Evidence map›Paper›PMID 28243350›Full record

ArticleJournal of vascular and interventional neurology2017

Assessment of Skeletal Muscle Perfusion using Contrast-Enhanced Ultrasonography: Technical Note.

Adnan I Qureshi, Muhammad A Saleem, Emrah Aytac, Shawn S Wallery

Open access · greenAbstract read
In one paragraph

Article in Journal of vascular and interventional neurology, 2017. 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
0.1field-weighted citation impact, top 53% 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, 3 citations in OpenAlex.

  1. Contrast-Enhanced Ultrasound of Muscle Perfusion May Indicate Patient Response to Left Ventricular Assist Device Therapy.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2021
    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

4 authors at 1 institution in 1 country.

Adnan I QureshiZeenat Qureshi Stroke Institute, St. Cloud, MN, USA; Rockford Memorial Hospital, Rockford, IL, USA.
Muhammad A SaleemZeenat Qureshi Stroke Institute, St. Cloud, MN, USA; Rockford Memorial Hospital, Rockford, IL, USA.
Emrah AytacZeenat Qureshi Stroke Institute, St. Cloud, MN, USA; Rockford Memorial Hospital, Rockford, IL, USA.
Shawn S WalleryRockford Memorial Hospital, Rockford, IL, USA.
Javon Bea Hospital-Rockton · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntravenous contrast-enhanced ultrasonography is a recently developed technique for assessment of tissue perfusion, but has not been used for assessment of skeletal muscle perfusion.

methodsWe studied a 42-year-old woman in whom myonecrosis was suspected due to systemic vasculitis and ischemia. The biceps brachii (right) and quadriceps femoris (vastus medialis) on right-hand side and subsequently left-hand side were imaged. Intravenous bolus of activated perflutren lipid microspheres was injected and B-Flow color mode (brown color) was used within a selected region of interest to image the passage of contrast through muscle parenchyma throughout three cardiac cycles.

resultsVisual interpretation of muscle perfusion was performed based on the maximal intensity of contrast in the muscle, and the speed of contrast replenishment. No deficits were noted in the perfusion pattern. The arterial phase demonstrated stellate vascularity, centrifugal filling, and homogeneous hypervascularity at peak enhancement.

conclusionsThe bolus of contrast resulted in good signal persistence and satisfactory imaging for multiple muscle groups.

Indexed as

contrastlipid microspheresmuscle ischemiaMuscle perfusionmyonecrosisultrasonography

Identifiers

PMID28243350
PMCPMC5317291
OpenAlexW2611341702

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.