8 research outputs found

    Management of post-puncture bleeding after neurointerventional procedures performed with a large-bore sheath introducer

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    Various adjunctive techniques for neurointerventional procedures require a large-bore sheath introducer, but there is concern that this could result in more puncture site hemorrhagic complications despite using a vascular closure device. The purpose of this study was to assess the relationship between use of large-bore sheath introducer and post-procedural complications. Between January 2016 and April 2018, 126 neurointerventional procedures were performed in our hospital using 8 or 9 Fr sheath introducer in size and the Angio-Seal STS PLUS (St. Jude Medical, Minnetonka, USA). Hemorrhagic complications were defined as obvious swelling or bleeding at the puncture site or as extravascular bleeding detected by ultrasonography or contrast-enhanced computed tomography. The procedures were divided into a group with post-puncture bleeding (group B, n = 21) and a group without bleeding (group N, n = 105). Risk factors were compared between the groups according to the incidence of post-puncture bleeding. In addition, we assessed the outcome and approach to hemostasis in the procedures with bleeding. In result, hemorrhagic complications occurred in 21 procedures (17%), and pseudoaneurysm was detected in 4 procedures (3.2%). In 20 of group B (16%), manual compression was performed for an average of 36.4 min. One patient (0.79%) required surgical angioplasty. Risk factors for bleeding were not significantly different between the two groups. None of the patients with bleeding showed a decrease on the modified Rankin Scale. In conclusion, use of a large-bore sheath introducer may increase the incidence of post-puncture bleeding, but the outcome of this complication is acceptable

    Effectiveness of tuning an artificial intelligence algorithm for cerebral aneurysm diagnosis: a study of 10,000 consecutive cases

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    Abstract Diagnostic image analysis for unruptured cerebral aneurysms using artificial intelligence has a very high sensitivity. However, further improvement is needed because of a relatively high number of false positives. This study aimed to confirm the clinical utility of tuning an artificial intelligence algorithm for cerebral aneurysm diagnosis. We extracted 10,000 magnetic resonance imaging scans of participants who underwent brain screening using the “Brain Dock” system. The sensitivity and false positives/case for aneurysm detection were compared before and after tuning the algorithm. The initial diagnosis included only cases for which feedback to the algorithm was provided. In the primary analysis, the sensitivity of aneurysm diagnosis decreased from 96.5 to 90% and the false positives/case improved from 2.06 to 0.99 after tuning the algorithm (P < 0.001). In the secondary analysis, the sensitivity of aneurysm diagnosis decreased from 98.8 to 94.6% and the false positives/case improved from 1.99 to 1.03 after tuning the algorithm (P < 0.001). The false positives/case reduced without a significant decrease in sensitivity. Using large clinical datasets, we demonstrated that by tuning the algorithm, we could significantly reduce false positives with a minimal decline in sensitivity

    sj-vid-2-ine-10.1177 1591019918774888 - Supplemental material for Safety and efficacy of a new outreach distal access catheter, TACTICS, for coil embolization of unruptured intracranial aneurysms

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    <p>Supplemental material, sj-vid-2-ine-10.1177 1591019918774888 for Safety and efficacy of a new outreach distal access catheter, TACTICS, for coil embolization of unruptured intracranial aneurysms by Toshinori Matsushige, Shigeyuki Sakamoto, Daizo Ishii, Katsuhiro Shinagawa, Koji Shimonaga, Masahiro Hosogai, Tomohiro Kawasumi, Junpei Oshita, Takahito Okazaki and Kaoru Kurisu in Interventional Neuroradiology</p
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