Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images
Purpose To determine whether the interactive visualisation of patient-specific virtual 3D models of the renal anatomy influences the pre-operative decision-making process of urological surgeons for complex renal cancer operations. Methods Five historic renal cancer patient pre-operative computed tom...
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Veröffentlicht in: | International journal for computer assisted radiology and surgery 2019-04, Vol.14 (4), p.723-732 |
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container_title | International journal for computer assisted radiology and surgery |
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creator | Hyde, E. R. Berger, L. U. Ramachandran, N. Hughes-Hallett, A. Pavithran, N. P. Tran, M. G. B. Ourselin, S. Bex, A. Mumtaz, F. H. |
description | Purpose
To determine whether the interactive visualisation of patient-specific virtual 3D models of the renal anatomy influences the pre-operative decision-making process of urological surgeons for complex renal cancer operations.
Methods
Five historic renal cancer patient pre-operative computed tomography (CT) datasets were retrospectively selected based on RENAL nephrectomy score and variety of anatomy. Interactive virtual 3D models were generated for each dataset using image segmentation software and were made available for online visualisation and manipulation. Consultant urologists were invited to participate in the survey which consisted of CT and volume-rendered images (VRI) for the control arm, and CT with segmentation overlay and the virtual 3D model for the intervention arm. A questionnaire regarding anatomical structures, surgical approach, and confidence was administered.
Results
Twenty-five participants were recruited (54% response rate), with 19/25 having > 5 years of renal surgery experience. The median anatomical clarity score increased from 3 for the control to 5 for the intervention arm. A change in planned surgical approach was reported in 19% of cases. Virtual 3D models increased surgeon confidence in the surgical decisions in 4/5 patient datasets. There was a statistically significant improvement in surgeon opinion of the potential utility for decision-making purposes of virtual 3D models as compared to VRI at the multidisciplinary team meeting, theatre planning, and intra-operative stages.
Conclusion
The use of pre-operative interactive virtual 3D models for surgery planning influences surgical decision-making. Further studies are needed to investigate if the use of these models changes renal cancer surgery outcomes. |
doi_str_mv | 10.1007/s11548-019-01913-5 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6420910</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2191992586</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-5efd92aa1f4d298cc840e8ed05c54248cf6254370b5620cc6b21e692debdd4c03</originalsourceid><addsrcrecordid>eNp9kk2P1SAUhhujccbRP-DCkLhxUwUKbdmYmPFrkknc6Jpw4bTDpIUK9Cbzz_x5nt47Xj8WLgjknOe85wBvVT1n9DWjtHuTGZOirylT22JNLR9U56xvWd0Krh6ezoyeVU9yvqVUyK6Rj6uzhrY9bSk7r35chQLJ2OL3QPY-ldVMpHlP5uhgyiQOJEHAkDXBQiKLKR5CISaYEmcPmZipHOKpeMQCLDcJLObuSF7T6C0Gl8mE4MNIHFiffQxYFRzxwSYwGQ4gxEBsDIN3gI3wOKMkOFIi2cdpnaHGORxsIT-bEfLT6tFgpgzP7veL6tvHD18vP9fXXz5dXb67rq3oRKklDE5xY9ggHFe9tb2g0IOj0krBRW-HlkvRdHQnW06tbXecQau4g51zwtLmonp71F3W3QzO4u2TmfSScIx0p6Px-u9M8Dd6jHuNf0AV2wRe3Quk-H2FXPTss4UJHwXimjVnnRK8p6xD9OU_6G1cEz7_RimmFJd9ixQ_UjbFnBMMp2EY1Zsx9NEYGk2hD8bQEote_HmNU8kvJyDQHIGMqTBC-t37P7I_ARqqyew</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2191992586</pqid></control><display><type>article</type><title>Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images</title><source>MEDLINE</source><source>SpringerLink (Online service)</source><creator>Hyde, E. R. ; Berger, L. U. ; Ramachandran, N. ; Hughes-Hallett, A. ; Pavithran, N. P. ; Tran, M. G. B. ; Ourselin, S. ; Bex, A. ; Mumtaz, F. H.</creator><creatorcontrib>Hyde, E. R. ; Berger, L. U. ; Ramachandran, N. ; Hughes-Hallett, A. ; Pavithran, N. P. ; Tran, M. G. B. ; Ourselin, S. ; Bex, A. ; Mumtaz, F. H.</creatorcontrib><description>Purpose
To determine whether the interactive visualisation of patient-specific virtual 3D models of the renal anatomy influences the pre-operative decision-making process of urological surgeons for complex renal cancer operations.
Methods
Five historic renal cancer patient pre-operative computed tomography (CT) datasets were retrospectively selected based on RENAL nephrectomy score and variety of anatomy. Interactive virtual 3D models were generated for each dataset using image segmentation software and were made available for online visualisation and manipulation. Consultant urologists were invited to participate in the survey which consisted of CT and volume-rendered images (VRI) for the control arm, and CT with segmentation overlay and the virtual 3D model for the intervention arm. A questionnaire regarding anatomical structures, surgical approach, and confidence was administered.
Results
Twenty-five participants were recruited (54% response rate), with 19/25 having > 5 years of renal surgery experience. The median anatomical clarity score increased from 3 for the control to 5 for the intervention arm. A change in planned surgical approach was reported in 19% of cases. Virtual 3D models increased surgeon confidence in the surgical decisions in 4/5 patient datasets. There was a statistically significant improvement in surgeon opinion of the potential utility for decision-making purposes of virtual 3D models as compared to VRI at the multidisciplinary team meeting, theatre planning, and intra-operative stages.
Conclusion
The use of pre-operative interactive virtual 3D models for surgery planning influences surgical decision-making. Further studies are needed to investigate if the use of these models changes renal cancer surgery outcomes.</description><identifier>ISSN: 1861-6410</identifier><identifier>EISSN: 1861-6429</identifier><identifier>DOI: 10.1007/s11548-019-01913-5</identifier><identifier>PMID: 30680601</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Anatomy ; Cancer ; Clinical Competence ; Computed tomography ; Computer Imaging ; Computer Science ; Confidence ; Datasets ; Decision Making ; Decisions ; Female ; Health Informatics ; Humans ; Image manipulation ; Image segmentation ; Imaging ; Imaging, Three-Dimensional ; Kidney - diagnostic imaging ; Kidney - surgery ; Kidney cancer ; Kidney Neoplasms - diagnosis ; Kidney Neoplasms - surgery ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Nephrectomy - methods ; Original ; Original Article ; Pattern Recognition and Graphics ; Radiology ; Retrospective Studies ; Surgeons ; Surgeons - standards ; Surgery ; Three dimensional models ; Tomography, X-Ray Computed - methods ; Tumor Burden ; Virtual reality ; Vision ; Visualization</subject><ispartof>International journal for computer assisted radiology and surgery, 2019-04, Vol.14 (4), p.723-732</ispartof><rights>The Author(s) 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-5efd92aa1f4d298cc840e8ed05c54248cf6254370b5620cc6b21e692debdd4c03</citedby><cites>FETCH-LOGICAL-c474t-5efd92aa1f4d298cc840e8ed05c54248cf6254370b5620cc6b21e692debdd4c03</cites><orcidid>0000-0003-1595-1805 ; 0000-0002-9367-4105 ; 0000-0002-5694-5340 ; 0000-0002-6034-4433 ; 0000-0001-7063-7064 ; 0000-0002-5521-4140 ; 0000-0001-5498-8796</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11548-019-01913-5$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11548-019-01913-5$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30680601$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hyde, E. R.</creatorcontrib><creatorcontrib>Berger, L. U.</creatorcontrib><creatorcontrib>Ramachandran, N.</creatorcontrib><creatorcontrib>Hughes-Hallett, A.</creatorcontrib><creatorcontrib>Pavithran, N. P.</creatorcontrib><creatorcontrib>Tran, M. G. B.</creatorcontrib><creatorcontrib>Ourselin, S.</creatorcontrib><creatorcontrib>Bex, A.</creatorcontrib><creatorcontrib>Mumtaz, F. H.</creatorcontrib><title>Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images</title><title>International journal for computer assisted radiology and surgery</title><addtitle>Int J CARS</addtitle><addtitle>Int J Comput Assist Radiol Surg</addtitle><description>Purpose
To determine whether the interactive visualisation of patient-specific virtual 3D models of the renal anatomy influences the pre-operative decision-making process of urological surgeons for complex renal cancer operations.
Methods
Five historic renal cancer patient pre-operative computed tomography (CT) datasets were retrospectively selected based on RENAL nephrectomy score and variety of anatomy. Interactive virtual 3D models were generated for each dataset using image segmentation software and were made available for online visualisation and manipulation. Consultant urologists were invited to participate in the survey which consisted of CT and volume-rendered images (VRI) for the control arm, and CT with segmentation overlay and the virtual 3D model for the intervention arm. A questionnaire regarding anatomical structures, surgical approach, and confidence was administered.
Results
Twenty-five participants were recruited (54% response rate), with 19/25 having > 5 years of renal surgery experience. The median anatomical clarity score increased from 3 for the control to 5 for the intervention arm. A change in planned surgical approach was reported in 19% of cases. Virtual 3D models increased surgeon confidence in the surgical decisions in 4/5 patient datasets. There was a statistically significant improvement in surgeon opinion of the potential utility for decision-making purposes of virtual 3D models as compared to VRI at the multidisciplinary team meeting, theatre planning, and intra-operative stages.
Conclusion
The use of pre-operative interactive virtual 3D models for surgery planning influences surgical decision-making. Further studies are needed to investigate if the use of these models changes renal cancer surgery outcomes.</description><subject>Anatomy</subject><subject>Cancer</subject><subject>Clinical Competence</subject><subject>Computed tomography</subject><subject>Computer Imaging</subject><subject>Computer Science</subject><subject>Confidence</subject><subject>Datasets</subject><subject>Decision Making</subject><subject>Decisions</subject><subject>Female</subject><subject>Health Informatics</subject><subject>Humans</subject><subject>Image manipulation</subject><subject>Image segmentation</subject><subject>Imaging</subject><subject>Imaging, Three-Dimensional</subject><subject>Kidney - diagnostic imaging</subject><subject>Kidney - surgery</subject><subject>Kidney cancer</subject><subject>Kidney Neoplasms - diagnosis</subject><subject>Kidney Neoplasms - surgery</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nephrectomy - methods</subject><subject>Original</subject><subject>Original Article</subject><subject>Pattern Recognition and Graphics</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Surgeons</subject><subject>Surgeons - standards</subject><subject>Surgery</subject><subject>Three dimensional models</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Tumor Burden</subject><subject>Virtual reality</subject><subject>Vision</subject><subject>Visualization</subject><issn>1861-6410</issn><issn>1861-6429</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kk2P1SAUhhujccbRP-DCkLhxUwUKbdmYmPFrkknc6Jpw4bTDpIUK9Cbzz_x5nt47Xj8WLgjknOe85wBvVT1n9DWjtHuTGZOirylT22JNLR9U56xvWd0Krh6ezoyeVU9yvqVUyK6Rj6uzhrY9bSk7r35chQLJ2OL3QPY-ldVMpHlP5uhgyiQOJEHAkDXBQiKLKR5CISaYEmcPmZipHOKpeMQCLDcJLObuSF7T6C0Gl8mE4MNIHFiffQxYFRzxwSYwGQ4gxEBsDIN3gI3wOKMkOFIi2cdpnaHGORxsIT-bEfLT6tFgpgzP7veL6tvHD18vP9fXXz5dXb67rq3oRKklDE5xY9ggHFe9tb2g0IOj0krBRW-HlkvRdHQnW06tbXecQau4g51zwtLmonp71F3W3QzO4u2TmfSScIx0p6Px-u9M8Dd6jHuNf0AV2wRe3Quk-H2FXPTss4UJHwXimjVnnRK8p6xD9OU_6G1cEz7_RimmFJd9ixQ_UjbFnBMMp2EY1Zsx9NEYGk2hD8bQEote_HmNU8kvJyDQHIGMqTBC-t37P7I_ARqqyew</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Hyde, E. R.</creator><creator>Berger, L. U.</creator><creator>Ramachandran, N.</creator><creator>Hughes-Hallett, A.</creator><creator>Pavithran, N. P.</creator><creator>Tran, M. G. B.</creator><creator>Ourselin, S.</creator><creator>Bex, A.</creator><creator>Mumtaz, F. H.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><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><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1595-1805</orcidid><orcidid>https://orcid.org/0000-0002-9367-4105</orcidid><orcidid>https://orcid.org/0000-0002-5694-5340</orcidid><orcidid>https://orcid.org/0000-0002-6034-4433</orcidid><orcidid>https://orcid.org/0000-0001-7063-7064</orcidid><orcidid>https://orcid.org/0000-0002-5521-4140</orcidid><orcidid>https://orcid.org/0000-0001-5498-8796</orcidid></search><sort><creationdate>20190401</creationdate><title>Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images</title><author>Hyde, E. R. ; Berger, L. U. ; Ramachandran, N. ; Hughes-Hallett, A. ; Pavithran, N. P. ; Tran, M. G. B. ; Ourselin, S. ; Bex, A. ; Mumtaz, F. H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-5efd92aa1f4d298cc840e8ed05c54248cf6254370b5620cc6b21e692debdd4c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Anatomy</topic><topic>Cancer</topic><topic>Clinical Competence</topic><topic>Computed tomography</topic><topic>Computer Imaging</topic><topic>Computer Science</topic><topic>Confidence</topic><topic>Datasets</topic><topic>Decision Making</topic><topic>Decisions</topic><topic>Female</topic><topic>Health Informatics</topic><topic>Humans</topic><topic>Image manipulation</topic><topic>Image segmentation</topic><topic>Imaging</topic><topic>Imaging, Three-Dimensional</topic><topic>Kidney - diagnostic imaging</topic><topic>Kidney - surgery</topic><topic>Kidney cancer</topic><topic>Kidney Neoplasms - diagnosis</topic><topic>Kidney Neoplasms - surgery</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nephrectomy - methods</topic><topic>Original</topic><topic>Original Article</topic><topic>Pattern Recognition and Graphics</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Surgeons</topic><topic>Surgeons - standards</topic><topic>Surgery</topic><topic>Three dimensional models</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Tumor Burden</topic><topic>Virtual reality</topic><topic>Vision</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hyde, E. R.</creatorcontrib><creatorcontrib>Berger, L. U.</creatorcontrib><creatorcontrib>Ramachandran, N.</creatorcontrib><creatorcontrib>Hughes-Hallett, A.</creatorcontrib><creatorcontrib>Pavithran, N. P.</creatorcontrib><creatorcontrib>Tran, M. G. B.</creatorcontrib><creatorcontrib>Ourselin, S.</creatorcontrib><creatorcontrib>Bex, A.</creatorcontrib><creatorcontrib>Mumtaz, F. H.</creatorcontrib><collection>SpringerOpen</collection><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><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal for computer assisted radiology and surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hyde, E. R.</au><au>Berger, L. U.</au><au>Ramachandran, N.</au><au>Hughes-Hallett, A.</au><au>Pavithran, N. P.</au><au>Tran, M. G. B.</au><au>Ourselin, S.</au><au>Bex, A.</au><au>Mumtaz, F. H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images</atitle><jtitle>International journal for computer assisted radiology and surgery</jtitle><stitle>Int J CARS</stitle><addtitle>Int J Comput Assist Radiol Surg</addtitle><date>2019-04-01</date><risdate>2019</risdate><volume>14</volume><issue>4</issue><spage>723</spage><epage>732</epage><pages>723-732</pages><issn>1861-6410</issn><eissn>1861-6429</eissn><abstract>Purpose
To determine whether the interactive visualisation of patient-specific virtual 3D models of the renal anatomy influences the pre-operative decision-making process of urological surgeons for complex renal cancer operations.
Methods
Five historic renal cancer patient pre-operative computed tomography (CT) datasets were retrospectively selected based on RENAL nephrectomy score and variety of anatomy. Interactive virtual 3D models were generated for each dataset using image segmentation software and were made available for online visualisation and manipulation. Consultant urologists were invited to participate in the survey which consisted of CT and volume-rendered images (VRI) for the control arm, and CT with segmentation overlay and the virtual 3D model for the intervention arm. A questionnaire regarding anatomical structures, surgical approach, and confidence was administered.
Results
Twenty-five participants were recruited (54% response rate), with 19/25 having > 5 years of renal surgery experience. The median anatomical clarity score increased from 3 for the control to 5 for the intervention arm. A change in planned surgical approach was reported in 19% of cases. Virtual 3D models increased surgeon confidence in the surgical decisions in 4/5 patient datasets. There was a statistically significant improvement in surgeon opinion of the potential utility for decision-making purposes of virtual 3D models as compared to VRI at the multidisciplinary team meeting, theatre planning, and intra-operative stages.
Conclusion
The use of pre-operative interactive virtual 3D models for surgery planning influences surgical decision-making. Further studies are needed to investigate if the use of these models changes renal cancer surgery outcomes.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>30680601</pmid><doi>10.1007/s11548-019-01913-5</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-1595-1805</orcidid><orcidid>https://orcid.org/0000-0002-9367-4105</orcidid><orcidid>https://orcid.org/0000-0002-5694-5340</orcidid><orcidid>https://orcid.org/0000-0002-6034-4433</orcidid><orcidid>https://orcid.org/0000-0001-7063-7064</orcidid><orcidid>https://orcid.org/0000-0002-5521-4140</orcidid><orcidid>https://orcid.org/0000-0001-5498-8796</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Anatomy Cancer Clinical Competence Computed tomography Computer Imaging Computer Science Confidence Datasets Decision Making Decisions Female Health Informatics Humans Image manipulation Image segmentation Imaging Imaging, Three-Dimensional Kidney - diagnostic imaging Kidney - surgery Kidney cancer Kidney Neoplasms - diagnosis Kidney Neoplasms - surgery Male Medical imaging Medicine Medicine & Public Health Nephrectomy - methods Original Original Article Pattern Recognition and Graphics Radiology Retrospective Studies Surgeons Surgeons - standards Surgery Three dimensional models Tomography, X-Ray Computed - methods Tumor Burden Virtual reality Vision Visualization |
title | Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images |
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