{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T00:37:59Z","timestamp":1768869479332,"version":"3.49.0"},"reference-count":27,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T00:00:00Z","timestamp":1640649600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2021,12,28]]},"abstract":"<jats:p>The purpose of this study was to investigate the clinical value of CT angiography (CTA) images processed by the segmentation denoising technique based on deep convolution neural network algorithm in the diagnosis of abdominal aortic aneurysm (AAA) and the detection of disease changes. A total of 98 patients with ruptured AAA were retrospectively selected as the study subjects. Patients were grouped according to whether the CTA images were optimized, the images receiving artificial intelligence segmentation and denoising were set as the observation group, and the CTA images without optimization were set as the control group. The detection and diagnosis effects of CTA images before and after the treatment were compared. The surgical results were used as the standard to analyze the diagnostic effect, and the maximum diameter measurement results of AAA and the proportion results of intraluminal thrombus (ILT) were compared. Although the sensitivity and accuracy of diagnosis in the observation group (97.73% and 94.9%) were higher than those in the control group (95.45% and 92.86%), there was no significant statistical significance (<jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:mi>P<\/a:mi>\n                        <a:mo>&gt;<\/a:mo>\n                        <a:mn>0.05<\/a:mn>\n                     <\/a:math>\n                  <\/jats:inline-formula>). When the diameter of AAA was no less than 5\u2009cm, all results showed that the coverage percentage of intraluminal thrombus (ILT) was over 50%. When the diameter of AAA was less than 5\u2009cm, only 55.56% of the results showed that the percentage of ILT coverage was over 50%, with considerable differences (<jats:inline-formula>\n                     <c:math xmlns:c=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\">\n                        <c:mi>P<\/c:mi>\n                        <c:mo>&gt;<\/c:mo>\n                        <c:mn>0.05<\/c:mn>\n                     <\/c:math>\n                  <\/jats:inline-formula>). According to the results of the study, it was found that there was a certain relationship between the thrombus coverage of the abdominal aortic wall and the growth rate of AAA. The deep convolution neural network algorithm had a certain effect on the treatment of CTA, but it is not obvious. However, CTA had a better clinical diagnostic effect on AAA.<\/jats:p>","DOI":"10.1155\/2021\/8721464","type":"journal-article","created":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T22:35:51Z","timestamp":1640730951000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Abdominal Enhanced Computed Tomography Image by Artificial Intelligence Algorithm in the Diagnosis of Abdominal Aortic Aneurysm"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1816-1382","authenticated-orcid":true,"given":"Tao","family":"Zheng","sequence":"first","affiliation":[{"name":"Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6440-6008","authenticated-orcid":true,"given":"Guofeng","family":"Shao","sequence":"additional","affiliation":[{"name":"Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1355-9730","authenticated-orcid":true,"given":"Qingyun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0892-4879","authenticated-orcid":true,"given":"Qinning","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7943-8731","authenticated-orcid":true,"given":"Mengmeng","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.21470\/1678-9741-2016-0050"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1586\/14779072.2015.1074861"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-017-1450-7"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.18632\/aging.101702"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.18926\/AMO\/57710"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1038\/nrcardio.2010.180"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/s00423-016-1401-8"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.23736\/S0021-9509.18.10380-6"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.avsg.2018.10.018"},{"issue":"5","key":"10","first-page":"587","article-title":"Mortality of ruptured abdominal aortic aneurysm with selective use of endovascular repair","volume":"50","author":"E. 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