Accuracy, Precision, Sensitivity, and Specificity of Noninvasive ICP Absolute Value Measurements.
Identifieur interne : 000005 ( PubMed/Corpus ); précédent : 000004; suivant : 000006Accuracy, Precision, Sensitivity, and Specificity of Noninvasive ICP Absolute Value Measurements.
Auteurs : Solventa Krakauskaite ; Vytautas Petkus ; Laimonas Bartusis ; Rolandas Zakelis ; Romanas Chomskis ; Aidanas Preiksaitis ; Arminas Ragauskas ; Vaidas Matijosaitis ; Kestutis Petrikonis ; Daiva RastenyteSource :
- Acta neurochirurgica. Supplement [ 0065-1419 ] ; 2016.
Abstract
An innovative absolute intracranial pressure (ICP) value measurement method has been validated by multicenter comparative clinical studies. The method is based on two-depth transcranial Doppler (TCD) technology and uses intracranial and extracranial segments of the ophthalmic artery as pressure sensors. The ophthalmic artery is used as a natural pair of "scales" that compares ICP with controlled pressure Pe, which is externally applied to the orbit. To balance the scales, ICP = Pe a special two-depth TCD device was used as a pressure balance indicator. The proposed method is the only noninvasive ICP measurement method that does not need patient-specific calibration.
DOI: 10.1007/978-3-319-22533-3_63
PubMed: 27165929
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Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Zakelis, Rolandas" sort="Zakelis, Rolandas" uniqKey="Zakelis R" first="Rolandas" last="Zakelis">Rolandas Zakelis</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Chomskis, Romanas" sort="Chomskis, Romanas" uniqKey="Chomskis R" first="Romanas" last="Chomskis">Romanas Chomskis</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Preiksaitis, Aidanas" sort="Preiksaitis, Aidanas" uniqKey="Preiksaitis A" first="Aidanas" last="Preiksaitis">Aidanas Preiksaitis</name><affiliation><nlm:affiliation>Faculty of Medicine, Clinic of Neurology and Neurosurgery, Vilnius University, Vilnius, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Ragauskas, Arminas" sort="Ragauskas, Arminas" uniqKey="Ragauskas A" first="Arminas" last="Ragauskas">Arminas Ragauskas</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania. telematics@ktu.lt.</nlm:affiliation></affiliation></author><author><name sortKey="Matijosaitis, Vaidas" sort="Matijosaitis, Vaidas" uniqKey="Matijosaitis V" first="Vaidas" last="Matijosaitis">Vaidas Matijosaitis</name><affiliation><nlm:affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Petrikonis, Kestutis" sort="Petrikonis, Kestutis" uniqKey="Petrikonis K" first="Kestutis" last="Petrikonis">Kestutis Petrikonis</name><affiliation><nlm:affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Rastenyte, Daiva" sort="Rastenyte, Daiva" uniqKey="Rastenyte D" first="Daiva" last="Rastenyte">Daiva Rastenyte</name><affiliation><nlm:affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="doi">10.1007/978-3-319-22533-3_63</idno><idno type="RBID">pubmed:27165929</idno><idno type="pmid">27165929</idno><idno type="wicri:Area/PubMed/Corpus">000005</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000005</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Accuracy, Precision, Sensitivity, and Specificity of Noninvasive ICP Absolute Value Measurements.</title><author><name sortKey="Krakauskaite, Solventa" sort="Krakauskaite, Solventa" uniqKey="Krakauskaite S" first="Solventa" last="Krakauskaite">Solventa Krakauskaite</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Petkus, Vytautas" sort="Petkus, Vytautas" uniqKey="Petkus V" first="Vytautas" last="Petkus">Vytautas Petkus</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Bartusis, Laimonas" sort="Bartusis, Laimonas" uniqKey="Bartusis L" first="Laimonas" last="Bartusis">Laimonas Bartusis</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Zakelis, Rolandas" sort="Zakelis, Rolandas" uniqKey="Zakelis R" first="Rolandas" last="Zakelis">Rolandas Zakelis</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Chomskis, Romanas" sort="Chomskis, Romanas" uniqKey="Chomskis R" first="Romanas" last="Chomskis">Romanas Chomskis</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Preiksaitis, Aidanas" sort="Preiksaitis, Aidanas" uniqKey="Preiksaitis A" first="Aidanas" last="Preiksaitis">Aidanas Preiksaitis</name><affiliation><nlm:affiliation>Faculty of Medicine, Clinic of Neurology and Neurosurgery, Vilnius University, Vilnius, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Ragauskas, Arminas" sort="Ragauskas, Arminas" uniqKey="Ragauskas A" first="Arminas" last="Ragauskas">Arminas Ragauskas</name><affiliation><nlm:affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania. telematics@ktu.lt.</nlm:affiliation></affiliation></author><author><name sortKey="Matijosaitis, Vaidas" sort="Matijosaitis, Vaidas" uniqKey="Matijosaitis V" first="Vaidas" last="Matijosaitis">Vaidas Matijosaitis</name><affiliation><nlm:affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Petrikonis, Kestutis" sort="Petrikonis, Kestutis" uniqKey="Petrikonis K" first="Kestutis" last="Petrikonis">Kestutis Petrikonis</name><affiliation><nlm:affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</nlm:affiliation></affiliation></author><author><name sortKey="Rastenyte, Daiva" sort="Rastenyte, Daiva" uniqKey="Rastenyte D" first="Daiva" last="Rastenyte">Daiva Rastenyte</name><affiliation><nlm:affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Acta neurochirurgica. Supplement</title><idno type="ISSN">0065-1419</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">An innovative absolute intracranial pressure (ICP) value measurement method has been validated by multicenter comparative clinical studies. The method is based on two-depth transcranial Doppler (TCD) technology and uses intracranial and extracranial segments of the ophthalmic artery as pressure sensors. The ophthalmic artery is used as a natural pair of "scales" that compares ICP with controlled pressure Pe, which is externally applied to the orbit. To balance the scales, ICP = Pe a special two-depth TCD device was used as a pressure balance indicator. The proposed method is the only noninvasive ICP measurement method that does not need patient-specific calibration.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="In-Data-Review"><PMID Version="1">27165929</PMID><DateCreated><Year>2016</Year><Month>05</Month><Day>11</Day></DateCreated><Article PubModel="Print"><Journal><ISSN IssnType="Print">0065-1419</ISSN><JournalIssue CitedMedium="Print"><Volume>122</Volume><PubDate><Year>2016</Year></PubDate></JournalIssue><Title>Acta neurochirurgica. Supplement</Title><ISOAbbreviation>Acta Neurochir. Suppl.</ISOAbbreviation></Journal><ArticleTitle>Accuracy, Precision, Sensitivity, and Specificity of Noninvasive ICP Absolute Value Measurements.</ArticleTitle><Pagination><MedlinePgn>317-21</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/978-3-319-22533-3_63</ELocationID><Abstract><AbstractText>An innovative absolute intracranial pressure (ICP) value measurement method has been validated by multicenter comparative clinical studies. The method is based on two-depth transcranial Doppler (TCD) technology and uses intracranial and extracranial segments of the ophthalmic artery as pressure sensors. The ophthalmic artery is used as a natural pair of "scales" that compares ICP with controlled pressure Pe, which is externally applied to the orbit. To balance the scales, ICP = Pe a special two-depth TCD device was used as a pressure balance indicator. The proposed method is the only noninvasive ICP measurement method that does not need patient-specific calibration.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Krakauskaite</LastName><ForeName>Solventa</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Petkus</LastName><ForeName>Vytautas</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bartusis</LastName><ForeName>Laimonas</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zakelis</LastName><ForeName>Rolandas</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chomskis</LastName><ForeName>Romanas</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Preiksaitis</LastName><ForeName>Aidanas</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Faculty of Medicine, Clinic of Neurology and Neurosurgery, Vilnius University, Vilnius, Lithuania.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Neurology, Lithuanian University of Health Sciences, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ragauskas</LastName><ForeName>Arminas</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania. telematics@ktu.lt.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Matijosaitis</LastName><ForeName>Vaidas</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Petrikonis</LastName><ForeName>Kestutis</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rastenyte</LastName><ForeName>Daiva</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Neurology, Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Austria</Country><MedlineTA>Acta Neurochir Suppl</MedlineTA><NlmUniqueID>100962752</NlmUniqueID><ISSNLinking>0065-1419</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Bland–Altman analysis</Keyword><Keyword MajorTopicYN="N">Noninvasive ICP absolute value method</Keyword><Keyword MajorTopicYN="N">ROC analysis</Keyword><Keyword MajorTopicYN="N">Regression analysis</Keyword><Keyword MajorTopicYN="N">Two-depth transcranial Doppler meter</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>5</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>5</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>5</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1007/978-3-319-22533-3_63</ArticleId><ArticleId IdType="pubmed">27165929</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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