Suppr超能文献

相似文献

1
Imaging Artifacts of Nonadhesive Liquid Embolic Agents in Conventional and Cone-beam CT in a Novel in Vitro AVM Model.
Clin Neuroradiol. 2021 Dec;31(4):1141-1148. doi: 10.1007/s00062-021-01013-5. Epub 2021 Apr 14.
2
Imaging Artifacts of Liquid Embolic Agents on Conventional CT in an Experimental in Vitro Model.
AJNR Am J Neuroradiol. 2021 Jan;42(1):126-131. doi: 10.3174/ajnr.A6867. Epub 2020 Nov 19.
3
Imaging artifacts of Onyx and PHIL on conventional CT, cone-beam CT and MRI in an animal model.
Interv Neuroradiol. 2018 Dec;24(6):693-701. doi: 10.1177/1591019918782692. Epub 2018 Jul 4.
5
The impact of software-based metal artifact reduction on the liquid embolic agent Onyx in cone-beam CT: a systematic in vitro and in vivo study.
J Neurointerv Surg. 2022 Aug;14(8):832-836. doi: 10.1136/neurintsurg-2021-018018. Epub 2021 Aug 25.
6
Beam hardening artifacts of liquid embolic agents: comparison between Squid and Onyx.
J Neurointerv Surg. 2019 Jul;11(7):706-709. doi: 10.1136/neurintsurg-2018-014542. Epub 2018 Dec 19.
7
Iterative Metal Artifact Reduction (iMAR) of the Non-adhesive Liquid Embolic Agent Onyx in Computed Tomography : An Experimental Study.
Clin Neuroradiol. 2022 Sep;32(3):695-703. doi: 10.1007/s00062-021-01101-6. Epub 2021 Oct 13.
8
Visibility of liquid embolic agents in fluoroscopy: a systematic in vitro study.
J Neurointerv Surg. 2023 Jun;15(6):594-599. doi: 10.1136/neurintsurg-2022-018958. Epub 2022 May 4.
10
Stereotactic radiosurgery for arteriovenous malformations after Onyx embolization: a case-control study.
J Neurosurg. 2015 Jul;123(1):126-35. doi: 10.3171/2014.12.JNS141437. Epub 2015 Feb 6.

引用本文的文献

2
PHIL and Squid Embolization of Cerebral Arteriovenous Malformation: A Retrospective Case Series of 23 Patients.
Neurointervention. 2022 Nov;17(3):174-182. doi: 10.5469/neuroint.2022.00199. Epub 2022 Aug 30.
3
Visibility of liquid embolic agents in fluoroscopy: a systematic in vitro study.
J Neurointerv Surg. 2023 Jun;15(6):594-599. doi: 10.1136/neurintsurg-2022-018958. Epub 2022 May 4.
4
Surgical management of auricular arteriovenous malformations: A literature review.
Laryngoscope Investig Otolaryngol. 2022 Mar 15;7(2):604-613. doi: 10.1002/lio2.776. eCollection 2022 Apr.
5
Iterative Metal Artifact Reduction (iMAR) of the Non-adhesive Liquid Embolic Agent Onyx in Computed Tomography : An Experimental Study.
Clin Neuroradiol. 2022 Sep;32(3):695-703. doi: 10.1007/s00062-021-01101-6. Epub 2021 Oct 13.
6
The impact of software-based metal artifact reduction on the liquid embolic agent Onyx in cone-beam CT: a systematic in vitro and in vivo study.
J Neurointerv Surg. 2022 Aug;14(8):832-836. doi: 10.1136/neurintsurg-2021-018018. Epub 2021 Aug 25.

本文引用的文献

1
Imaging Artifacts of Liquid Embolic Agents on Conventional CT in an Experimental in Vitro Model.
AJNR Am J Neuroradiol. 2021 Jan;42(1):126-131. doi: 10.3174/ajnr.A6867. Epub 2020 Nov 19.
2
Brain arteriovenous malformations: A review of natural history, pathobiology, and interventions.
Neurology. 2020 Nov 17;95(20):917-927. doi: 10.1212/WNL.0000000000010968. Epub 2020 Oct 1.
3
Iterative metal artifact reduction in aortic CTA after Onyx®-embolization.
Eur J Radiol Open. 2020 Sep 4;7:100255. doi: 10.1016/j.ejro.2020.100255. eCollection 2020.
5
Embolization of brain arteriovenous malformations with intent to cure: a systematic review.
J Neurosurg. 2020 Feb 1;132(2):388-399. doi: 10.3171/2018.10.JNS181791. Epub 2019 Feb 1.
6
Beam hardening artifacts of liquid embolic agents: comparison between Squid and Onyx.
J Neurointerv Surg. 2019 Jul;11(7):706-709. doi: 10.1136/neurintsurg-2018-014542. Epub 2018 Dec 19.
8
Imaging artifacts of Onyx and PHIL on conventional CT, cone-beam CT and MRI in an animal model.
Interv Neuroradiol. 2018 Dec;24(6):693-701. doi: 10.1177/1591019918782692. Epub 2018 Jul 4.
9
Quantification of tantalum sedimentation rates in liquid embolic agents.
Interv Neuroradiol. 2018 Oct;24(5):574-579. doi: 10.1177/1591019918773443. Epub 2018 May 19.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验