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...
Gespeichert in:
Veröffentlicht in: | Journal of minimally invasive gynecology 2015-03, Vol.22 (3), p.384-389 |
---|---|
Hauptverfasser: | , , , , |
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 |