Robotic anatomic lung resections: the initial experience and description of learning in 102 cases
Background The aim of this study was to analyze our initial pulmonary resection experience with robotic surgery (Da Vinci, Intuitive Surgical, Inc., Mountain View, California, USA) and define the learning curve based on the duration of operations. Methods A retrospective review was conducted on pati...
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Veröffentlicht in: | Surgical endoscopy 2016-02, Vol.30 (2), p.676-683 |
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description | Background
The aim of this study was to analyze our initial pulmonary resection experience with robotic surgery (Da Vinci, Intuitive Surgical, Inc., Mountain View, California, USA) and define the learning curve based on the duration of operations.
Methods
A retrospective review was conducted on patients undergoing robotic pulmonary resections from October 2011 to December 2014. The operating time, including the docking and console times, postoperative hospitalization, and peri- and postoperative complications were studied.
Results
Hundred patients underwent 102 robotic anatomic pulmonary resections due to various pathologies. Fifty-three percent of the patients underwent lobectomy procedure, whereas 45 % underwent segmentectomy. The mean operating time was 104 ± 34 min. The learning curve was calculated to be 14 patients (
R
2
= 0.57). The complication rate in our series was 24 % (
n
= 24) and higher in elderly patients (
p
= 0.03) and in patients with longer operating times (
p
= 0.03). Prolonged air leaks were observed in 10, and arrhythmia developed in nine patients. Two patients died, due to a concurrent lymphoblastic leukemia diagnosed at the postoperative period and exacerbation of interstitial fibrosis, respectively.
Conclusions
Robotic pulmonary resections prove to be safe and effective even at the initial learning experience. The duration of operations is considered to be acceptable. The learning curve could be established after 14 cases. |
doi_str_mv | 10.1007/s00464-015-4259-x |
format | Article |
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The aim of this study was to analyze our initial pulmonary resection experience with robotic surgery (Da Vinci, Intuitive Surgical, Inc., Mountain View, California, USA) and define the learning curve based on the duration of operations.
Methods
A retrospective review was conducted on patients undergoing robotic pulmonary resections from October 2011 to December 2014. The operating time, including the docking and console times, postoperative hospitalization, and peri- and postoperative complications were studied.
Results
Hundred patients underwent 102 robotic anatomic pulmonary resections due to various pathologies. Fifty-three percent of the patients underwent lobectomy procedure, whereas 45 % underwent segmentectomy. The mean operating time was 104 ± 34 min. The learning curve was calculated to be 14 patients (
R
2
= 0.57). The complication rate in our series was 24 % (
n
= 24) and higher in elderly patients (
p
= 0.03) and in patients with longer operating times (
p
= 0.03). Prolonged air leaks were observed in 10, and arrhythmia developed in nine patients. Two patients died, due to a concurrent lymphoblastic leukemia diagnosed at the postoperative period and exacerbation of interstitial fibrosis, respectively.
Conclusions
Robotic pulmonary resections prove to be safe and effective even at the initial learning experience. The duration of operations is considered to be acceptable. The learning curve could be established after 14 cases.</description><identifier>ISSN: 0930-2794</identifier><identifier>EISSN: 1432-2218</identifier><identifier>DOI: 10.1007/s00464-015-4259-x</identifier><identifier>PMID: 26091996</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Abdominal Surgery ; Adult ; Aged ; Aged, 80 and over ; Chest tubes ; Dissection ; Female ; Follow-Up Studies ; Gastroenterology ; Gynecology ; Hepatology ; Humans ; Learning Curve ; Learning curves ; Length of Stay - statistics & numerical data ; Lung cancer ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Operative Time ; Outcome Assessment (Health Care) ; Pneumonectomy - methods ; Postoperative Complications - epidemiology ; Proctology ; Retrospective Studies ; Robotic surgery ; Robotic Surgical Procedures - methods ; Surgeons ; Surgery ; Thoracic surgery ; Thymus gland ; Tomography</subject><ispartof>Surgical endoscopy, 2016-02, Vol.30 (2), p.676-683</ispartof><rights>Springer Science+Business Media New York 2015</rights><rights>Springer Science+Business Media New York 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c508t-90392f87dce2732c26356c6a24f874acca25d501317e1812d6aa9c0de9aa1c553</citedby><cites>FETCH-LOGICAL-c508t-90392f87dce2732c26356c6a24f874acca25d501317e1812d6aa9c0de9aa1c553</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/s00464-015-4259-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00464-015-4259-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26091996$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Toker, Alper</creatorcontrib><creatorcontrib>Özyurtkan, Mehmet Oğuzhan</creatorcontrib><creatorcontrib>Kaba, Erkan</creatorcontrib><creatorcontrib>Ayalp, Kemal</creatorcontrib><creatorcontrib>Demirhan, Özkan</creatorcontrib><creatorcontrib>Uyumaz, Elena</creatorcontrib><title>Robotic anatomic lung resections: the initial experience and description of learning in 102 cases</title><title>Surgical endoscopy</title><addtitle>Surg Endosc</addtitle><addtitle>Surg Endosc</addtitle><description>Background
The aim of this study was to analyze our initial pulmonary resection experience with robotic surgery (Da Vinci, Intuitive Surgical, Inc., Mountain View, California, USA) and define the learning curve based on the duration of operations.
Methods
A retrospective review was conducted on patients undergoing robotic pulmonary resections from October 2011 to December 2014. The operating time, including the docking and console times, postoperative hospitalization, and peri- and postoperative complications were studied.
Results
Hundred patients underwent 102 robotic anatomic pulmonary resections due to various pathologies. Fifty-three percent of the patients underwent lobectomy procedure, whereas 45 % underwent segmentectomy. The mean operating time was 104 ± 34 min. The learning curve was calculated to be 14 patients (
R
2
= 0.57). The complication rate in our series was 24 % (
n
= 24) and higher in elderly patients (
p
= 0.03) and in patients with longer operating times (
p
= 0.03). Prolonged air leaks were observed in 10, and arrhythmia developed in nine patients. Two patients died, due to a concurrent lymphoblastic leukemia diagnosed at the postoperative period and exacerbation of interstitial fibrosis, respectively.
Conclusions
Robotic pulmonary resections prove to be safe and effective even at the initial learning experience. The duration of operations is considered to be acceptable. The learning curve could be established after 14 cases.</description><subject>Abdominal Surgery</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Chest tubes</subject><subject>Dissection</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gastroenterology</subject><subject>Gynecology</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Learning Curve</subject><subject>Learning curves</subject><subject>Length of Stay - statistics & numerical data</subject><subject>Lung cancer</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Operative Time</subject><subject>Outcome Assessment (Health Care)</subject><subject>Pneumonectomy - methods</subject><subject>Postoperative Complications - epidemiology</subject><subject>Proctology</subject><subject>Retrospective Studies</subject><subject>Robotic surgery</subject><subject>Robotic Surgical Procedures - methods</subject><subject>Surgeons</subject><subject>Surgery</subject><subject>Thoracic surgery</subject><subject>Thymus gland</subject><subject>Tomography</subject><issn>0930-2794</issn><issn>1432-2218</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kMFqGzEQhkVpqR23D9BLEPTSy6YzWmnXyi2YNgkYAiE5C1k7dmXWkiPtgvP2kXEaQqEnDZrv_yU-xr4hXCBA-zMDyEZWgKqSQunq8IFNUdaiEgLnH9kUdA2VaLWcsLOct1Bwjeozm4gGNGrdTJm9j6s4eMdtsEPclaEfw4YnyuQGH0O-5MMf4j74wdue02FPyVNwVAId7yi75PdHkMc178mm4EvcB44guLOZ8hf2aW37TF9fzxl7_P3rYXFTLe-ubxdXy8opmA-VhlqL9bztHIm2Fk40tWpcY4Usl9I6Z4XqFGCNLeEcRddYqx10pK1Fp1Q9Yz9OvfsUn0bKg9n57KjvbaA4ZoNtI2opQbcF_f4Puo1jCuV3RwoLp1pZKDxRLsWcE63NPvmdTc8GwRz9m5N_U_ybo39zKJnz1-ZxtaPuLfFXeAHECchlFTaU3j3939YXZsOP-Q</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Toker, Alper</creator><creator>Özyurtkan, Mehmet Oğuzhan</creator><creator>Kaba, Erkan</creator><creator>Ayalp, Kemal</creator><creator>Demirhan, Özkan</creator><creator>Uyumaz, Elena</creator><general>Springer US</general><general>Springer Nature B.V</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20160201</creationdate><title>Robotic anatomic lung resections: the initial experience and description of learning in 102 cases</title><author>Toker, Alper ; Özyurtkan, Mehmet Oğuzhan ; Kaba, Erkan ; Ayalp, Kemal ; Demirhan, Özkan ; Uyumaz, Elena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c508t-90392f87dce2732c26356c6a24f874acca25d501317e1812d6aa9c0de9aa1c553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Abdominal Surgery</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Chest tubes</topic><topic>Dissection</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gastroenterology</topic><topic>Gynecology</topic><topic>Hepatology</topic><topic>Humans</topic><topic>Learning Curve</topic><topic>Learning curves</topic><topic>Length of Stay - statistics & numerical data</topic><topic>Lung cancer</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Operative Time</topic><topic>Outcome Assessment (Health Care)</topic><topic>Pneumonectomy - methods</topic><topic>Postoperative Complications - epidemiology</topic><topic>Proctology</topic><topic>Retrospective Studies</topic><topic>Robotic surgery</topic><topic>Robotic Surgical Procedures - methods</topic><topic>Surgeons</topic><topic>Surgery</topic><topic>Thoracic surgery</topic><topic>Thymus gland</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toker, Alper</creatorcontrib><creatorcontrib>Özyurtkan, Mehmet Oğuzhan</creatorcontrib><creatorcontrib>Kaba, Erkan</creatorcontrib><creatorcontrib>Ayalp, Kemal</creatorcontrib><creatorcontrib>Demirhan, Özkan</creatorcontrib><creatorcontrib>Uyumaz, Elena</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</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>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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</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>Surgical endoscopy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Toker, Alper</au><au>Özyurtkan, Mehmet Oğuzhan</au><au>Kaba, Erkan</au><au>Ayalp, Kemal</au><au>Demirhan, Özkan</au><au>Uyumaz, Elena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robotic anatomic lung resections: the initial experience and description of learning in 102 cases</atitle><jtitle>Surgical endoscopy</jtitle><stitle>Surg Endosc</stitle><addtitle>Surg Endosc</addtitle><date>2016-02-01</date><risdate>2016</risdate><volume>30</volume><issue>2</issue><spage>676</spage><epage>683</epage><pages>676-683</pages><issn>0930-2794</issn><eissn>1432-2218</eissn><abstract>Background
The aim of this study was to analyze our initial pulmonary resection experience with robotic surgery (Da Vinci, Intuitive Surgical, Inc., Mountain View, California, USA) and define the learning curve based on the duration of operations.
Methods
A retrospective review was conducted on patients undergoing robotic pulmonary resections from October 2011 to December 2014. The operating time, including the docking and console times, postoperative hospitalization, and peri- and postoperative complications were studied.
Results
Hundred patients underwent 102 robotic anatomic pulmonary resections due to various pathologies. Fifty-three percent of the patients underwent lobectomy procedure, whereas 45 % underwent segmentectomy. The mean operating time was 104 ± 34 min. The learning curve was calculated to be 14 patients (
R
2
= 0.57). The complication rate in our series was 24 % (
n
= 24) and higher in elderly patients (
p
= 0.03) and in patients with longer operating times (
p
= 0.03). Prolonged air leaks were observed in 10, and arrhythmia developed in nine patients. Two patients died, due to a concurrent lymphoblastic leukemia diagnosed at the postoperative period and exacerbation of interstitial fibrosis, respectively.
Conclusions
Robotic pulmonary resections prove to be safe and effective even at the initial learning experience. The duration of operations is considered to be acceptable. The learning curve could be established after 14 cases.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>26091996</pmid><doi>10.1007/s00464-015-4259-x</doi><tpages>8</tpages></addata></record> |
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source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Abdominal Surgery Adult Aged Aged, 80 and over Chest tubes Dissection Female Follow-Up Studies Gastroenterology Gynecology Hepatology Humans Learning Curve Learning curves Length of Stay - statistics & numerical data Lung cancer Male Medicine Medicine & Public Health Middle Aged Operative Time Outcome Assessment (Health Care) Pneumonectomy - methods Postoperative Complications - epidemiology Proctology Retrospective Studies Robotic surgery Robotic Surgical Procedures - methods Surgeons Surgery Thoracic surgery Thymus gland Tomography |
title | Robotic anatomic lung resections: the initial experience and description of learning in 102 cases |
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