Evidence map›Paper›PMID 42701156›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2026

Multi-center validation of automated CT-based L1 vertebral Hounsfield unit.

Perry J Pickhardt, Glen M Blake, Matthew H Lee, Andrew D Rule, Ayis T Pyrros, Marcio A B C Rockenbach, Ross W Filice, Benjamin E Rush, Neil C Binkley, John W Garrett

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In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 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

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

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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

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5 · Who and what money

Authors and funding

10 authors.

Perry J PickhardtThe University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA. ppickhardt2@uwhealth.org.ORCID http://orcid.org/0000-0002-5534-8202
Glen M BlakeDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, UK.
Matthew H LeeThe University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA.
Andrew D RuleMayo Clinic, Rochester, MN, US.
Ayis T PyrrosDuly Health and Care, Downers Grove, IL, USA.
Marcio A B C RockenbachMass General Brigham, Boston, MA, USA.
Ross W FiliceMedStar Georgetown University Hospital, Washington, DC, USA.
Benjamin E RushThe University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA.
Neil C BinkleyThe University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA.
John W GarrettThe University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave., Madison, WI, 53792-3252, USA.

Funding

A population-based study of deep learning derived organ and tissue measures for accelerated aging using repurposed abdominal CT imagesR01AG081223 · NIA · MAYO CLINIC ROCHESTER · PI ANDREW David RULE, JENNIFER LYNN ST SAUVER · 2023 to 2026
$2.7M
NIA NIH HHS R01 AG081223
6 · The paper itself

Abstract

This study assessed variation of automated CT-based L1 trabecular attenuation for opportunistic CT screening across multiple U.S.-based healthcare systems. L1 HU measurements demonstrated similar behavior among the five sites, including relative relationships according to age, sex, race, and CT scanner, and < 100 HU was generalizable for practical opportunistic CT screening and diagnosis. PURPOSE: To assess variability of automated population-based L1 trabecular attenuation (HU) measurement at abdominal CT among five US-based medical systems and consider a practical 100 HU threshold for opportunistic CT-based osteoporosis screening and diagnosis.

methodsHeterogeneous adult patient cohorts undergoing abdominal CT evaluation for any indication at five US medical systems were included for L1 vertebral body trabecular attenuation (L1 HU) assessment using a validated AI pipeline that places a fully automated ROI. Exclusion criteria included IV contrast, non-120 kVp setting, and non-physiologic outliers. All results were normalized to White patient ranges after age and sex matching. Thresholds of 100 HU and 120 HU were considered.

resultsThe final multi-center cohort included 123,001 adults (51.1% women, 79.6% White). For White women age 50+, 15% had L1 attenuation values ≤ 100 HU, and 30% ≤ 120 HU. For White men, the equivalent percentages were 12% and 26%; for Black women, 7% and 17%, and for Black men, 5% and 11%. For 20-49-year-olds, only about 1% were below the L1 100 HU threshold. L1 HU measurements showed similar distributions among the five medical systems and similar relative relationships according to age, sex, race, and CT scanner. After Bonferroni correction, none of the differences among different medical systems were significant.

conclusionFor opportunistic CT screening and diagnosis, automated assessment of L1 trabecular attenuation was generalizable in a multi-center setting. A 100 HU threshold maintains specificity with a prevalence that is age-, sex-, and race-dependent, ranging from 1% in adults under 50 to up to 15% in White women.

Indexed as

AIBone mineral densityOpportunistic CTOsteoporosis

Identifiers

PMID42701156

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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.