Development of an educational method to rethink and learn oncological brain surgery in an “a la carte” connectome-based perspective
Background Understanding the structural connectivity of white matter tracts (WMT) and their related functions is a prerequisite to implementing an “a la carte” “connectomic approach” to glioma surgery. However, accessible resources facilitating such an approach are lacking. Here we present an educat...
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description | Background
Understanding the structural connectivity of white matter tracts (WMT) and their related functions is a prerequisite to implementing an “a la carte” “connectomic approach” to glioma surgery. However, accessible resources facilitating such an approach are lacking. Here we present an educational method that is readily accessible, simple, and reproducible that enables the visualization of WMTs on individual patient images via an atlas-based approach.
Methods
Our method uses the patient’s own magnetic resonance imaging (MRI) images and consists of three main steps: data conversion, normalization, and visualization; these are accomplished using accessible software packages and WMT atlases. We implement our method on three common cases encountered in glioma surgery: a right supplementary motor area tumor, a left insular tumor, and a left temporal tumor.
Results
Using patient-specific perioperative MRIs with open-sourced and co-registered atlas-derived WMTs, we highlight the critical subnetworks requiring specific surgical monitoring identified intraoperatively using direct electrostimulation mapping with cognitive monitoring. The aim of this didactic method is to provide the neurosurgical oncology community with an accessible and ready-to-use educational tool, enabling neurosurgeons to improve their knowledge of WMTs and to better learn their oncologic cases, especially in glioma surgery using awake mapping.
Conclusions
Taking no more than 3–5 min per patient and irrespective of their resource settings, we believe that this method will enable junior surgeons to develop an intuition, and a robust 3-dimensional imagery of WMT by regularly applying it to their cases both before and after surgery to develop an “a la carte” connectome-based perspective to glioma surgery. |
doi_str_mv | 10.1007/s00701-023-05626-2 |
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Understanding the structural connectivity of white matter tracts (WMT) and their related functions is a prerequisite to implementing an “a la carte” “connectomic approach” to glioma surgery. However, accessible resources facilitating such an approach are lacking. Here we present an educational method that is readily accessible, simple, and reproducible that enables the visualization of WMTs on individual patient images via an atlas-based approach.
Methods
Our method uses the patient’s own magnetic resonance imaging (MRI) images and consists of three main steps: data conversion, normalization, and visualization; these are accomplished using accessible software packages and WMT atlases. We implement our method on three common cases encountered in glioma surgery: a right supplementary motor area tumor, a left insular tumor, and a left temporal tumor.
Results
Using patient-specific perioperative MRIs with open-sourced and co-registered atlas-derived WMTs, we highlight the critical subnetworks requiring specific surgical monitoring identified intraoperatively using direct electrostimulation mapping with cognitive monitoring. The aim of this didactic method is to provide the neurosurgical oncology community with an accessible and ready-to-use educational tool, enabling neurosurgeons to improve their knowledge of WMTs and to better learn their oncologic cases, especially in glioma surgery using awake mapping.
Conclusions
Taking no more than 3–5 min per patient and irrespective of their resource settings, we believe that this method will enable junior surgeons to develop an intuition, and a robust 3-dimensional imagery of WMT by regularly applying it to their cases both before and after surgery to develop an “a la carte” connectome-based perspective to glioma surgery.</description><identifier>ISSN: 0942-0940</identifier><identifier>ISSN: 0001-6268</identifier><identifier>EISSN: 0942-0940</identifier><identifier>DOI: 10.1007/s00701-023-05626-2</identifier><identifier>PMID: 37199758</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Brain cancer ; Cognitive ability ; Computer Science ; Glioma ; Human health and pathology ; Interventional Radiology ; Life Sciences ; Magnetic resonance imaging ; Mapping ; Medical Imaging ; Medicine ; Medicine & Public Health ; Minimally Invasive Surgery ; Neural networks ; Neuroimaging ; Neurology ; Neurons and Cognition ; Neuroradiology ; Neurosurgery ; Substantia alba ; Supplementary motor area ; Surgery ; Surgical Orthopedics ; Technical Note ; Tumor – Glioma ; Tumors</subject><ispartof>Acta neurochirurgica, 2023-09, Vol.165 (9), p.2489-2500</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2023</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2023.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-9a582873039da521153ce5f8ac90e849748c3169e6ae21826dd78703332ab2ad3</citedby><cites>FETCH-LOGICAL-c409t-9a582873039da521153ce5f8ac90e849748c3169e6ae21826dd78703332ab2ad3</cites><orcidid>0000-0002-6788-8003 ; 0000-0001-7232-319X</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/s00701-023-05626-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00701-023-05626-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37199758$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04119239$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Valdes, Pablo A.</creatorcontrib><creatorcontrib>Ng, Sam</creatorcontrib><creatorcontrib>Bernstock, Joshua D.</creatorcontrib><creatorcontrib>Duffau, Hugues</creatorcontrib><title>Development of an educational method to rethink and learn oncological brain surgery in an “a la carte” connectome-based perspective</title><title>Acta neurochirurgica</title><addtitle>Acta Neurochir</addtitle><addtitle>Acta Neurochir (Wien)</addtitle><description>Background
Understanding the structural connectivity of white matter tracts (WMT) and their related functions is a prerequisite to implementing an “a la carte” “connectomic approach” to glioma surgery. However, accessible resources facilitating such an approach are lacking. Here we present an educational method that is readily accessible, simple, and reproducible that enables the visualization of WMTs on individual patient images via an atlas-based approach.
Methods
Our method uses the patient’s own magnetic resonance imaging (MRI) images and consists of three main steps: data conversion, normalization, and visualization; these are accomplished using accessible software packages and WMT atlases. We implement our method on three common cases encountered in glioma surgery: a right supplementary motor area tumor, a left insular tumor, and a left temporal tumor.
Results
Using patient-specific perioperative MRIs with open-sourced and co-registered atlas-derived WMTs, we highlight the critical subnetworks requiring specific surgical monitoring identified intraoperatively using direct electrostimulation mapping with cognitive monitoring. The aim of this didactic method is to provide the neurosurgical oncology community with an accessible and ready-to-use educational tool, enabling neurosurgeons to improve their knowledge of WMTs and to better learn their oncologic cases, especially in glioma surgery using awake mapping.
Conclusions
Taking no more than 3–5 min per patient and irrespective of their resource settings, we believe that this method will enable junior surgeons to develop an intuition, and a robust 3-dimensional imagery of WMT by regularly applying it to their cases both before and after surgery to develop an “a la carte” connectome-based perspective to glioma surgery.</description><subject>Brain cancer</subject><subject>Cognitive ability</subject><subject>Computer Science</subject><subject>Glioma</subject><subject>Human health and pathology</subject><subject>Interventional Radiology</subject><subject>Life Sciences</subject><subject>Magnetic resonance imaging</subject><subject>Mapping</subject><subject>Medical Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Minimally Invasive Surgery</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Neurons and Cognition</subject><subject>Neuroradiology</subject><subject>Neurosurgery</subject><subject>Substantia alba</subject><subject>Supplementary motor area</subject><subject>Surgery</subject><subject>Surgical Orthopedics</subject><subject>Technical Note</subject><subject>Tumor – Glioma</subject><subject>Tumors</subject><issn>0942-0940</issn><issn>0001-6268</issn><issn>0942-0940</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kb1uFTEQhS1ERELgBSiQJRooNvhnf-wyCpAgXYkGamuuPTfZ4LUXe_dK6dLlJcLL5UnwzYaAKGjGR-Nvzlg-hLzi7Igz1r3PpTBeMSEr1rSircQTcsB0LapS2NO_9D55nvMlY1x0tXxG9mXHte4adUBuPuAWfRwHDBONGwqBopstTH0M4OmA00V0dIo0FdWH7wVw1COkQGOw0cfz3hZunaAPNM_pHNMVLbL43F3fAvVALaQJ765_UhtDQDvFAas1ZHR0xJTH0um3-ILsbcBnfPlwHpJvnz5-PTmrVl9OP58crypbMz1VGholVCeZ1A4awXkjLTYbBVYzVLXuamUlbzW2gIIr0TrXqY5JKQWsBTh5SN4tvhfgzZj6AdKVidCbs-OV2fVYzbkWUm95Yd8u7JjijxnzZIY-W_QeAsY5G6F4I2rVyqagb_5BL-Ocyg_uqJbVdcv1jhILZVPMOeHm8QWcmV2kZonUlEjNfaRGlKHXD9bzekD3OPI7wwLIBcjlKpQA_uz-j-0vQQ6tKQ</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Valdes, Pablo A.</creator><creator>Ng, Sam</creator><creator>Bernstock, Joshua D.</creator><creator>Duffau, Hugues</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7U9</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>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-6788-8003</orcidid><orcidid>https://orcid.org/0000-0001-7232-319X</orcidid></search><sort><creationdate>20230901</creationdate><title>Development of an educational method to rethink and learn oncological brain surgery in an “a la carte” connectome-based perspective</title><author>Valdes, Pablo A. ; Ng, Sam ; Bernstock, Joshua D. ; Duffau, Hugues</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-9a582873039da521153ce5f8ac90e849748c3169e6ae21826dd78703332ab2ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Brain cancer</topic><topic>Cognitive ability</topic><topic>Computer Science</topic><topic>Glioma</topic><topic>Human health and pathology</topic><topic>Interventional Radiology</topic><topic>Life Sciences</topic><topic>Magnetic resonance imaging</topic><topic>Mapping</topic><topic>Medical Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Minimally Invasive Surgery</topic><topic>Neural networks</topic><topic>Neuroimaging</topic><topic>Neurology</topic><topic>Neurons and Cognition</topic><topic>Neuroradiology</topic><topic>Neurosurgery</topic><topic>Substantia alba</topic><topic>Supplementary motor area</topic><topic>Surgery</topic><topic>Surgical Orthopedics</topic><topic>Technical Note</topic><topic>Tumor – Glioma</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Valdes, Pablo A.</creatorcontrib><creatorcontrib>Ng, Sam</creatorcontrib><creatorcontrib>Bernstock, Joshua D.</creatorcontrib><creatorcontrib>Duffau, Hugues</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</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>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Acta neurochirurgica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Valdes, Pablo A.</au><au>Ng, Sam</au><au>Bernstock, Joshua D.</au><au>Duffau, Hugues</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of an educational method to rethink and learn oncological brain surgery in an “a la carte” connectome-based perspective</atitle><jtitle>Acta neurochirurgica</jtitle><stitle>Acta Neurochir</stitle><addtitle>Acta Neurochir (Wien)</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>165</volume><issue>9</issue><spage>2489</spage><epage>2500</epage><pages>2489-2500</pages><issn>0942-0940</issn><issn>0001-6268</issn><eissn>0942-0940</eissn><abstract>Background
Understanding the structural connectivity of white matter tracts (WMT) and their related functions is a prerequisite to implementing an “a la carte” “connectomic approach” to glioma surgery. However, accessible resources facilitating such an approach are lacking. Here we present an educational method that is readily accessible, simple, and reproducible that enables the visualization of WMTs on individual patient images via an atlas-based approach.
Methods
Our method uses the patient’s own magnetic resonance imaging (MRI) images and consists of three main steps: data conversion, normalization, and visualization; these are accomplished using accessible software packages and WMT atlases. We implement our method on three common cases encountered in glioma surgery: a right supplementary motor area tumor, a left insular tumor, and a left temporal tumor.
Results
Using patient-specific perioperative MRIs with open-sourced and co-registered atlas-derived WMTs, we highlight the critical subnetworks requiring specific surgical monitoring identified intraoperatively using direct electrostimulation mapping with cognitive monitoring. The aim of this didactic method is to provide the neurosurgical oncology community with an accessible and ready-to-use educational tool, enabling neurosurgeons to improve their knowledge of WMTs and to better learn their oncologic cases, especially in glioma surgery using awake mapping.
Conclusions
Taking no more than 3–5 min per patient and irrespective of their resource settings, we believe that this method will enable junior surgeons to develop an intuition, and a robust 3-dimensional imagery of WMT by regularly applying it to their cases both before and after surgery to develop an “a la carte” connectome-based perspective to glioma surgery.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><pmid>37199758</pmid><doi>10.1007/s00701-023-05626-2</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6788-8003</orcidid><orcidid>https://orcid.org/0000-0001-7232-319X</orcidid></addata></record> |
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subjects | Brain cancer Cognitive ability Computer Science Glioma Human health and pathology Interventional Radiology Life Sciences Magnetic resonance imaging Mapping Medical Imaging Medicine Medicine & Public Health Minimally Invasive Surgery Neural networks Neuroimaging Neurology Neurons and Cognition Neuroradiology Neurosurgery Substantia alba Supplementary motor area Surgery Surgical Orthopedics Technical Note Tumor – Glioma Tumors |
title | Development of an educational method to rethink and learn oncological brain surgery in an “a la carte” connectome-based perspective |
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