start-ver=1.4
cd-journal=joma
no-vol=195
cd-vols=
no-issue=
article-no=
start-page=123743
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=202503
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Utility of Surgical Simulation for Tubular Retractor Surgery Using Three-Dimensional Printed Intraventricular Tumor Models: Case Series
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Objective: The utility of the tubular retractor for deep-seated tumors, including intraventricular tumors, has recently been reported. However, the surgical field’s depth and narrowness can lead to blind spots, and it is crucial to prevent damage to the cortex and white matter fibers in eloquent areas. Therefore, preoperative simulation is critical for tubular retractor surgery. In this study, we investigated the benefits of threedimensional (3D)-printed intraventricular tumor models for tubular retractor surgery.
Methods: Nine patients with intraventricular central neurocytoma who underwent tubular retractor surgery at our institution between March 2013 and August 2023 were retrospectively reviewed. Fusion images and 3D-printed intraventricular tumor models were developed from preoperative computed tomography (CT) and magnetic resonance imaging (MRI). The puncture points of the tubular retractor were simulated using fusion images and 3D-printed intraventricular tumor models by 11 neurosurgeons (3 experts in brain tumors, 2 experts in areas other than brain tumors, and 6 residents). The dispersion of puncture points among 8 neurosurgeons (excluding brain tumor experts) was compared in each simulation model.
Results: These cases were categorized into two groups based on the dispersion of puncture points simulated by fusion images. Puncture point dispersion was markedly smaller in all cases when using 3D-printed intraventricular tumor models compared to simulations solely based on fusion images.
Conclusions: In intraventricular tumor surgery using a tubular retractor, 3D-printed intraventricular tumor models proved more beneficial in preoperative simulation compared to fusion images.
en-copyright=
kn-copyright=
en-aut-name=OmaeRyo
en-aut-sei=Omae
en-aut-mei=Ryo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KimuraRyu
en-aut-sei=Kimura
en-aut-mei=Ryu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=OtaniYoshihiro
en-aut-sei=Otani
en-aut-mei=Yoshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HarumaJun
en-aut-sei=Haruma
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=SaijoTomoya
en-aut-sei=Saijo
en-aut-mei=Tomoya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=FujitaJuntaro
en-aut-sei=Fujita
en-aut-mei=Juntaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=NishigakiShohei
en-aut-sei=Nishigaki
en-aut-mei=Shohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=IkemachiRyosuke
en-aut-sei=Ikemachi
en-aut-mei=Ryosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=HiranoShuichiro
en-aut-sei=Hirano
en-aut-mei=Shuichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=IshidaJoji
en-aut-sei=Ishida
en-aut-mei=Joji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=FujiiKentaro
en-aut-sei=Fujii
en-aut-mei=Kentaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=YasuharaTakao
en-aut-sei=Yasuhara
en-aut-mei=Takao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=TanakaShota
en-aut-sei=Tanaka
en-aut-mei=Shota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
affil-num=1
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=11
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=12
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=13
en-affil=Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=3D-printed model
kn-keyword=3D-printed model
en-keyword=Case series
kn-keyword=Case series
en-keyword=Intraventricular tumors
kn-keyword=Intraventricular tumors
en-keyword=Preoperative surgical simulation
kn-keyword=Preoperative surgical simulation
en-keyword=Tubular retractor
kn-keyword=Tubular retractor
END
start-ver=1.4
cd-journal=joma
no-vol=19
cd-vols=
no-issue=1
article-no=
start-page=ra.2023-0019
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=2025
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Non-Sinus-Type Dural Arteriovenous Fistula at the Foramen Magnum: A Review of the Literature
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Dural arteriovenous fistula (dAVF) of the foramen magnum (FM) region is rare. Moreover, the terminology of dAVF is very confusing in this region. In the narrow sense, the FM dAVF is the non-sinus-type dAVF with direct venous reflux to the medulla oblongata or spinal cord via the bridging veins (BVs) of the FM. Previous literature was systematically reviewed to investigate the clinical characteristics, angioarchitecture, and effective treatment of the FM dAVF. From the literature review, almost all the feeders of FM dAVF were dural branches. Spinal pial arteries were rarely involved as the feeder. All lesions had venous reflux to the medulla oblongata via medullary BVs. The FM dAVF is characterized by a significant male predominance and a high incidence of aggressive symptoms. The most common symptom is congestive myelopathy, followed by hemorrhage. The FM dAVF differs from the craniocervical junction (CCJ) arteriovenous fistula (AVF) and is similar to the thoracolumbar spinal dAVF. Direct surgery for the FM dAVF is effective and safe. Endovascular treatment for the FM dAVF may be more effective and has lower complication rates than that for the CCJ AVF.
en-copyright=
kn-copyright=
en-aut-name=HiramatsuMasafumi
en-aut-sei=Hiramatsu
en-aut-mei=Masafumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=OzakiTomohiko
en-aut-sei=Ozaki
en-aut-mei=Tomohiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=AokiRie
en-aut-sei=Aoki
en-aut-mei=Rie
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=OdaShinri
en-aut-sei=Oda
en-aut-mei=Shinri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=HarumaJun
en-aut-sei=Haruma
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=HishikawaTomohito
en-aut-sei=Hishikawa
en-aut-mei=Tomohito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=SugiuKenji
en-aut-sei=Sugiu
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=DateIsao
en-aut-sei=Date
en-aut-mei=Isao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
affil-num=1
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Neurosurgery, National Hospital Organization Osaka National Hospital
kn-affil=
affil-num=3
en-affil=Department of Neurosurgery, Tokai University Hachioji Hospital
kn-affil=
affil-num=4
en-affil=Department of Neurosurgery, Tokai University Hachioji Hospital
kn-affil=
affil-num=5
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=dural arteriovenous fistula
kn-keyword=dural arteriovenous fistula
en-keyword=foramen magnum
kn-keyword=foramen magnum
en-keyword=bridging vein
kn-keyword=bridging vein
en-keyword=treatment
kn-keyword=treatment
END
start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=1
article-no=
start-page=e70031
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241226
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Characteristics and outcomes of subarachnoid hemorrhage from vertebral artery dissection: A comparative study with other non-traumatic etiologies
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Aim: Vertebral artery dissection (VAD) is a rare cause of non-traumatic subarachnoid hemorrhage (SAH) with significant clinical implications. This study compared the clinical characteristics and outcomes of SAH from intracranial VAD rupture to those from other etiologies, primarily aneurysmal rupture.
Methods: This single-center retrospective cohort study at Okayama University Hospital included patients with non-traumatic SAH diagnosed between 2019 and 2023. Patients were categorized into "VAD rupture" and "other etiologies" groups. The main outcome was clinical presentation and symptoms. Additional outcomes included ICU mortality, in-hospital mortality, and unfavorable outcomes at discharge and 6 months, defined as a modified Rankin Scale score of 3-6.
Results: A total of 66 patients were included, with 14 in the VAD rupture group and 52 in the other etiologies group. The VAD rupture group was younger (median age 49 vs. 64 years, p = 0.003) and had a higher incidence of out-of-hospital cardiac arrest (42.9% vs. 9.6%, p = 0.011). Preceding headache was more common in the VAD rupture group (78.6% vs. 11.5%, p < 0.001), with a median duration of 36 h before presentation. ICU and in-hospital mortality was higher in the VAD rupture group (both 50.0% vs. 19.3%, p = 0.019). No significant differences were found in unfavorable neurological outcomes at hospital discharge and 6 months.
Conclusions: VAD-related SAH often presents with prodromal headaches, severe symptoms like out-of-hospital cardiac arrest, and higher ICU and in-hospital mortality than other SAH causes, though long-term outcomes are similar. Larger, prospective studies are needed to refine interventions.
en-copyright=
kn-copyright=
en-aut-name=OshitaShu
en-aut-sei=Oshita
en-aut-mei=Shu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=YumotoTetsuya
en-aut-sei=Yumoto
en-aut-mei=Tetsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=JinnoShunta
en-aut-sei=Jinno
en-aut-mei=Shunta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MatsuoIppei
en-aut-sei=Matsuo
en-aut-mei=Ippei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=HongoTakashi
en-aut-sei=Hongo
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=NaitoHiromichi
en-aut-sei=Naito
en-aut-mei=Hiromichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=HiramatsuMasafumi
en-aut-sei=Hiramatsu
en-aut-mei=Masafumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=HarumaJun
en-aut-sei=Haruma
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=SugiuKenji
en-aut-sei=Sugiu
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=TanakaShota
en-aut-sei=Tanaka
en-aut-mei=Shota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=NakaoAtsunori
en-aut-sei=Nakao
en-aut-mei=Atsunori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
affil-num=1
en-affil=Okayama University Medical School
kn-affil=
affil-num=2
en-affil=Department of Emergency, Critical Care, and Disaster Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Emergency, Critical Care, and Disaster Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Emergency, Critical Care, and Disaster Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Emergency, Critical Care, and Disaster Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Department of Emergency, Critical Care, and Disaster Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=7
en-affil=Department of Neurological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=8
en-affil=Department of Neurological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=9
en-affil=Department of Neurological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=10
en-affil=Department of Neurological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=11
en-affil=Department of Emergency, Critical Care, and Disaster Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=headache
kn-keyword=headache
en-keyword=intracranial aneurysm
kn-keyword=intracranial aneurysm
en-keyword=prodromal symptoms
kn-keyword=prodromal symptoms
en-keyword=subarachnoid hemorrhage
kn-keyword=subarachnoid hemorrhage
en-keyword=vertebral artery dissection
kn-keyword=vertebral artery dissection
END
start-ver=1.4
cd-journal=joma
no-vol=17
cd-vols=
no-issue=9
article-no=
start-page=181
end-page=187
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=2023
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Questionnaire Survey of Neurointerventional Simulation Training in the Japanese Society for Neuroendovascular Therapy
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Objective: Simulation training has focused on education and practical training. However, the adoption rate of neurointerventional simulation training in Japan is unknown. Therefore, we sent a questionnaire survey form to consulting specialists from the Japanese Society for Neuroendovascular Therapy (JSNET) to clarify the actual simulation training situation and compare the differences between university hospitals and general hospitals in Japan.
Methods: The questionnaire survey was conducted in 243 neurosurgical training facilities that had JSNET consulting specialists between May 31, 2021 and July 31, 2021. The questionnaire survey forms were distributed by Google Forms.
Results: A total of 162 facilities responded to the survey (response rate: 66.7%; 35.2% from university hospitals and 64.8% from general hospitals). The adoption rate for simulation training was 53.7%, and it was significantly higher in the university hospitals than in the general hospitals (64.9% vs. 47.6%, p = 0.035). On the simulation effectiveness survey, more than 80% of respondents answered that the simulation training was a useful tool for upskill training. The open-ended question on interventional simulation training showed that there are limiting factors such as financial constraints. Additionally, respondents expressed a desire for a standard neurointerventional simulation training and education program.
Conclusion: The adoption rate for simulation training was 53.7% in the training facilities of JSNET, and it was higher in the university hospitals than in the general hospitals. Most of the respondents answered that simulation training is an effective tool to improve neurointerventional skills. They also requested the establishment of simulation training programs and simulation tools.
en-copyright=
kn-copyright=
en-aut-name=EbisudaniYuki
en-aut-sei=Ebisudani
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SugiuKenji
en-aut-sei=Sugiu
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MuraiSatoshi
en-aut-sei=Murai
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HarumaJun
en-aut-sei=Haruma
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=HiramatsuMasafumi
en-aut-sei=Hiramatsu
en-aut-mei=Masafumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=HishikawaTomohito
en-aut-sei=Hishikawa
en-aut-mei=Tomohito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=DateIsao
en-aut-sei=Date
en-aut-mei=Isao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
affil-num=1
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=neurointervention
kn-keyword=neurointervention
en-keyword=simulation training
kn-keyword=simulation training
en-keyword=questionnaire survey
kn-keyword=questionnaire survey
END
start-ver=1.4
cd-journal=joma
no-vol=159
cd-vols=
no-issue=
article-no=
start-page=e113
end-page=e119
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20223
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A New Method of Intracranial Aneurysm Modeling for Stereolithography Apparatus 3D Printer: The “Wall-Carving Technique” Using Digital Imaging and Communications in Medicine Data
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=OBJECTIVE: To assess the ability of the "wall-carving (WC) image technique", which uses vascular images from 3-dimensional digital subtraction angiograms (3DDSAs). Also, to verify the accuracy of the resulting 3D-printed hollow models of intracranial aneurysms.
METHODS: The 3DDSA data from 9 aneurysms were processed to obtain volumetric models suitable for the stereolithography apparatus. The resulting models were filled with iodinated contrast media. 3D rotational angiography of the models was carried out, and the aneurysm geometry was compared with the original patient data. The accuracy of the 3D-printed hollow models' sizes and shapes was evaluated using the nonparametric Wilcoxon signed-rank test and the Dice coefficient index.
RESULTS: The aneurysm volumes ranged from 34.1 to 4609.8 mm 3 (maximum diameters 5.1-30.1 mm), and no statistically significant differences were noted between the patient data and the 3D-printed models (P = 0.4). Shape analysis of the aneurysms and related arteries indicated a high level of accuracy (Dice coefficient index value: 88.1%-97.3%; mean + SD: 93.6% +/- 2.5%). The vessel wall thickness of the 3D-printed hollow models was 0.4 mm for the parent and 0.2 mm for small branches and aneurysms, almost the same as the patient data.
CONCLUSIONS: The WC technique, which involves volume rendering of 3DDSAs, can provide a detailed description of the contrast enhancement of intracranial vessels and aneurysms at arbitrary depths. These models can provide precise anatomic information and be used for simulations of endovascular treatment.
en-copyright=
kn-copyright=
en-aut-name=HarumaJun
en-aut-sei=Haruma
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=SugiuKenji
en-aut-sei=Sugiu
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=HoshikaMinori
en-aut-sei=Hoshika
en-aut-mei=Minori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HiramatsuMasafumi
en-aut-sei=Hiramatsu
en-aut-mei=Masafumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=HishikawaTomohito
en-aut-sei=Hishikawa
en-aut-mei=Tomohito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=MuraiSatoshi
en-aut-sei=Murai
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
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END