Evidence map›Paper›PMID 33355686›Full record

ArticleClinical neuroradiology2021

Quantitative Assessment of Hyperdense Sign Measured by Hounsfield Units is Associated with Unsuccessful Mechanical Thrombectomy.

Fazeel M Siddiqui, Cynthia B Zevallos, Sudeepta Dandapat, Kiddy L Ume, Matthew Weber, Andres Dajles, Darko Quispe-Orozco, Mudassir Farooqui, Santiago Ortega-Gutierrez

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Article in Clinical neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Fazeel M SiddiquiDepartment of Neuroscience, Metro Health, University of Michigan, Wyoming, MI, USA.
Cynthia B ZevallosDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Sudeepta DandapatDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Kiddy L UmeDepartment of Neurology, Southern Illinois University School of Medicine, Springfield, IL, USA.
Matthew WeberDepartment of Neurology, Southern Illinois University School of Medicine, Springfield, IL, USA.
Andres DajlesDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Darko Quispe-OrozcoDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Mudassir FarooquiDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Santiago Ortega-GutierrezDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA. santy-ortega@uiowa.edu.ORCID http://orcid.org/0000-0002-3408-1297
University of Iowa Hospitals and Clinics · USSouthern Illinois University School of Medicine · USUniversity of Michigan · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
6 · The paper itself

Abstract

purposeDespite advancement in mechanical thrombectomy (MT) techniques, 10-30% of MT for large vessel occlusions (LVO) are unsuccessful. Current prediction models fail to address the association between patient-specific factors and reperfusion. We aimed to evaluate objective, easily reproducible, admission clinical and radiological biomarkers that predict unsuccessful MT.

methodsWe analyzed consecutive anterior LVO MT patients at two comprehensive stroke centers. The primary outcome was unsuccessful reperfusion defined by a modified thrombolysis in cerebral infarction (mTICI) score of 0-2a. We quantitatively assessed the hyperdense vessel sign by measuring Hounsfield units (HU) on admission computed tomography (CT). Receiver operating characteristic (ROC) curves were plotted to estimate the predictive value of quantitative hyperdense middle cerebral artery (MCA) measurements (delta and ratio) and of the final model for mTICI scores. We performed multivariable logistic regression to analyze associations with outcomes.

resultsOut of 348 patients 87 had unsuccessful MT. Smoking, difficult arch, vessel tortuosity, vessel calcification, diminutive vessels, truncal M1 occlusion, delta HU and HU ratio were significantly associated with unsuccessful MT in the univariate analysis. When we fitted two separate multivariate models including all significant variables and a HU measurement; delta HU <6 (odds ratio, OR = 2.07, 95% confidence intervals, CI 1.09-3.92) and HU ratio ≤1.1 (OR = 2.003, 95% CI 1.05-3.81) were independently associated with failed MT after adjustment for smoking, diminutive vessels, vessel tortuosity, and difficult arch. The area under the curve AUC<9 of the final model was 0.717.

conclusionNovel radiological biomarkers on CT, CT angiography (CTA) and digital subtraction angiography (DSA) may help identify patients refractory to standard MT and prepare interventionalists for using additional alternative methods. Quantitative assessment of HU (delta and ratio) may be important in developing objective prediction tools for unsuccessful MT.

Indexed as

StrokeThrombectomyCerebral InfarctionHumansMiddle Cerebral ArteryReperfusionRetrospective StudiesTreatment OutcomeBiomarkersCTReperfusionStrokeThrombus

Identifiers

PMID33355686
OpenAlexW3115646134

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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.