Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly
Objectives To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly. Methods The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) an...
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| Veröffentlicht in: | World journal of surgery 2021-07, Vol.45 (7), p.2108-2115 |
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| container_title | World journal of surgery |
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| creator | Tao, Hai-Su Lin, Jin-Yu Luo, Wang Chen, Rui Zhu, Wen Fang, Chi-Hua Yang, Jian |
| description | Objectives
To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly.
Methods
The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1.
Results
Mean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml,
p
= 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (
p
= 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days,
p
= 0.040).
Conclusions
ARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly. |
| doi_str_mv | 10.1007/s00268-021-06082-8 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2506275092</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2506275092</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4923-35aa168a54504e29d0922559e7ec8b6bef505ade0188a93c0074438d786eae5f3</originalsourceid><addsrcrecordid>eNqNkU9v1DAQxa2qqF0KX4ADitQLl8D4bxxuS0Vb0LZItKhHy-tMVl4lcYiTonx7TFOoxAFxsjX6vac38wh5ReEtBSjeRQCmdA6M5qBAs1wfkBUVnOWMM35IVsCVSH_Kj8nzGPcAtFCgjsgx50UBTMCK7Nd933hnRx-6LNTZV7RNfutbzNbTrsVuxOph5sc529jeDiG60HuXXdt7v1tkvstu-gY7dGNo56wOQ3ZlY_T3uMxDizvbzC_Is9o2EV8-vifk2_nH27PLfPPl4tPZepM7UTKec2ktVdpKIUEgKysoGZOyxAKd3qot1hKkrRCo1rbkLl1CCK6rQiu0KGt-Qt4svv0Qvk8YR9P66LBpbIdhioZJUKyQyTahp3-h-zANXUqXKM4EEyWXiWIL5dL2ccDa9INv7TAbCuZXE2ZpwqQmzEMTRifR60fradti9Ufy-_QJeL8AP3yD839YmrvPNx_OgYLmScwXcUy6bofDU_B_ZPoJsJ-kXg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2532424935</pqid></control><display><type>article</type><title>Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly</title><source>SpringerNature Journals</source><source>Access via Wiley Online Library</source><creator>Tao, Hai-Su ; Lin, Jin-Yu ; Luo, Wang ; Chen, Rui ; Zhu, Wen ; Fang, Chi-Hua ; Yang, Jian</creator><creatorcontrib>Tao, Hai-Su ; Lin, Jin-Yu ; Luo, Wang ; Chen, Rui ; Zhu, Wen ; Fang, Chi-Hua ; Yang, Jian</creatorcontrib><description>Objectives
To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly.
Methods
The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1.
Results
Mean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml,
p
= 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (
p
= 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days,
p
= 0.040).
Conclusions
ARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly.</description><identifier>ISSN: 0364-2313</identifier><identifier>EISSN: 1432-2323</identifier><identifier>DOI: 10.1007/s00268-021-06082-8</identifier><identifier>PMID: 33770240</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Abdominal Surgery ; Augmented reality ; Cardiac Surgery ; Feasibility ; General Surgery ; Laparoscopy ; Medicine ; Medicine & Public Health ; Original Scientific Report ; Patients ; Spleen ; Splenectomy ; Splenic artery ; Splenomegaly ; Surgery ; Thoracic Surgery ; Vascular Surgery</subject><ispartof>World journal of surgery, 2021-07, Vol.45 (7), p.2108-2115</ispartof><rights>Société Internationale de Chirurgie 2021</rights><rights>2021 The Author(s) under exclusive licence to Société Internationale de Chirurgie</rights><rights>Société Internationale de Chirurgie 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4923-35aa168a54504e29d0922559e7ec8b6bef505ade0188a93c0074438d786eae5f3</citedby><cites>FETCH-LOGICAL-c4923-35aa168a54504e29d0922559e7ec8b6bef505ade0188a93c0074438d786eae5f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00268-021-06082-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00268-021-06082-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,41488,42557,45574,45575,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33770240$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tao, Hai-Su</creatorcontrib><creatorcontrib>Lin, Jin-Yu</creatorcontrib><creatorcontrib>Luo, Wang</creatorcontrib><creatorcontrib>Chen, Rui</creatorcontrib><creatorcontrib>Zhu, Wen</creatorcontrib><creatorcontrib>Fang, Chi-Hua</creatorcontrib><creatorcontrib>Yang, Jian</creatorcontrib><title>Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly</title><title>World journal of surgery</title><addtitle>World J Surg</addtitle><addtitle>World J Surg</addtitle><description>Objectives
To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly.
Methods
The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1.
Results
Mean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml,
p
= 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (
p
= 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days,
p
= 0.040).
Conclusions
ARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly.</description><subject>Abdominal Surgery</subject><subject>Augmented reality</subject><subject>Cardiac Surgery</subject><subject>Feasibility</subject><subject>General Surgery</subject><subject>Laparoscopy</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Original Scientific Report</subject><subject>Patients</subject><subject>Spleen</subject><subject>Splenectomy</subject><subject>Splenic artery</subject><subject>Splenomegaly</subject><subject>Surgery</subject><subject>Thoracic Surgery</subject><subject>Vascular Surgery</subject><issn>0364-2313</issn><issn>1432-2323</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNkU9v1DAQxa2qqF0KX4ADitQLl8D4bxxuS0Vb0LZItKhHy-tMVl4lcYiTonx7TFOoxAFxsjX6vac38wh5ReEtBSjeRQCmdA6M5qBAs1wfkBUVnOWMM35IVsCVSH_Kj8nzGPcAtFCgjsgx50UBTMCK7Nd933hnRx-6LNTZV7RNfutbzNbTrsVuxOph5sc529jeDiG60HuXXdt7v1tkvstu-gY7dGNo56wOQ3ZlY_T3uMxDizvbzC_Is9o2EV8-vifk2_nH27PLfPPl4tPZepM7UTKec2ktVdpKIUEgKysoGZOyxAKd3qot1hKkrRCo1rbkLl1CCK6rQiu0KGt-Qt4svv0Qvk8YR9P66LBpbIdhioZJUKyQyTahp3-h-zANXUqXKM4EEyWXiWIL5dL2ccDa9INv7TAbCuZXE2ZpwqQmzEMTRifR60fradti9Ufy-_QJeL8AP3yD839YmrvPNx_OgYLmScwXcUy6bofDU_B_ZPoJsJ-kXg</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>Tao, Hai-Su</creator><creator>Lin, Jin-Yu</creator><creator>Luo, Wang</creator><creator>Chen, Rui</creator><creator>Zhu, Wen</creator><creator>Fang, Chi-Hua</creator><creator>Yang, Jian</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>202107</creationdate><title>Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly</title><author>Tao, Hai-Su ; Lin, Jin-Yu ; Luo, Wang ; Chen, Rui ; Zhu, Wen ; Fang, Chi-Hua ; Yang, Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4923-35aa168a54504e29d0922559e7ec8b6bef505ade0188a93c0074438d786eae5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abdominal Surgery</topic><topic>Augmented reality</topic><topic>Cardiac Surgery</topic><topic>Feasibility</topic><topic>General Surgery</topic><topic>Laparoscopy</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Original Scientific Report</topic><topic>Patients</topic><topic>Spleen</topic><topic>Splenectomy</topic><topic>Splenic artery</topic><topic>Splenomegaly</topic><topic>Surgery</topic><topic>Thoracic Surgery</topic><topic>Vascular Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tao, Hai-Su</creatorcontrib><creatorcontrib>Lin, Jin-Yu</creatorcontrib><creatorcontrib>Luo, Wang</creatorcontrib><creatorcontrib>Chen, Rui</creatorcontrib><creatorcontrib>Zhu, Wen</creatorcontrib><creatorcontrib>Fang, Chi-Hua</creatorcontrib><creatorcontrib>Yang, Jian</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>World journal of surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tao, Hai-Su</au><au>Lin, Jin-Yu</au><au>Luo, Wang</au><au>Chen, Rui</au><au>Zhu, Wen</au><au>Fang, Chi-Hua</au><au>Yang, Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly</atitle><jtitle>World journal of surgery</jtitle><stitle>World J Surg</stitle><addtitle>World J Surg</addtitle><date>2021-07</date><risdate>2021</risdate><volume>45</volume><issue>7</issue><spage>2108</spage><epage>2115</epage><pages>2108-2115</pages><issn>0364-2313</issn><eissn>1432-2323</eissn><abstract>Objectives
To evaluate the clinical impact and technical feasibility of augmented reality laparoscopic navigation (ARLN) system in laparoscopic splenectomy for massive splenomegaly.
Methods
The clinical data of 17 consecutive patients who underwent laparoscopic splenectomy using ARLN (ARLN group) and 26 patients without ARLN guidance (Non-ARLN group) between January 2018 and April 2020 were enrolled. Propensity score matching (PSM) analysis was performed between the patients with and without ARLN guidance at a ratio of 1:1.
Results
Mean intraoperative blood loss was significantly lower in the ARLN-group than in the Non-ARLN group (306.6 ml vs. 462.6 ml,
p
= 0.047). All the patients in the ARLN-group achieved successful splenic artery dissection, while surgical success was achieved in 12 patients in the Non-ARLN group (
p
= 0.044). Postoperative hospital stay was significantly longer in the Non-ARLN group (3.8 days vs. 4.5 days,
p
= 0.040).
Conclusions
ARLN can provide feasible and accurate intraoperative image guidance, and it could be helpful in the performance of laparoscopic splenectomy for massive splenomegaly.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>33770240</pmid><doi>10.1007/s00268-021-06082-8</doi><tpages>8</tpages></addata></record> |
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| source | SpringerNature Journals; Access via Wiley Online Library |
| subjects | Abdominal Surgery Augmented reality Cardiac Surgery Feasibility General Surgery Laparoscopy Medicine Medicine & Public Health Original Scientific Report Patients Spleen Splenectomy Splenic artery Splenomegaly Surgery Thoracic Surgery Vascular Surgery |
| title | Application of Real-Time Augmented Reality Laparoscopic Navigation in Splenectomy for Massive Splenomegaly |
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