Evidence map›Paper›PMID 42265422›Full record

ArticleJournal of imaging informatics in medicine2026

Analytics Methodology to Quantify MRI Exam Utilization.

Sheena Y Chu, Ali Pirasteh, Scott B Reeder, John W Garrett

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Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sheena Y ChuMedical Physics, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA. schu48@wisc.edu.ORCID http://orcid.org/0000-0001-7874-0955
Ali PirastehMedical Physics, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.ORCID http://orcid.org/0000-0003-0797-4636
Scott B ReederMedical Physics, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.ORCID http://orcid.org/0000-0003-4728-8171
John W GarrettMedical Physics, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.ORCID http://orcid.org/0000-0002-8152-736X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying the utilization of clinical MRI exams is challenging. Using analytics tools to characterize MR exam utilization, improvement opportunities can be identified, and such tools are essential to improve the value of MRI. The purpose of this work is to develop and validate an analytics methodology that quantifies MRI exam utilization. An analytics methodology that quantifies MRI exam utilization was developed. To demonstrate the utility of this methodology, we quantified the impact of three types of interventions: 1. comparing similar protocols with the comprehensive protocol and focused surveillance protocol, 2. evaluating workflow changes with rectal cancer staging, and 3. targeted individual protocol modification with MR enterography. We successfully developed an analytics methodology to quantify MRI exam utilization. The three protocol interventions resulted in a reduction in exam time. The surveillance protocol reduced average exam time both when compared with screening protocols in the same year and when compared to patients' prior screening exam. For rectal cancer staging, the change in methodology of communication led to a 4:33 min decrease in average exam time. MR enterography protocol modification led to a 9:55 min exam time reduction. All interventions were shown to improve MRI workflow and significantly reduce exam time (P < 0.05). We successfully developed an analytics methodology for quantifying MRI utilization and demonstrated its value with three example use cases. We conclude that the application of analytics tools for assessment of MRI utilization provides an objective strategy that permits data-driven decisions to modify protocols and improve value.

Indexed as

AnalyticsInformaticsMagnetic resonance imagingUtilization

Identifiers

What OpenQuestion holds

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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.