{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T16:00:06Z","timestamp":1717171206892},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T00:00:00Z","timestamp":1622160000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T00:00:00Z","timestamp":1622160000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000871","name":"Mayo Clinic","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1007\/s10278-021-00465-y","type":"journal-article","created":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T15:03:27Z","timestamp":1622214207000},"page":"1183-1189","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Deep Learning Improves the Temporal Reproducibility of Aortic Measurement"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2445-2357","authenticated-orcid":false,"given":"Alex","family":"Bratt","sequence":"first","affiliation":[]},{"given":"Daniel J.","family":"Blezek","sequence":"additional","affiliation":[]},{"given":"William J.","family":"Ryan","sequence":"additional","affiliation":[]},{"given":"Kenneth A.","family":"Philbrick","sequence":"additional","affiliation":[]},{"given":"Prabhakar","family":"Rajiah","sequence":"additional","affiliation":[]},{"given":"Yasmeen K.","family":"Tandon","sequence":"additional","affiliation":[]},{"given":"Lara A.","family":"Walkoff","sequence":"additional","affiliation":[]},{"given":"Jason C.","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Emily N.","family":"Sheedy","sequence":"additional","affiliation":[]},{"given":"Panagiotis","family":"Korfiatis","sequence":"additional","affiliation":[]},{"given":"Eric E.","family":"Williamson","sequence":"additional","affiliation":[]},{"given":"Bradley J.","family":"Erickson","sequence":"additional","affiliation":[]},{"given":"Jeremy D.","family":"Collins","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,28]]},"reference":[{"issue":"2","key":"465_CR1","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.jvs.2018.03.435","volume":"69","author":"H Abdulameer","year":"2019","unstructured":"Abdulameer H, Taii HA, Al-Kindi SG, Milner R. Epidemiology of fatal ruptured aortic aneurysms in the United States (1999-2016). Journal of Vascular Surgery. 2019 Feb 1;69(2):378-384.e2.","journal-title":"Journal of Vascular Surgery."},{"issue":"2","key":"465_CR2","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1038\/nrcardio.2010.187","volume":"8","author":"SA LeMaire","year":"2011","unstructured":"LeMaire SA, Russell L. Epidemiology of thoracic aortic dissection. Nature Reviews Cardiology. 2011 Feb;8(2):103\u201313.","journal-title":"Nature Reviews Cardiology."},{"issue":"1","key":"465_CR3","first-page":"11","volume":"16","author":"S Aggarwal","year":"2011","unstructured":"Aggarwal S, Qamar A, Sharma V, Sharma A. Abdominal aortic aneurysm: a comprehensive review. Exp Clin Cardiol. 2011;16(1):11\u20135.","journal-title":"Exp Clin Cardiol."},{"issue":"2","key":"465_CR4","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1007\/s10554-012-0102-9","volume":"29","author":"LE Quint","year":"2013","unstructured":"Quint LE, Liu PS, Booher AM, Watcharotone K, Myles JD. Proximal thoracic aortic diameter measurements at CT: repeatability and reproducibility according to measurement method. Int J Cardiovasc Imaging. 2013 Feb;29(2):479\u201388.","journal-title":"Int J Cardiovasc Imaging."},{"issue":"4","key":"465_CR5","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1007\/s00270-011-0259-y","volume":"35","author":"A Dugas","year":"2012","unstructured":"Dugas A, Therasse \u00c9, Kauffmann C, Tang A, Elkouri S, Nozza A, et al. Reproducibility of abdominal aortic aneurysm diameter measurement and growth evaluation on axial and multiplanar computed tomography reformations. Cardiovascular and interventional radiology. 2012;35(4):779\u201387.","journal-title":"Cardiovascular and interventional radiology."},{"issue":"1","key":"465_CR6","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/S1010-7940(99)00125-6","volume":"16","author":"I Shimada","year":"1999","unstructured":"Shimada I, Rooney SJ, Farneti PA, Riley P, Guest P, Davies P, et al. Reproducibility of thoracic aortic diameter measurement using computed tomographic scans. Eur J Cardiothorac Surg. 1999 Jul 1;16(1):59\u201362.","journal-title":"Eur J Cardiothorac Surg."},{"issue":"2","key":"465_CR7","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.ejvs.2013.10.013","volume":"47","author":"C Mora","year":"2014","unstructured":"Mora C, Marcus C, Barbe C, Ecarnot F, Long A. Measurement of maximum diameter of native abdominal aortic aneurysm by angio-CT: reproducibility is better with the semi-automated method. European Journal of Vascular and Endovascular Surgery. 2014 Feb 1;47(2):139\u201350.","journal-title":"European Journal of Vascular and Endovascular Surgery."},{"issue":"1","key":"465_CR8","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.ejrad.2009.12.018","volume":"79","author":"A Parr","year":"2011","unstructured":"Parr A, Jayaratne C, Buttner P, Golledge J. Comparison of volume and diameter measurement in assessing small abdominal aortic aneurysm expansion examined using computed tomographic angiography. European Journal of Radiology. 2011 Jul 1;79(1):42\u20137.","journal-title":"European Journal of Radiology."},{"key":"465_CR9","first-page":"1","volume":"20","author":"D Ardila","year":"2019","unstructured":"Ardila D, Kiraly AP, Bharadwaj S, Choi B, Reicher JJ, Peng L, et al. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nature Medicine. 2019 May 20;1.","journal-title":"Nature Medicine."},{"issue":"45","key":"465_CR10","doi-asserted-by":"publisher","first-page":"22737","DOI":"10.1073\/pnas.1908021116","volume":"116","author":"W Kuo","year":"2019","unstructured":"Kuo W, H\u04d3ne C, Mukherjee P, Malik J, Yuh EL. Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning. PNAS. 2019 Nov 5;116(45):22737\u201345.","journal-title":"PNAS."},{"issue":"11","key":"465_CR11","doi-asserted-by":"publisher","first-page":"e1002683","DOI":"10.1371\/journal.pmed.1002683","volume":"15","author":"JR Zech","year":"2018","unstructured":"Zech JR, Badgeley MA, Liu M, Costa AB, Titano JJ, Oermann EK. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study. PLOS Medicine. 2018 Nov 6;15(11):e1002683.","journal-title":"PLOS Medicine."},{"key":"465_CR12","doi-asserted-by":"crossref","unstructured":"Yan W, Huang L, Xia L, Gu S, Yan F, Wang Y, et al. MRI manufacturer shift and adaptation: increasing the generalizability of deep learning segmentation for MR images acquired with different scanners. Radiology: Artificial Intelligence. 2020 Jul 1;2(4):e190195.","DOI":"10.1148\/ryai.2020190195"},{"key":"465_CR13","unstructured":"Jiang L, Di Huang ML, Yang W. Beyond synthetic noise: deep learning on controlled noisy labels. In ICML; 2020."},{"key":"465_CR14","doi-asserted-by":"crossref","unstructured":"Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation. In: Navab N, Hornegger J, Wells WM, Frangi AF, editors. Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015. Springer International Publishing; 2015. p. 234\u201341. (Lecture Notes in Computer Science).","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"465_CR15","unstructured":"Tan M, Le Q. {E}fficient{N}et: rethinking model scaling for convolutional neural networks. In: Chaudhuri K, Salakhutdinov R, editors. Proceedings of the 36th International Conference on Machine Learning [Internet]. Long Beach, California, USA: PMLR; 2019. p. 6105\u201314. (Proceedings of Machine Learning Research; vol. 97). Available from: http:\/\/proceedings.mlr.press\/v97\/tan19a.html"},{"key":"465_CR16","unstructured":"Paszke A, Gross S, Chintala S, Chanan G, Yang E, DeVito Z, et al. Automatic differentiation in PyTorch. In: NeurIPS Autodiff Workshop. 2017."},{"key":"465_CR17","unstructured":"Yakubovskiy P. qubvel\/efficientnet [Internet]. 2020 [cited 2020 Sep 30]. Available from: https:\/\/github.com\/qubvel\/efficientnet"},{"issue":"8476","key":"465_CR18","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/S0140-6736(86)90837-8","volume":"1","author":"JM Bland","year":"1986","unstructured":"Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986 Feb 8;1(8476):307\u201310.","journal-title":"Lancet."},{"key":"465_CR19","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1038\/s41586-020-2649-2","volume":"585","author":"CR Harris","year":"2020","unstructured":"Harris CR, Millman KJ, van der Walt SJ, Gommers R, Virtanen P, Cournapeau D, et al. Array programming with NumPy. Nature. 2020;585:357\u201362.","journal-title":"Nature."},{"key":"465_CR20","doi-asserted-by":"crossref","unstructured":"Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D, et al. SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods. 2020;17:261\u201372.","DOI":"10.1038\/s41592-020-0772-5"},{"key":"465_CR21","unstructured":"Cox R, Ashburner J, Breman H, Fissell K, Haselgrove C, Holmes C, et al. A (Sort of) new image data format standard: NIfTI-1: WE 150. Neuroimage. 2004;22."},{"issue":"13","key":"465_CR22","first-page":"e266","volume":"121","author":"Loren F Hiratzka","year":"2010","unstructured":"Hiratzka Loren F., Bakris George L., Beckman Joshua A., Bersin Robert M., Carr Vincent F., Casey Donald E., et al. 2010 ACCF\/AHA\/AATS\/ACR\/ASA\/SCA\/SCAI\/SIR\/STS\/SVM Guidelines for the diagnosis and management of patients with thoracic aortic disease. Circulation. 2010 Apr 6;121(13):e266\u2013369.","journal-title":"Circulation."},{"issue":"4","key":"465_CR23","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1002\/jmri.27183","volume":"52","author":"MJ van Hout","year":"2020","unstructured":"Hout MJ van, Scholte AJ, Juffermans JF, Westenberg JJ, Zhong L, Zhou X, et al. How to measure the aorta using MRI: a practical guide. Journal of Magnetic Resonance Imaging. 2020;52(4):971\u20137.","journal-title":"Journal of Magnetic Resonance Imaging."},{"issue":"6","key":"465_CR24","doi-asserted-by":"publisher","first-page":"W581","DOI":"10.2214\/AJR.12.9531","volume":"200","author":"LA Freeman","year":"2013","unstructured":"Freeman LA, Young PM, Foley TA, Williamson EE, Bruce CJ, Greason KL. CT and MRI assessment of the aortic root and ascending aorta. American Journal of Roentgenology. 2013 May 23;200(6):W581\u201392.","journal-title":"American Journal of Roentgenology."},{"issue":"Suppl 6","key":"465_CR25","doi-asserted-by":"publisher","first-page":"S445","DOI":"10.21037\/jtd.2017.03.96","volume":"9","author":"E D\u00edaz-Pel\u00e1ez","year":"2017","unstructured":"D\u00edaz-Pel\u00e1ez E, Barreiro-P\u00e9rez M, Mart\u00edn-Garc\u00eda A, Sanchez PL. Measuring the aorta in the era of multimodality imaging: still to be agreed. J Thorac Dis. 2017 May;9(Suppl 6):S445\u20137.","journal-title":"J Thorac Dis."},{"issue":"1","key":"465_CR26","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.jvs.2013.05.001","volume":"58","author":"A Kitagawa","year":"2013","unstructured":"Kitagawa A, Mastracci TM, Allmen R von, Powell JT. The role of diameter versus volume as the best prognostic measurement of abdominal aortic aneurysms. Journal of Vascular Surgery. 2013 Jul 1;58(1):258\u201365.","journal-title":"Journal of Vascular Surgery."},{"issue":"1","key":"465_CR27","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.jtcvs.2013.06.030","volume":"147","author":"S Geisb\u00fcsch","year":"2014","unstructured":"Geisb\u00fcsch S, Stefanovic A, Schray D, Oyfe I, Lin H-M, Luozzo GD, et al. A prospective study of growth and rupture risk of small-to-moderate size ascending aortic aneurysms. The Journal of Thoracic and Cardiovascular Surgery. 2014 Jan 1;147(1):68\u201374.","journal-title":"The Journal of Thoracic and Cardiovascular Surgery."},{"issue":"4","key":"465_CR28","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1097\/RLI.0000000000000332","volume":"52","author":"B Trinh","year":"2017","unstructured":"Trinh B, Dubin I, Rahman O, Ferreira Botelho MP, Naro N, Carr JC, et al. Aortic volumetry at contrast-enhanced MR angiography: feasibility as a sensitive method for monitoring bicuspid aortic valve aortopathy. Invest Radiol. 2017 Apr;52(4):216\u201322.","journal-title":"Invest Radiol."},{"issue":"5","key":"465_CR29","doi-asserted-by":"publisher","first-page":"1938","DOI":"10.1016\/j.jtcvs.2017.10.140","volume":"155","author":"MA Zafar","year":"2018","unstructured":"Zafar MA, Li Y, Rizzo JA, Charilaou P, Saeyeldin A, Velasquez CA, et al. Height alone, rather than body surface area, suffices for risk estimation in ascending aortic aneurysm. The Journal of Thoracic and Cardiovascular Surgery. 2018 May 1;155(5):1938\u201350.","journal-title":"The Journal of Thoracic and Cardiovascular Surgery."}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-021-00465-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-021-00465-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-021-00465-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T21:03:30Z","timestamp":1635368610000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-021-00465-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,28]]},"references-count":29,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2021,10]]}},"alternative-id":["465"],"URL":"http:\/\/dx.doi.org\/10.1007\/s10278-021-00465-y","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,28]]},"assertion":[{"value":"29 November 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 May 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 May 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This research protocol was performed under the supervision of our institutional review board, which approved the retrospective analysis of pre-existing data and waived the requirement for informed consent.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"PR: royalties from Elsevier for book and journal editing (not related to present manuscript). JDC: co-investigator for an institutional grant from Siemens Healthineers; stock owner in Ceta, a non-publicly traded healthcare I company; travel costs from Siemens Healthineers to attend a CT research summit in Germany in October 2019 (none related to present manuscript).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}
