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Inform. med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Deep-learning (DL) algorithms have the potential to change medical image classification and diagnostics in the coming decade. Delayed diagnosis and treatment of avascular necrosis (AVN) of the lunate may have a detrimental effect on patient hand function. The aim of this study was to use a segmentation-based DL model to diagnose AVN of the lunate from wrist postero-anterior radiographs. A total of 319 radiographs of the diseased lunate and 1228 control radiographs were gathered from Helsinki University Central Hospital database. Of these, 10% were separated to form a test set for model validation. MRI confirmed the absence of disease. In cases of AVN of the lunate, a hand surgeon at Helsinki University Hospital validated the accurate diagnosis using either MRI or radiography. For detection of AVN, the model had a sensitivity of 93.33% (95% confidence interval (CI) 77.93\u201399.18%), specificity of 93.28% (95% CI 87.18\u201397.05%), and accuracy of 93.28% (95% CI 87.99\u201396.73%). The area under the receiver operating characteristic curve was 0.94 (95% CI 0.88\u20130.99). Compared to three clinical experts, the DL model had better AUC than one clinical expert and only one expert had higher accuracy than the DL model. The results were otherwise similar between the model and clinical experts. Our DL model performed well and may be a future beneficial tool for screening of AVN of the lunate.<\/jats:p>","DOI":"10.1007\/s10278-023-00964-0","type":"journal-article","created":{"date-parts":[[2024,1,16]],"date-time":"2024-01-16T16:02:36Z","timestamp":1705420956000},"page":"706-714","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Detecting Avascular Necrosis of the Lunate from Radiographs Using a Deep-Learning Model"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1899-3891","authenticated-orcid":false,"given":"Krista","family":"Wern\u00e9r","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Turkka","family":"Anttila","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sina","family":"Hulkkonen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timo","family":"Viljakka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ville","family":"Haapam\u00e4ki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorma","family":"Ryh\u00e4nen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,1,16]]},"reference":[{"key":"964_CR1","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1302\/0301-620X.90B2.20112","volume":"90","author":"F Schuind","year":"2008","unstructured":"F. 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This study conformed to the principles outlined in the Declaration of Helsinki.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"Radiographs presented in this manuscript are pseudonymized and are thus entirely unidentifiable. For this reason, consent for publication was not retrieved.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}