Evidence map›Paper›PMID 41669217›Full record

ArticleIndian journal of orthopaedics2026

Reliability of a Method to Quantify the Cortical Thickness of the Posterolateral Vertebral Arch on MRI.

Richard Saw, Kevin Sims, Anna Saw, Jeremy Witchalls, David Connell, Alex Kountouris, Gordon Waddington, Greg Lovell, John Orchard

Abstract read
In one paragraph

Article in Indian journal of orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Richard SawAustralian Institute of Sport, Leverrier St, Bruce, ACT Australia.
Kevin SimsSchool of Health and Rehabilitation Sciences, University of Queensland, St Lucia, QLD Australia.
Anna SawCricket Australia, Melbourne, VIC Australia.
Jeremy WitchallsResearch Institute for Sport and Exercise, University of Canberra, Bruce, ACT Australia.
David ConnellImaging @ Olympic Park, Melbourne, VIC Australia.
Alex KountourisCricket Australia, Melbourne, VIC Australia.
Gordon WaddingtonResearch Institute for Sport and Exercise, University of Canberra, Bruce, ACT Australia.
Greg LovellResearch Institute for Sport and Exercise, University of Canberra, Bruce, ACT Australia.
John OrchardCricket Australia, Melbourne, VIC Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lumbar stress fractures are very common lesions in young athletes participating in sport and are generally now diagnosed on MRI scanning. An ability to assess cortical thickness would help understand risk for future injury. This paper aims to establish a method for quantifying cortical thickness in the posterolateral vertebral arch of the lumbar spine on MRI scans. Methods: Methods for measuring the cortical thickness of the pars, pedicle, and lamina of the lumbar vertebra were developed from existing methods in other bones and expert opinion. MRI images of elite cricket pace bowlers were retrospectively reviewed in a development phase ( Results: Intra-rater reliability was overall excellent (intra-class correlation coefficient (ICC) 0.740-0.992). Inter-rater reliability ranged from fair to excellent (ICC 0.515-0.954), with lower reliability for the total pedicle cortex. Lower reliability was attributable to challenges of identifying the pedicle cortex and the more oblique orientation of the L5 vertebrae as the lumbar spine becomes more lordotic. Conclusion: This paper establishes a new manual method to quantify cortical thickness in the posterolateral vertebral arch of the lumbar spine on MRI scans. This work supports future advancements by providing a reference standard for potential automation using artificial intelligence and to understand how cortical thickness may be related to adaptation and injury in athletes at high risk of lumbar bone stress injury.

Indexed as

Bone stressLumbar spineParsSpondylolysisStress fracture

Identifiers

PMID41669217
PMCPMC12883601

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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.