Evidence map›Paper›PMID 34943451›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Computed Tomography Texture Analysis of Carotid Plaque as Predictor of Unfavorable Outcome after Carotid Artery Stenting: A Preliminary Study.

Davide Colombi, Flavio Cesare Bodini, Beatrice Rossi, Margherita Bossalini, Camilla Risoli, Nicola Morelli, Marcello Petrini, Nicola Sverzellati, Emanuele Michieletti

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Quality assessment of radiomics models in carotid plaque: a systematic review.Quantitative imaging in medicine and surgery · 2024
    Review
  4. Article
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.

Davide ColombiRadiology Unit, Department of Radiology, "Guglielmo da Saliceto" Hospital, Via Taverna 49, 29121 Piacenza, Italy.
Flavio Cesare BodiniRadiology Unit, Department of Radiology, "Guglielmo da Saliceto" Hospital, Via Taverna 49, 29121 Piacenza, Italy.
Beatrice RossiRadiology Unit, Department of Radiology, "Guglielmo da Saliceto" Hospital, Via Taverna 49, 29121 Piacenza, Italy.
Margherita BossaliniRadiology Unit, Department of Radiology, "Guglielmo da Saliceto" Hospital, Via Taverna 49, 29121 Piacenza, Italy.
Camilla RisoliRadiology Unit, Department of Radiology, "Guglielmo da Saliceto" Hospital, Via Taverna 49, 29121 Piacenza, Italy.
Nicola MorelliRadiology Unit, Department of Radiology, "Guglielmo da Saliceto" Hospital, Via Taverna 49, 29121 Piacenza, Italy.
Marcello PetriniRadiology Unit, Department of Radiology, "Guglielmo da Saliceto" Hospital, Via Taverna 49, 29121 Piacenza, Italy.
Nicola SverzellatiUnit "Scienze Radiologiche", Department of Medicine and Surgery (DiMeC), University of Parma, Via Gramsci 14, 43126 Parma, Italy.
Emanuele MichielettiRadiology Unit, Department of Radiology, "Guglielmo da Saliceto" Hospital, Via Taverna 49, 29121 Piacenza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel biomarkers are advocated to manage carotid plaques. Therefore, we aimed to test the association between textural features of carotid plaque at computed tomography angiography (CTA) and unfavorable outcome after carotid artery stenting (CAS). Between January 2010 and January 2021, were selected 172 patients (median age, 77 years; 112/172, 65% men) who underwent CAS with CTA of the supra-aortic vessels performed within prior 6 months. Standard descriptors of the density histogram were derived by open-source software automated analysis obtained by CTA plaque segmentation. Multiple logistic regression analysis, receiver operating characteristic (ROC) curve analysis and the area under the ROC (AUC) were used to identify potential prognostic variables and to assess the model performance for predicting unfavorable outcome (periprocedural death or myocardial infarction and any ipsilateral acute neurological event). Unfavorable outcome occurred in 17/172 (10%) patients (median age, 79 years; 12/17, 70% men). Kurtosis was an independent predictor of unfavorable outcome (odds ratio, 0.79; confidence interval, 0.65-0.97;

Indexed as

braincarotid artery disorderscomputer software applicationsstentsvascular accident

Identifiers

PMID34943451
PMCPMC8699962

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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.