Evidence map›Paper›PMID 41728629›Full record

Reviewnpj biomedical innovations2026

Advances in mechanical assessments of in vivo human lumbar spine tissues with noninvasive imaging techniques.

Dawn M Elliott, Harrah R Newman, Mackenzie N Conner, Curtis L Johnson, Edward J Vresilovic

Abstract readReview
In one paragraph

Review in npj biomedical innovations, 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

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

1 citing paper in PubMed.

  1. Radiomics in spinal research: a narrative review.Frontiers in bioengineering and biotechnology · 2026
    Review
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

5 authors.

Dawn M ElliottDepartment of Biomedical Engineering, University of Delaware, Newark, DE USA.
Harrah R NewmanDepartment of Biomedical Engineering, University of Delaware, Newark, DE USA.
Mackenzie N ConnerDepartment of Biomedical Engineering, University of Delaware, Newark, DE USA.
Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, Newark, DE USA.
Edward J VresilovicDepartment of Biomedical Engineering, University of Delaware, Newark, DE USA.

Funding

Understanding synovial macrophage inflamm-aging within osteoarthritisP20GM139760 · NIGMS · UNIVERSITY OF DELAWARE · PI DAWN M ELLIOTT · 2021 to 2026
$19.1M
Disc Mechanics and Altered Loading in DegenerationR01AR050052 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI ELLIOTT, DAWN M · 2005 to 2024
$4.7M
NIAMS NIH HHS R01 AR050052NIGMS NIH HHS P20 GM139760
6 · The paper itself

Abstract

Low back pain (LBP) is the leading cause of disability worldwide, yet clinical imaging remains largely limited to anatomical assessment, providing little insight into the spinal tissue mechanics underlying most idiopathic cases. This review highlights emerging noninvasive imaging technologies that enable in vivo quantification of intervertebral disc and spinal muscle mechanics, including radiography, ultrasound imaging, ultrasound elastography, magnetic resonance imaging, and magnetic resonance elastography. These approaches move beyond static morphology to capture spinal kinematics, load-dependent deformation, and tissue material properties under physiologically relevant conditions. Despite substantial technical progress, translation is hindered by inter-individual variability, limited symptomatic cohorts, and challenges in separating age-related changes from pathology. We discuss opportunities to accelerate clinical impact through development of normative mechanical datasets, dynamic and load-dependent imaging paradigms, and integration of imaging-derived mechanical biomarkers with computational modeling and machine learning. Together, these innovations position mechanics-based imaging to enable objective diagnosis, improved patient stratification, and mechanism-driven treatment of low back pain.

Indexed as

EngineeringHealth careMedical research

Identifiers

PMID41728629
PMCPMC12916484

What OpenQuestion holds

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Registered trials

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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.