Evidence map›Paper›PMID 41460482›Full record

SynthesisSkeletal radiology2026

Diagnostic accuracy of MRI-based synthetic CT compared to conventional CT in spinal and sacroiliac disorders: a systematic review.

Mohammadreza Elhaie, Abolfazl Koozari, Mohammadhossein Mozafari

Abstract readSystematic ReviewComparative Study
PubMed Publisher
In one paragraph

Synthesis in Skeletal radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Mohammadreza ElhaieDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran. mrelhaie@gmail.com.ORCID http://orcid.org/0009-0007-1186-353X
Abolfazl KoozariDepartment of Medical Physics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mohammadhossein MozafariSchool of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal and sacroiliac disorders, such as disc herniation, sacroiliitis, and spondylarthritis, require precise imaging for diagnosis. Conventional computed tomography (CT) is widely regarded as the reference standard for evaluating cortical bone and certain structural lesions due to its superior spatial resolution and accurate Hounsfield unit quantification, whereas MRI remains superior for marrow edema, soft tissue involvement, and early inflammatory changes. MRI-based synthetic CT (sCT) offers a radiation-free alternative by generating CT-like images from MRI data. This systematic review evaluates the diagnostic accuracy of sCT compared to conventional CT in these disorders.

methodsFollowing Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for diagnostic test accuracy studies (PRISMA-DTA) guidelines, we searched databases (PubMed, Embase, Cochrane, Scopus, Web of Science, CINAHL, IEEE Xplore) and gray literature. Eligible studies compared sCT to CT in patients with spinal/sacroiliac disorders, reporting metrics like sensitivity, specificity, and agreement. Two reviewers screened records, extracted data, and assessed risk of bias using QUADAS-2. Narrative synthesis was performed due to heterogeneity.

resultsTen studies (n = 1028 participants) were included, focusing on degenerative spinal conditions and axial spondyloarthritis. sCT showed sensitivity of 47-94% and specificity of 83->95% for lesions (e.g., erosions, ankylosis), often superior to MRI and comparable to CT. Geometric measurements (e.g., vertebral dimensions) had high concordance (ICC = 0.788-0.978). Inter-observer agreement was moderate to excellent (κ = 0.41-0.98). Risk of bias was low in four studies but high in six, mainly due to small samples and selection issues.

conclusionsMRI-based sCT demonstrates promising diagnostic accuracy for spinal and sacroiliac disorders, potentially reducing radiation exposure. However, methodological limitations warrant larger, multicenter trials for validation.

Indexed as

Magnetic Resonance ImagingSacroiliac JointSpinal DiseasesTomography, X-Ray ComputedHumansReproducibility of ResultsSensitivity and SpecificityCT-like MR imagesDiagnostic imagingMagnetic resonance imagingMRI-based synthetic CTSacroiliac jointSpineTomography X-ray computed

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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.