{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T12:42:42Z","timestamp":1793882562140,"version":"4.7.0"},"reference-count":17,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejradiology.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Radiology"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1016\/j.ejrad.2023.111083","type":"journal-article","created":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T19:03:40Z","timestamp":1694286220000},"page":"111083","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Deep learning for automated measurement of CSA related acromion morphological parameters on anteroposterior radiographs"],"prefix":"10.1016","volume":"168","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3655-2283","authenticated-orcid":false,"given":"Yamuhanmode","family":"Alike","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyi","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Long","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongda","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengjie","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejrad.2023.111083_b0005","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1302\/0301-620X.101B9.BJJ-2018-1591.R1","article-title":"Surgical repair versus conservative treatment and subacromial decompression for the treatment of rotator cuff tears: a meta-analysis of randomized trials","volume":"101","author":"Schemitsch","year":"2019","journal-title":"Bone Joint J."},{"key":"10.1016\/j.ejrad.2023.111083_b0010","doi-asserted-by":"crossref","first-page":"1755","DOI":"10.1177\/0363546517695234","article-title":"Evaluation of the risk factors for a rotator cuff retear after repair surgery","volume":"45","author":"Lee","year":"2017","journal-title":"Am. J. Sports Med."},{"key":"10.1016\/j.ejrad.2023.111083_b0015","doi-asserted-by":"crossref","first-page":"e149","DOI":"10.1016\/j.jse.2014.10.021","article-title":"the influence of radiographic viewing perspective and demographics on the critical shoulder angle","volume":"24","author":"Suter","year":"2015","journal-title":"J. Shoulder Elb. Surg."},{"key":"10.1016\/j.ejrad.2023.111083_b0020","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.arthro.2020.08.036","article-title":"the ratio of the transverse to longitudinal diameter of the glenoid projection is of good predictive value for defining the reliability of critical shoulder angle in nonstandard anteroposterior radiographs., arthrosc","volume":"37","author":"Hou","year":"2021","journal-title":"J. Arthrosc. Relat. Surg. Off. Publ. Arthrosc. Assoc. North Am. Int. Arthrosc. Assoc."},{"key":"10.1016\/j.ejrad.2023.111083_b0025","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1302\/0301-620X.95B7.31028","article-title":"Is there an association between the individual anatomy of the scapula and the development of rotator cuff tears or osteoarthritis of the glenohumeral joint?: A radiological study of the critical shoulder angle","volume":"95-B","author":"Moor","year":"2013","journal-title":"Bone Joint J."},{"key":"10.1016\/j.ejrad.2023.111083_b0030","doi-asserted-by":"crossref","first-page":"2553","DOI":"10.1016\/j.arthro.2019.03.050","article-title":"the effectiveness of using the critical shoulder angle and acromion index for predicting rotator cuff tears: Accurate diagnosis based on standard and nonstandard anteroposterior radiographs., arthrosc","volume":"35","author":"Tang","year":"2019","journal-title":"J. Arthrosc. Relat. Surg. Off. Publ. Arthrosc. Assoc. North Am. Int. Arthrosc. Assoc."},{"key":"10.1016\/j.ejrad.2023.111083_b0035","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.arthro.2020.11.021","article-title":"Editorial commentary: Is your critical shoulder angle accurate? only if you can verify that You have the correct images., arthrosc","volume":"37","author":"Henninger","year":"2021","journal-title":"J. Arthrosc. Relat. Surg. Off. Publ. Arthrosc. Assoc. North Am. Int. Arthrosc. Assoc."},{"key":"10.1016\/j.ejrad.2023.111083_b0040","doi-asserted-by":"crossref","first-page":"207736","DOI":"10.1109\/ACCESS.2020.3038279","article-title":"DRR4Covid: learning automated COVID-19 infection segmentation from digitally reconstructed radiographs, ieee","volume":"8","author":"Zhang","year":"2020","journal-title":"Access"},{"key":"10.1016\/j.ejrad.2023.111083_b0045","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.radonc.2020.10.004","article-title":"RealDRR\u2013Rendering of realistic digitally reconstructed radiographs using locally trained image-to-image translation","volume":"153","author":"Dhont","year":"2020","journal-title":"Radiother. Oncol."},{"key":"10.1016\/j.ejrad.2023.111083_b0050","doi-asserted-by":"crossref","first-page":"3520","DOI":"10.1109\/TIP.2019.2962685","article-title":"Semantic segmentation with context encoding and multi-path decoding","volume":"29","author":"Ding","year":"2020","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.ejrad.2023.111083_b0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2019.101558","article-title":"Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration","volume":"58","author":"Ghavami","year":"2019","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.ejrad.2023.111083_b0060","doi-asserted-by":"crossref","first-page":"1916","DOI":"10.1109\/LGRS.2020.3010827","article-title":"Adjustment of measurements with multiplicative random errors and trends","volume":"18","author":"Shi","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.ejrad.2023.111083_b0065","doi-asserted-by":"crossref","unstructured":"G. d\u2019Eon, J. d\u2019Eon, J.R. Wright, K. Leyton-Brown, The spotlight: A general method for discovering systematic errors in deep learning models, in: 2022 ACM Conf. Fairness, Accountability, Transpar., 2022: pp. 1962\u20131981.","DOI":"10.1145\/3531146.3533240"},{"key":"10.1016\/j.ejrad.2023.111083_b0070","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13018-020-01935-9","article-title":"Evaluation of three-dimensional acromiohumeral distance in the standing position and comparison with its conventional measuring methods","volume":"15","author":"Yoshida","year":"2020","journal-title":"J. Orthop. Surg. Res."},{"key":"10.1016\/j.ejrad.2023.111083_b0075","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1016\/j.jse.2022.07.017","article-title":"Reliability and accuracy of the critical shoulder angle measured by anteroposterior radiographs: using digitally reconstructed radiograph from 3-dimensional computed tomography images","volume":"32","author":"Shibayama","year":"2023","journal-title":"J. Shoulder Elb. Surg."},{"key":"10.1016\/j.ejrad.2023.111083_b0080","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1097\/RLI.0000000000000763","volume":"56","author":"Barbosa","year":"2021","journal-title":"Invest. Radiol."},{"key":"10.1016\/j.ejrad.2023.111083_b0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2019.108732","article-title":"Quantification of epicardial adipose tissue by cardiac CT: Influence of acquisition parameters and contrast enhancement","volume":"121","author":"Marwan","year":"2019","journal-title":"Eur. J. Radiol."}],"container-title":["European Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X23003972?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X23003972?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T07:36:16Z","timestamp":1759995376000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0720048X23003972"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":17,"alternative-id":["S0720048X23003972"],"URL":"https:\/\/doi.org\/10.1016\/j.ejrad.2023.111083","relation":{},"ISSN":["0720-048X"],"issn-type":[{"value":"0720-048X","type":"print"}],"subject":[],"published":{"date-parts":[[2023,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Deep learning for automated measurement of CSA related acromion morphological parameters on anteroposterior radiographs","name":"articletitle","label":"Article Title"},{"value":"European Journal of Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejrad.2023.111083","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"111083"}}