DTI of the visual pathway - white matter tracts and cerebral lesions.
Identifieur interne : 000341 ( PubMed/Corpus ); précédent : 000340; suivant : 000342DTI of the visual pathway - white matter tracts and cerebral lesions.
Auteurs : Ardian Hana ; Andreas Husch ; Vimal Raj Nitish Gunness ; Christophe Berthold ; Anisa Hana ; Georges Dooms ; Hans Boecher Schwarz ; Frank HertelSource :
- Journal of visualized experiments : JoVE [ 1940-087X ] ; 2014.
English descriptors
- KwdEn :
- Brain Neoplasms (diagnosis), Brain Neoplasms (surgery), Diffusion Tensor Imaging (instrumentation), Diffusion Tensor Imaging (methods), Diffusion Tensor Imaging (standards), Glioblastoma (diagnosis), Glioblastoma (surgery), Humans, Neoplasm Recurrence, Local (diagnosis), Neurosurgical Procedures (methods), Software, Visual Pathways (anatomy & histology), Visual Pathways (physiology), Visual Pathways (surgery), White Matter (anatomy & histology), White Matter (physiology), White Matter (surgery).
- MESH :
- anatomy & histology : Visual Pathways, White Matter.
- diagnosis : Brain Neoplasms, Glioblastoma, Neoplasm Recurrence, Local.
- instrumentation : Diffusion Tensor Imaging.
- methods : Diffusion Tensor Imaging, Neurosurgical Procedures.
- physiology : Visual Pathways, White Matter.
- standards : Diffusion Tensor Imaging.
- surgery : Brain Neoplasms, Glioblastoma, Visual Pathways, White Matter.
- Humans, Software.
Abstract
DTI is a technique that identifies white matter tracts (WMT) non-invasively in healthy and non-healthy patients using diffusion measurements. Similar to visual pathways (VP), WMT are not visible with classical MRI or intra-operatively with microscope. DIT will help neurosurgeons to prevent destruction of the VP while removing lesions adjacent to this WMT. We have performed DTI on fifty patients before and after surgery between March 2012 to January 2014. To navigate we used a 3DT1-weighted sequence. Additionally, we performed a T2-weighted and DTI-sequences. The parameters used were, FOV: 200 x 200 mm, slice thickness: 2 mm, and acquisition matrix: 96 x 96 yielding nearly isotropic voxels of 2 x 2 x 2 mm. Axial MRI was carried out using a 32 gradient direction and one b0-image. We used Echo-Planar-Imaging (EPI) and ASSET parallel imaging with an acceleration factor of 2 and b-value of 800 s/mm². The scanning time was less than 9 min. The DTI-data obtained were processed using a FDA approved surgical navigation system program which uses a straightforward fiber-tracking approach known as fiber assignment by continuous tracking (FACT). This is based on the propagation of lines between regions of interest (ROI) which is defined by a physician. A maximum angle of 50, FA start value of 0.10 and ADC stop value of 0.20 mm²/s were the parameters used for tractography. There are some limitations to this technique. The limited acquisition time frame enforces trade-offs in the image quality. Another important point not to be neglected is the brain shift during surgery. As for the latter intra-operative MRI might be helpful. Furthermore the risk of false positive or false negative tracts needs to be taken into account which might compromise the final results.
DOI: 10.3791/51946
PubMed: 25226557
Links to Exploration step
pubmed:25226557Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">DTI of the visual pathway - white matter tracts and cerebral lesions.</title><author><name sortKey="Hana, Ardian" sort="Hana, Ardian" uniqKey="Hana A" first="Ardian" last="Hana">Ardian Hana</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg; Hana.Ardian@chl.lu.</nlm:affiliation></affiliation></author><author><name sortKey="Husch, Andreas" sort="Husch, Andreas" uniqKey="Husch A" first="Andreas" last="Husch">Andreas Husch</name><affiliation><nlm:affiliation>University of Applied Sciences Trier.</nlm:affiliation></affiliation></author><author><name sortKey="Gunness, Vimal Raj Nitish" sort="Gunness, Vimal Raj Nitish" uniqKey="Gunness V" first="Vimal Raj Nitish" last="Gunness">Vimal Raj Nitish Gunness</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Berthold, Christophe" sort="Berthold, Christophe" uniqKey="Berthold C" first="Christophe" last="Berthold">Christophe Berthold</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Hana, Anisa" sort="Hana, Anisa" uniqKey="Hana A" first="Anisa" last="Hana">Anisa Hana</name><affiliation><nlm:affiliation>Internal Medicine, Erasmus Universiteit Rotterdam.</nlm:affiliation></affiliation></author><author><name sortKey="Dooms, Georges" sort="Dooms, Georges" uniqKey="Dooms G" first="Georges" last="Dooms">Georges Dooms</name><affiliation><nlm:affiliation>Service of Neuroradiology, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Boecher Schwarz, Hans" sort="Boecher Schwarz, Hans" uniqKey="Boecher Schwarz H" first="Hans" last="Boecher Schwarz">Hans Boecher Schwarz</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Hertel, Frank" sort="Hertel, Frank" uniqKey="Hertel F" first="Frank" last="Hertel">Frank Hertel</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:25226557</idno><idno type="pmid">25226557</idno><idno type="doi">10.3791/51946</idno><idno type="wicri:Area/PubMed/Corpus">000341</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000341</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">DTI of the visual pathway - white matter tracts and cerebral lesions.</title><author><name sortKey="Hana, Ardian" sort="Hana, Ardian" uniqKey="Hana A" first="Ardian" last="Hana">Ardian Hana</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg; Hana.Ardian@chl.lu.</nlm:affiliation></affiliation></author><author><name sortKey="Husch, Andreas" sort="Husch, Andreas" uniqKey="Husch A" first="Andreas" last="Husch">Andreas Husch</name><affiliation><nlm:affiliation>University of Applied Sciences Trier.</nlm:affiliation></affiliation></author><author><name sortKey="Gunness, Vimal Raj Nitish" sort="Gunness, Vimal Raj Nitish" uniqKey="Gunness V" first="Vimal Raj Nitish" last="Gunness">Vimal Raj Nitish Gunness</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Berthold, Christophe" sort="Berthold, Christophe" uniqKey="Berthold C" first="Christophe" last="Berthold">Christophe Berthold</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Hana, Anisa" sort="Hana, Anisa" uniqKey="Hana A" first="Anisa" last="Hana">Anisa Hana</name><affiliation><nlm:affiliation>Internal Medicine, Erasmus Universiteit Rotterdam.</nlm:affiliation></affiliation></author><author><name sortKey="Dooms, Georges" sort="Dooms, Georges" uniqKey="Dooms G" first="Georges" last="Dooms">Georges Dooms</name><affiliation><nlm:affiliation>Service of Neuroradiology, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Boecher Schwarz, Hans" sort="Boecher Schwarz, Hans" uniqKey="Boecher Schwarz H" first="Hans" last="Boecher Schwarz">Hans Boecher Schwarz</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author><author><name sortKey="Hertel, Frank" sort="Hertel, Frank" uniqKey="Hertel F" first="Frank" last="Hertel">Frank Hertel</name><affiliation><nlm:affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of visualized experiments : JoVE</title><idno type="eISSN">1940-087X</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Brain Neoplasms (diagnosis)</term><term>Brain Neoplasms (surgery)</term><term>Diffusion Tensor Imaging (instrumentation)</term><term>Diffusion Tensor Imaging (methods)</term><term>Diffusion Tensor Imaging (standards)</term><term>Glioblastoma (diagnosis)</term><term>Glioblastoma (surgery)</term><term>Humans</term><term>Neoplasm Recurrence, Local (diagnosis)</term><term>Neurosurgical Procedures (methods)</term><term>Software</term><term>Visual Pathways (anatomy & histology)</term><term>Visual Pathways (physiology)</term><term>Visual Pathways (surgery)</term><term>White Matter (anatomy & histology)</term><term>White Matter (physiology)</term><term>White Matter (surgery)</term></keywords><keywords scheme="MESH" qualifier="anatomy & histology" xml:lang="en"><term>Visual Pathways</term><term>White Matter</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Brain Neoplasms</term><term>Glioblastoma</term><term>Neoplasm Recurrence, Local</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Diffusion Tensor Imaging</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Diffusion Tensor Imaging</term><term>Neurosurgical Procedures</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Visual Pathways</term><term>White Matter</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Diffusion Tensor Imaging</term></keywords><keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Brain Neoplasms</term><term>Glioblastoma</term><term>Visual Pathways</term><term>White Matter</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Software</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">DTI is a technique that identifies white matter tracts (WMT) non-invasively in healthy and non-healthy patients using diffusion measurements. Similar to visual pathways (VP), WMT are not visible with classical MRI or intra-operatively with microscope. DIT will help neurosurgeons to prevent destruction of the VP while removing lesions adjacent to this WMT. We have performed DTI on fifty patients before and after surgery between March 2012 to January 2014. To navigate we used a 3DT1-weighted sequence. Additionally, we performed a T2-weighted and DTI-sequences. The parameters used were, FOV: 200 x 200 mm, slice thickness: 2 mm, and acquisition matrix: 96 x 96 yielding nearly isotropic voxels of 2 x 2 x 2 mm. Axial MRI was carried out using a 32 gradient direction and one b0-image. We used Echo-Planar-Imaging (EPI) and ASSET parallel imaging with an acceleration factor of 2 and b-value of 800 s/mm². The scanning time was less than 9 min. The DTI-data obtained were processed using a FDA approved surgical navigation system program which uses a straightforward fiber-tracking approach known as fiber assignment by continuous tracking (FACT). This is based on the propagation of lines between regions of interest (ROI) which is defined by a physician. A maximum angle of 50, FA start value of 0.10 and ADC stop value of 0.20 mm²/s were the parameters used for tractography. There are some limitations to this technique. The limited acquisition time frame enforces trade-offs in the image quality. Another important point not to be neglected is the brain shift during surgery. As for the latter intra-operative MRI might be helpful. Furthermore the risk of false positive or false negative tracts needs to be taken into account which might compromise the final results.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25226557</PMID><DateCreated><Year>2014</Year><Month>09</Month><Day>17</Day></DateCreated><DateCompleted><Year>2015</Year><Month>01</Month><Day>09</Day></DateCompleted><DateRevised><Year>2016</Year><Month>08</Month><Day>26</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1940-087X</ISSN><JournalIssue CitedMedium="Internet"><Issue>90</Issue><PubDate><Year>2014</Year><Month>Aug</Month><Day>26</Day></PubDate></JournalIssue><Title>Journal of visualized experiments : JoVE</Title><ISOAbbreviation>J Vis Exp</ISOAbbreviation></Journal><ArticleTitle>DTI of the visual pathway - white matter tracts and cerebral lesions.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.3791/51946</ELocationID><Abstract><AbstractText>DTI is a technique that identifies white matter tracts (WMT) non-invasively in healthy and non-healthy patients using diffusion measurements. Similar to visual pathways (VP), WMT are not visible with classical MRI or intra-operatively with microscope. DIT will help neurosurgeons to prevent destruction of the VP while removing lesions adjacent to this WMT. We have performed DTI on fifty patients before and after surgery between March 2012 to January 2014. To navigate we used a 3DT1-weighted sequence. Additionally, we performed a T2-weighted and DTI-sequences. The parameters used were, FOV: 200 x 200 mm, slice thickness: 2 mm, and acquisition matrix: 96 x 96 yielding nearly isotropic voxels of 2 x 2 x 2 mm. Axial MRI was carried out using a 32 gradient direction and one b0-image. We used Echo-Planar-Imaging (EPI) and ASSET parallel imaging with an acceleration factor of 2 and b-value of 800 s/mm². The scanning time was less than 9 min. The DTI-data obtained were processed using a FDA approved surgical navigation system program which uses a straightforward fiber-tracking approach known as fiber assignment by continuous tracking (FACT). This is based on the propagation of lines between regions of interest (ROI) which is defined by a physician. A maximum angle of 50, FA start value of 0.10 and ADC stop value of 0.20 mm²/s were the parameters used for tractography. There are some limitations to this technique. The limited acquisition time frame enforces trade-offs in the image quality. Another important point not to be neglected is the brain shift during surgery. As for the latter intra-operative MRI might be helpful. Furthermore the risk of false positive or false negative tracts needs to be taken into account which might compromise the final results.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hana</LastName><ForeName>Ardian</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg; Hana.Ardian@chl.lu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Husch</LastName><ForeName>Andreas</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>University of Applied Sciences Trier.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gunness</LastName><ForeName>Vimal Raj Nitish</ForeName><Initials>VR</Initials><AffiliationInfo><Affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Berthold</LastName><ForeName>Christophe</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hana</LastName><ForeName>Anisa</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Internal Medicine, Erasmus Universiteit Rotterdam.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dooms</LastName><ForeName>Georges</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Service of Neuroradiology, Centre Hospitalier de Luxembourg.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Boecher Schwarz</LastName><ForeName>Hans</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hertel</LastName><ForeName>Frank</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>National Service of Neurosurgery, Centre Hospitalier de Luxembourg.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D059040">Video-Audio Media</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>08</Month><Day>26</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Vis Exp</MedlineTA><NlmUniqueID>101313252</NlmUniqueID><ISSNLinking>1940-087X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001932" MajorTopicYN="N">Brain Neoplasms</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000601" MajorTopicYN="N">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D056324" MajorTopicYN="N">Diffusion Tensor Imaging</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="Y">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName><QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005909" MajorTopicYN="N">Glioblastoma</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000601" MajorTopicYN="N">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009364" MajorTopicYN="N">Neoplasm Recurrence, Local</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019635" MajorTopicYN="N">Neurosurgical Procedures</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012984" MajorTopicYN="N">Software</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014795" MajorTopicYN="N">Visual Pathways</DescriptorName><QualifierName UI="Q000033" MajorTopicYN="N">anatomy & histology</QualifierName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName><QualifierName UI="Q000601" MajorTopicYN="Y">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D066127" MajorTopicYN="N">White Matter</DescriptorName><QualifierName UI="Q000033" MajorTopicYN="N">anatomy & histology</QualifierName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName><QualifierName UI="Q000601" MajorTopicYN="Y">surgery</QualifierName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC4828020</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>9</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>9</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>1</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25226557</ArticleId><ArticleId IdType="doi">10.3791/51946</ArticleId><ArticleId IdType="pmc">PMC4828020</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000341 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000341 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Rhénanie
|area= UnivTrevesV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:25226557
|texte= DTI of the visual pathway - white matter tracts and cerebral lesions.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:25226557" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a UnivTrevesV1
| This area was generated with Dilib version V0.6.31. |  |