Evidence map›Paper›PMID 40366492›Full record

ArticleArchives of osteoporosis2025

Total radius BMD correlates with the hip and lumbar spine BMD among post-menopausal patients with fragility wrist fracture in a machine learning model.

Tapio Ruotsalainen, Egor Panfilov, Jerome Thevenot, Aleksei Tiulpin, Simo Saarakkala, Jaakko Niinimäki, Petri Lehenkari, Maarit Valkealahti

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Article in Archives of osteoporosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Tapio RuotsalainenDivision of Musculoskeletal Surgery, University Hospital of Oulu, Oulu, Finland. tappijo@gmail.com.ORCID 0009-0005-1814-4429
Egor PanfilovResearch Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.ORCID 0000-0002-2500-6375
Jerome ThevenotResearch Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.ORCID 0000-0003-0209-025X
Aleksei TiulpinResearch Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.ORCID 0000-0002-7852-4141
Simo SaarakkalaResearch Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.ORCID 0000-0003-2850-5484
Jaakko NiinimäkiDepartment of Diagnostic Radiology, Oulu University Hospital and Research Unit of Health Sciences and Technology, Medical Research Center Oulu, University of Oulu, Oulu, Finland.ORCID 0000-0002-5591-3726
Petri LehenkariDivision of Musculoskeletal Surgery, University Hospital of Oulu, Oulu, Finland.ORCID 0000-0002-0055-5183
Maarit ValkealahtiDivision of Musculoskeletal Surgery, University Hospital of Oulu, Oulu, Finland.ORCID 0000-0003-2135-6922

Funding

Academy of Finland 336449Tekes K47880
6 · The paper itself

Abstract

Osteoporosis screening should be systematic in the group of over 50-year-old females with a radius fracture. We tested a phantom combined with machine learning model and studied osteoporosis-related variables. This machine learning model for screening osteoporosis using plain radiographs requires further investigation in larger cohorts to assess its potential as a replacement for DXA measurements in settings where DXA is not available. PURPOSE: The main purpose of this study was to improve osteoporosis screening, especially in post-menopausal patients with fragility wrist fractures. The secondary objective was to increase understanding of the connection between osteoporosis and aging, as well as other risk factors.

methodsWe collected data on 83 females > 50 years old with a distal radius fracture treated at Oulu University Hospital in 2019-2020. The data included basic patient information, WHO FRAX tool, blood tests, X-ray imaging of the fractured wrist, and DXA scanning of the non-fractured forearm, both hips, and the lumbar spine. Machine learning was used in combination with a custom phantom.

resultsEighty-five percent of the study population had osteopenia or osteoporosis. Only 28.4% of patients had increased bone resorption activity measured by ICTP values. Total radius BMD correlated with other osteoporosis-related variables (age r =  - 0.494, BMI r = 0.273, FRAX osteoporotic fracture risk r =  - 0.419, FRAX hip fracture risk r =  - 0.433, hip BMD r = 0.435, and lumbar spine BMD r = 0.645), but the ultra distal (UD) radius BMD did not. Our custom phantom combined with a machine learning model showed potential for screening osteoporosis, with the class-wise accuracies for "Osteoporotic vs. osteopenic & normal bone" of 76% and 75%, respectively.

conclusionWe suggest osteoporosis screening for all females over 50 years old with wrist fractures. We found that the total radius BMD correlates with the central BMD. Due to the limited sample size in the phantom and machine learning parts of the study, further research is needed to make a clinically useful tool for screening osteoporosis.

Indexed as

Bone Diseases, MetabolicMachine LearningOsteoporosisWrist FracturesAbsorptiometry, PhotonAgedFemaleFinlandHipHumansLumbar VertebraeMass ScreeningMiddle AgedPhantoms, ImagingPostmenopauseRadiusBone mineral densityFragility distal radius fractureMachine learningOsteoporosisPostmenopausal

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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.