Evidence map›Paper›PMID 38514091›Full record

ArticleAJNR. American journal of neuroradiology2024

Implementation of a Clinical Vessel Wall MR Imaging Program at an Academic Medical Center.

Jae W Song, Megan Y Frame, Rob T Sellers, Connie Klahn, Kevin Fitzgerald, Bridget Pomponio, Mitchell D Schnall, Scott E Kasner, Laurie A Loevner

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Enhanced Visualization of Intracranial Cortical Arteries Using Deep Learning Reconstruction in Vessel Wall MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  2. Article
  3. 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

9 authors.

Jae W SongFrom the Department of Radiology (J.W.S., M.Y.F., R.T.S., B.P., M.D.S., L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania jae.song@pennmedicine.upenn.edu.ORCID 0000-0002-3127-6427
Megan Y FrameFrom the Department of Radiology (J.W.S., M.Y.F., R.T.S., B.P., M.D.S., L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Rob T SellersFrom the Department of Radiology (J.W.S., M.Y.F., R.T.S., B.P., M.D.S., L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Connie KlahnDepartment of Radiology, (C.K.), Penn Presbyterian Hospital, Philadelphia, Pennsylvania.
Kevin FitzgeraldDepartment of Radiology (K.F.), Penn Radnor, Philadelphia, Pennsylvania.
Bridget PomponioFrom the Department of Radiology (J.W.S., M.Y.F., R.T.S., B.P., M.D.S., L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Mitchell D SchnallFrom the Department of Radiology (J.W.S., M.Y.F., R.T.S., B.P., M.D.S., L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Scott E KasnerDepartment of Neurology (S.E.K.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-0418-6917
Laurie A LoevnerFrom the Department of Radiology (J.W.S., M.Y.F., R.T.S., B.P., M.D.S., L.A.L.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe slow adoption of new advanced imaging techniques into clinical practice has been a long-standing challenge. Principles of implementation science and the reach, effectiveness, adoption, implementation, maintenance (RE-AIM) framework were used to build a clinical vessel wall imaging program at an academic medical center. MATERIALS AND

methodsSix phases for implementing a clinical vessel wall MR imaging program were contextualized to the RE-AIM framework. Surveys were designed and distributed to MR imaging technologists and clinicians. Effectiveness was measured by surveying the perceived diagnostic value of vessel wall imaging among MR imaging technologists and clinicians, trends in case volumes in the clinical vessel wall imaging examination, and the number of coauthored vessel wall imaging-focused publications and abstracts. Adoption and implementation were measured by surveying stakeholders about workflow. Maintenance was measured by surveying MR imaging technologists on the value of teaching materials and online tip sheets. The Integration dimension was measured by the number of submitted research grants incorporating vessel wall imaging protocols. Feedback during the implementation phases and solicited through the survey is qualitatively summarized. Quantitative results are reported using descriptive statistics.

resultsSix phases of the RE-AIM framework focused on the following: 1) determining patient and disease representation, 2) matching resource availability and patient access, 3) establishing vessel MR wall imaging (VWI) expertise, 4) forming interdisciplinary teams, 5) iteratively refining workflow, and 6) integrating for maintenance and scale. Survey response rates were 48.3% (MR imaging technologists) and 71.4% (clinicians). Survey results showed that 90% of the MR imaging technologists agreed that they understood how vessel wall MR imaging adds diagnostic value to patient care. Most clinicians (91.3%) reported that vessel wall MR imaging results changed their diagnostic confidence or patient management. Case volumes of clinical vessel wall MR imaging performed from 2019 to 2022 rose from 22 to 205 examinations. Workflow challenges reported by MR imaging technologists included protocoling examinations and scan length. Feedback from ordering clinicians included the need for education about VWI indications, limitations, and availability. During the 3-year implementation period of the program, the interdisciplinary teams coauthored 27 publications and abstracts and submitted 13 research grants.

conclusionsImplementation of a clinical imaging program can be successful using the principles of the RE-AIM framework. Through iterative processes and the support of interdisciplinary teams, a vessel wall MR imaging program can be integrated through a dedicated clinical pipeline, add diagnostic value, support educational and research missions at an academic medical center, and become a center for excellence.

Indexed as

Academic Medical CentersMagnetic Resonance ImagingHumansImplementation ScienceMagnetic Resonance Angiography

Identifiers

PMID38514091
PMCPMC11288535

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.