Evidence map›Paper›PMID 31247251›Full record

ArticleMagnetic resonance imaging2019

Improved carotid lumen delineation on non-contrast MR angiography using SNAP (Simultaneous Non-Contrast Angiography and Intraplaque Hemorrhage) imaging.

Haining Liu, Jie Sun, Daniel S Hippe, Wei Wu, Baocheng Chu, Niranjan Balu, Thomas Hatsukami, Chun Yuan

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2019. 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
0.5field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Multi-stage deep learning architecture for carotid artery segmentation and stenosis evaluation: comparative study with digital subtraction angiography.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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.

Haining LiuDepartment of Radiology, University of Washington, Seattle, WA 98109, United States. Electronic address: pinkney03@gmail.com.
Jie SunDepartment of Radiology, University of Washington, Seattle, WA 98109, United States.
Daniel S HippeDepartment of Radiology, University of Washington, Seattle, WA 98109, United States.
Wei WuDepartment of Radiology, University of Washington, Seattle, WA 98109, United States; Tongji Hospital, Tongji Medical College Affiliated to Huazhong University of Science and Technology, Department of Radiology, 1095 Jiefang Avenue, Wuhan 430000, China.
Baocheng ChuDepartment of Radiology, University of Washington, Seattle, WA 98109, United States.
Niranjan BaluDepartment of Radiology, University of Washington, Seattle, WA 98109, United States.
Thomas HatsukamiDepartment of Surgery, University of Washington, Seattle, WA 98109, United States.
Chun YuanDepartment of Radiology, University of Washington, Seattle, WA 98109, United States; Department of Bioengineering, University of Washington, Seattle, WA 98109, United States; Department of Bioengineering, Tsinghua University, Beijing 100084, China.
University of Washington · USTongji Hospital · CNTsinghua University · CN

Funding

Carotid Intraplaque Hemorrhage: MRI of Therapeutic Response and Clinical SequelaeR01HL103609 · NHLBI · UNIVERSITY OF WASHINGTON · PI HATSUKAMI, THOMAS, YUAN, CHUN · 2011 to 2021
$7.1M
Culprit Plaque in Acute Cerebral Infarction: A Histological and MRI AssessmentR01NS083503 · NINDS · UNIVERSITY OF WASHINGTON · PI HATSUKAMI, THOMAS · 2013 to 2015
$598k
NHLBI NIH HHS R01 HL103609NINDS NIH HHS R01 NS083503
6 · The paper itself

Abstract

purposeSimultaneous Non-Contrast Angiography and Intraplaque Hemorrhage (SNAP) was developed for improved imaging of intraplaque hemorrhage (IPH). Its signal polarity also allows for non-contrast time-of-flight MR angiography (TOF). This study sought to compare SNAP and TOF in delineating carotid lumen using contrast-enhanced MRA (CE-MRA) as the reference standard. MATERIALS AND

methodsTwo hundred and eighty-nine matched slices from 15 arteries among 11 subjects (9 males and 2 females, mean age of 72.1 ± 8.6 years) with luminal stenosis on CE-MRA were studied. Cross-sectional slices centered around the carotid bifurcation were matched between the three MRA techniques (SNAP, TOF, and CE-MRA) and classified as slices with or without plaque (focal wall thickness ≥ 1.5 mm) by additional black-blood vessel wall MRI. Lumen area was measured using a Sobel gradient map for TOF and CE-MRA (magnitude images) and a polarity map for SNAP. Agreement between techniques for measuring lumen area and percent stenosis was evaluated using intraclass correlation coefficient (ICC) and paired t-test.

resultsAmong the 289 matched slices, SNAP showed a higher agreement with CE-MRA than TOF for measuring lumen area (ICC: 0.93 vs. 0.83; p = 0.03). Agreement with CE-MRA was high for both SNAP and TOF in slices without plaque (ICC: 0.91 vs. 0.89; p > 0.05) but favored SNAP over TOF in slices with plaque (ICC: 0.93 vs. 0.80; p = 0.02).

conclusionSNAP, assisted by signal polarity information, demonstrated a higher agreement with CE-MRA in delineating carotid lumen compared to TOF, particularly in slices with plaque where flow conditions may be more complex.

Indexed as

Magnetic Resonance AngiographyAgedAged, 80 and overCarotid ArteriesCarotid StenosisConstriction, PathologicContrast MediaCross-Sectional StudiesFemaleHemorrhageHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMiddle AgedPlaque, AmyloidContrast MediaCarotid arteryImage segmentationIntraplaque hemorrhageMagnetic resonance imagingMR angiography

Identifiers

PMID31247251
PMCPMC6736638
OpenAlexW2955121795

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.