Journal of Neuroradiology最新文献

{"title":"Let's find out about Article-Based Publishing (ABP)/Article Numbering (AN)","authors":"Douraied Ben Salem","doi":"10.1016/j.neurad.2024.101198","DOIUrl":"https://doi.org/10.1016/j.neurad.2024.101198","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101198"},"PeriodicalIF":3.5,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141094912","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":"Meditation mindfulness and hypnosis: We know they work, but just how do they work?","authors":"Lotfi Hacein-Bey, Sidney Krystal, Jean-Pierre Pruvo","doi":"10.1016/j.neurad.2024.101199","DOIUrl":"https://doi.org/10.1016/j.neurad.2024.101199","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 5","pages":"Article 101199"},"PeriodicalIF":3.5,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140950822","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":"A call for junior neuroradiologists to join the “Jeunes Enthousiastes en neuroradiologie DIagnostique” - Research Collaboration (JEDI-RC)","authors":"Thomas Samoyeau","doi":"10.1016/j.neurad.2024.04.003","DOIUrl":"https://doi.org/10.1016/j.neurad.2024.04.003","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101195"},"PeriodicalIF":3.5,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140813541","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":"The importance of arterial systolic pressure (Push) in successful first pass aspiration technique for endovascular thrombectomy","authors":"D Volders, V Linehan, IR Macdonald","doi":"10.1016/j.neurad.2024.04.004","DOIUrl":"10.1016/j.neurad.2024.04.004","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101196"},"PeriodicalIF":3.5,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140854249","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":"Reply to “Successful recanalization because of the pressure differential between arterial systolic pressure (Push) and vacuum level created by the vacuum source (Pull)”","authors":"Guillaume Charbonnier, Fortunato Di Caterino, Alessandra Biondi","doi":"10.1016/j.neurad.2024.04.005","DOIUrl":"10.1016/j.neurad.2024.04.005","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101197"},"PeriodicalIF":3.5,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140871030","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":"Factors related to vessel displacement due to stent retriever retraction: An in vitro study","authors":"Hiroyuki Ikeda,&nbsp;Masanori Kinosada,&nbsp;Minami Uezato,&nbsp;Yoshitaka Kurosaki,&nbsp;Masaki Chin,&nbsp;Sen Yamagata","doi":"10.1016/j.neurad.2024.04.002","DOIUrl":"10.1016/j.neurad.2024.04.002","url":null,"abstract":"<div><h3>Background</h3><p>Thrombectomy with a stent retriever (SR) may lead to intracranial hemorrhage due to vessel displacement. We aimed to explore factors related to vessel displacement using an in vitro vessel model.</p></div><div><h3>Methods</h3><p>A vessel model mimicking two-dimensional left internal carotid angiography findings was used in this study. Six SR types (Solitaire 3 × 40, 4 × 40, and 6 × 40; Embotrap 5 × 37; Trevo 4 × 41; and Tron 4 × 40) were fully deployed in the M2 ascending, M2 bend, or M1 horizontal portion. Subsequently, the SR was retracted, and the vessel displacement, maximum SR retraction force, and angle of the M2 bend portion were measured. A total of 180 SR retraction experiments were conducted using 6 SR types at 3 deployment positions with 10 repetitions each.</p></div><div><h3>Results</h3><p>The mean maximum distance of vessel displacement for Embotrap Ⅲ 5 × 37 (6.4 ± 3.5 mm, <em>n</em> = 30) was significantly longer than that for the other five SR types (<em>p</em> = 0.029 for Solitaire 6 × 40 and <em>p</em> &lt; 0.001 for the others, respectively). Vessel displacement was significantly longer in the M2 ascending portion group (5.4 ± 3.0 mm, <em>n</em> = 60) than in the M2 bend portion group (3.3 ± 1.6 mm, <em>n</em> = 60) (<em>p</em> &lt; 0.001) and it was significantly longer in the M2 bend portion group than in the M1 horizontal portion group (1.1 ± 0.7 mm, <em>n</em> = 60) (<em>p</em> &lt; 0.001). A positive correlation existed between the mean maximum SR retraction force or mean angle of the M2 bend portion due to SR retraction (i.e., vessel straightening) and the mean maximum distance of vessel displacement (<em>r</em> = 0.90, <em>p</em> &lt; 0.001; <em>r</em> = 0.90, <em>p</em> &lt; 0.001, respectively).</p></div><div><h3>Conclusions</h3><p>Vessel displacement varied with the SR type, size, and deployment position. Moreover, vessel displacement correlated with the SR retraction force or vessel straightening of the M2 bend portion.</p></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101194"},"PeriodicalIF":3.5,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140636404","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":"CT analysis of skull contents in naturally mummified human corpses, a multicentric study","authors":"Maëlle Guéganton-Lecat ,&nbsp;Romain Provost ,&nbsp;Tania Delabarde ,&nbsp;Claire Saccardy ,&nbsp;Mathilde Ducloyer ,&nbsp;Douraied Ben Salem","doi":"10.1016/j.neurad.2024.04.001","DOIUrl":"10.1016/j.neurad.2024.04.001","url":null,"abstract":"<div><h3>Introduction</h3><p>This study aimed to assess skull contents, brain appearance, and density on postmortem computed tomography in naturally mummified corpses.</p></div><div><h3>Material and Methods</h3><p>For this purpose, a retrospective multicentric study, including mummified corpses from two French centers (Brest and Nantes) and from the New Mexico Decedent Image Database (USA), was performed by analyzing postmortem computed tomography (PMCT) focused on the head and neck of partially or fully mummified corpses discovered between 2011 and 2022. The PMCT analysis provided data on the CT appearance of brains, allowing them to be classified into four different categories (desiccation, liquefaction, dura mater only (DMO), and absence), and to measure densities (HU) of the brain remains. In addition, data on postmortem intervals (PMI) from Nantes and Brest centers were collected and analyzed to test the link between brain densities and PMIs.</p></div><div><h3>Results</h3><p>54 cases of naturally mummified corpses were included. The brains were classified as liquefied (56%), desiccated (17 %), DMO (20 %), and absent (7 %) based on their CT appearance. Dehydrated brains were significantly (<em>p</em> &lt; 0.004) denser (median 102 HU, interquartile range (IQR) 41) than either liquefied brains (median 39.5 HU, IQR 9) or brains with DMO (median -25 HU, IQR 57). However, the density of brain remains was not significantly affected by where the bodies were found (<em>p</em> = 0,41). Analysis of PMI and brain densities was performed on 22 cases. The results showed that brain remains were significantly (<em>p</em> = 0.039) denser when they were found after a PMI of more than six months.</p></div><div><h3>Conclusion</h3><p>Brain desiccation was the aspect with the highest densities on PMCT, and for which we were able to highlight great preservation of anatomical structures observable in living organisms.</p></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101193"},"PeriodicalIF":3.5,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140636375","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":"Low blood flow ratio is associated with hemorrhagic transformation secondary to mechanical thrombectomy in patients with acute ischemic stroke","authors":"Lufei Feng ,&nbsp;Mengying Yu ,&nbsp;Mo Zheng ,&nbsp;Wangle Huang ,&nbsp;Fei Yao ,&nbsp;Chaomin Qiu ,&nbsp;Ru Lin ,&nbsp;Ying Zhou ,&nbsp;Haoyu Wu ,&nbsp;Guoquan Cao ,&nbsp;Dexing Kong ,&nbsp;Yunjun Yang ,&nbsp;Haoli Xu","doi":"10.1016/j.neurad.2024.03.003","DOIUrl":"10.1016/j.neurad.2024.03.003","url":null,"abstract":"<div><h3>Background and purpose</h3><p>A significant decrease of cerebral blood flow (CBF) is a risk factor for hemorrhagic transformation (HT) in acute ischemic stroke (AIS). This study aimed to ascertain whether the ratio of different CBF thresholds derived from computed tomography perfusion (CTP) is an independent risk factor for HT after mechanical thrombectomy (MT).</p></div><div><h3>Methods</h3><p>A retrospective single center cohort study was conducted on patients with AIS undergoing MT at the First Affiliated Hospital of Wenzhou Medical University from August 2018 to December 2023. The perfusion parameters before thrombectomy were obtained according to CTP automatic processing software. The low blood flow ratio (LFR) was defined as the ratio of brain volume with relative CBF &lt;20 % over volume with relative CBF &lt;30 %. HT was evaluated on the follow-up CT images. Binary logistic regression was used to analyze the correlation between parameters that differ between the two groups with regards to HT occurrence. The predictive efficacy was assessed utilizing the receiver operating characteristic curve.</p></div><div><h3>Results</h3><p>In total, 243 patients met the inclusion criteria. During the follow-up, 46.5 % of the patients (113/243) developed HT. Compared with the Non-HT group, the HT group had a higher LFR (0.47 (0.34–0.65) vs. 0.32 (0.07–0.56); <em>P</em> &lt; 0.001). According to the binary logistic regression analysis, the LFR (aOR: 6.737; 95 % CI: 1.994–22.758; <em>P</em> = 0.002), Hypertension history (aOR: 2.231; 95 % CI: 1.201–4.142; <em>P</em> = 0.011), plasma FIB levels before MT (aOR: 0.641; 95 % CI: 0.456–0.902; <em>P</em> = 0.011), and the mismatch ratio (aOR: 0.990; 95 % CI: 0.980–0.999; <em>P</em> = 0.030) were independently associated with HT secondary to MT. The area under the curve of the regression model for predicting HT was 0.741.</p></div><div><h3>Conclusion</h3><p>LFR, a ratio quantified via CTP, demonstrates potential as an independent risk factor of HT secondary to MT.</p></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101192"},"PeriodicalIF":3.5,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140584810","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":"From 2018 to 2023: A five-year journey of trainee-led network research by the Jeunes en Neuroradiologie Interventionnelle (JENI)-Research Collaborative","authors":"Julien Burel,&nbsp;Grégoire Boulouis,&nbsp;François Zhu,&nbsp;Basile Kerleroux,&nbsp;Eimad Shotar,&nbsp;JENI Research Collaborative","doi":"10.1016/j.neurad.2024.03.002","DOIUrl":"10.1016/j.neurad.2024.03.002","url":null,"abstract":"","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101191"},"PeriodicalIF":3.5,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140332276","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":"Diagnostic validity and reliability of BT-RADS in the management of recurrent high-grade glioma","authors":"Noha Yahia Ebaid ,&nbsp;Rasha Nadeem Ahmed ,&nbsp;Mostafa Mohamad Assy ,&nbsp;Mohamed Ibrahim Amin ,&nbsp;Ahmed Mohamad Alaa Eldin ,&nbsp;Ahmed Mohamed Alsowey ,&nbsp;Rabab Mohamed Abdelhay","doi":"10.1016/j.neurad.2024.03.001","DOIUrl":"10.1016/j.neurad.2024.03.001","url":null,"abstract":"<div><h3>Background and purpose</h3><p>BT-RADS is a new framework system for reporting the treatment response of brain tumors. The aim of the study was to assess the diagnostic performance and reliability of the BT-RADS in predicting the recurrence of high-grade glioma (HGG).</p></div><div><h3>Materials and Methods</h3><p>This prospective single-center study recruited 81 cases with previously operated and pathologically proven HGG. The patients underwent baseline and follow-up contrast-enhanced MRI (CE-MRI). Two neuro-radiologists with ten years-experience in neuroimaging independently analyzed and interpreted the MRI images and assigned a BT-RADS category for each case. To assess the diagnostic accuracy of the BT-RADS for detecting recurrent HGG, the reference standard was the histopathology for BT-RADS categories 3 and 4, while neurological clinical examination and clinical follow up were used as a reference for BT-RADS categories 1 and 2. The inter-reader agreement was assessed using the Cohen's Kappa test.</p></div><div><h3>Results</h3><p>The study included 81 cases of HGG, of which 42 were recurrent and 39 were non-recurrent HGG cases based on the reference test. BT-RADS 3B was the best cutoff for predicting recurrent HGG with a sensitivity of 90.5 % to 92.9 %, specificity of 76.9 % to 84.6 %, and accuracy of 83.9 % to 88.9 %, based on both readers. The BT-RADS showed a substantial inter-reader agreement with a <em>K</em> of 0.710 (<em>P = 0.001</em>).</p></div><div><h3>Conclusions</h3><p>The BT-RADS is a valid and reliable framework for predicting recurrent HGG. Moreover, BT-RADS can help neuro-oncologists make clinical decisions that can potentially improve the patient's outcome.</p></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":"51 4","pages":"Article 101190"},"PeriodicalIF":3.5,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140141049","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}