{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T21:32:56Z","timestamp":1781731976058,"version":"3.54.5"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T00:00:00Z","timestamp":1627430400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2021,7,28]]},"abstract":"<jats:p>Objective. This study aimed to optimize the CT images of anal fistula patients using a convolutional neural network (CNN) algorithm to investigate the anal function recovery. Methods. 57 patients with complex anal fistulas admitted to our hospital from January 2020 to February 2021 were selected as research subjects. Of them, CT images of 34 cases were processed using the deep learning neural network, defined as the experimental group, and the remaining unprocessed 23 cases were in the control group. Whether to process CT images depended on the patient\u2019s own wish. The imaging results were compared with the results observed during the surgery. Results. It was found that, in the experimental group, the images were clearer, with DSC\u2009=\u20090.89, precision\u2009=\u20090.98, and recall\u2009=\u20090.87, indicating that the processing effects were good; that the CT imaging results in the experimental group were more consistent with those observed during the surgery, and the difference was notable (<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>&lt;<\/a:mo>\n                        <a:mn>0.05<\/a:mn>\n                     <\/a:math>\n                  <\/jats:inline-formula>). Furthermore, the experimental group had lower RP (mmHg), AMCP (mmHg) scores, and postoperative recurrence rate, with notable differences noted (<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>&lt;<\/c:mo>\n                        <c:mn>0.05<\/c:mn>\n                     <\/c:math>\n                  <\/jats:inline-formula>). Conclusion. CT images processed by deep learning are clearer, leading to higher accuracy of preoperative diagnosis, which is suggested in clinics.<\/jats:p>","DOI":"10.1155\/2021\/1730158","type":"journal-article","created":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T20:50:08Z","timestamp":1627505408000},"page":"1-8","source":"Crossref","is-referenced-by-count":10,"title":["Deep Learning-Based CT Image Characteristics and Postoperative Anal Function Restoration for Patients with Complex Anal Fistula"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3769-466X","authenticated-orcid":true,"given":"Lingling","family":"Han","sequence":"first","affiliation":[{"name":"Department of Anorectal, Xinhua Hospital, Affiliated Hospital of Dalian University, Dalian 116021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2940-9462","authenticated-orcid":true,"given":"Yue","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Anorectal, Xinhua Hospital, Affiliated Hospital of Dalian University, Dalian 116021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1583-058X","authenticated-orcid":true,"given":"Weidong","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Anorectal, Xinhua Hospital, Affiliated Hospital of Dalian University, Dalian 116021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9680-1563","authenticated-orcid":true,"given":"He","family":"Bai","sequence":"additional","affiliation":[{"name":"Department of Anorectal, Xinhua Hospital, Affiliated Hospital of Dalian University, Dalian 116021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5407-6313","authenticated-orcid":true,"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Anorectal, Xinhua Hospital, Affiliated Hospital of Dalian University, Dalian 116021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1176-3401","authenticated-orcid":true,"given":"Miaozhi","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Anorectal, Xinhua Hospital, Affiliated Hospital of Dalian University, Dalian 116021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s10151-019-02144-1"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.5152\/dir.2018.17499"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s10151-020-02220-x"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/s10151-014-1245-6"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cireng.2017.12.006"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1111\/codi.14464"},{"issue":"5","key":"7","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1007\/s00384-014-2104-7","article-title":"Complex anal fistula remains a challenge for colorectal surgeon","volume":"30","author":"F. 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