in Multiple Sclerosis","authors":"Sneha Senthil,&nbsp;Ian Tagge,&nbsp;Dumitru Fetco,&nbsp;Cheng Hsun Hsieh,&nbsp;Haz-Edine Assemlal,&nbsp;Zahra Karimaghaloo,&nbsp;Emily Fetco,&nbsp;G. R. Wayne Moore,&nbsp;Douglas L. Arnold,&nbsp;David A. Rudko,&nbsp;Sridar Narayanan","doi":"10.1111/jon.70132","DOIUrl":"10.1111/jon.70132","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Recent studies suggest that disruptions of the blood–cerebrospinal fluid (CSF) barrier within the choroid plexus (ChP) may contribute to multiple sclerosis (MS) pathogenesis. We investigated the relationship between a quantitative marker of ChP enhancement and markers of focal and diffuse brain tissue injury in MS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A group of 34 MS participants and 21 healthy participants underwent 7T MRI including magnetization prepared 2 rapid acquisition gradient echoes (MP2RAGE) and fluid attenuated inversion recovery (FLAIR) acquisitions. The MS group received contrast, and delta T1 (ΔT1) maps were computed to assess enhancement. ChP, white matter lesions (WML), normal-appearing white matter (NAWM), and gray matter (GM) were segmented. Pre-contrast quantitative T1 (qT1) values were compared between groups, and linear regression with mean ChP ΔT1 was performed for WML volume and pre-gadolinium (Gd) mean qT1 of WML, NAWM, and GM.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Mean qT1 of ChP, NAWM, and GM, as well as ChP volume, were higher in MS compared to controls (<i>p</i> &lt; 0.001). ChP ΔT1 was significantly associated with pre-Gd qT1 of NAWM (<i>β</i> = 0.20, <i>R²</i> = 0.54, <i>p</i> &lt; 0.001) and GM (<i>β</i> = 0.18, <i>R²</i> = 0.49, <i>p</i> &lt; 0.001), but not WML volume (<i>p</i> = 0.3) or WML qT1 (<i>p</i> = 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The association between ChP enhancement and diffuse tissue injury, together with elevated qT1 values and ChP volumes in MS, supports a mechanism of brain injury involving CSF-mediated toxicity distinct from classic lesion pathology in MS.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12972605/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147390300","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}

{"title":"Proceedings of the 49th Annual Meeting of the American Society of Neuroimaging.","authors":"Adnan I Qureshi, Parvathi Rudrabhatla, Jennifer W McVige, Ryan Hakimi, Andrei Alexandrov","doi":"10.1111/jon.70135","DOIUrl":"https://doi.org/10.1111/jon.70135","url":null,"abstract":"","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 2","pages":"e70135"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147774174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Annual Meeting of the American Society of Neuroimaging Puerto Rico, January 2026.","authors":"","doi":"10.1111/jon.70136","DOIUrl":"https://doi.org/10.1111/jon.70136","url":null,"abstract":"","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 2","pages":"e70136"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147774182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Defining Large Core Infarction: Comparing the Accuracy of Non-Contrast CT ASPECTS Versus CT Perfusion Core Volume","authors":"Ngoc Mai Le,&nbsp;Joseph Samaha,&nbsp;Ananya S. Iyyangar,&nbsp;Javier Gomez-Farias,&nbsp;Bruna Kfoury,&nbsp;Ritesh Bajaj,&nbsp;Connor Nguyen,&nbsp;Syed Shams,&nbsp;Camille Neal-Harris,&nbsp;Emmanuel Ebirim,&nbsp;Hussain Azeem,&nbsp;Anjan N. Ballekere,&nbsp;Saagar Dhanjani,&nbsp;Eunyoung Lee,&nbsp;Luca Giancardo,&nbsp;Sunil A. Sheth","doi":"10.1111/jon.70130","DOIUrl":"10.1111/jon.70130","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>We evaluated agreement and performance of non-contrast head-computerized tomography (NCHCT) and CT-perfusion (CTP) in identifying large core infarct in acute ischemic stroke (AIS) due to large vessel occlusion (LVO) undergoing endovascular therapy (EVT), using MRI as reference.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>From our prospective multicenter registry, we identified patients with LVO-AIS due to internal carotid artery or middle cerebral artery M1occlusions who underwent EVT between 2017 and 2024. Final infarct volume (FIV) was defined using 24–48 h post-EVT diffusion-weighted imaging magnetic resonance imaging (MRI-FIV). To limit infarct growth bias, only patients with CTP-to-EVT start time &lt;3 h were included. Large core infarct was defined at FIV thresholds: 50, 70, and 100 mL. The primary outcome was agreement between NCHCT and CTP in identifying large core infarct using kappa-statistics. Large core was considered if NCHCT-ASPECTS&lt;6 or rCBF&lt;30% volume&gt;70 mL on CTP (RAPID/Viz.AI). Secondary outcomes included classification accuracy of each modality relative to MRI-FIV using the area under the receiver operating characteristic curve (AUC-ROC). Sensitivity analyses were performed in subgroups with TICI 2c−3 and cases processed by RAPID.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 241 EVT-treated LVO-AIS patients, median NIHSS was 15 [IQR: 10−20], MRI-FIV 13.8 Ml [IQR: 5−41.0], ASPECTS 8 [IQR: 7−10], and CTP-predicted core 8 mL [IQR: 0−31.0]. CTP and NCHCT showed slight agreement in identifying large core (κ = 0.192) and weak-to-acceptable discrimination for identifying large core infarcts (AUC-ROC: 0.61−0.72 across MRI-FIV thresholds). Both modalities showed limited predictive ability for 90-day functional independence (AUC-ROC: 0.63−0.65). Similar findings were observed in sensitivity analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Among LVO-AIS EVT-treated patients, NCHCT and CTP demonstrated slight agreement in classifying small versus large core, and neither technique was effective at predicting FIV or clinical outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12937044/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147290117","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}

{"title":"Default Mode Network Resting State Connectivity Derived From Task-Based fMRI: A Validation Study in People With Epilepsy","authors":"Lea Wemheuer,&nbsp;Anna Doll,&nbsp;Martin Wegrzyn,&nbsp;Markus Mertens,&nbsp;Johanna Kissler,&nbsp;Christian G. Bien,&nbsp;Friedrich G. Woermann,&nbsp;Philip Grewe","doi":"10.1111/jon.70129","DOIUrl":"10.1111/jon.70129","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Resting state functional connectivity can be measured using resting state functional MRI (fMRI), but also task-dependent fMRI in blocked designs. The latter has been demonstrated in healthy participants but not yet validated in clinical cohorts. Since functional connectivity of resting state networks (e.g., default mode network [DMN] and somatomotor network [SMN]) is altered in people with epilepsy, and the impact of the disease on the quality of the intermittent resting state data is unclear, we aimed to validate the method using a clinical fMRI in people with epilepsy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We compared functional connectivity derived from a standard resting state with rest periods of a clinical language fMRI (intermittent resting state) of 92 people with focal epilepsy. Both methods were analyzed across different aspects of functional connectivity: topography, within-network connectivity, and group-level comparisons. Therefore, we conducted independent component analyses (ICAs), similarity-, regions of interest (ROI)-to-ROI-, and second-level seed-based analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Results indicated similar ICA-derived topography of DMN and SMN from both methods. Within-network connectivity also yielded comparable results. Seed-based analyses of left and right hippocampal connectivity in people with left and right temporal lobe epilepsy also revealed analogous results, with minor restrictions in right hippocampal connectivity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The intermittent resting state method produces highly similar results to a standard resting state method in people with epilepsy across different aspects of functional connectivity. It is, therefore, an efficient approach to gain insights into functional connectivity networks in a clinical cohort without performing an additional resting state fMRI.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12924090/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146258608","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}

{"title":"Rapid Estimation of Myelin for Diagnostic Imaging and Quantification of Therapy Responses in Multiple Sclerosis","authors":"Evangelos Katsarogiannis,&nbsp;Russell Ouellette,&nbsp;Johan Virhammar,&nbsp;Anne-Marie Landtblom,&nbsp;Joachim Burman,&nbsp;Tobias Granberg,&nbsp;Shala G. Berntsson","doi":"10.1111/jon.70128","DOIUrl":"10.1111/jon.70128","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Purpose</h3>\u0000 \u0000 <p>Recent MRI developments have allowed for in vivo myelin imaging in clinically feasible time frames. This retrospective study aimed to evaluate the ability of the Rapid Estimation of Myelin for Diagnostic Imaging (REMyDI) technique in monitoring longitudinal myelin changes and brain atrophy in persons with multiple sclerosis (pwMS) undergoing treatment with rituximab or autologous hematopoietic stem cell transplantation (aHSCT).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Between May 2017 and January 2022, 62 pwMS treated with either rituximab (<i>n</i> = 25) or aHSCT (<i>n</i> = 37) underwent brain MRI scans at three time points. A 3 Tesla brain MRI was performed, including 3D T1-weighted imaging, 3D T2-weighted fluid-attenuated inversion recovery imaging, and 2D multi-dynamic multi-echo imaging for REMyDI and brain volumetrics. Longitudinal changes in imaging parameters and associations with the Expanded Disability Status Scale and Symbol Digit Modalities Test were analyzed using mixed-effects models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The rituximab group exhibited increases in whole-brain myelin (+0.25 mL per year), cortical myelin (+0.11 mL per year), and myelin in normal-appearing deep gray matter (NADGM) (+0.02 mL per year). In contrast, these measures were stable or declined in the aHSCT group. Brain parenchymal fraction showed a larger reduction in the rituximab group (−0.68% per year) compared to the aHSCT group (−0.24% per year). Myelin-related imaging measures showed positive but nonsignificant associations with clinical parameters.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>REMyDI enables longitudinal assessment of myelin-related metrics in vivo, which complements conventional brain volumetrics and is suitable for monitoring treatment responses in MS.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12903832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146180446","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}

{"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 &amp; 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}

{"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 &amp; 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}