Learning Curve Analysis of Intracorporeal Cuff Suturing During Robotic Single-Site Total Hysterectomy

Abstract Study Objective To analyze the learning curve of intracorporeal cuff suturing during robotic single-site total hysterectomy. Design Retrospective study (Canadian Task Force classification II-1). Setting University hospital. Patients Twenty-four patients with benign indications for hysterect...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of minimally invasive gynecology 2015-03, Vol.22 (3), p.384-389
Hauptverfasser: Akdemir, Ali, MD, Zeybek, Burak, MD, Ozgurel, Banu, PhD, Oztekin, Mehmet Kemal, MD, Sendag, Fatih, MD
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 389
container_issue 3
container_start_page 384
container_title Journal of minimally invasive gynecology
container_volume 22
creator Akdemir, Ali, MD
Zeybek, Burak, MD
Ozgurel, Banu, PhD
Oztekin, Mehmet Kemal, MD
Sendag, Fatih, MD
description Abstract Study Objective To analyze the learning curve of intracorporeal cuff suturing during robotic single-site total hysterectomy. Design Retrospective study (Canadian Task Force classification II-1). Setting University hospital. Patients Twenty-four patients with benign indications for hysterectomy. Interventions Twenty-four patients who underwent robotic single-site total hysterectomy to treat benign indications were included in the study. Surgical procedures were performed by a single surgeon with extensive experience in laparoscopy, using the single-site platform of the da Vinci Surgical System. All vaginal cuffs were closed intracorporeally using semi-rigid single-site instruments. Measurements and Main Results An exponential learning curve technique was used to analyze the learning curve. The overall mean (SD) vaginal cuff closure time was 23.2 (7) minutes. Learning curve analysis revealed a decrease in vaginal closure time after 14 procedures. Conclusions An experienced robotic surgeon requires approximately 14 procedures to achieve proficiency in intracorporeal cuff suturing during robotic single-site total hysterectomy. Novel instruments that create perfect triangulation are needed to overcome the current challenges of suturing and to shorten operative time.
doi_str_mv 10.1016/j.jmig.2014.06.006
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1661329065</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1553465014003094</els_id><sourcerecordid>1661329065</sourcerecordid><originalsourceid>FETCH-LOGICAL-c444t-1a1e9ef51186aa34f8e4e32e51283e1a6af42b86cd6897bc7290071e8ab64a5c3</originalsourceid><addsrcrecordid>eNp9kctKxDAUhoMo3l_AhXTppjW3ZloQQcYrDAiOrkOaOZXUthmTdKBvb8qoCxeuTgLff-B8P0JnBGcEE3HZZE1n3jOKCc-wyDAWO-iQ5DlLuRDl7u87xwfoyPsGYzaL0D46oLzMKeP0EMEClOtN_57MB7eB5KZX7eiNT2ydPPXBKW3d2jpQbQTqOlkOYXATfrsdL7aywehkGT8tpEsTIHm1IeKPow_gQAfbjSdor1ath9PveYze7u9e54_p4vnhaX6zSDXnPKREESihzgkphFKM1wVwYBRyQgsGRAlVc1oVQq9EUc4qPaMlxjMChaoEV7lmx-hiu3ft7OcAPsjOeA1tq3qwg5dECMJiSOQRpVtUO-u9g1qunemUGyXBctIrGznplZNeiYWM5mLo_Hv_UHWw-o38-IzA1RaAeOXGgJNeG-g1rMykQq6s-X__9Z-4bk1vtGo_YATf2MHFfuId0lOJ5XIqeOqX8NgtLjn7Ahv4oSc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1661329065</pqid></control><display><type>article</type><title>Learning Curve Analysis of Intracorporeal Cuff Suturing During Robotic Single-Site Total Hysterectomy</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Akdemir, Ali, MD ; Zeybek, Burak, MD ; Ozgurel, Banu, PhD ; Oztekin, Mehmet Kemal, MD ; Sendag, Fatih, MD</creator><creatorcontrib>Akdemir, Ali, MD ; Zeybek, Burak, MD ; Ozgurel, Banu, PhD ; Oztekin, Mehmet Kemal, MD ; Sendag, Fatih, MD</creatorcontrib><description>Abstract Study Objective To analyze the learning curve of intracorporeal cuff suturing during robotic single-site total hysterectomy. Design Retrospective study (Canadian Task Force classification II-1). Setting University hospital. Patients Twenty-four patients with benign indications for hysterectomy. Interventions Twenty-four patients who underwent robotic single-site total hysterectomy to treat benign indications were included in the study. Surgical procedures were performed by a single surgeon with extensive experience in laparoscopy, using the single-site platform of the da Vinci Surgical System. All vaginal cuffs were closed intracorporeally using semi-rigid single-site instruments. Measurements and Main Results An exponential learning curve technique was used to analyze the learning curve. The overall mean (SD) vaginal cuff closure time was 23.2 (7) minutes. Learning curve analysis revealed a decrease in vaginal closure time after 14 procedures. Conclusions An experienced robotic surgeon requires approximately 14 procedures to achieve proficiency in intracorporeal cuff suturing during robotic single-site total hysterectomy. Novel instruments that create perfect triangulation are needed to overcome the current challenges of suturing and to shorten operative time.</description><identifier>ISSN: 1553-4650</identifier><identifier>EISSN: 1553-4669</identifier><identifier>DOI: 10.1016/j.jmig.2014.06.006</identifier><identifier>PMID: 24952342</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; da Vinci Single-Site Platform ; Feasibility Studies ; Female ; Humans ; Hysterectomy - education ; Hysterectomy - methods ; Intracorporeal cuff suturing ; Laparoendoscopic single-site surgery ; Laparoscopy - education ; Laparoscopy - methods ; Learning Curve ; Length of Stay ; Middle Aged ; Obstetrics and Gynecology ; Operative Time ; Retrospective Studies ; Robotics - education ; Robotics - methods ; Surgery ; Suture Techniques - education ; Total hysterectomy ; Treatment Outcome</subject><ispartof>Journal of minimally invasive gynecology, 2015-03, Vol.22 (3), p.384-389</ispartof><rights>AAGL</rights><rights>2015 AAGL</rights><rights>Copyright © 2015 AAGL. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-1a1e9ef51186aa34f8e4e32e51283e1a6af42b86cd6897bc7290071e8ab64a5c3</citedby><cites>FETCH-LOGICAL-c444t-1a1e9ef51186aa34f8e4e32e51283e1a6af42b86cd6897bc7290071e8ab64a5c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jmig.2014.06.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24952342$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Akdemir, Ali, MD</creatorcontrib><creatorcontrib>Zeybek, Burak, MD</creatorcontrib><creatorcontrib>Ozgurel, Banu, PhD</creatorcontrib><creatorcontrib>Oztekin, Mehmet Kemal, MD</creatorcontrib><creatorcontrib>Sendag, Fatih, MD</creatorcontrib><title>Learning Curve Analysis of Intracorporeal Cuff Suturing During Robotic Single-Site Total Hysterectomy</title><title>Journal of minimally invasive gynecology</title><addtitle>J Minim Invasive Gynecol</addtitle><description>Abstract Study Objective To analyze the learning curve of intracorporeal cuff suturing during robotic single-site total hysterectomy. Design Retrospective study (Canadian Task Force classification II-1). Setting University hospital. Patients Twenty-four patients with benign indications for hysterectomy. Interventions Twenty-four patients who underwent robotic single-site total hysterectomy to treat benign indications were included in the study. Surgical procedures were performed by a single surgeon with extensive experience in laparoscopy, using the single-site platform of the da Vinci Surgical System. All vaginal cuffs were closed intracorporeally using semi-rigid single-site instruments. Measurements and Main Results An exponential learning curve technique was used to analyze the learning curve. The overall mean (SD) vaginal cuff closure time was 23.2 (7) minutes. Learning curve analysis revealed a decrease in vaginal closure time after 14 procedures. Conclusions An experienced robotic surgeon requires approximately 14 procedures to achieve proficiency in intracorporeal cuff suturing during robotic single-site total hysterectomy. Novel instruments that create perfect triangulation are needed to overcome the current challenges of suturing and to shorten operative time.</description><subject>Adult</subject><subject>da Vinci Single-Site Platform</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Hysterectomy - education</subject><subject>Hysterectomy - methods</subject><subject>Intracorporeal cuff suturing</subject><subject>Laparoendoscopic single-site surgery</subject><subject>Laparoscopy - education</subject><subject>Laparoscopy - methods</subject><subject>Learning Curve</subject><subject>Length of Stay</subject><subject>Middle Aged</subject><subject>Obstetrics and Gynecology</subject><subject>Operative Time</subject><subject>Retrospective Studies</subject><subject>Robotics - education</subject><subject>Robotics - methods</subject><subject>Surgery</subject><subject>Suture Techniques - education</subject><subject>Total hysterectomy</subject><subject>Treatment Outcome</subject><issn>1553-4650</issn><issn>1553-4669</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctKxDAUhoMo3l_AhXTppjW3ZloQQcYrDAiOrkOaOZXUthmTdKBvb8qoCxeuTgLff-B8P0JnBGcEE3HZZE1n3jOKCc-wyDAWO-iQ5DlLuRDl7u87xwfoyPsGYzaL0D46oLzMKeP0EMEClOtN_57MB7eB5KZX7eiNT2ydPPXBKW3d2jpQbQTqOlkOYXATfrsdL7aywehkGT8tpEsTIHm1IeKPow_gQAfbjSdor1ath9PveYze7u9e54_p4vnhaX6zSDXnPKREESihzgkphFKM1wVwYBRyQgsGRAlVc1oVQq9EUc4qPaMlxjMChaoEV7lmx-hiu3ft7OcAPsjOeA1tq3qwg5dECMJiSOQRpVtUO-u9g1qunemUGyXBctIrGznplZNeiYWM5mLo_Hv_UHWw-o38-IzA1RaAeOXGgJNeG-g1rMykQq6s-X__9Z-4bk1vtGo_YATf2MHFfuId0lOJ5XIqeOqX8NgtLjn7Ahv4oSc</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Akdemir, Ali, MD</creator><creator>Zeybek, Burak, MD</creator><creator>Ozgurel, Banu, PhD</creator><creator>Oztekin, Mehmet Kemal, MD</creator><creator>Sendag, Fatih, MD</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20150301</creationdate><title>Learning Curve Analysis of Intracorporeal Cuff Suturing During Robotic Single-Site Total Hysterectomy</title><author>Akdemir, Ali, MD ; Zeybek, Burak, MD ; Ozgurel, Banu, PhD ; Oztekin, Mehmet Kemal, MD ; Sendag, Fatih, MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c444t-1a1e9ef51186aa34f8e4e32e51283e1a6af42b86cd6897bc7290071e8ab64a5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>da Vinci Single-Site Platform</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Hysterectomy - education</topic><topic>Hysterectomy - methods</topic><topic>Intracorporeal cuff suturing</topic><topic>Laparoendoscopic single-site surgery</topic><topic>Laparoscopy - education</topic><topic>Laparoscopy - methods</topic><topic>Learning Curve</topic><topic>Length of Stay</topic><topic>Middle Aged</topic><topic>Obstetrics and Gynecology</topic><topic>Operative Time</topic><topic>Retrospective Studies</topic><topic>Robotics - education</topic><topic>Robotics - methods</topic><topic>Surgery</topic><topic>Suture Techniques - education</topic><topic>Total hysterectomy</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akdemir, Ali, MD</creatorcontrib><creatorcontrib>Zeybek, Burak, MD</creatorcontrib><creatorcontrib>Ozgurel, Banu, PhD</creatorcontrib><creatorcontrib>Oztekin, Mehmet Kemal, MD</creatorcontrib><creatorcontrib>Sendag, Fatih, MD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of minimally invasive gynecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akdemir, Ali, MD</au><au>Zeybek, Burak, MD</au><au>Ozgurel, Banu, PhD</au><au>Oztekin, Mehmet Kemal, MD</au><au>Sendag, Fatih, MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Learning Curve Analysis of Intracorporeal Cuff Suturing During Robotic Single-Site Total Hysterectomy</atitle><jtitle>Journal of minimally invasive gynecology</jtitle><addtitle>J Minim Invasive Gynecol</addtitle><date>2015-03-01</date><risdate>2015</risdate><volume>22</volume><issue>3</issue><spage>384</spage><epage>389</epage><pages>384-389</pages><issn>1553-4650</issn><eissn>1553-4669</eissn><abstract>Abstract Study Objective To analyze the learning curve of intracorporeal cuff suturing during robotic single-site total hysterectomy. Design Retrospective study (Canadian Task Force classification II-1). Setting University hospital. Patients Twenty-four patients with benign indications for hysterectomy. Interventions Twenty-four patients who underwent robotic single-site total hysterectomy to treat benign indications were included in the study. Surgical procedures were performed by a single surgeon with extensive experience in laparoscopy, using the single-site platform of the da Vinci Surgical System. All vaginal cuffs were closed intracorporeally using semi-rigid single-site instruments. Measurements and Main Results An exponential learning curve technique was used to analyze the learning curve. The overall mean (SD) vaginal cuff closure time was 23.2 (7) minutes. Learning curve analysis revealed a decrease in vaginal closure time after 14 procedures. Conclusions An experienced robotic surgeon requires approximately 14 procedures to achieve proficiency in intracorporeal cuff suturing during robotic single-site total hysterectomy. Novel instruments that create perfect triangulation are needed to overcome the current challenges of suturing and to shorten operative time.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>24952342</pmid><doi>10.1016/j.jmig.2014.06.006</doi><tpages>6</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1553-4650
ispartof Journal of minimally invasive gynecology, 2015-03, Vol.22 (3), p.384-389
issn 1553-4650
1553-4669
language eng
recordid cdi_proquest_miscellaneous_1661329065
source MEDLINE; Access via ScienceDirect (Elsevier)
subjects Adult
da Vinci Single-Site Platform
Feasibility Studies
Female
Humans
Hysterectomy - education
Hysterectomy - methods
Intracorporeal cuff suturing
Laparoendoscopic single-site surgery
Laparoscopy - education
Laparoscopy - methods
Learning Curve
Length of Stay
Middle Aged
Obstetrics and Gynecology
Operative Time
Retrospective Studies
Robotics - education
Robotics - methods
Surgery
Suture Techniques - education
Total hysterectomy
Treatment Outcome
title Learning Curve Analysis of Intracorporeal Cuff Suturing During Robotic Single-Site Total Hysterectomy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T10%3A26%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Learning%20Curve%20Analysis%20of%20Intracorporeal%20Cuff%20Suturing%20During%20Robotic%20Single-Site%20Total%20Hysterectomy&rft.jtitle=Journal%20of%20minimally%20invasive%20gynecology&rft.au=Akdemir,%20Ali,%20MD&rft.date=2015-03-01&rft.volume=22&rft.issue=3&rft.spage=384&rft.epage=389&rft.pages=384-389&rft.issn=1553-4650&rft.eissn=1553-4669&rft_id=info:doi/10.1016/j.jmig.2014.06.006&rft_dat=%3Cproquest_cross%3E1661329065%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1661329065&rft_id=info:pmid/24952342&rft_els_id=S1553465014003094&rfr_iscdi=true