Journal of Neuroradiology最新文献

{"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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}

{"title":"Tenecteplase versus Alteplase before thrombectomy: A comprehensive evaluation of clinical and angiographic impact: Insights from the ETIS registry","authors":"Amine Zarzour ,&nbsp;Cedric Batot ,&nbsp;William Boisseau ,&nbsp;Tae-Hee Cho ,&nbsp;Benoit Guillon ,&nbsp;Sébastien Richard ,&nbsp;Gaultier Marnat ,&nbsp;Caroline Arquizan ,&nbsp;Bertrand Lapergue ,&nbsp;David Weisenburger Lile ,&nbsp;ETIS Registry Investigators","doi":"10.1016/j.neurad.2024.02.007","DOIUrl":"10.1016/j.neurad.2024.02.007","url":null,"abstract":"<div><h3>Introduction</h3><p>Data on prior use of Tenecteplase versus Alteplase in acute stroke management by mechanical thrombectomy are controversial. Our primary objective was to make a comprehensive comparative assessment of clinical and angiographic efficacy and safety outcomes in a large prospective observational study.</p></div><div><h3>Methods</h3><p>We included stroke patients who were eligible for intravenous thrombolysis and endovascular thrombectomy between 2019 and 2021, from an ongoing registry in twenty comprehensive stroke centers in France. We divided patients into two groups based on the thrombolytic agent used (Alteplase vs Tenecteplase). We then compared their treatment times, and their angiographic (TICI scale), clinical (mRS at three months and sICH) and safety outcomes after controlling for potential confounders using propensity score methods.</p></div><div><h3>Results</h3><p>We evaluated 1131 patients having undergone thrombectomy for the final analysis, 250 received Tenecteplase and 881 Alteplase. Both groups were of the same median age (75 vs 74 respectively), and had the same baseline NIHSS score (16) and ASPECTS (8). There was no significant difference for First Pass Effect (OR 0.93, 95 % CI 0.76–1.14, <em>p</em> = 0.75), time required for reperfusion (OR 0.03, 95 % CI 0.09–0.16, <em>p</em> = 0.49), or for final reperfusion status. Clinically, functional independence at 90 days was similar in both groups (OR 0.82, 95 % CI 0.61–1.10, <em>p</em> = 0.18) with the same risk of sICH (OR 1.36, 95 % CI 0.77–2.41, <em>p</em> = 0.28). However, Tenecteplase patients had shorter imaging-to-groin puncture times (99 vs 142 min, <em>p</em> &lt; 0.05).</p></div><div><h3>Conclusions</h3><p>Tenecteplase showed no better clinical or angiographic impact on thrombectomy compared to Alteplase. Nevertheless, it appeared associated with a shorter thrombolysis-to-groin puncture time.</p></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140095061","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":"Intra and inter-regional functional connectivity of the human brain due to Task-Evoked fMRI Data classification through CNN & LSTM","authors":"Haniyeh Kaheni ,&nbsp;Mohammad Bagher Shiran Ph.D. ,&nbsp;Seyed Kamran Kamrava M.D. ,&nbsp;Arash Zare-Sadeghi Ph.D.","doi":"10.1016/j.neurad.2024.02.006","DOIUrl":"10.1016/j.neurad.2024.02.006","url":null,"abstract":"<div><h3>Background and purpose</h3><p>Olfaction is an early marker of neurodegenerative disease. Standard olfactory function is essential due to the importance of olfaction in human life. The psychophysical evaluation assesses the olfactory function commonly. It is patient-reported, and results rely on the patient's answers and collaboration. However, methodological difficulties attributed to the psychophysical evaluation of olfactory-related cerebral areas led to limited assessment of olfactory function in the human brain.</p></div><div><h3>Materials and Methods</h3><p>The current study utilized clustering approaches to assess olfactory function in fMRI data and used brain activity to parcellate the brain with homogeneous properties. Deep neural network architecture based on ResNet convolutional neural networks (CNN) and Long Short-Term Model (LSTM) designed to classify healthy with olfactory disorders subjects.</p></div><div><h3>Results</h3><p>The fMRI result obtained by k-means unsupervised machine learning model was within the expected outcome and similar to those found with the conn toolbox in detecting active areas. There was no significant difference between the means of subjects and every subject. Proposing a CRNN deep learning model to classify fMRI data in two different healthy and with olfactory disorders groups leads to an accuracy score of 97 %.</p></div><div><h3>Conclusions</h3><p>The K-means unsupervised algorithm can detect the active regions in the brain and analyze olfactory function. Classification results prove the CNN-LSTM architecture using ResNet provides the best accuracy score in olfactory fMRI data. It is the first attempt conducted on olfactory fMRI data in detail until now.</p></div>","PeriodicalId":50115,"journal":{"name":"Journal of Neuroradiology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139974339","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}