Evidence map›Paper›PMID 26846926›Full record

ArticleAJNR. American journal of neuroradiology2016

Optimal MR Plaque Imaging for Cervical Carotid Artery Stenosis in Predicting the Development of Microembolic Signals during Exposure of Carotid Arteries in Endarterectomy: Comparison of 4 T1-Weighted Imaging Techniques.

Y Sato, K Ogasawara, S Narumi, M Sasaki, A Saito, E Tsushima, T Namba, M Kobayashi, K Yoshida, Y Terayama and 1 more

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Near-infrared spectroscopy carotid plaque characteristics and cerebral embolism in carotid artery stenting.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Quantitative TRadiological physics and technology · 2018
    Article
  9. 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

11 authors at 4 institutions in 2 countries.

Y SatoFrom the Departments of Neurosurgery (Y.S., K.O., T.N., M.K., K.Y., A.O.).
K OgasawaraFrom the Departments of Neurosurgery (Y.S., K.O., T.N., M.K., K.Y., A.O.) kuogasa@iwate-med.ac.jp.
S NarumiNeurology and Gerontology (S.N., A.S., Y.T.).
M SasakiDivision of Ultra-High Field MRI and Department of Radiology (M.S.), Iwate Medical University School of Medicine, Morioka, Japan.ORCID 0000-0002-3108-4361
A SaitoNeurology and Gerontology (S.N., A.S., Y.T.).
E TsushimaGraduate School of Health Sciences (E.T.), Hirosaki University, Hirosaki, Japan.
T NambaFrom the Departments of Neurosurgery (Y.S., K.O., T.N., M.K., K.Y., A.O.).
M KobayashiFrom the Departments of Neurosurgery (Y.S., K.O., T.N., M.K., K.Y., A.O.).
K YoshidaFrom the Departments of Neurosurgery (Y.S., K.O., T.N., M.K., K.Y., A.O.).
Y TerayamaNeurology and Gerontology (S.N., A.S., Y.T.).
A OgawaFrom the Departments of Neurosurgery (Y.S., K.O., T.N., M.K., K.Y., A.O.).
Norwegian Womens Public Health Association · NONational Center for Geriatrics and Gerontology · JPHirosaki University · JPIwate Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePreoperative identification of plaque vulnerability may allow improved risk stratification for patients considered for carotid endarterectomy. The present study aimed to determine which plaque imaging technique, cardiac-gated black-blood fast spin-echo, magnetization-prepared rapid acquisition of gradient echo, source image of 3D time-of-flight MR angiography, or noncardiac-gated spin-echo, most accurately predicts development of microembolic signals during exposure of carotid arteries in carotid endarterectomy. MATERIALS AND

methodsEighty patients with ICA stenosis (≥70%) underwent the 4 sequences of preoperative MR plaque imaging of the affected carotid bifurcation and then carotid endarterectomy under transcranial Doppler monitoring of microembolic signals in the ipsilateral middle cerebral artery. The contrast ratio of the carotid plaque was calculated by dividing plaque signal intensity by sternocleidomastoid muscle signal intensity.

resultsMicroembolic signals during exposure of carotid arteries were detected in 23 patients (29%), 3 of whom developed new neurologic deficits postoperatively. Those deficits remained at 24 hours after surgery in only 1 patient. The area under the receiver operating characteristic curve to discriminate between the presence and absence of microembolic signals during exposure of the carotid arteries was significantly greater with nongated spin-echo than with black-blood fast spin-echo (difference between areas, 0.258; P < .0001), MPRAGE (difference between areas, 0.106; P = .0023), or source image of 3D time-of-flight MR angiography (difference between areas, 0.128; P = .0010). Negative binomial regression showed that in the 23 patients with microembolic signals, the contrast ratio was associated with the number of microembolic signals only in nongated spin-echo (risk ratio, 1.36; 95% confidence interval, 1.01-1.97; P < .001).

conclusionsNongated spin-echo may predict the development of microembolic signals during exposure of the carotid arteries in carotid endarterectomy more accurately than other MR plaque imaging techniques.

Indexed as

AgedArea Under CurveCarotid ArteriesCarotid StenosisEmbolismEndarterectomy, CarotidFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPlaque, AtheroscleroticROC Curve

Identifiers

PMID26846926
PMCPMC7963538
OpenAlexW2309023516

What OpenQuestion 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 OpenQuestion graph.