{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:50:00Z","timestamp":1767423000276,"version":"3.40.5"},"reference-count":25,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2020,3,15]],"date-time":"2020-03-15T00:00:00Z","timestamp":1584230400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100005625","name":"RSNA Research and Education Foundation","doi-asserted-by":"publisher","award":["572241"],"award-info":[{"award-number":["572241"]}],"id":[{"id":"10.13039\/100005625","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Med Imag Rad Onc"],"published-print":{"date-parts":[[2020,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Bone biopsies are often used to direct antibiotic choice in patients with suspected osteomyelitis. The aim of this study was to identify the best predictors of positive bone biopsy cultures.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A retrospective review of 845 patients who underwent computed tomography (CT)\u2010guided non\u2010spine bone biopsies at a tertiary academic healthcare institution. Thirty\u2010seven patients (4.4%) had biopsies performed for suspected osteomyelitis. Laboratory markers, as well as imaging features, were measured. <jats:italic>t<\/jats:italic>\u2010Tests and Fisher\u2019s exact tests were used to compare clinical and demographic variables between patients with positive bone cultures and patients with negative bone cultures. Multivariable logistic regression was used to identify the best predictors of bone culture positivity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>All patients had negative blood cultures; however, only eight patients (21.6%) had positive bone cultures, with <jats:italic>Staphyloccocus<\/jats:italic> the most common organism. Multivariable logistic regression analysis showed that an open wound (OR\u00a0=\u00a014.00, 95% CI (1.74, 112.4), <jats:italic>p<\/jats:italic>\u00a0=\u00a00.013) and any fluid aspirated at the time of biopsy (OR\u00a0=\u00a010.50, 95% CI (1.21, 91.01), <jats:italic>p<\/jats:italic>\u00a0=\u00a00.033) were the best predictors of bone culture positivity. The area under the curve (AUC) for this multivariable model was 0.784 with sensitivity and specificity of 0.778 and 0.778, respectively. Interestingly, and contrary to popular belief, open wounds with exposed bone did not always yield positive bone cultures, and when cultures were positive, were not polymicrobial.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Aspiration of fluid at the time of biopsy and the presence of an open wound are the best predictors of positive bone cultures.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1754-9485.13012","type":"journal-article","created":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T03:54:11Z","timestamp":1584330851000},"page":"313-318","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Predictors of positive bone cultures from CT\u2010guided bone biopsies performed for suspected osteomyelitis"],"prefix":"10.1111","volume":"64","author":[{"given":"Harrison T.","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7232-4416","authenticated-orcid":false,"given":"Ronnie","family":"Sebro","sequence":"additional","affiliation":[{"name":"Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA"},{"name":"Department of Orthopaedic Surgery University of Pennsylvania Philadelphia Pennsylvania USA"},{"name":"Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania Philadelphia Pennsylvania USA"},{"name":"Department of Genetics University of Pennsylvania Philadelphia Pennsylvania 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