{"doi":"10.1259/bjr.20221016","title":"High-resolution peripheral quantitative computed tomography: research or clinical practice?","abstract":"<jats:title>Abstract</jats:title>\n               <jats:p>High-resolution peripheral quantitative CT (HR-pQCT) is a low-dose three-dimensional imaging technique, originally developed for in vivo assessment of bone microarchitecture at the distal radius and tibia in osteoporosis. HR-pQCT has the ability to discriminate trabecular and cortical bone compartments, providing densitometric and structural parameters. At present, HR-pQCT is mostly used in research settings, despite evidence showing that it may be a valuable tool in osteoporosis and other diseases. This review summarizes the main applications of HR-pQCT and addresses the limitations that currently prevent its integration into routine clinical practice. In particular, the focus is on the use of HR-pQCT in primary and secondary osteoporosis, chronic kidney disease (CKD), endocrine disorders affecting bone, and rare diseases. A section on novel potential applications of HR-pQCT is also present, including assessment of rheumatic diseases, knee osteoarthritis, distal radius/scaphoid fractures, vascular calcifications, effect of medications, and skeletal muscle. The reviewed literature seems to suggest that a more widespread implementation of HR-pQCT in clinical practice would offer notable opportunities. For instance, HR-pQCT can improve the prediction of incident fractures beyond areal bone mineral density provided by dual-energy X-ray absorptiometry. In addition, HR-pQCT may be used for the monitoring of anti-osteoporotic therapy or for the assessment of mineral and bone disorder associated with CKD. Nevertheless, several obstacles currently prevent a broader use of HR-pQCT and would need to be targeted, such as the small number of installed machines worldwide, the uncertain cost-effectiveness, the need for improved reproducibility, and the limited availability of reference normative data sets.</jats:p>","journal":"The British Journal of Radiology","year":2023,"id":643156,"datarank":0.6190701577567639,"base_score":4.127134385045092,"endowment":4.127134385045092,"self_citation_contribution":0.6190701577567639,"citation_network_contribution":0.0,"self_endowment_contribution":0.6190701577567639,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":61,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1673299,"name":"Maria Pilar Aparisi Gómez","orcid":null,"position":1,"is_corresponding":false},{"id":1673300,"name":"Enrico Schileo","orcid":null,"position":2,"is_corresponding":false},{"id":1673301,"name":"Fulvia Taddei","orcid":null,"position":3,"is_corresponding":false},{"id":1673302,"name":"Luca Sangiorgi","orcid":null,"position":4,"is_corresponding":false},{"id":1412858,"name":"Maria Fusaro","orcid":"0000-0001-9478-4851","position":5,"is_corresponding":false},{"id":400054,"name":"Marco Miceli","orcid":"0000-0001-5806-1488","position":6,"is_corresponding":false},{"id":1673303,"name":"Giuseppe Guglielmi","orcid":null,"position":7,"is_corresponding":false},{"id":1673304,"name":"Alberto Bazzocchi","orcid":null,"position":8,"is_corresponding":false},{"id":1673298,"name":"Silvia Gazzotti","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"High-resolution peripheral quantitative computed tomography: research or clinical practice?","abstract":"<jats:title>Abstract</jats:title>\n               <jats:p>High-resolution peripheral quantitative CT (HR-pQCT) is a low-dose three-dimensional imaging technique, originally developed for in vivo assessment of bone microarchitecture at the distal radius and tibia in osteoporosis. HR-pQCT has the ability to discriminate trabecular and cortical bone compartments, providing densitometric and structural parameters. At present, HR-pQCT is mostly used in research settings, despite evidence showing that it may be a valuable tool in osteoporosis and other diseases. This review summarizes the main applications of HR-pQCT and addresses the limitations that currently prevent its integration into routine clinical practice. In particular, the focus is on the use of HR-pQCT in primary and secondary osteoporosis, chronic kidney disease (CKD), endocrine disorders affecting bone, and rare diseases. A section on novel potential applications of HR-pQCT is also present, including assessment of rheumatic diseases, knee osteoarthritis, distal radius/scaphoid fractures, vascular calcifications, effect of medications, and skeletal muscle. The reviewed literature seems to suggest that a more widespread implementation of HR-pQCT in clinical practice would offer notable opportunities. For instance, HR-pQCT can improve the prediction of incident fractures beyond areal bone mineral density provided by dual-energy X-ray absorptiometry. In addition, HR-pQCT may be used for the monitoring of anti-osteoporotic therapy or for the assessment of mineral and bone disorder associated with CKD. Nevertheless, several obstacles currently prevent a broader use of HR-pQCT and would need to be targeted, such as the small number of installed machines worldwide, the uncertain cost-effectiveness, the need for improved reproducibility, and the limited availability of reference normative data sets.</jats:p>","is_dataset_classified":null,"base_score":4.127134385045092,"endowment":4.127134385045092,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"37195008","pmcid":"PMC10546468","openalex_id":"https://openalex.org/W4376872425","authors":[],"funders":[],"total_grants":0,"fwci":12.9563,"citation_percentile":0.9949975,"influential_citations":0,"citation_trend":[{"year":2023,"count":1},{"year":2024,"count":18},{"year":2025,"count":22},{"year":2026,"count":20}],"oa_status":"hybrid","license":"cc-by-nc","oa_locations":[{"url":"https://doi.org/10.1259/bjr.20221016","host_type":"journal"},{"url":"https://doi.org/10.1259/bjr.20221016","host_type":"publisher"},{"url":"https://academic.oup.com/bjr/article-pdf/96/1150/20221016/57371421/bjr.20221016.pdf","host_type":"publisher"},{"url":"https://pubmed.ncbi.nlm.nih.gov/37195008","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10546468","host_type":"repository"},{"url":"https://hdl.handle.net/2292/70832","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10546468/pdf/bjr.20221016.pdf","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC10546468","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC10546468?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Bone health and osteoporosis research","Bone and Joint Diseases","Medical Imaging Techniques and Applications","Humans","Reproducibility of Results","Osteoporosis","Bone Density","Absorptiometry, Photon","Tomography, X-Ray Computed","Tibia","Wrist Fractures","Renal Insufficiency, Chronic"],"mesh_terms":["Wrist Fractures","Humans","Osteoporosis","Tibia","Tomography, X-Ray Computed","Reproducibility of Results","Absorptiometry, Photon","Bone Density","Renal Insufficiency, Chronic"],"keywords":["Quantitative computed tomography","Medicine","Osteoporosis","Bone mineral","Osteoarthritis","Peripheral","Radiology","Clinical Practice","Nuclear medicine","Internal medicine","Pathology","Physical therapy"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Reduced inequalities"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-08T13:23:01.072818Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}