Evidence map›Paper›PMID 41669432›Full record

ArticleQuantitative imaging in medicine and surgery2026

Quantitative MRI assessment of paraspinal muscles and the psoas: associations with low back pain.

Cemre Ozenbas, Cemal Arman Ozturk, Tayfun Altinok

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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

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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

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

3 authors.

Cemre OzenbasDepartment of Radiology, Private Buca Hospital, Izmir Tinaztepe University, Izmir, Turkey.ORCID https://orcid.org/0000-0002-6688-5003
Cemal Arman OzturkRomatem Physical Therapy and Rehabilitation Center, Izmir, Turkey.ORCID https://orcid.org/0000-0002-4109-3675
Tayfun AltinokDepartment of Radiology, Private Buca Hospital, Izmir Tinaztepe University, Izmir, Turkey.ORCID https://orcid.org/0000-0002-8779-9382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low back pain (LBP) is a leading cause of disability worldwide, yet the contribution of paraspinal muscle fat infiltration remains uncertain. This study aimed to quantitatively assess paraspinal muscle fat fraction using the Iterative Decomposition of water and fat with Echo Asymmetry and Least-squares estimation for Imaging Quantification (IDEAL-IQ) sequence in patients with LBP and to explore its relationships with pain severity, disability, and demographic factors such as age, sex, and body mass index (BMI). Methods: This retrospective cross-sectional study included 124 patients (64 males, 60 females; mean age, 38.3±12.6 years). Fat fraction values of the multifidus, erector spinae, and psoas muscles were measured bilaterally at L1-L2 through L4-L5 levels using IDEAL-IQ. Pain and disability were assessed with the Visual Analog Scale (VAS) and Oswestry Disability Index (ODI). Correlation and multiple regression analyses were conducted to determine associations, adjusting for age, sex, and BMI. Interobserver agreement between two radiologists was evaluated using the intraclass correlation coefficient (ICC). Results: Women demonstrated consistently higher muscle fat fractions than men across all lumbar levels. In females, multifidus fat fraction ranged from 10.1% to 10.5% ( Conclusions: Quantitative assessment of paraspinal muscles and the psoas muscle fat fraction using IDEAL-IQ revealed significant associations with pain severity and disability, independent of demographic factors. If validated by larger prospective studies, incorporating IDEAL-IQ sequences into routine lumbar magnetic resonance imaging (MRI) protocols and reporting paraspinal muscle fat fraction may contribute to a more comprehensive and quantitative evaluation of patients with LBP.

Indexed as

fat fractionIterative Decomposition of water and fat with Echo Asymmetry and Least-squares estimation for Imaging Quantification (IDEAL-IQ)Low back pain (LBP)paraspinal musclesquantitative magnetic resonance imaging (quantitative MRI)

Identifiers

PMID41669432
PMCPMC12883537

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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.