3D-black-blood 3T-MRI for the diagnosis of thoracic large vessel vasculitis: A feasibility study
Objectives To evaluate the feasibility of T1w-3D black-blood turbo spin echo (TSE) sequence with variable flip angles for the diagnosis of thoracic large vessel vasculitis (LVV). Methods Thirty-five patients with LVV, diagnosed according to the current standard of reference, and 35 controls were ima...
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| Veröffentlicht in: | European radiology 2017-05, Vol.27 (5), p.2119-2128 |
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| creator | Treitl, Karla Maria Maurus, Stefan Sommer, Nora Narvina Kooijman-Kurfuerst, Hendrik Coppenrath, Eva Treitl, Marcus Czihal, Michael Hoffmann, Ulrich Dechant, Claudia Schulze-Koops, Hendrik Saam, Tobias |
| description | Objectives
To evaluate the feasibility of T1w-3D black-blood turbo spin echo (TSE) sequence with variable flip angles for the diagnosis of thoracic large vessel vasculitis (LVV).
Methods
Thirty-five patients with LVV, diagnosed according to the current standard of reference, and 35 controls were imaged at 3.0T using 1.2 × 1.3 × 2.0 mm
3
fat-suppressed, T1w-3D, modified Volumetric Isotropic TSE Acquisition (mVISTA) pre- and post-contrast. Applying a navigator and peripheral pulse unit triggering (PPU), the total scan time was 10–12 min. Thoracic aorta and subclavian and pulmonary arteries were evaluated for image quality (IQ), flow artefact intensity, diagnostic confidence, concentric wall thickening and contrast enhancement (CWT, CCE) using a 4-point scale.
Results
IQ was good in all examinations (3.25 ± 0.72) and good to excellent in 342 of 408 evaluated segments (83.8 %), while 84.1 % showed no or minor flow artefacts. The interobserver reproducibility for the identification of CCE and CWT was 0.969 and 0.971 (p |
| doi_str_mv | 10.1007/s00330-016-4525-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1891871994</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1859732412</sourcerecordid><originalsourceid>FETCH-LOGICAL-c471t-29f93879cbbeda19a3aa636d6cde22fa77d2e4b6e526839b85a32bbb57b117ab3</originalsourceid><addsrcrecordid>eNqNkV1vFCEUhkmjsdvqD-iNIfHGGyoHhmHwrqn2I6kxMfUagWG21Nmlcmaa7r-XzbaNMTHxBgI85z3AQ8gR8GPgXH9AzqXkjEPLGiUUe9gjC2ikYMC75gVZcCM7po1p9skB4i3n3ECjX5F9oRXwVvIF-SE_MT-68LOOOfdUXrMv3y7pkAudbiLtk1uuMyakeagbubiQAh1dWUZ6HxHjSO8dhnlMU8KP9IQO0WHyqa43FKe537wmLwc3YnzzOB-S72efr08v2NXX88vTkysWGg0TE2aol9UmeB97B8ZJ51rZ9m3ooxCD07oXsfFtVKLtpPGdclJ475X2ANp5eUje73LvSv41R5zsKmGI4-jWMc9ooTPQaaif8R-oMlqKBkRF3_2F3ua5rOtDKtUJqTpQWwp2VCgZscTB3pW0cmVjgdutKbszZaspuzVlH2rN28fk2a9i_1zxpKYCYgdgPVovY_mj9T9TfwMXFp1q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1882358152</pqid></control><display><type>article</type><title>3D-black-blood 3T-MRI for the diagnosis of thoracic large vessel vasculitis: A feasibility study</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Treitl, Karla Maria ; Maurus, Stefan ; Sommer, Nora Narvina ; Kooijman-Kurfuerst, Hendrik ; Coppenrath, Eva ; Treitl, Marcus ; Czihal, Michael ; Hoffmann, Ulrich ; Dechant, Claudia ; Schulze-Koops, Hendrik ; Saam, Tobias</creator><creatorcontrib>Treitl, Karla Maria ; Maurus, Stefan ; Sommer, Nora Narvina ; Kooijman-Kurfuerst, Hendrik ; Coppenrath, Eva ; Treitl, Marcus ; Czihal, Michael ; Hoffmann, Ulrich ; Dechant, Claudia ; Schulze-Koops, Hendrik ; Saam, Tobias</creatorcontrib><description>Objectives
To evaluate the feasibility of T1w-3D black-blood turbo spin echo (TSE) sequence with variable flip angles for the diagnosis of thoracic large vessel vasculitis (LVV).
Methods
Thirty-five patients with LVV, diagnosed according to the current standard of reference, and 35 controls were imaged at 3.0T using 1.2 × 1.3 × 2.0 mm
3
fat-suppressed, T1w-3D, modified Volumetric Isotropic TSE Acquisition (mVISTA) pre- and post-contrast. Applying a navigator and peripheral pulse unit triggering (PPU), the total scan time was 10–12 min. Thoracic aorta and subclavian and pulmonary arteries were evaluated for image quality (IQ), flow artefact intensity, diagnostic confidence, concentric wall thickening and contrast enhancement (CWT, CCE) using a 4-point scale.
Results
IQ was good in all examinations (3.25 ± 0.72) and good to excellent in 342 of 408 evaluated segments (83.8 %), while 84.1 % showed no or minor flow artefacts. The interobserver reproducibility for the identification of CCE and CWT was 0.969 and 0.971 (p < 0.001) with an average diagnostic confidence of 3.47 ± 0.64. CCE and CWT were strongly correlated (Cohen’s k = 0.87; P < 0.001) and significantly more frequent in the LVV-group (52.8 % vs. 1.0 %; 59.8 % vs. 2.4 %; P < 0.001).
Conclusions
Navigated fat-suppressed T1w-3D black-blood MRI with PPU-triggering allows diagnosis of thoracic LVV.
Key Points
•
Cross-sectional imaging is frequently applied in the diagnosis of LVV.
•
Navigated, PPU-triggered, T1w-3D mVISTA pre- and post contrast takes 10–12 min.
•
In this prospective, single-centre study, T1w-3D mVISTA accurately depicted large thoracic vessels.
•
T1w-3D mVISTA visualized CWT/CCW as correlates of mural inflammation in LVV.
•
T1w-3D mVISTA might be an alternative diagnostic tool without ionizing radiation.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-016-4525-x</identifier><identifier>PMID: 27510630</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Aorta, Thoracic - diagnostic imaging ; Aortitis - diagnostic imaging ; Coronary vessels ; Diagnostic Radiology ; Feasibility Studies ; Female ; Giant Cell Arteritis - diagnostic imaging ; Humans ; Image Interpretation, Computer-Assisted - methods ; Imaging ; Internal Medicine ; Interventional Radiology ; Magnetic Resonance ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Prospective Studies ; Pulmonary arteries ; Pulmonary Artery - diagnostic imaging ; Radiation ; Radiology ; Reproducibility of Results ; Rheumatology ; Subclavian Artery - diagnostic imaging ; Takayasu Arteritis - diagnostic imaging ; Tomography ; Ultrasonography, Doppler, Color - methods ; Ultrasonography, Doppler, Duplex - methods ; Ultrasound ; Vasculitis - diagnostic imaging ; Vein & artery diseases ; Young Adult</subject><ispartof>European radiology, 2017-05, Vol.27 (5), p.2119-2128</ispartof><rights>European Society of Radiology 2016</rights><rights>European Radiology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-29f93879cbbeda19a3aa636d6cde22fa77d2e4b6e526839b85a32bbb57b117ab3</citedby><cites>FETCH-LOGICAL-c471t-29f93879cbbeda19a3aa636d6cde22fa77d2e4b6e526839b85a32bbb57b117ab3</cites><orcidid>0000-0002-3748-4614</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/s00330-016-4525-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-016-4525-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27510630$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Treitl, Karla Maria</creatorcontrib><creatorcontrib>Maurus, Stefan</creatorcontrib><creatorcontrib>Sommer, Nora Narvina</creatorcontrib><creatorcontrib>Kooijman-Kurfuerst, Hendrik</creatorcontrib><creatorcontrib>Coppenrath, Eva</creatorcontrib><creatorcontrib>Treitl, Marcus</creatorcontrib><creatorcontrib>Czihal, Michael</creatorcontrib><creatorcontrib>Hoffmann, Ulrich</creatorcontrib><creatorcontrib>Dechant, Claudia</creatorcontrib><creatorcontrib>Schulze-Koops, Hendrik</creatorcontrib><creatorcontrib>Saam, Tobias</creatorcontrib><title>3D-black-blood 3T-MRI for the diagnosis of thoracic large vessel vasculitis: A feasibility study</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To evaluate the feasibility of T1w-3D black-blood turbo spin echo (TSE) sequence with variable flip angles for the diagnosis of thoracic large vessel vasculitis (LVV).
Methods
Thirty-five patients with LVV, diagnosed according to the current standard of reference, and 35 controls were imaged at 3.0T using 1.2 × 1.3 × 2.0 mm
3
fat-suppressed, T1w-3D, modified Volumetric Isotropic TSE Acquisition (mVISTA) pre- and post-contrast. Applying a navigator and peripheral pulse unit triggering (PPU), the total scan time was 10–12 min. Thoracic aorta and subclavian and pulmonary arteries were evaluated for image quality (IQ), flow artefact intensity, diagnostic confidence, concentric wall thickening and contrast enhancement (CWT, CCE) using a 4-point scale.
Results
IQ was good in all examinations (3.25 ± 0.72) and good to excellent in 342 of 408 evaluated segments (83.8 %), while 84.1 % showed no or minor flow artefacts. The interobserver reproducibility for the identification of CCE and CWT was 0.969 and 0.971 (p < 0.001) with an average diagnostic confidence of 3.47 ± 0.64. CCE and CWT were strongly correlated (Cohen’s k = 0.87; P < 0.001) and significantly more frequent in the LVV-group (52.8 % vs. 1.0 %; 59.8 % vs. 2.4 %; P < 0.001).
Conclusions
Navigated fat-suppressed T1w-3D black-blood MRI with PPU-triggering allows diagnosis of thoracic LVV.
Key Points
•
Cross-sectional imaging is frequently applied in the diagnosis of LVV.
•
Navigated, PPU-triggered, T1w-3D mVISTA pre- and post contrast takes 10–12 min.
•
In this prospective, single-centre study, T1w-3D mVISTA accurately depicted large thoracic vessels.
•
T1w-3D mVISTA visualized CWT/CCW as correlates of mural inflammation in LVV.
•
T1w-3D mVISTA might be an alternative diagnostic tool without ionizing radiation.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aorta, Thoracic - diagnostic imaging</subject><subject>Aortitis - diagnostic imaging</subject><subject>Coronary vessels</subject><subject>Diagnostic Radiology</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Giant Cell Arteritis - diagnostic imaging</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Magnetic Resonance</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Prospective Studies</subject><subject>Pulmonary arteries</subject><subject>Pulmonary Artery - diagnostic imaging</subject><subject>Radiation</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Rheumatology</subject><subject>Subclavian Artery - diagnostic imaging</subject><subject>Takayasu Arteritis - diagnostic imaging</subject><subject>Tomography</subject><subject>Ultrasonography, Doppler, Color - methods</subject><subject>Ultrasonography, Doppler, Duplex - methods</subject><subject>Ultrasound</subject><subject>Vasculitis - diagnostic imaging</subject><subject>Vein & artery diseases</subject><subject>Young Adult</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkV1vFCEUhkmjsdvqD-iNIfHGGyoHhmHwrqn2I6kxMfUagWG21Nmlcmaa7r-XzbaNMTHxBgI85z3AQ8gR8GPgXH9AzqXkjEPLGiUUe9gjC2ikYMC75gVZcCM7po1p9skB4i3n3ECjX5F9oRXwVvIF-SE_MT-68LOOOfdUXrMv3y7pkAudbiLtk1uuMyakeagbubiQAh1dWUZ6HxHjSO8dhnlMU8KP9IQO0WHyqa43FKe537wmLwc3YnzzOB-S72efr08v2NXX88vTkysWGg0TE2aol9UmeB97B8ZJ51rZ9m3ooxCD07oXsfFtVKLtpPGdclJ475X2ANp5eUje73LvSv41R5zsKmGI4-jWMc9ooTPQaaif8R-oMlqKBkRF3_2F3ua5rOtDKtUJqTpQWwp2VCgZscTB3pW0cmVjgdutKbszZaspuzVlH2rN28fk2a9i_1zxpKYCYgdgPVovY_mj9T9TfwMXFp1q</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Treitl, Karla Maria</creator><creator>Maurus, Stefan</creator><creator>Sommer, Nora Narvina</creator><creator>Kooijman-Kurfuerst, Hendrik</creator><creator>Coppenrath, Eva</creator><creator>Treitl, Marcus</creator><creator>Czihal, Michael</creator><creator>Hoffmann, Ulrich</creator><creator>Dechant, Claudia</creator><creator>Schulze-Koops, Hendrik</creator><creator>Saam, Tobias</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3748-4614</orcidid></search><sort><creationdate>20170501</creationdate><title>3D-black-blood 3T-MRI for the diagnosis of thoracic large vessel vasculitis: A feasibility study</title><author>Treitl, Karla Maria ; Maurus, Stefan ; Sommer, Nora Narvina ; Kooijman-Kurfuerst, Hendrik ; Coppenrath, Eva ; Treitl, Marcus ; Czihal, Michael ; Hoffmann, Ulrich ; Dechant, Claudia ; Schulze-Koops, Hendrik ; Saam, Tobias</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-29f93879cbbeda19a3aa636d6cde22fa77d2e4b6e526839b85a32bbb57b117ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aorta, Thoracic - diagnostic imaging</topic><topic>Aortitis - diagnostic imaging</topic><topic>Coronary vessels</topic><topic>Diagnostic Radiology</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Giant Cell Arteritis - diagnostic imaging</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Magnetic Resonance</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Prospective Studies</topic><topic>Pulmonary arteries</topic><topic>Pulmonary Artery - diagnostic imaging</topic><topic>Radiation</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Rheumatology</topic><topic>Subclavian Artery - diagnostic imaging</topic><topic>Takayasu Arteritis - diagnostic imaging</topic><topic>Tomography</topic><topic>Ultrasonography, Doppler, Color - methods</topic><topic>Ultrasonography, Doppler, Duplex - methods</topic><topic>Ultrasound</topic><topic>Vasculitis - diagnostic imaging</topic><topic>Vein & artery diseases</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Treitl, Karla Maria</creatorcontrib><creatorcontrib>Maurus, Stefan</creatorcontrib><creatorcontrib>Sommer, Nora Narvina</creatorcontrib><creatorcontrib>Kooijman-Kurfuerst, Hendrik</creatorcontrib><creatorcontrib>Coppenrath, Eva</creatorcontrib><creatorcontrib>Treitl, Marcus</creatorcontrib><creatorcontrib>Czihal, Michael</creatorcontrib><creatorcontrib>Hoffmann, Ulrich</creatorcontrib><creatorcontrib>Dechant, Claudia</creatorcontrib><creatorcontrib>Schulze-Koops, Hendrik</creatorcontrib><creatorcontrib>Saam, Tobias</creatorcontrib><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>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</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>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science 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>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Treitl, Karla Maria</au><au>Maurus, Stefan</au><au>Sommer, Nora Narvina</au><au>Kooijman-Kurfuerst, Hendrik</au><au>Coppenrath, Eva</au><au>Treitl, Marcus</au><au>Czihal, Michael</au><au>Hoffmann, Ulrich</au><au>Dechant, Claudia</au><au>Schulze-Koops, Hendrik</au><au>Saam, Tobias</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>3D-black-blood 3T-MRI for the diagnosis of thoracic large vessel vasculitis: A feasibility study</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>27</volume><issue>5</issue><spage>2119</spage><epage>2128</epage><pages>2119-2128</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To evaluate the feasibility of T1w-3D black-blood turbo spin echo (TSE) sequence with variable flip angles for the diagnosis of thoracic large vessel vasculitis (LVV).
Methods
Thirty-five patients with LVV, diagnosed according to the current standard of reference, and 35 controls were imaged at 3.0T using 1.2 × 1.3 × 2.0 mm
3
fat-suppressed, T1w-3D, modified Volumetric Isotropic TSE Acquisition (mVISTA) pre- and post-contrast. Applying a navigator and peripheral pulse unit triggering (PPU), the total scan time was 10–12 min. Thoracic aorta and subclavian and pulmonary arteries were evaluated for image quality (IQ), flow artefact intensity, diagnostic confidence, concentric wall thickening and contrast enhancement (CWT, CCE) using a 4-point scale.
Results
IQ was good in all examinations (3.25 ± 0.72) and good to excellent in 342 of 408 evaluated segments (83.8 %), while 84.1 % showed no or minor flow artefacts. The interobserver reproducibility for the identification of CCE and CWT was 0.969 and 0.971 (p < 0.001) with an average diagnostic confidence of 3.47 ± 0.64. CCE and CWT were strongly correlated (Cohen’s k = 0.87; P < 0.001) and significantly more frequent in the LVV-group (52.8 % vs. 1.0 %; 59.8 % vs. 2.4 %; P < 0.001).
Conclusions
Navigated fat-suppressed T1w-3D black-blood MRI with PPU-triggering allows diagnosis of thoracic LVV.
Key Points
•
Cross-sectional imaging is frequently applied in the diagnosis of LVV.
•
Navigated, PPU-triggered, T1w-3D mVISTA pre- and post contrast takes 10–12 min.
•
In this prospective, single-centre study, T1w-3D mVISTA accurately depicted large thoracic vessels.
•
T1w-3D mVISTA visualized CWT/CCW as correlates of mural inflammation in LVV.
•
T1w-3D mVISTA might be an alternative diagnostic tool without ionizing radiation.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27510630</pmid><doi>10.1007/s00330-016-4525-x</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-3748-4614</orcidid></addata></record> |
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| ispartof | European radiology, 2017-05, Vol.27 (5), p.2119-2128 |
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| language | eng |
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| subjects | Adult Aged Aged, 80 and over Aorta, Thoracic - diagnostic imaging Aortitis - diagnostic imaging Coronary vessels Diagnostic Radiology Feasibility Studies Female Giant Cell Arteritis - diagnostic imaging Humans Image Interpretation, Computer-Assisted - methods Imaging Internal Medicine Interventional Radiology Magnetic Resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Middle Aged Neuroradiology Prospective Studies Pulmonary arteries Pulmonary Artery - diagnostic imaging Radiation Radiology Reproducibility of Results Rheumatology Subclavian Artery - diagnostic imaging Takayasu Arteritis - diagnostic imaging Tomography Ultrasonography, Doppler, Color - methods Ultrasonography, Doppler, Duplex - methods Ultrasound Vasculitis - diagnostic imaging Vein & artery diseases Young Adult |
| title | 3D-black-blood 3T-MRI for the diagnosis of thoracic large vessel vasculitis: A feasibility study |
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