Evidence map›Paper›PMID 29688158›Full record

Observational studyRadiology2018

Prospective Comparison of the Diagnostic Accuracy of MR Imaging versus CT for Acute Appendicitis.

Michael D Repplinger, Perry J Pickhardt, Jessica B Robbins, Douglas R Kitchin, Tim J Ziemlewicz, Scott J Hetzel, Sean K Golden, John B Harringa, Scott B Reeder

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
–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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Rapid MRI Abdomen for Assessment of Clinically Suspected Acute Appendicitis in the General Adult Population: a Systematic Review.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Pooled it
  2. Magnetic resonance imaging (MRI) for diagnosis of acute appendicitis.The Cochrane database of systematic reviews · 2021
    Pooled it
  3. Pooled it
  4. Computed tomography for diagnosis of acute appendicitis in adults.The Cochrane database of systematic reviews · 2019
    Pooled it
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Review
  11. Article
  12. MR Imaging-based Evaluation of Mesenteric Ischemia Caused by Strangulated Small Bowel Obstruction and Mesenteric Venous Occlusion: An Experimental Study Using Rabbits.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2020
    Article
  13. Article
  14. Observational
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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.

Michael D RepplingerFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.ORCID 0000-0002-6518-3907
Perry J PickhardtFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.ORCID 0000-0002-5534-8202
Jessica B RobbinsFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.
Douglas R KitchinFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.
Tim J ZiemlewiczFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.
Scott J HetzelFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.
Sean K GoldenFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.
John B HarringaFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.
Scott B ReederFrom the Departments of Emergency Medicine (M.D.R., S.K.G., J.B.H., S.B.R.), Radiology (M.D.R., P.J.P., J.B.R., D.R.K., T.J.Z., S.B.R.), Biostatistics and Medical Informatics (S.J.H.), Medicine (S.B.R.), Medical Physics (S.B.R.), and Biomedical Engineering (S.B.R.), University of Wisconsin-Madison, 800 University Bay Dr, Suite 310, Mail Code 9123, Madison, WI 53705.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Institutional Career Development CoreKL2TR002374 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Bo Liu, Marin Leigh Schweizer · 2017 to 2026
$9.7M
Institutional Clinical and Translational Science AwardKL2TR000428 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$6.2M
Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During PubertyK24DK102595 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2018
$927k
Identifying Barriers and Facilitators to the Implementation of Radiation-Free Imaging Protocols in the Emergency DepartmentK08DK111234 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REPPLINGER, MICHAEL DEAN · 2016 to 2018
$488k
NCATS NIH HHS KL2 TR000428NCATS NIH HHS KL2 TR002374NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NIDDK NIH HHS K08 DK111234NIDDK NIH HHS K24 DK102595
6 · The paper itself

Abstract

Purpose To compare the accuracy of magnetic resonance (MR) imaging with that of computed tomography (CT) for the diagnosis of acute appendicitis in emergency department (ED) patients. Materials and Methods This was an institutional review board-approved, prospective, observational study of ED patients at an academic medical center (February 2012 to August 2014). Eligible patients were nonpregnant and 12- year-old or older patients in whom a CT study had been ordered for evaluation for appendicitis. After informed consent was obtained, CT and MR imaging (with non-contrast material-enhanced, diffusion-weighted, and intravenous contrast-enhanced sequences) were performed in tandem, and the images were subsequently retrospectively interpreted in random order by three abdominal radiologists who were blinded to the patients' clinical outcomes. Likelihood of appendicitis was rated on a five-point scale for both CT and MR imaging. A composite reference standard of surgical and histopathologic results and clinical follow-up was used, arbitrated by an expert panel of three investigators. Test characteristics were calculated and reported as point estimates with 95% confidence intervals (CIs). Results Analysis included images of 198 patients (114 women [58%]; mean age, 31.6 years ± 14.2 [range, 12-81 years]; prevalence of appendicitis, 32.3%). The sensitivity and specificity were 96.9% (95% CI: 88.2%, 99.5%) and 81.3% (95% CI: 73.5%, 87.3%) for MR imaging and 98.4% (95% CI: 90.5%, 99.9%) and 89.6% (95% CI: 82.8%, 94.0%) for CT, respectively, when a cutoff point of 3 or higher was used. The positive and negative likelihood ratios were 5.2 (95% CI: 3.7, 7.7) and 0.04 (95% CI: 0, 0.11) for MR imaging and 9.4 (95% CI: 5.9, 16.4) and 0.02 (95% CI: 0.00, 0.06) for CT, respectively. Receiver operating characteristic curve analysis demonstrated that the optimal cutoff point to maximize accuracy was 4 or higher, at which point there was no difference between MR imaging and CT. Conclusion The diagnostic accuracy of MR imaging was similar to that of CT for the diagnosis of acute appendicitis.

Indexed as

Acute DiseaseAdolescentAdultAgedAged, 80 and overAppendicitisAppendixChildDiagnosis, DifferentialFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesReproducibility of Results

Identifiers

PMID29688158
PMCPMC6067821

What OpenQuestion holds

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Registered trials

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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.