Experience related factors compensate for haptic loss in robot-assisted laparoscopic surgery.
Identifieur interne : 002C07 ( Ncbi/Merge ); précédent : 002C06; suivant : 002C08Experience related factors compensate for haptic loss in robot-assisted laparoscopic surgery.
Auteurs : Thomas P. Cundy [Royaume-Uni] ; Nicholas E. Gattas ; Guang-Zhong Yang ; Ara Darzi ; Azad S. NajmaldinSource :
- Journal of endourology / Endourological Society [ 1557-900X ] ; 2014.
English descriptors
- KwdEn :
- Adolescent, Awareness (physiology), Child, Clinical Competence, Feedback, Sensory (physiology), Female, Humans, Kidney Pelvis (surgery), Laparoscopy (methods), Laparoscopy (standards), Learning Curve, Male, Needles (statistics & numerical data), Robotics (instrumentation), Robotics (methods), Surgical Instruments (statistics & numerical data), Suture Techniques (instrumentation), Sutures (statistics & numerical data), Time Factors.
- MESH :
- instrumentation : Robotics, Suture Techniques.
- methods : Laparoscopy, Robotics.
- physiology : Awareness, Feedback, Sensory.
- standards : Laparoscopy.
- statistics & numerical data : Needles, Surgical Instruments, Sutures.
- surgery : Kidney Pelvis.
- Adolescent, Child, Clinical Competence, Female, Humans, Learning Curve, Male, Time Factors.
Abstract
Surgeons anecdotally report awareness of nontactile sensory cues that compensate for absent haptic feedback in robot-assisted surgery. This study investigates this poorly understood adaptive process by evaluating frequency of in vivo suture damage.
DOI: 10.1089/end.2013.0671
PubMed: 24397464
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Cundy</name><affiliation wicri:level="3"><nlm:affiliation>1 The Hamlyn Centre, Institute of Global Health Innovation , St. Mary's Hospital, Imperial College London, London, United Kingdom .</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>1 The Hamlyn Centre, Institute of Global Health Innovation , St. Mary's Hospital, Imperial College London, London</wicri:regionArea><placeName><settlement type="city">Londres</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Grand Londres</region></placeName></affiliation></author><author><name sortKey="Gattas, Nicholas E" sort="Gattas, Nicholas E" uniqKey="Gattas N" first="Nicholas E" last="Gattas">Nicholas E. Gattas</name></author><author><name sortKey="Yang, Guang Zhong" sort="Yang, Guang Zhong" uniqKey="Yang G" first="Guang-Zhong" last="Yang">Guang-Zhong Yang</name></author><author><name sortKey="Darzi, Ara" sort="Darzi, Ara" uniqKey="Darzi A" first="Ara" last="Darzi">Ara Darzi</name></author><author><name sortKey="Najmaldin, Azad S" sort="Najmaldin, Azad S" uniqKey="Najmaldin A" first="Azad S" last="Najmaldin">Azad S. Najmaldin</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="doi">10.1089/end.2013.0671</idno><idno type="RBID">pubmed:24397464</idno><idno type="pmid">24397464</idno><idno type="wicri:Area/PubMed/Corpus">000779</idno><idno type="wicri:Area/PubMed/Curation">000779</idno><idno type="wicri:Area/PubMed/Checkpoint">000655</idno><idno type="wicri:Area/Ncbi/Merge">002C07</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Experience related factors compensate for haptic loss in robot-assisted laparoscopic surgery.</title><author><name sortKey="Cundy, Thomas P" sort="Cundy, Thomas P" uniqKey="Cundy T" first="Thomas P" last="Cundy">Thomas P. Cundy</name><affiliation wicri:level="3"><nlm:affiliation>1 The Hamlyn Centre, Institute of Global Health Innovation , St. Mary's Hospital, Imperial College London, London, United Kingdom .</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>1 The Hamlyn Centre, Institute of Global Health Innovation , St. Mary's Hospital, Imperial College London, London</wicri:regionArea><placeName><settlement type="city">Londres</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Grand Londres</region></placeName></affiliation></author><author><name sortKey="Gattas, Nicholas E" sort="Gattas, Nicholas E" uniqKey="Gattas N" first="Nicholas E" last="Gattas">Nicholas E. Gattas</name></author><author><name sortKey="Yang, Guang Zhong" sort="Yang, Guang Zhong" uniqKey="Yang G" first="Guang-Zhong" last="Yang">Guang-Zhong Yang</name></author><author><name sortKey="Darzi, Ara" sort="Darzi, Ara" uniqKey="Darzi A" first="Ara" last="Darzi">Ara Darzi</name></author><author><name sortKey="Najmaldin, Azad S" sort="Najmaldin, Azad S" uniqKey="Najmaldin A" first="Azad S" last="Najmaldin">Azad S. Najmaldin</name></author></analytic><series><title level="j">Journal of endourology / Endourological Society</title><idno type="eISSN">1557-900X</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Awareness (physiology)</term><term>Child</term><term>Clinical Competence</term><term>Feedback, Sensory (physiology)</term><term>Female</term><term>Humans</term><term>Kidney Pelvis (surgery)</term><term>Laparoscopy (methods)</term><term>Laparoscopy (standards)</term><term>Learning Curve</term><term>Male</term><term>Needles (statistics & numerical data)</term><term>Robotics (instrumentation)</term><term>Robotics (methods)</term><term>Surgical Instruments (statistics & numerical data)</term><term>Suture Techniques (instrumentation)</term><term>Sutures (statistics & numerical data)</term><term>Time Factors</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Robotics</term><term>Suture Techniques</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Laparoscopy</term><term>Robotics</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Awareness</term><term>Feedback, Sensory</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Laparoscopy</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Needles</term><term>Surgical Instruments</term><term>Sutures</term></keywords><keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Kidney Pelvis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Child</term><term>Clinical Competence</term><term>Female</term><term>Humans</term><term>Learning Curve</term><term>Male</term><term>Time Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Surgeons anecdotally report awareness of nontactile sensory cues that compensate for absent haptic feedback in robot-assisted surgery. This study investigates this poorly understood adaptive process by evaluating frequency of in vivo suture damage.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">24397464</PMID><DateCreated><Year>2014</Year><Month>04</Month><Day>21</Day></DateCreated><DateCompleted><Year>2014</Year><Month>07</Month><Day>10</Day></DateCompleted><DateRevised><Year>2015</Year><Month>07</Month><Day>08</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1557-900X</ISSN><JournalIssue CitedMedium="Internet"><Volume>28</Volume><Issue>5</Issue><PubDate><Year>2014</Year><Month>May</Month></PubDate></JournalIssue><Title>Journal of endourology / Endourological Society</Title><ISOAbbreviation>J. Endourol.</ISOAbbreviation></Journal><ArticleTitle>Experience related factors compensate for haptic loss in robot-assisted laparoscopic surgery.</ArticleTitle><Pagination><MedlinePgn>532-8</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1089/end.2013.0671</ELocationID><Abstract><AbstractText Label="BACKGROUND AND PURPOSE" NlmCategory="OBJECTIVE">Surgeons anecdotally report awareness of nontactile sensory cues that compensate for absent haptic feedback in robot-assisted surgery. This study investigates this poorly understood adaptive process by evaluating frequency of in vivo suture damage.</AbstractText><AbstractText Label="PATIENTS AND METHODS" NlmCategory="METHODS">Consecutive cases of children undergoing robot-assisted dismembered pyeloplasty were examined. Suture damage was defined as incomplete (i.e., fraying) or complete (i.e., broken) loss of thread integrity and prospectively recorded with clinical data. Suture technique, size, and robotic instruments used for suturing were subjected to post hoc analysis. Statistical analysis was undertaken using appropriate nonparametric tests.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Overall frequency of suture damage was 2.6% among 1135 sutures used in 52 patients. The mean number of sutures used for cases in this series was 22 (standard deviation±6). There was a significant inverse trend between surgeon experience and suture damage frequency (P=0.014), implying that greater surgeon experience was associated with less suture damage. The impact of experience on suture damage was most apparent when comparing the earliest quartile subgroup (Q1) with the later three quartile subgroups (Q2-Q4) (P<0.001). Plateau of suture damage frequency was seen after approximately 28 cases. Continuous sutures had significantly higher damage frequency compared with interrupted sutures (P=0.022). Significantly higher frequency of suture damage was seen with cases in which forceps instruments were used for suturing compared with paired needle drivers (1.4% vs 7.1%, P<0.001). All events of inadvertent tissue injury involved damage to exposed edges of the renal pelvis (n=5).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Suture damage is likely to be encountered during the learning curve of robot-assisted surgery but decreases with surgeon experience. Preferential use of larger suture size, interrupted sutures, and paired needle driver instruments may help to minimize suture damage. Experience-related perceptual skills that compensate for haptic loss are likely to be acquirable in a preclinical simulation environment.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Cundy</LastName><ForeName>Thomas P</ForeName><Initials>TP</Initials><AffiliationInfo><Affiliation>1 The Hamlyn Centre, Institute of Global Health Innovation , St. Mary's Hospital, Imperial College London, London, United Kingdom .</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gattas</LastName><ForeName>Nicholas E</ForeName><Initials>NE</Initials></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Guang-Zhong</ForeName><Initials>GZ</Initials></Author><Author ValidYN="Y"><LastName>Darzi</LastName><ForeName>Ara</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Najmaldin</LastName><ForeName>Azad S</ForeName><Initials>AS</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>02</Month><Day>07</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Endourol</MedlineTA><NlmUniqueID>8807503</NlmUniqueID><ISSNLinking>0892-7790</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000293">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001364">Awareness</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D002648">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D002983">Clinical Competence</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D056228">Feedback, Sensory</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007682">Kidney Pelvis</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000601">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010535">Laparoscopy</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000592">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D059032">Learning Curve</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009339">Needles</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000706">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D012371">Robotics</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000295">instrumentation</QualifierName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013525">Surgical Instruments</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000706">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013536">Suture Techniques</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D013537">Sutures</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000706">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013997">Time Factors</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="aheadofprint"><Year>2014</Year><Month>2</Month><Day>7</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>1</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>1</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>7</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1089/end.2013.0671</ArticleId><ArticleId IdType="pubmed">24397464</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Royaume-Uni</li></country><region><li>Angleterre</li><li>Grand Londres</li></region><settlement><li>Londres</li></settlement></list><tree><noCountry><name sortKey="Darzi, Ara" sort="Darzi, Ara" uniqKey="Darzi A" first="Ara" last="Darzi">Ara Darzi</name><name sortKey="Gattas, Nicholas E" sort="Gattas, Nicholas E" uniqKey="Gattas N" first="Nicholas E" last="Gattas">Nicholas E. Gattas</name><name sortKey="Najmaldin, Azad S" sort="Najmaldin, Azad S" uniqKey="Najmaldin A" first="Azad S" last="Najmaldin">Azad S. Najmaldin</name><name sortKey="Yang, Guang Zhong" sort="Yang, Guang Zhong" uniqKey="Yang G" first="Guang-Zhong" last="Yang">Guang-Zhong Yang</name></noCountry><country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Cundy, Thomas P" sort="Cundy, Thomas P" uniqKey="Cundy T" first="Thomas P" last="Cundy">Thomas P. Cundy</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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