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Measurement precision and biological variation of cranial arteries using automated analysis of 3 T magnetic resonance angiography
Background Non-invasive magnetic resonance angiography (MRA) has facilitated repeated measurements of human cranial arteries in several headache and migraine studies. To ensure comparability across studies the same automated analysis software has been used, but the intra- and interobserver, day-to-d...
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| Published in: | Journal of headache and pain 2014-05, Vol.15 (1), p.25-25, Article 25 |
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| creator | Amin, Faisal Mohammad Lundholm, Elisabet Hougaard, Anders Arngrim, Nanna Wiinberg, Linda de Koning, Patrick JH Larsson, Henrik BW Ashina, Messoud |
| description | Background
Non-invasive magnetic resonance angiography (MRA) has facilitated repeated measurements of human cranial arteries in several headache and migraine studies. To ensure comparability across studies the same automated analysis software has been used, but the intra- and interobserver, day-to-day and side-to-side variations have not yet been published. We hypothesised that the observer related, side-to-side, and day-to-day variations would be less than 10%.
Methods
Ten female participants were studied using high-resolution MRA on two study days separated by at least one week. Using the automated LKEB-MRA vessel wall analysis software arterial circumferences were measured by blinded observers. Each artery was analysed twice by each of the two different observers. The primary endpoints were to determine the intraclass correlation coefficient (ICC) and intra- an inter-observer, the day-to-day, and side-to-side variations of the circumference of the middle meningeal (MMA) and middle cerebral (MCA) arteries.
Results
We found an excellent intra- and interobserver agreement for the MMA (ICC: 0.909-0.987) and for the MCA (ICC: 0.876-0.949). The coefficient of variance within observers was ≤1.8% for MMA and ≤3.1% for MCA; between observers ≤3.4% (MMA) and ≤4.1% (MCA); between days ≤6.0% (MMA) and ≤8.0% (MCA); between sides ≤9.4% (MMA) and ≤6.5% (MCA).
Conclusion
The present study demonstrates a low ( |
| doi_str_mv | 10.1186/1129-2377-15-25 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4229959</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4275979501</sourcerecordid><originalsourceid>FETCH-LOGICAL-b521t-ad8a7da36039571ba3fc4579c5a3dbe650f93821986ddf0d69f641923d7038623</originalsourceid><addsrcrecordid>eNp1kj1v1TAUhiNERUthZkOWWFhC_RE79oJEqwKVWrGU2TqxndRVYl_spNId-ed1dMtVi9rJ1jmPX7_no6o-EPyFEClOCKGqpqxta8Jryl9VR_vI6_1dqMPqbc63GFPMJH9THdJGSkFYe1T9vXKQl-QmF2a0Sc747GNAECzqfBzj4A2M6A6Sh3lNxB6ZBMGXIKTZJe8yWrIPA4JljhPMzpbHMG6zzyvM0DWaYAhu9gYll2OAYFxBBh-HBJub7bvqoIcxu_cP53H1-_v59dnP-vLXj4uzb5d1xymZa7ASWgtMYKZ4SzpgvWl4qwwHZjsnOO4Vk5QoKaztsRWqFw1RlNm2FC0oO66-7nQ3Szc5a0rBCUa9SX6CtNURvH6aCf5GD_FON5QqxVURON0JlMa8IPA0Y-Kk1xHodRyacE15Efn84CLFP4vLs558Nm4cIbi45EIxqjgWcjX86T_0Ni6p9LZQsmmVbAVeXZ3sKJNizsn1e0ME63VHnrHw8XEj9vy_pSgA3gG5pMLg0qOPX9C8B7VlyVA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1847987609</pqid></control><display><type>article</type><title>Measurement precision and biological variation of cranial arteries using automated analysis of 3 T magnetic resonance angiography</title><source>Publicly Available Content Database</source><source>Springer Nature - SpringerLink Journals - Fully Open Access </source><source>PubMed Central</source><creator>Amin, Faisal Mohammad ; Lundholm, Elisabet ; Hougaard, Anders ; Arngrim, Nanna ; Wiinberg, Linda ; de Koning, Patrick JH ; Larsson, Henrik BW ; Ashina, Messoud</creator><creatorcontrib>Amin, Faisal Mohammad ; Lundholm, Elisabet ; Hougaard, Anders ; Arngrim, Nanna ; Wiinberg, Linda ; de Koning, Patrick JH ; Larsson, Henrik BW ; Ashina, Messoud</creatorcontrib><description>Background
Non-invasive magnetic resonance angiography (MRA) has facilitated repeated measurements of human cranial arteries in several headache and migraine studies. To ensure comparability across studies the same automated analysis software has been used, but the intra- and interobserver, day-to-day and side-to-side variations have not yet been published. We hypothesised that the observer related, side-to-side, and day-to-day variations would be less than 10%.
Methods
Ten female participants were studied using high-resolution MRA on two study days separated by at least one week. Using the automated LKEB-MRA vessel wall analysis software arterial circumferences were measured by blinded observers. Each artery was analysed twice by each of the two different observers. The primary endpoints were to determine the intraclass correlation coefficient (ICC) and intra- an inter-observer, the day-to-day, and side-to-side variations of the circumference of the middle meningeal (MMA) and middle cerebral (MCA) arteries.
Results
We found an excellent intra- and interobserver agreement for the MMA (ICC: 0.909-0.987) and for the MCA (ICC: 0.876-0.949). The coefficient of variance within observers was ≤1.8% for MMA and ≤3.1% for MCA; between observers ≤3.4% (MMA) and ≤4.1% (MCA); between days ≤6.0% (MMA) and ≤8.0% (MCA); between sides ≤9.4% (MMA) and ≤6.5% (MCA).
Conclusion
The present study demonstrates a low (<5%) inter- and intraobserver variation using the automated LKEB-MRA vessel wall analysis software. Furthermore, the study also suggests that the day-to-day and side-to-side variations of the MMA and MCA circumferences are less than 10%.</description><identifier>ISSN: 1129-2369</identifier><identifier>ISSN: 1129-2377</identifier><identifier>EISSN: 1129-2377</identifier><identifier>DOI: 10.1186/1129-2377-15-25</identifier><identifier>PMID: 24886137</identifier><identifier>CODEN: JHPOAT</identifier><language>eng</language><publisher>Milan: Springer Milan</publisher><subject>Adult ; Cerebral Arteries - diagnostic imaging ; Cerebral Arteries - physiopathology ; Female ; Humans ; Internal Medicine ; Magnetic Resonance Angiography - methods ; Magnetic Resonance Angiography - standards ; Medicine ; Medicine & Public Health ; Migraine Disorders - diagnostic imaging ; Migraine Disorders - epidemiology ; Migraine Disorders - physiopathology ; Neurology ; Observer Variation ; Pain Medicine ; Radiography ; Research Article ; Young Adult</subject><ispartof>Journal of headache and pain, 2014-05, Vol.15 (1), p.25-25, Article 25</ispartof><rights>Amin et al.; licensee Springer. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.</rights><rights>The Journal of Headache and Pain is a copyright of Springer, 2014.</rights><rights>Copyright © 2014 Amin et al.; licensee Springer. 2014 Amin et al.; licensee Springer.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b521t-ad8a7da36039571ba3fc4579c5a3dbe650f93821986ddf0d69f641923d7038623</citedby><cites>FETCH-LOGICAL-b521t-ad8a7da36039571ba3fc4579c5a3dbe650f93821986ddf0d69f641923d7038623</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1847987609/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1847987609?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24886137$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Amin, Faisal Mohammad</creatorcontrib><creatorcontrib>Lundholm, Elisabet</creatorcontrib><creatorcontrib>Hougaard, Anders</creatorcontrib><creatorcontrib>Arngrim, Nanna</creatorcontrib><creatorcontrib>Wiinberg, Linda</creatorcontrib><creatorcontrib>de Koning, Patrick JH</creatorcontrib><creatorcontrib>Larsson, Henrik BW</creatorcontrib><creatorcontrib>Ashina, Messoud</creatorcontrib><title>Measurement precision and biological variation of cranial arteries using automated analysis of 3 T magnetic resonance angiography</title><title>Journal of headache and pain</title><addtitle>J Headache Pain</addtitle><addtitle>J Headache Pain</addtitle><description>Background
Non-invasive magnetic resonance angiography (MRA) has facilitated repeated measurements of human cranial arteries in several headache and migraine studies. To ensure comparability across studies the same automated analysis software has been used, but the intra- and interobserver, day-to-day and side-to-side variations have not yet been published. We hypothesised that the observer related, side-to-side, and day-to-day variations would be less than 10%.
Methods
Ten female participants were studied using high-resolution MRA on two study days separated by at least one week. Using the automated LKEB-MRA vessel wall analysis software arterial circumferences were measured by blinded observers. Each artery was analysed twice by each of the two different observers. The primary endpoints were to determine the intraclass correlation coefficient (ICC) and intra- an inter-observer, the day-to-day, and side-to-side variations of the circumference of the middle meningeal (MMA) and middle cerebral (MCA) arteries.
Results
We found an excellent intra- and interobserver agreement for the MMA (ICC: 0.909-0.987) and for the MCA (ICC: 0.876-0.949). The coefficient of variance within observers was ≤1.8% for MMA and ≤3.1% for MCA; between observers ≤3.4% (MMA) and ≤4.1% (MCA); between days ≤6.0% (MMA) and ≤8.0% (MCA); between sides ≤9.4% (MMA) and ≤6.5% (MCA).
Conclusion
The present study demonstrates a low (<5%) inter- and intraobserver variation using the automated LKEB-MRA vessel wall analysis software. Furthermore, the study also suggests that the day-to-day and side-to-side variations of the MMA and MCA circumferences are less than 10%.</description><subject>Adult</subject><subject>Cerebral Arteries - diagnostic imaging</subject><subject>Cerebral Arteries - physiopathology</subject><subject>Female</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Magnetic Resonance Angiography - methods</subject><subject>Magnetic Resonance Angiography - standards</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Migraine Disorders - diagnostic imaging</subject><subject>Migraine Disorders - epidemiology</subject><subject>Migraine Disorders - physiopathology</subject><subject>Neurology</subject><subject>Observer Variation</subject><subject>Pain Medicine</subject><subject>Radiography</subject><subject>Research Article</subject><subject>Young Adult</subject><issn>1129-2369</issn><issn>1129-2377</issn><issn>1129-2377</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp1kj1v1TAUhiNERUthZkOWWFhC_RE79oJEqwKVWrGU2TqxndRVYl_spNId-ed1dMtVi9rJ1jmPX7_no6o-EPyFEClOCKGqpqxta8Jryl9VR_vI6_1dqMPqbc63GFPMJH9THdJGSkFYe1T9vXKQl-QmF2a0Sc747GNAECzqfBzj4A2M6A6Sh3lNxB6ZBMGXIKTZJe8yWrIPA4JljhPMzpbHMG6zzyvM0DWaYAhu9gYll2OAYFxBBh-HBJub7bvqoIcxu_cP53H1-_v59dnP-vLXj4uzb5d1xymZa7ASWgtMYKZ4SzpgvWl4qwwHZjsnOO4Vk5QoKaztsRWqFw1RlNm2FC0oO66-7nQ3Szc5a0rBCUa9SX6CtNURvH6aCf5GD_FON5QqxVURON0JlMa8IPA0Y-Kk1xHodRyacE15Efn84CLFP4vLs558Nm4cIbi45EIxqjgWcjX86T_0Ni6p9LZQsmmVbAVeXZ3sKJNizsn1e0ME63VHnrHw8XEj9vy_pSgA3gG5pMLg0qOPX9C8B7VlyVA</recordid><startdate>20140507</startdate><enddate>20140507</enddate><creator>Amin, Faisal Mohammad</creator><creator>Lundholm, Elisabet</creator><creator>Hougaard, Anders</creator><creator>Arngrim, Nanna</creator><creator>Wiinberg, Linda</creator><creator>de Koning, Patrick JH</creator><creator>Larsson, Henrik BW</creator><creator>Ashina, Messoud</creator><general>Springer Milan</general><general>Springer Nature B.V</general><general>BioMed Central Ltd</general><general>Springer</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>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140507</creationdate><title>Measurement precision and biological variation of cranial arteries using automated analysis of 3 T magnetic resonance angiography</title><author>Amin, Faisal Mohammad ; Lundholm, Elisabet ; Hougaard, Anders ; Arngrim, Nanna ; Wiinberg, Linda ; de Koning, Patrick JH ; Larsson, Henrik BW ; Ashina, Messoud</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b521t-ad8a7da36039571ba3fc4579c5a3dbe650f93821986ddf0d69f641923d7038623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Cerebral Arteries - diagnostic imaging</topic><topic>Cerebral Arteries - physiopathology</topic><topic>Female</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Magnetic Resonance Angiography - methods</topic><topic>Magnetic Resonance Angiography - standards</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Migraine Disorders - diagnostic imaging</topic><topic>Migraine Disorders - epidemiology</topic><topic>Migraine Disorders - physiopathology</topic><topic>Neurology</topic><topic>Observer Variation</topic><topic>Pain Medicine</topic><topic>Radiography</topic><topic>Research Article</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amin, Faisal Mohammad</creatorcontrib><creatorcontrib>Lundholm, Elisabet</creatorcontrib><creatorcontrib>Hougaard, Anders</creatorcontrib><creatorcontrib>Arngrim, Nanna</creatorcontrib><creatorcontrib>Wiinberg, Linda</creatorcontrib><creatorcontrib>de Koning, Patrick JH</creatorcontrib><creatorcontrib>Larsson, Henrik BW</creatorcontrib><creatorcontrib>Ashina, Messoud</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>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Psychology Journals</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of headache and pain</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amin, Faisal Mohammad</au><au>Lundholm, Elisabet</au><au>Hougaard, Anders</au><au>Arngrim, Nanna</au><au>Wiinberg, Linda</au><au>de Koning, Patrick JH</au><au>Larsson, Henrik BW</au><au>Ashina, Messoud</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement precision and biological variation of cranial arteries using automated analysis of 3 T magnetic resonance angiography</atitle><jtitle>Journal of headache and pain</jtitle><stitle>J Headache Pain</stitle><addtitle>J Headache Pain</addtitle><date>2014-05-07</date><risdate>2014</risdate><volume>15</volume><issue>1</issue><spage>25</spage><epage>25</epage><pages>25-25</pages><artnum>25</artnum><issn>1129-2369</issn><issn>1129-2377</issn><eissn>1129-2377</eissn><coden>JHPOAT</coden><abstract>Background
Non-invasive magnetic resonance angiography (MRA) has facilitated repeated measurements of human cranial arteries in several headache and migraine studies. To ensure comparability across studies the same automated analysis software has been used, but the intra- and interobserver, day-to-day and side-to-side variations have not yet been published. We hypothesised that the observer related, side-to-side, and day-to-day variations would be less than 10%.
Methods
Ten female participants were studied using high-resolution MRA on two study days separated by at least one week. Using the automated LKEB-MRA vessel wall analysis software arterial circumferences were measured by blinded observers. Each artery was analysed twice by each of the two different observers. The primary endpoints were to determine the intraclass correlation coefficient (ICC) and intra- an inter-observer, the day-to-day, and side-to-side variations of the circumference of the middle meningeal (MMA) and middle cerebral (MCA) arteries.
Results
We found an excellent intra- and interobserver agreement for the MMA (ICC: 0.909-0.987) and for the MCA (ICC: 0.876-0.949). The coefficient of variance within observers was ≤1.8% for MMA and ≤3.1% for MCA; between observers ≤3.4% (MMA) and ≤4.1% (MCA); between days ≤6.0% (MMA) and ≤8.0% (MCA); between sides ≤9.4% (MMA) and ≤6.5% (MCA).
Conclusion
The present study demonstrates a low (<5%) inter- and intraobserver variation using the automated LKEB-MRA vessel wall analysis software. Furthermore, the study also suggests that the day-to-day and side-to-side variations of the MMA and MCA circumferences are less than 10%.</abstract><cop>Milan</cop><pub>Springer Milan</pub><pmid>24886137</pmid><doi>10.1186/1129-2377-15-25</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| source | Publicly Available Content Database; Springer Nature - SpringerLink Journals - Fully Open Access ; PubMed Central |
| subjects | Adult Cerebral Arteries - diagnostic imaging Cerebral Arteries - physiopathology Female Humans Internal Medicine Magnetic Resonance Angiography - methods Magnetic Resonance Angiography - standards Medicine Medicine & Public Health Migraine Disorders - diagnostic imaging Migraine Disorders - epidemiology Migraine Disorders - physiopathology Neurology Observer Variation Pain Medicine Radiography Research Article Young Adult |
| title | Measurement precision and biological variation of cranial arteries using automated analysis of 3 T magnetic resonance angiography |
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