Evidence mapPaperPMID 34397307Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2022

Correlation between computed tomography angiography and histology of carotid artery atherosclerosis: Can semi-automated imaging software predict a plaque's composition?

John C Benson, Valentina Nardi, Melanie C Bois, Luca Saba, Waleed Brinjikji, Luis Savastano, Giuseppe Lanzino, Amir Lerman

Open access · greenAbstract read
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2022. 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
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Carotid plaque characteristics by computed Tomography: A diagnostic accuracy systematic review.International journal of cardiology. Heart & vasculature · 2025
    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

8 authors at 3 institutions in 2 countries.

John C BensonDepartment of Radiology, 6915Mayo Clinic, USA.ORCID https://orcid.org/0000-0002-4038-5422
Valentina NardiDepartment of Cardiovascular Medicine, 6915Mayo Clinic, USA.
Melanie C BoisDepartment of Laboratory Medicine and Pathology, 6915Mayo Clinic, USA.
Luca SabaDepartment of Medical Sciences, 3111University of Cagliari, Italy.
Waleed BrinjikjiDepartment of Radiology, 6915Mayo Clinic, USA.ORCID https://orcid.org/0000-0001-5271-5524
Luis SavastanoDepartment of Neurosurgery, 6915Mayo Clinic, USA.
Giuseppe LanzinoDepartment of Neurosurgery, 6915Mayo Clinic, USA.
Amir LermanDepartment of Cardiovascular Medicine, 6915Mayo Clinic, USA.
Mayo Clinic in Arizona · USUniversity of Cagliari · ITWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing computed tomography angiography to differentiate between components of carotid atherosclerotic lesions remains largely elusive. This study sought to validate a semi-automated software for computed tomography angiography plaque analysis using histologic comparisons. MATERIALS AND

methodsA retrospective review was performed of consecutive patients that underwent a carotid endarterectomy, with pre-procedural computed tomography angiography imaging of the cervical arterial vasculature available for review. Images were evaluated using a commercially-available software package, which produced segmented analyses of intraplaque components (e.g. intraplaque hemorrhage, lipid-rich necrotic core, and calcifications). On imaging, each component was assessed in terms of its (1) presence or absence, and (2) both volume and proportion of the total plaque volume (if present). On histological evaluation of carotid endarterectomy specimens, each component was evaluated as an estimated proportion of total plaque volume.

resultsOf 80 included patients, 30 (37.5%) were female. The average age was 69.7 years (SD = 9.1). Based on imaging, intraplaque hemorrhage was the smallest contributor to plaque composition (1.2% of volumes on average). Statistically significant linear associations were noted between the proportion of intraplaque hemorrhage, lipid-rich necrotic core, and calcifications on histology and the volume of each component on imaging (

conclusionSemi-automated analyses of computed tomography angiography have limited diagnostic accuracy in the detection of intraplaque hemorrhage and lipid-rich necrotic core in carotid artery plaques. However, volumetric imaging measurements of different components corresponded with histologic analysis.

Indexed as

AtherosclerosisCalcinosisCarotid Artery DiseasesCarotid StenosisEndarterectomy, CarotidPlaque, AtheroscleroticAgedCarotid ArteriesComputed Tomography AngiographyFemaleHemorrhageHumansLipidsMagnetic Resonance ImagingMaleSoftwareLipidscarotidcomputed tomography angiographyplaqueStroke

Identifiers

PMID34397307
PMCPMC9185106
OpenAlexW3193567304

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.