Journal of Neuroradiology最新文献

{"title":"Brain MRI in patients with psychiatric disorders: A retrospective evaluation in routine clinical practice","authors":"Andrianarivony Rakotondraibe ,&nbsp;Imen Megdiche ,&nbsp;Anne Maraval ,&nbsp;Alice Le Berre ,&nbsp;Charles Laïdi ,&nbsp;Blanche Bapst","doi":"10.1016/j.neurad.2026.101415","DOIUrl":"10.1016/j.neurad.2026.101415","url":null,"abstract":"<div><h3>Background</h3><div>The clinical utility of routine brain MRI in psychiatry is debated with heterogeneous practices.</div></div><div><h3>Purpose</h3><div>To evaluate local brain MRI practices in patients with psychiatric symptoms by assessing imaging protocols and clinical relevance of findings.</div></div><div><h3>Materials and Methods</h3><div>This single-center retrospective study included all brain MRIs requested by psychiatrists between October 2017 and June 2024. Imaging protocols were all reviewed, and MRI were classified as AF+ (“actionable finding”), corresponding to imaging findings that warranted clinical action, or AF-. AF+ were further stratified by urgency: immediate (&lt;24 h), urgent (within weeks), or routine.</div></div><div><h3>Results</h3><div>Among 532 patients (55% women; mean age 47 years, SD = 19.5), 82% underwent a protocol including DWI, SWI, FLAIR, and 3D T1. Overall, 37% of scans were AF+, with 1% requiring immediate, 6% urgent, and 93% routine management. AF+ were most frequently detected on FLAIR (72%) and 3D T1 (60%), while some lesions were only visible on dedicated sequences (e.g., microbleeds on SWI, ischemia on DWI). Frequency of AF+ increases with age (odds ratio = 1.06 per year; 95% CI [1.05–1.08]; <em>p</em> = 2.7 × 10⁻²⁴). AF+ were found in 28.8% of patients with psychotic disorders, 45.5% of those with depressive disorders, and 84.9% of those referred for neurocognitive symptoms.</div></div><div><h3>Conclusion</h3><div>Routine brain MRI in psychiatry revealed actionable findings in one-third of cases, supporting its relevance in selected psychiatric patients when performed with a minimal protocol (FLAIR, 3D T1, DWI, SWI).</div></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101415"},"PeriodicalIF":3.3,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regression of a flow-related PCA–PCoA junction aneurysm after angioplasty for ICA stenosis: Serial angiographic demonstration of flow reversal","authors":"Misaki Kozu ,&nbsp;Daisuke Yamazaki ,&nbsp;Akifumi Yokota ,&nbsp;Daisuke Satoh ,&nbsp;Tetsuyoshi Horiuchi ,&nbsp;Shigeaki Kobayashi","doi":"10.1016/j.neurad.2026.101414","DOIUrl":"10.1016/j.neurad.2026.101414","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101414"},"PeriodicalIF":3.3,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145949477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of venous drainage characteristics of non-adhesive liquid embolic agents in brain AVMs: The “Tear-away phenomenon” of PHIL","authors":"Ryuichi NODA ,&nbsp;Mohamad Izzat Arslan CHE-ROS ,&nbsp;Christophe Rivière PAYA ,&nbsp;Suzana SALEME ,&nbsp;Aymeric ROUCHAUD ,&nbsp;Charbel MOUNAYER","doi":"10.1016/j.neurad.2025.101412","DOIUrl":"10.1016/j.neurad.2025.101412","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101412"},"PeriodicalIF":3.3,"publicationDate":"2026-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145901516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intraosseous Drainage Routes in Cerebrospinal Fluid-Venous Fistulae: Imaging Features and Clinical Considerations","authors":"Yushin Takemoto ,&nbsp;Timo Krings ,&nbsp;Neil V. Patel ,&nbsp;Jonathan Pace ,&nbsp;Emanuele Orru","doi":"10.1016/j.neurad.2025.101409","DOIUrl":"10.1016/j.neurad.2025.101409","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101409"},"PeriodicalIF":3.3,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Morphological factors and device deformation associated with recurrence in intracranial aneurysms treated with the contour neurovascular system","authors":"Naomi Larsen ,&nbsp;Fritz Wodarg ,&nbsp;Johannes Hensler ,&nbsp;Karim Mostafa ,&nbsp;Sönke Peters ,&nbsp;Mariya Pravdivtseva ,&nbsp;Sylvia Saalfeld ,&nbsp;Friederike Gärtner","doi":"10.1016/j.neurad.2025.101407","DOIUrl":"10.1016/j.neurad.2025.101407","url":null,"abstract":"<div><h3>Background and Purpose</h3><div>The Contour Neurovascular Device is an intrasaccular flow disrupting device designed for the treatment of wide-neck intracranial aneurysms and has been shown to be a safe and effective treatment option. Mid- and long-term results are still scarce, and data on morphological risk factors and device deformation have not been published yet. In this study, we investigate the association of aneurysm-related morphologic parameters and device deformation with recurrence after treatment of intracranial aneurysms with Contour.</div></div><div><h3>Materials and Methods</h3><div>All patients with unruptured and ruptured aneurysms that were treated with Contour in our institution were retrospectively identified. Only patients with 3D-rotational angiography, flat-panel detector-CT or CTA on pre-interventional, 24 h post-interventional, and at least one follow-up imaging were included. Morphological parameters and Contour deformation on longitudinal imaging were tested for an association with aneurysm occlusion status.</div></div><div><h3>Results</h3><div>63 aneurysms were analyzed, the median follow-up time was 17 (range, 2–67) months. Adequate occlusion (BOSS 0–2) on longest follow-up occurred in 79 %, and Contour deformation in 57 %. The parameters neck diameter (<em>p</em> = 0.005, OR 3.1), Contour migration (<em>p</em> = 0.017, OR 9.3) and lateral impression (<em>p</em> = 0.033, OR 5) were significantly and independently associated with deterioration of occlusion status on follow-up imaging. Deformation mostly occurred within a 4 to 6-month follow-up period.</div></div><div><h3>Conclusions</h3><div>Larger neck diameter and Contour deformation are significantly associated with recurrence after treatment with Contour irrespective of the dome-neck ratio. Assessment of Contour deformation on 3D follow-up imaging seems advisable.</div></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101407"},"PeriodicalIF":3.3,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tantalum sedimentation in Onyx® syringes: An in-vitro study of agitation strategies to maintain fluoroscopic visibility","authors":"Thibault Agripnidis ,&nbsp;Farouk Tradi ,&nbsp;Quentin Holay ,&nbsp;Alexis Ruimy ,&nbsp;Ahmed-Ali El Ahmadi ,&nbsp;Basile Kerleroux ,&nbsp;Grégoire Boulouis ,&nbsp;Paul Habert ,&nbsp;Mathieu Di Bisceglie ,&nbsp;Sophie Chopinet ,&nbsp;Pauline Brige ,&nbsp;Valentin Espinas ,&nbsp;Samuel Guigo ,&nbsp;Jan-Patrick Stellmann ,&nbsp;Vincent Vidal ,&nbsp;Jean-François Hak","doi":"10.1016/j.neurad.2025.101408","DOIUrl":"10.1016/j.neurad.2025.101408","url":null,"abstract":"<div><h3>Background and purpose</h3><div>During Onyx® plug formation, pauses in injection can lead to tantalum powder sedimentation, reducing fluoroscopic visibility and increasing the risk of reflux and non-target embolization. Syringe agitation is commonly used to counteract this effect. This study aimed to assess sedimentation time and identify the most effective agitation method.</div></div><div><h3>Materials and Methods</h3><div>Standardized preparations of 1 mL syringes were subjected to nine agitation methods (no agitation, automated/manual; fast/slow, rotary/horizontal) at 3, 5, 7, and 10 min. Optical (absorbance, transmittance) and fluoroscopic measurements (visibility, signal-to-noise ratio [SNR]) were performed. A 3D-printed intracranial artery model was also used to assess fluoroscopy visibility.</div></div><div><h3>Results</h3><div>Tantalum sedimentation progressed gradually, with visible deposits after 35.3 ± 7.32 min. Transmittance remained stable for 150 ± 4.12 min before decreasing. All agitation methods significantly improved SNR and visibility versus no agitation. The most effective methods were observed with automatic slow rotary and manual fast rotary agitation, which consistently maintained higher SNR and visibility (<em>p</em> &lt; 0.001). In the 3D model, time had less impact, and rotary agitation did not significantly impact visibility.</div></div><div><h3>Conclusions</h3><div>Agitation during waiting periods is necessary to preserve visibility. Awareness of early fluoroscopy visibility loss is critical — injecting visually opaque but fluoroscopically invisible Onyx® poses procedural risks. During prolonged procedures, preloaded syringes should be regularly agitated to ensure safe embolization.</div></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101408"},"PeriodicalIF":3.3,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does clinical experience still hold any meaning? What remains of clinical experience in the era of Google, AI and ChatGPT?","authors":"Frédéric Clarençon","doi":"10.1016/j.neurad.2025.101413","DOIUrl":"10.1016/j.neurad.2025.101413","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101413"},"PeriodicalIF":3.3,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145829063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-guided carotid artery stenting without contrast in ESRD patients","authors":"Ying Tan ,&nbsp;Mingyao Li ,&nbsp;Yujie Che ,&nbsp;Xiaobo Liu ,&nbsp;Jiabao Yang ,&nbsp;Ning Ma","doi":"10.1016/j.neurad.2025.101410","DOIUrl":"10.1016/j.neurad.2025.101410","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101410"},"PeriodicalIF":3.3,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bias, accuracy, and trust: no GenAI in peer reviewing","authors":"Douraied Ben Salem ,&nbsp;Jean-Alix Barrat ,&nbsp;Samy Ammari ,&nbsp;Sara Lojo Lendoiro ,&nbsp;Ahror Belaid ,&nbsp;Arnaud Attyé ,&nbsp;Mathilde Ducloyer ,&nbsp;Myriam Edjlali Goujon ,&nbsp;Claire Boutet ,&nbsp;Julien Ognard","doi":"10.1016/j.neurad.2025.101411","DOIUrl":"10.1016/j.neurad.2025.101411","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101411"},"PeriodicalIF":3.3,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145783650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence in the detection of multiple sclerosis plaques: Can it influence the treatment decision?","authors":"Milica Mastilović ,&nbsp;Verónica Muños-Ramírez ,&nbsp;Andreas M. Rauschecker ,&nbsp;Jasmina Boban ,&nbsp;Marie Blanchere ,&nbsp;Francois Cotton ,&nbsp;Olivier Heinzlef ,&nbsp;Myriam Edjlali","doi":"10.1016/j.neurad.2025.101406","DOIUrl":"10.1016/j.neurad.2025.101406","url":null,"abstract":"<div><h3>Background and purpose</h3><div>To monitor multiple sclerosis (MS) progression, follow-up MRIs are used to detect new or enlarging lesions (ELs), typically through manual comparison - a time-consuming, error-prone process. This retrospective study used Pixyl.Neuro.MS®, an AI-based tool, to assess whether AI-assisted readings improve lesion detection and influence treatment decisions.</div></div><div><h3>Materials and Methods</h3><div>The study was conducted retrospectively on MS patients. For the comparison of previous and new MRIs, the deep-learning-based software Pixyl.Neuro.MS® was used. This tool performs lesion segmentation and characterization according to their temporal evolution, facilitating the analysis of new lesions and ELs. Subsequently, a new AI-assisted radiological report was generated and compared with the conventional radiological report. By integrating the AI report with neurological assessments, its potential impact on treatment decisions, in contrast to those based solely on the standard radiological report, was evaluated.</div></div><div><h3>Results</h3><div>In this cohort of 83 MS patients (mean age 49 years, predominantly female), MRI analysis performed by radiologists with AI assistance significantly outperformed standard radiological interpretation. New lesions were identified in 30.1 % of patients using AI-assisted analysis, compared to 14.6 % with conventional reporting (p &lt; 0.001). ELs were detected in 33.7 % of patients through AI-supported evaluation (p &lt; 0.001), while none were identified with standard interpretation. On average, radiologists, aided by AI, identified more new lesions per patient (0.82 vs. 0.46) and achieved a higher true-positive lesion count. Importantly, integrating AI-assisted findings with clinical data led to treatment modification in 10.8 % of patients, underscoring the potential clinical impact of this approach.</div></div><div><h3>Conclusion</h3><div>Artificial intelligence may play a key role in improving detection of new lesions and ELs in patients with MS. The use of Pixyl.Neuro.MS® enhanced radiological interpretation, yielding a more comprehensive assessment of MRI findings compared to conventional analysis. This improved diagnostic precision contributed to revised treatment decisions in a subset of patients.</div></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"53 1","pages":"Article 101406"},"PeriodicalIF":3.3,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}