{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T04:04:45Z","timestamp":1793505885599,"version":"4.5.0"},"reference-count":49,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T00:00:00Z","timestamp":1777075200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"SINERGIA","award":["183584"],"award-info":[{"award-number":["183584"]}]},{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Geneva University Hospitals and Faculty of Medicine Clinical Research Center"},{"name":"HUG Private Foundation"},{"name":"BNP-Paribas Foundation"},{"name":"Fondation pour la Recherche sur l\u2019Ost\u00e9oporose et les Maladies Osseuses de Gen\u00e8ve"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The growing interest in 3D-DXA reconstructions for possible uses in fracture risk prediction or patient follow-up, for example, in conjunction with finite element analyses (FEA), asks for precision data to increase the interpretability of results making use of the 3D-DXA technique. Using 2 datasets and a total of 2427 DXA scans of the proximal femur, we evaluated the short- and long-term precision of standard DXA measurements. All the available scans were reconstructed using 3D-Shaper software and processed through a nonlinear finite element pipeline for femoral strength estimation. Short- and long-term precision were computed for 30 3D-DXA-based parameters as well as femoral strength in fall and stance configurations. Precision errors were related to change rates of the respective parameters by calculating the trend assessment interval (TAI). Simultaneously, spatially resolved precision errors were computed for cortical parameters and error progression from DXA to 3D-DXA and FEA was considered. Precision errors were amplified through the different processing steps. Long-term precision errors were 1.6%, 2.0%, and 7.5% for TH aBMD, TH integral vBMD, and strength in fall, respectively. Errors between processing steps were only weakly correlated. Higher change rates for vBMD and strength compensated the larger precision errors, resulting in similar TAIs for TH aBMD (5.5\u00a0yr), TH integral vBMD (4.6), and strength (5.8), respectively. Relative local precision errors of cortical parameters were largest in the superior and anterior neck region and above the lesser trochanter. 3D-DXA and its derived FEA may offer interesting insights into the densitometric and mechanical quality of the proximal femur. The results reported herein offer a help for the interpretation of sequential measurements, where these are required.<\/jats:p>","DOI":"10.1093\/jbmr\/zjag073","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T11:49:51Z","timestamp":1776858591000},"source":"Crossref","is-referenced-by-count":2,"title":["Precision and age-related changes of 3D-DXA reconstructions and FEA of the proximal femur in comparison to DXA"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1494-3009","authenticated-orcid":false,"given":"Yvan","family":"Gugler","sequence":"first","affiliation":[{"name":"ARTORG Center for Biomedical Engineering Research, University of Bern , 3010 Bern ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniela A","family":"Frauchiger","sequence":"additional","affiliation":[{"name":"ARTORG Center for Biomedical Engineering Research, University of Bern , 3010 Bern ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kurt","family":"Lippuner","sequence":"additional","affiliation":[{"name":"ARTORG Center for Biomedical Engineering Research, University of Bern , 3010 Bern ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1372-4417","authenticated-orcid":false,"given":"Serge","family":"Ferrari","sequence":"additional","affiliation":[{"name":"Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva , 1205 Geneva ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6174-1951","authenticated-orcid":false,"given":"Emmanuel","family":"Biver","sequence":"additional","affiliation":[{"name":"Division of Bone Diseases, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva 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