Evidence map›Paper›PMID 38980403›Full record

ArticleAbdominal radiology (New York)2024

Image quality comparison of 1.5T and 3T prostate MRIs of the same post-hip arthroplasty patients: multi-rater assessments including PI-QUAL version 2.

Hirotsugu Nakai, Naoki Takahashi, Mark D Sugi, Clinton V Wellnitz, Cole P Thompson, Akira Kawashima

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hirotsugu NakaiDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Naoki TakahashiDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Mark D SugiDepartment of Radiology, Mayo Clinic Arizona, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA.
Clinton V WellnitzDepartment of Radiology, Mayo Clinic Arizona, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA.
Cole P ThompsonDepartment of Radiology, Mayo Clinic Arizona, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA.
Akira KawashimaDepartment of Radiology, Mayo Clinic Arizona, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA. kawashima.akira@mayo.edu.ORCID 0000-0003-4686-8369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare the image quality of 1.5T and 3T prostate MRIs of the same post-hip arthroplasty patients, with a specific focus on the degree of susceptibility artifacts.

methodsThis single-center retrospective study included post-hip arthroplasty patients who underwent 1.5T prostate MRIs between 2021 and 2023, as well as comparative 3T prostate MRIs. Three blinded abdominal radiologists retrospectively reviewed their diffusion-weighted imaging (DWI, 50 s/mm

resultsTwenty pairs of 1.5T and 3T prostate MRI examinations from 20 unique patients were included. The DWI susceptibility artifact score at 1.5T was significantly higher than at 3T (mean score ± standard deviation, 2.80 ± 0.41 vs. 2.35 ± 0.93, p = 0.014). In contrast, no significant differences were observed in the susceptibility artifact scores in T2WI and DCE, or in the PI-QUAL score. The inter-reader agreement in the susceptibility artifact score was moderate (multi-rater generalized kappa: 0.60) in DWI, perfect in T2WI (not applicable), and substantial (0.65) in DCE. The inter-reader agreement was fair (0.27) in the PI-QUAL score.

conclusionUsing 1.5T scanners may be preferable to reduce susceptibility artifacts from hip prostheses in DWI.

Indexed as

Arthroplasty, Replacement, HipArtifactsMagnetic Resonance ImagingAgedContrast MediaHumansMaleMiddle AgedProstateProstatic NeoplasmsRetrospective StudiesContrast MediaArtifactsHip prosthesisMagnetic resonance imagingProstate cancer

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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.