Evidence map›Paper›PMID 30538891›Full record

ArticleJournal of radiosurgery and SBRT2018

Selective and super-selective C-arm based cone beam CT angiography (CBCTA) with DynaCT for CyberKnife radiosurgery planning of intracranial arteriovenous malformations (AVMs).

Oliver Edwin Holmes, Janos Szanto, Vered Tsehmaister Abitbul, Taleb Al Mansoori, Hanan Al-Qahtani, John Sinclair, Daniela Iancu, Shawn Malone

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Article in Journal of radiosurgery and SBRT, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Oliver Edwin HolmesDivision of Radiation Oncology, Dr. H. Bliss Murphy Cancer Centre, St. John's, NL, Canada.
Janos SzantoDepartment of Medical Physics, Ottawa Hospital Cancer Centre, Ottawa, ON, Canada.
Vered Tsehmaister AbitbulDepartment of Radiology, University of Ottawa, Ottawa, ON, Canada.
Taleb Al MansooriRadiology Department, College of Medicine and Health Sciences, Al Ain, United Arab Emirates.
Hanan Al-QahtaniDepartment of Radiology, University of Ottawa, Ottawa, ON, Canada.
John SinclairDepartment of Neurosurgery, University of Ottawa, Ottawa, ON, Canada.
Daniela IancuDepartment of Radiology, University of Ottawa, Ottawa, ON, Canada.
Shawn MaloneDivision of Radiation Oncology, University of Ottawa, Ottawa, ON, Canada.
University of Ottawa · CAMemorial University of Newfoundland · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuccessful radiosurgery for intracranial arteriovenous malformations (AVMs) requires accurate delineation of the nidus in 3D. Exact targeting and precise equipment is needed to achieve obliteration of the nidus while minimizing toxicity to the surrounding brain. In some micro-AVMs and poorly visible AVMs we have used cone beam CT angiography (CBCTA) with selective and super-selective angiography where a micro-catheter is advanced into the feeding arteries- to assist with nidus definition for CyberKnife radiosurgery planning.

methodsFour patients who had AVMs inadequately visualized with MRI, MRA, CT, CTA, and dynamic CT angiography (dCTA) were identified for selective angiography (2 had super-selective angiography) for CyberKnife radiosurgery. The mean age at the time of treatment was 45 years (range: 22 - 71 years). All patients had suffered prior hemorrhage and were deemed inoperable. Super-selective angiography was done under general anesthesia to minimize motion artefact and the risk of arterial dissection. Angiography was performed using the biplane angiographic suite (ArtisQ; Siemens). Cone beam reconstructions were performed using DynaCT software. For each scan, volumetric data was acquired over 20 seconds in a single rotation of the C-arm mounted flat-panel detector cone-beam CT system. The data set was imported into the CyberKnife TPS and co-registered with the treatment planning CT, T2 MRI and Toshiba dCTA. Delineation of the AVM nidus was performed by the multi-disciplinary AVM team.

resultsThere were no adverse events related to the angiography or radiosurgery treatment. CBCTA data sets created using DynaCT were accurately co-registered with the treatment planning scans in the CyberKnife treatment planning system (Multiplan). For all 4 patients, feeding arteries, draining veins and nidi were clearly visualized and used to develop radiosurgery plans. Mean nidus size was 0.45cc (range: 0.07 - 1.00cc).

conclusionsFor intracranial micro-AVMs and AVMs otherwise poorly visualized using DSA, MRA, CTA or dCTA, selective and super-selective CBCTA images (created using DynaCT) can be successfully imported into the CyberKnife TPS to assist in nidus delineation. Advancement of a micro-catheter into the feeding arteries to allow continuous contrast injection during volumetric scanning constitutes super-selective CBCTA. This technique provides superior visualization of micro-AVMs and should be utilized for radiosurgery planning of poorly visualized AVMs.

Indexed as

arteriovenous malformationsC-arm based cone beam CT angiography (CBCT-A)CyberKnife radiosurgeryintracranial arteriovenous malformationradiosurgeryselective angiography

Identifiers

PMID30538891
PMCPMC6255721
OpenAlexW3025768368

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.