{"doi":"10.1117/1.jmi.11.2.024001","title":"Estimation of radiographic joint space of the trapeziometacarpal joint with computed tomographic validation","abstract":"PurposeJoint space width (JSW) is a common metric used to evaluate joint structure on plain radiographs. For the hand, quantitative techniques are available for evaluation of the JSW of finger joints; however, such techniques have been difficult to establish for the trapeziometacarpal (TMC) joint. This study aimed to develop a validated method for measuring the radiographic joint space of the healthy TMC joint.ApproachComputed tomographic scans were taken of 15 cadaveric hands. The location of a JSW analysis region on the articular surface of the first metacarpal was established in 3D space and standardized in a 2D projection. The standardized region was applied to simulated radiographic images. A correction factor was defined as the ratio of the CT-based and radiograph-based joint space measurements. Leave-one-out validation was used to correct the radiograph-based measurements. A t-test was used to evaluate the difference between CT-based and corrected radiograph-based measurements (α=0.05).ResultsThe CT-based and radiograph-based measurements of JSW were 3.61±0.72 mm and 2.18±0.40 mm, respectively. The correction factor for radiograph-based joint space was 1.69±0.41. Before correction, the difference between the CT-based and radiograph-based joint space was 1.43 mm [95% CI: 0.99−1.86 mm; p<0.001]. After correction, the difference was −0.11 mm [95% CI: −0.63−0.41 mm; p=0.669].ConclusionsCorrected measurements of radiographic TMC JSW agreed well with CT-measured JSW. With in-vivo validation, the developed methodology has potential for automated and accurate radiographic measurement of TMC JSW.","journal":"Journal of Medical Imaging","year":2024,"id":494851,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9499,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":395671,"name":"John C. Elfar","orcid":"0000-0002-4438-7118","position":1,"is_corresponding":false},{"id":325671,"name":"C. Kent Kwoh","orcid":"0000-0001-5937-550X","position":2,"is_corresponding":false},{"id":432907,"name":"Zong‐Ming Li","orcid":"0000-0002-9636-7012","position":3,"is_corresponding":false},{"id":878437,"name":"David B. Jordan","orcid":"0000-0002-2530-4751","position":0,"is_corresponding":true}],"reference_count":34,"raw_metadata":null,"created_at":"2026-07-19T02:09:11.736910Z","pmid":"38445224","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":[]}