Evidence map›Paper›PMID 41573321›Full record

ArticleStroke (Hoboken, N.J.)2025

Improving Measurement Accuracy of the Degree of Carotid In-Stent Stenosis Using CT Angiography: A Comparison With DSA.

Ikuko Uwano, Yoshiyuki Watanabe, Kyo Noguchi, Makoto Sasaki, Hiroshi Yamagami, Nobuyuki Sakai, CAS‐CARE Trial Investigators

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Ikuko UwanoDivision of Ultrahigh Field MRI Institute for Biomedical Sciences Iwate Medical University Yahaba Japan.
Yoshiyuki WatanabeDepartment of Radiology Shiga University of Medical Science Otsu Japan.
Kyo NoguchiDepartment of Radiology University of Toyama Toyama Japan.
Makoto SasakiDivision of Ultrahigh Field MRI Institute for Biomedical Sciences Iwate Medical University Yahaba Japan.
Hiroshi YamagamiDivision of Stroke Prevention and Treatment Institute of Medicine University of Tsukuba Tsukuba Japan.
Nobuyuki SakaiDepartment of Neurosurgery Seijinkai Shimizu Hospital Kyoto Japan.
CAS‐CARE Trial Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computed tomography angiography (CTA) tends to overestimate restenosis after cervical carotid stenting because of the substantial blooming artifacts from metallic stent materials. Hence, we propose a new measurement method to address this issue and assess the accuracy and reliability of evaluating the degree of in-stent stenosis (ISS) compared with digital subtraction angiography (DSA) as a post-hoc analysis of the CAS-CARE (Carotid Artery Stenting with the Cilostazol Addition for Restenosis) trial. Methods: Among the image data registered for the trial, 197 paired data sets of poststenting images obtained using both CTA and DSA were used. We measured the ISS degree according to the NASCET (North American Symptomatic Carotid Endarterectomy Trial) criteria with the conventional and new methods using the inner edge and midportion of the stent materials as a boundary to the lumen and compared the stenotic severities with those obtained from DSA. Results: The ISS degrees measured using CTA with the conventional method were remarkably higher than those measured using CTA with the new method and DSA (median, 49.5% versus 11.3% and 9.8%; Conclusion: Measurement using CTA with the midportion of the stent materials significantly improved the accuracy of the ISS degree, which was comparable to that using DSA.

Indexed as

artifactscarotid artery stenosiscarotid stentcomputed tomography angiographydigital subtraction angiography

Identifiers

PMID41573321
PMCPMC12697629

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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.