Evidence map›Paper›PMID 40358863›Full record

ArticleAnnals of biomedical engineering2025

Resting Supine for 45 Minutes Yields Consistent Baseline Lumbar Intervertebral Disc Height in Asymptomatic Participants.

Nicole E Zimmer, James A Coppock, Andrzej S Kosinski, Charles E Spritzer, Adam P Goode, Louis E DeFrate

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2025. 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

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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.

Nicole E ZimmerDepartment of Orthopaedic Surgery, School of Medicine, Duke University, Durham, NC, 27710, USA.
James A CoppockDepartment of Orthopaedic Surgery, School of Medicine, Duke University, Durham, NC, 27710, USA.
Andrzej S KosinskiDepartment of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA.
Charles E SpritzerDepartment of Orthopaedic Surgery, School of Medicine, Duke University, Durham, NC, 27710, USA.
Adam P GoodeDepartment of Orthopaedic Surgery, School of Medicine, Duke University, Durham, NC, 27710, USA.
Louis E DeFrateDepartment of Orthopaedic Surgery, School of Medicine, Duke University, Durham, NC, 27710, USA. Lou.DeFrate@duke.edu.

Funding

Biomarkers to Advance Clinical Phenotypes of Low Back Pain (BACk)R01AR071440 · NIAMS · DUKE UNIVERSITY · PI Adam Goode · 2017 to 2026
$5.0M
In Vivo Knee Motion and ACL Biomechanics During Dynamic ActivitiesR01AR065527 · NIAMS · DUKE UNIVERSITY · PI DEFRATE, LOUIS E. · 2014 to 2024
$4.8M
Mechanical Biomarkers of Chronic Low Back PainR01AR075399 · NIAMS · DUKE UNIVERSITY · PI Louis E. DeFrate, Adam Goode · 2019 to 2026
$3.7M
Weight loss, in vivo cartilage mechanics, and joint healthR01AR074800 · NIAMS · DUKE UNIVERSITY · PI DEFRATE, LOUIS E. · 2019 to 2023
$1.8M
Mentoring in Musculoskeletal Pain PhenotypesK24AR079594 · NIAMS · DUKE UNIVERSITY · PI Adam Goode · 2022 to 2026
$927k
NIAMS NIH HHS K24 AR079594NIAMS NIH HHS R01 AR065527NIAMS NIH HHS R01 AR071440NIAMS NIH HHS R01 AR074800NIAMS NIH HHS R01 AR075399NIH HHS K24AR079594NIH HHS R01071440NIH HHS R01AR065527NIH HHS R01AR074800NIH HHS R01AR075399
6 · The paper itself

Abstract

purposeIntervertebral disc (IVD) height fluctuates diurnally as the spine is exposed to periods of high and low loading. Therefore, accounting for loading history prior to measuring in vivo IVD height is important when investigating IVD mechanics. However, there is a lack of consensus in the literature on in vivo lumbar IVD height recovery times under low loads. Therefore, we sought to determine whether a 45-minute supine rest period yields a consistent baseline for measuring in vivo lumbar IVD height across different times of day.

methodsNine asymptomatic participants underwent magnetic resonance (MR) imaging following a 45-minute supine rest, beginning at 7:00 AM on one visit day and mid-day (10:30 AM-12:30 PM) on a separate day. MR images were manually segmented, and the mean heights of the L1-L2 through L5-S1 IVDs were measured. Three MR scans were segmented in triplicate to evaluate segmentation repeatability.

resultsIntraclass correlation coefficients (ICCs) and root mean squared error (RMSE) were calculated for different times of day (ICC: 0.96; RMSE: 0.08 mm) and for segmentation repeatability (ICC: 0.97; RMSE: 0.08 mm).

conclusionICCs indicated excellent reliability, and RMSEs were below 1% of IVD height, suggesting that a 45-minute supine rest period provides a consistent baseline for measuring lumbar IVD height between 7:00 AM and 12:30 PM.

Indexed as

Intervertebral DiscLumbar VertebraeRestAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSupine PositionDiurnal variationImagingIntervertebral disc recoveryIn vivoMRISpine

Identifiers

PMID40358863
PMCPMC12286735

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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.