Evidence map›Paper›PMID 33772641›Full record

ReviewPediatric radiology2021

Magnetic resonance imaging quality control, quality assurance and quality improvement.

Gayathri Sreedher, Mai-Lan Ho, Mark Smith, Unni K Udayasankar, Seretha Risacher, Otto Rapalino, Mary-Louise C Greer, Andrea S Doria, Michael S Gee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Key Performance Indicators Applied in Medicine.International archives of otorhinolaryngology · 2025
    Article
  2. Article
  3. Automated quality control of small animal MR neuroimaging data.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. 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.

Gayathri SreedherDepartment of Radiology, Akron Children's Hospital, One Perkins Square, Akron, OH, 44308, USA. doctor.sgayathri@gmail.com.ORCID http://orcid.org/0000-0002-9219-7941
Mai-Lan HoDepartment of Radiology, Nationwide Children's Hospital, Columbus, OH, USA.
Mark SmithDepartment of Radiology, Nationwide Children's Hospital, Columbus, OH, USA.
Unni K UdayasankarDepartment of Medical Imaging, University of Arizona College of Medicine, Phoenix, AZ, USA.
Seretha RisacherDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Otto RapalinoDepartment of Radiology, Harvard Medical School, Boston, MA, USA.
Mary-Louise C GreerDepartment of Diagnostic Imaging, The Hospital for Sick Children, Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
Andrea S DoriaDepartment of Diagnostic Imaging, The Hospital for Sick Children, Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
Michael S GeeDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality in MR imaging is a comprehensive process that encompasses scanner performance, clinical processes for efficient scanning and reporting, as well as data-driven improvement involving measurement of key performance indicators. In this paper, the authors review this entire process. This article provides a framework for establishing a successful MR quality program. The collective experiences of the authors across a spectrum of pediatric hospitals is summarized here.

Indexed as

Quality Assurance, Health CareQuality ImprovementChildHumansMagnetic Resonance ImagingQuality ControlChildrenMagnetic resonance imagingQuality assuranceQuality controlQuality improvementStandards

Identifiers

PMID33772641

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.