Evidence map›Paper›PMID 41691365›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

MRI-Based Assessment of Trunk and Hip Muscle Morphology and Strength in Chronic Low Back Pain.

Danijel Ivanac, Hrvoje Vlahović, Sandra Rusac Kukić, Antonija Ružić Baršić, Andrica Lekić, Juraj Arbanas

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Danijel IvanacDepartment of Orthopeadics and Traumatology, KBC Rijeka, Rijeka, Croatia.ORCID 0000-0003-3544-1159
Hrvoje VlahovićDepartment of Physiotherapy, Faculty of Health Studies, University of Rijeka, Rijeka, Croatia.ORCID 0000-0003-2508-707X
Sandra Rusac KukićDepartment of Rheumatology, Rehabilitation, and Physical Medicine, Hospital for Medical Rehabilitation of Hearth and Lung Diseases and Rheumatism "Thalassotherapia-Opatija", Opatija, Croatia.ORCID 0000-0002-9538-3424
Antonija Ružić BaršićHospital for Medical Rehabilitation of Heart and Lung Diseases and Rheumatism "Thalassotherapia-Opatija", Opatija, Croatia.ORCID 0000-0002-3035-3363
Andrica LekićDepartment of Basic Medical Sciences, Faculty of Health Studies, University of Rijeka, Rijeka, Croatia.ORCID 0000-0002-6175-635X
Juraj ArbanasDepartment of Anatomy, School of Medicine, University of Rijeka, Rijeka, Croatia.ORCID 0000-0001-5646-6182

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 relationship between muscle morphology, strength imbalances, and chronic LBP remains incompletely understood. This study investigated cross-sectional area (CSA) and strength differences in trunk and hip muscles between chronic LBP patients and healthy controls. MATERIAL AND METHODS Fifty patients with chronic LBP (age 53±13.5) and 30 (age 42.3±8.3) healthy controls underwent lumbosacral magnetic resonance imaging to measure CSA of paravertebral (psoas major, quadratus lumborum, erector spinae, multifidus), abdominal (rectus abdominis), and hip muscles (iliacus, gluteus maximus). Isokinetic dynamometry assessed trunk and hip flexor/extensor strength. Statistical analyses included t tests confirmed with Cohen's d and Pearson correlations. RESULTS Patients with LBP showed smaller psoas major CSA at L2/L5 and rectus abdominis CSA at S2/S3 than controls (all P<0.05), with no differences in quadratus lumborum, erector spinae, multifidus, iliacus, or gluteus maximus. Trunk flexor and extensor strength was lower in LBP patients, with a reduced trunk flexor/trunk extensor ratio (0.77±0.20 vs 0.96±0.16, P<0.001); hip flexor/extensor ratios showed a trend toward imbalance (left hip flexor/hip extensor: 0.60±0.15 vs 0.67±0.12, P=0.047). CSA-strength correlations were stronger in patients with LBP, particularly for the psoas major (r=0.42-0.58, P<0.05). CONCLUSIONS Chronic LBP is associated with selective atrophy of the psoas major and rectus abdominis, alongside significant strength deficits in trunk and hip flexors. CSA-strength correlations in LBP patients suggest morphological changes exacerbate functional imbalances, contributing to LBP pathophysiology. These findings highlight the importance of targeted rehabilitation addressing trunk and hip musculature to restore strength symmetry and mitigate disability.

Indexed as

HipLow Back PainMuscle, SkeletalMuscle StrengthAdultCase-Control StudiesChronic DiseaseChronic PainFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPsoas MusclesTorso

Identifiers

PMID41691365
PMCPMC12918766

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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.