{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T01:22:19Z","timestamp":1793323339765,"version":"4.5.0"},"reference-count":49,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T00:00:00Z","timestamp":1736899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 AR084815"],"award-info":[{"award-number":["R01 AR084815"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["S10OD021803"],"award-info":[{"award-number":["S10OD021803"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000069","name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","doi-asserted-by":"publisher","award":["R01 AR084815"],"award-info":[{"award-number":["R01 AR084815"]}],"id":[{"id":"10.13039\/100000069","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008433","name":"University of California, San Francisco, Department of Radiology and Biomedical Imaging","doi-asserted-by":"publisher","award":["MRBSDG2412"],"award-info":[{"award-number":["MRBSDG2412"]}],"id":[{"id":"10.13039\/100008433","id-type":"DOI","asserted-by":"publisher"}]},{"name":"UCSF Sandler Program for Breakthrough Biomedical Research Grant"},{"name":"UCSF Core Center for Musculoskeletal Biology in Medicine","award":["NIH\/NIAMS P30 AR075055"],"award-info":[{"award-number":["NIH\/NIAMS P30 AR075055"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Bone turnover assessment and monitoring are essential for chronic kidney disease (CKD)-associated bone care. Patients with CKD suffer from significantly elevated fracture risk due to abnormally high or low bone turnover, which benefits from diametrically opposite treatments informed by patient-specific bone turnover data. However, a reliable, accessible, noninvasive bone turnover assessment and monitoring tool remains an unmet clinical need. Combining time-lapse (TL) analysis with high-resolution peripheral quantitative computed tomography (HR-pQCT) scans obtained over time allows for in vivo temporospatial bone remodeling assessment. This study aimed to evaluate the feasibility of applying TL HR-pQCT to assess and monitor local bone formation and resorption in patients with CKD. A customized TL HR-pQCT pipeline was developed on a second-generation HR-pQCT platform and optimized using both ex vivo cadaveric phantom and in vivo scan-rescan HR-pQCT images. The annualized least significant changes in bone formation and resorption were evaluated using in vivo longitudinal reproducibility images. Finally, the feasibility of the TL HR-pQCT pipeline in assessing and monitoring bone turnover was evaluated in patients with end-stage kidney disease (ESKD; n\u2009=\u20099). We found that a 2-month TL period was sufficient for the TL HR-pQCT pipeline to reliably assess and monitor local bone turnover in a cohort of patients with ESKD. We also demonstrated the importance of characterizing TL HR-pQCT precision metrics using longitudinal baseline\/follow-up rather than short-term scan-rescan datasets. The TL HR-pQCT pipeline assessed a range of bone formation metrics agreeing with the gold-standard histomorphometry bone formation reported in the literature for patients with CKD and ESKD. Our findings highlight that TL HR-pQCT holds promise as a \u201cvirtual bone biopsy\u201d that reliably assesses and monitors local bone turnover for CKD bone care. Subsequent work will focus on validating this TL HR-pQCT pipeline against the gold-standard bone biopsy with quantitative histomorphometry.<\/jats:p>","DOI":"10.1093\/jbmr\/zjaf006","type":"journal-article","created":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T07:16:55Z","timestamp":1736839015000},"page":"738-752","source":"Crossref","is-referenced-by-count":14,"title":["Time-lapse HR-pQCT reliably assesses and monitors local bone turnover in patients with chronic kidney disease"],"prefix":"10.1093","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8084-3638","authenticated-orcid":false,"given":"Minhao","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, University of California , San Francisco, CA 94158 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saghi","family":"Sadoughi","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical 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