Evidence map›Paper›PMID 30861249›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI.

Jin Liu, Jie Sun, Niranjan Balu, Marina S Ferguson, Jinnan Wang, William S Kerwin, Daniel S Hippe, Amy Wang, Thomas S Hatsukami, Chun Yuan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.1field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  7. Review
  8. Review
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

10 authors at 1 institution in 1 country.

Jin LiuDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Jie SunDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Niranjan BaluDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Marina S FergusonDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Jinnan WangDepartment of Radiology, University of Washington, Seattle, Washington, USA.
William S KerwinDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Daniel S HippeDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Amy WangDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Thomas S HatsukamiDepartment of Surgery, University of Washington, Seattle, Washington, USA.
Chun YuanDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
University of Washington · US

Funding

NHLBI NIH HHS R01 HL103609NINDS NIH HHS R01 NS083503NINDS NIH HHS R01 NS092207NINDS NIH HHS R56 NS092207
6 · The paper itself

Abstract

backgroundPresence of intraplaque hemorrhage (IPH) is a known risk factor for stroke and plaque progression. Accurate and reproducible measurement of IPH volume are required for further risk stratification. PURPOSE: To develop a semiautomatic method to measure carotid IPH volume. STUDY TYPE: Retrospective. POPULATION: Patients scheduled for carotid endarterectomy and patients with 16-79% asymptomatic carotid stenosis by ultrasound. FIELD STRENGTH: 3T. SEQUENCE: Simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) MRI. ASSESSMENT: A semiautomated volumetric measurement of IPH using signal intensity thresholding of 3D SNAP volume was implemented. Fourteen carotid endarterectomy patients were enrolled to determine the signal intensity threshold of IPH using histology. Thirty-three patients with 16-79% asymptomatic stenosis were scanned twice within 1 month to evaluate reproducibility. The normalized SNAP intensity with the highest Youden index for predicting IPH on histology was used for thresholding. Scan-rescan reproducibility of IPH measurement was assessed using the intraclass correlation coefficient (ICC) and coefficient of variation (CV). STATISTICAL TESTS: Receiver operating characteristic curve, area under the curve, Cohen's kappa, intraclass correlation coefficient, coefficient of variance (CV), and paired t-test.

resultsIPH detection by the algorithm had substantial agreement with manual review (kappa: 0.92; 95% confidence interval [CI]: 0.83, 1.00) and moderate agreement with histology (kappa: 0.55; 95% CI: 0.34, 0.68). IPH volume measurements by the algorithm were strongly correlated with histology (Spearman's rho = 0.76, P = 0.002). IPH measurements were also reproducible, with ICCs of 0.86 (95% CI: 0.57, 0.96), 0.77 (95% CI: 0.32, 0.94), and 0.99 (95% CI: 0.93, 1.00) for maximum/mean normalized intensity and IPH volume, respectively. The corresponding CVs were 10.6%, 5.2%, and 11.8%. DATA

conclusionIPH volume measurements on SNAP MRI are highly reproducible using semiautomatic measurement. Level of Evidence 2 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2019;50:1055-1062.

Indexed as

AgedCarotid ArteriesFemaleHemorrhageHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMalePlaque, AtheroscleroticReproducibility of ResultsRetrospective Studies3D volumecarotidintraplaque hemorrhageSNAP MRIvessel wall MRI

Identifiers

PMID30861249
PMCPMC6742582
OpenAlexW2921849889

What Socratic holds

Textmetadata
LicenceTDM
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.