Evidence map›Paper›PMID 28764614›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2017

Quantitative evaluation of arteriovenous malformation hemodynamic changes after endovascular treatment using parametric color coding: A case series study.

Rodrigo Rivera, Juan G Sordo, Daniel Echeverria, Lautaro Badilla, Camila Pinto, Catalina Merino-Osorio

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Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rodrigo Rivera1 Neuroradiology Department, Instituto de Neurocirugía Dr. Asenjo, Santiago, Chile.
Juan G Sordo1 Neuroradiology Department, Instituto de Neurocirugía Dr. Asenjo, Santiago, Chile.
Daniel Echeverria1 Neuroradiology Department, Instituto de Neurocirugía Dr. Asenjo, Santiago, Chile.
Lautaro Badilla1 Neuroradiology Department, Instituto de Neurocirugía Dr. Asenjo, Santiago, Chile.
Camila Pinto1 Neuroradiology Department, Instituto de Neurocirugía Dr. Asenjo, Santiago, Chile.
Catalina Merino-Osorio2 Physical Therapy School, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Brain arteriovenous malformations (AVMs) are complex vascular lesions. Endovascular treatment results are usually measured by calculating the volume reduction of the lesions. Nevertheless, vascular flow quantification seems a more physiologically accurate way of measuring endovascular results. We evaluated the use of parametric color coding (PCC) with digital subtraction angiography (DSA), in order to determine the feasibility of PCC to detect and measure the impact of AVM endovascular treatment-induced changes using real-time hemodynamic parameters. Methods and results Supratentorial brain AVM treatment was evaluated in 29 patients over the course of 38 sessions. Using regions of interest (ROIs) at the carotid siphon, arterial feeder, drainage vein and venous sinus, we found significant increase in time to peak (TTP) values at the arterial feeder, drainage vein and venous sinus. We compared TTP in four different embolization volume groups: I (0-25%), II (26-50%), III (51-75%) and IV (76-100%). We found significant differences between groups and a moderate correlation between embolization percentages, as well as an increase in TTP at the main vein ROI; but not in the arterial side or sinus. Conclusions Brain AVM endovascular treatment results can be quantified in vivo with PCC. PCC is capable of detecting hemodynamic changes after brain AVM endovascular treatment, that may reflect flow drop, and it is correlated with volume embolization.

Indexed as

AdultAngiography, Digital SubtractionCerebral AngiographyEmbolization, TherapeuticFemaleHemodynamicsHumansIntracranial Arteriovenous MalformationsMaleRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesTreatment OutcomeArteriovenous malformationscomputer-assistedendovascular proceduresimage processingvascular diseases

Identifiers

PMID28764614
PMCPMC5814066

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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.