Ultrasound Image under Artificial Intelligence Algorithm in Thoracoscopic Surgery for Papillary Thyroid Carcinoma
This study aimed to investigate the therapeutic effect of thoracoscopic thyroidectomy guided by an ultrasound image based on an artificial intelligence algorithm on papillary thyroid carcinoma. Patients diagnosed with papillary thyroid carcinoma by imaging examination or needle biopsy in hospital we...
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| Veröffentlicht in: | Scientific programming 2022, Vol.2022, p.1-8 |
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| creator | Shen, Xin Yuan, Aolin Zhang, Kaili |
| description | This study aimed to investigate the therapeutic effect of thoracoscopic thyroidectomy guided by an ultrasound image based on an artificial intelligence algorithm on papillary thyroid carcinoma. Patients diagnosed with papillary thyroid carcinoma by imaging examination or needle biopsy in hospital were selected. The subjects were randomly divided into the experimental group and the control group. In the experimental group, 94 patients underwent conventional thoracoscopic thyroid tumor resection. In the control group, 119 patients underwent thoracoscopic thyroidectomy under ultrasonic guidance based on an intelligent algorithm. The adoption effect of ultrasound imaging based on the least variance algorithm in thoracoscopic papillary thyroid carcinoma surgery was evaluated by comparing the differences between the two groups of patients after laparoscopic thyroidectomy. The results showed that the ultrasonic imaging resolution and sound-absorbing spot imaging effect based on an artificial intelligence algorithm were superior to those of conventional ultrasonic imaging. Compared with the control group, the average duration of surgery in the experimental group was reduced and the intraoperative blood loss, postoperative cumulative drainage volume, postoperative drainage tube duration, hospital stay, and pain evaluation were dramatically better (P |
| doi_str_mv | 10.1155/2022/2646094 |
| format | Article |
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Patients diagnosed with papillary thyroid carcinoma by imaging examination or needle biopsy in hospital were selected. The subjects were randomly divided into the experimental group and the control group. In the experimental group, 94 patients underwent conventional thoracoscopic thyroid tumor resection. In the control group, 119 patients underwent thoracoscopic thyroidectomy under ultrasonic guidance based on an intelligent algorithm. The adoption effect of ultrasound imaging based on the least variance algorithm in thoracoscopic papillary thyroid carcinoma surgery was evaluated by comparing the differences between the two groups of patients after laparoscopic thyroidectomy. The results showed that the ultrasonic imaging resolution and sound-absorbing spot imaging effect based on an artificial intelligence algorithm were superior to those of conventional ultrasonic imaging. Compared with the control group, the average duration of surgery in the experimental group was reduced and the intraoperative blood loss, postoperative cumulative drainage volume, postoperative drainage tube duration, hospital stay, and pain evaluation were dramatically better (P<0.05). It was confirmed that ultrasound-guided endoscopic thyroid surgery based on the least variance algorithm had better results than conventional surgery and showed the same safety as traditional surgery, which was of clinical promotion value. However, some evaluations were influenced by subjective judgment, and the accuracy of data conclusions needed to be further studied.</description><identifier>ISSN: 1058-9244</identifier><identifier>EISSN: 1875-919X</identifier><identifier>DOI: 10.1155/2022/2646094</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Algorithms ; Artificial intelligence ; Drainage measurement ; Evaluation ; Hospitals ; Image resolution ; Lymphatic system ; Metastasis ; Research methodology ; Signal processing ; Sound transmission ; Surgery ; Thyroid cancer ; Ultrasonic imaging</subject><ispartof>Scientific programming, 2022, Vol.2022, p.1-8</ispartof><rights>Copyright © 2022 Xin Shen et al.</rights><rights>Copyright © 2022 Xin Shen et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2094-56c0989278e439e0d19a4b124fbff8a19e63e28a0709df94b97bb5847803ec7f3</cites><orcidid>0000-0002-6360-0367 ; 0000-0003-1732-5795 ; 0000-0003-2827-126X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><contributor>Pallikonda Rajasekaran, M</contributor><contributor>M Pallikonda Rajasekaran</contributor><creatorcontrib>Shen, Xin</creatorcontrib><creatorcontrib>Yuan, Aolin</creatorcontrib><creatorcontrib>Zhang, Kaili</creatorcontrib><title>Ultrasound Image under Artificial Intelligence Algorithm in Thoracoscopic Surgery for Papillary Thyroid Carcinoma</title><title>Scientific programming</title><description>This study aimed to investigate the therapeutic effect of thoracoscopic thyroidectomy guided by an ultrasound image based on an artificial intelligence algorithm on papillary thyroid carcinoma. Patients diagnosed with papillary thyroid carcinoma by imaging examination or needle biopsy in hospital were selected. The subjects were randomly divided into the experimental group and the control group. In the experimental group, 94 patients underwent conventional thoracoscopic thyroid tumor resection. In the control group, 119 patients underwent thoracoscopic thyroidectomy under ultrasonic guidance based on an intelligent algorithm. The adoption effect of ultrasound imaging based on the least variance algorithm in thoracoscopic papillary thyroid carcinoma surgery was evaluated by comparing the differences between the two groups of patients after laparoscopic thyroidectomy. The results showed that the ultrasonic imaging resolution and sound-absorbing spot imaging effect based on an artificial intelligence algorithm were superior to those of conventional ultrasonic imaging. Compared with the control group, the average duration of surgery in the experimental group was reduced and the intraoperative blood loss, postoperative cumulative drainage volume, postoperative drainage tube duration, hospital stay, and pain evaluation were dramatically better (P<0.05). It was confirmed that ultrasound-guided endoscopic thyroid surgery based on the least variance algorithm had better results than conventional surgery and showed the same safety as traditional surgery, which was of clinical promotion value. However, some evaluations were influenced by subjective judgment, and the accuracy of data conclusions needed to be further studied.</description><subject>Algorithms</subject><subject>Artificial intelligence</subject><subject>Drainage measurement</subject><subject>Evaluation</subject><subject>Hospitals</subject><subject>Image resolution</subject><subject>Lymphatic system</subject><subject>Metastasis</subject><subject>Research methodology</subject><subject>Signal processing</subject><subject>Sound transmission</subject><subject>Surgery</subject><subject>Thyroid cancer</subject><subject>Ultrasonic imaging</subject><issn>1058-9244</issn><issn>1875-919X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><recordid>eNp9kF1LwzAUhoMoOKd3_oCAl1qXpEmbXI7hx2Cg4AbelTRN2oy26ZIW2b83Y157dd4DD-e8PADcY_SMMWMLgghZkIxmSNALMMM8Z4nA4vsyZsR4Igil1-AmhD1CmGOEZuCwa0cvg5v6Cq47WWsYk_Zw6UdrrLKyhet-1G1ra90rDZdt7bwdmw7aHm4b56VyQbnBKvg1-Vr7IzTOw0852LaVcds2R-9sBVfSK9u7Tt6CKyPboO_-5hzsXl-2q_dk8_G2Xi03iSKxfsIyhQQXJOeapkKjCgtJS0yoKY3hEgudpZpwiXIkKiNoKfKyZJzmHKVa5Sadg4fz3cG7w6TDWOzd5Pv4siBZmrIsYzmO1NOZUt6F4LUpBm-7WLzAqDhJLU5Siz-pEX88443tK_lj_6d_AZwzd3I</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Shen, Xin</creator><creator>Yuan, Aolin</creator><creator>Zhang, Kaili</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-6360-0367</orcidid><orcidid>https://orcid.org/0000-0003-1732-5795</orcidid><orcidid>https://orcid.org/0000-0003-2827-126X</orcidid></search><sort><creationdate>2022</creationdate><title>Ultrasound Image under Artificial Intelligence Algorithm in Thoracoscopic Surgery for Papillary Thyroid Carcinoma</title><author>Shen, Xin ; Yuan, Aolin ; Zhang, Kaili</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2094-56c0989278e439e0d19a4b124fbff8a19e63e28a0709df94b97bb5847803ec7f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Artificial intelligence</topic><topic>Drainage measurement</topic><topic>Evaluation</topic><topic>Hospitals</topic><topic>Image resolution</topic><topic>Lymphatic system</topic><topic>Metastasis</topic><topic>Research methodology</topic><topic>Signal processing</topic><topic>Sound transmission</topic><topic>Surgery</topic><topic>Thyroid cancer</topic><topic>Ultrasonic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Xin</creatorcontrib><creatorcontrib>Yuan, Aolin</creatorcontrib><creatorcontrib>Zhang, Kaili</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Scientific programming</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Xin</au><au>Yuan, Aolin</au><au>Zhang, Kaili</au><au>Pallikonda Rajasekaran, M</au><au>M Pallikonda Rajasekaran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultrasound Image under Artificial Intelligence Algorithm in Thoracoscopic Surgery for Papillary Thyroid Carcinoma</atitle><jtitle>Scientific programming</jtitle><date>2022</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>1058-9244</issn><eissn>1875-919X</eissn><abstract>This study aimed to investigate the therapeutic effect of thoracoscopic thyroidectomy guided by an ultrasound image based on an artificial intelligence algorithm on papillary thyroid carcinoma. Patients diagnosed with papillary thyroid carcinoma by imaging examination or needle biopsy in hospital were selected. The subjects were randomly divided into the experimental group and the control group. In the experimental group, 94 patients underwent conventional thoracoscopic thyroid tumor resection. In the control group, 119 patients underwent thoracoscopic thyroidectomy under ultrasonic guidance based on an intelligent algorithm. The adoption effect of ultrasound imaging based on the least variance algorithm in thoracoscopic papillary thyroid carcinoma surgery was evaluated by comparing the differences between the two groups of patients after laparoscopic thyroidectomy. The results showed that the ultrasonic imaging resolution and sound-absorbing spot imaging effect based on an artificial intelligence algorithm were superior to those of conventional ultrasonic imaging. Compared with the control group, the average duration of surgery in the experimental group was reduced and the intraoperative blood loss, postoperative cumulative drainage volume, postoperative drainage tube duration, hospital stay, and pain evaluation were dramatically better (P<0.05). It was confirmed that ultrasound-guided endoscopic thyroid surgery based on the least variance algorithm had better results than conventional surgery and showed the same safety as traditional surgery, which was of clinical promotion value. However, some evaluations were influenced by subjective judgment, and the accuracy of data conclusions needed to be further studied.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2022/2646094</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-6360-0367</orcidid><orcidid>https://orcid.org/0000-0003-1732-5795</orcidid><orcidid>https://orcid.org/0000-0003-2827-126X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Artificial intelligence Drainage measurement Evaluation Hospitals Image resolution Lymphatic system Metastasis Research methodology Signal processing Sound transmission Surgery Thyroid cancer Ultrasonic imaging |
| title | Ultrasound Image under Artificial Intelligence Algorithm in Thoracoscopic Surgery for Papillary Thyroid Carcinoma |
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