Evidence map›Paper›PMID 40061886›Full record

ArticleJOR spine2025

DeVa (Decay Variance): A Novel Score Calculated via Postprocessing the Changes in Signal Intensity of an Intervertebral Disc in a T2* Multi-Echo Magnetic Resonance Image Can Quantify Painful and Degenerate Lumbar Vertebral Discs.

Stone Sima, Alisha Sial, Suhani Sharma, Dheera Ananthakrishnan, Jeff Kuan, Ashish Diwan

Abstract read
In one paragraph

Article in JOR spine, 2025. 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. 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

6 authors.

Stone SimaSpine Labs, Department of Orthopedic Surgery, St George and Sutherland Clinical School University of New South Wales Sydney Australia.ORCID https://orcid.org/0000-0002-1675-1496
Alisha SialSpine Labs, Department of Orthopedic Surgery, St George and Sutherland Clinical School University of New South Wales Sydney Australia.
Suhani SharmaSpine Labs, Department of Orthopedic Surgery, St George and Sutherland Clinical School University of New South Wales Sydney Australia.
Dheera AnanthakrishnanDepartment of Orthopaedic Surgery Emory University Hospital Atlanta Georgia USA.ORCID https://orcid.org/0000-0001-6420-7252
Jeff KuanKogarah Imaging Centre, Department of Radiology St George Hospital Sydney Australia.
Ashish DiwanSpine Labs, Department of Orthopedic Surgery, St George and Sutherland Clinical School University of New South Wales Sydney Australia.ORCID https://orcid.org/0000-0003-1037-8421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Low back pain (LBP), a global disability leader, is often linked to intervertebral disc (IVD) degeneration. Traditional diagnostics like T2-weighted MRI provide qualitative but imprecise evaluations. A novel post-processing MRI technique, Decay Variance (DeVa), has shown promise in differentiating degenerate from healthy discs in animal studies. DeVa quantifies IVD degeneration by analyzing variations in signal intensities within each voxel in a T2* 2D FLASH multi-echo MRI sequence. This study aimed to validate DeVa clinically and explore its correlation with pain severity. Methods: A cross-sectional study included 77 chronic LBP patients and 8 controls, who underwent T2-weighted and T2* 2D FLASH MRI. DeVa scores (worst and sum of all discs) were recorded, alongside traditional assessments like disc bulge, stenosis, high-intensity zones, and Pfirrmann grade. Pain severity was measured with a numerical rating scale. Statistical analyses included Pearson correlation, Results: DeVa scores correlated strongly with Pfirrmann grade ( Discussion: DeVa offers a quantitative, noninvasive approach to assessing IVD degeneration, showing strong correlations with disc health and pain. It demonstrates enhanced sensitivity over traditional MRI, enabling the identification of pain-generating discs and informing personalized treatment strategies for chronic LBP. Further validation in larger populations is needed.

Indexed as

decay varianceintervertebral disc degenerationlow back painnovel MRI postprocessingsignal intensity

Identifiers

PMID40061886
PMCPMC11885163

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.