Giant-cell arteritis: concordance study between aortic CT angiography and FDG-PET/CT in detection of large-vessel involvement
Purpose The purpose of our study was to assess the concordance of aortic CT angiography (CTA) and FDG-PET/CT in the detection of large-vessel involvement at diagnosis in patients with giant-cell arteritis (GCA). Methods We created a multicenter cohort of patients with GCA diagnosed between 2010 and...
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Veröffentlicht in: | European journal of nuclear medicine and molecular imaging 2017-12, Vol.44 (13), p.2274-2279 |
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creator | de Boysson, Hubert Dumont, Anael Liozon, Eric Lambert, Marc Boutemy, Jonathan Maigné, Gwénola Martin Silva, Nicolas Sultan, Audrey Ly, Kim Heang Aide, Nicolas Manrique, Alain Bienvenu, Boris Aouba, Achille |
description | Purpose
The purpose of our study was to assess the concordance of aortic CT angiography (CTA) and FDG-PET/CT in the detection of large-vessel involvement at diagnosis in patients with giant-cell arteritis (GCA).
Methods
We created a multicenter cohort of patients with GCA diagnosed between 2010 and 2015, and who underwent both FDG-PET/CT and aortic CTA before or in the first ten days following treatment introduction. Eight vascular segments were studied on each procedure. We calculated concordance between both imaging techniques in a per-patient and a per-segment analysis, using Cohen’s kappa concordance index.
Results
We included 28 patients (21/7 women/men, median age 67 [56–82]). Nineteen patients had large-vessel involvement on PET/CT and 18 of these patients also presented positive findings on CTA. In a per-segment analysis, a median of 5 [1–7] and 3 [1–6] vascular territories were involved on positive PET/CT and CTA, respectively (
p
= 0.03). In qualitative analysis, i.e., positivity of the procedure suggesting a large-vessel involvement, the concordance rate between both procedures was 0.85 [0.64–1]. In quantitative analysis, i.e., per-segment analysis in both procedures, the global concordance rate was 0.64 [0.54–0.75]. Using FDG-PET/CT as a reference, CTA showed excellent sensitivity (95%) and specificity (100%) in a per-patient analysis. In a per-segment analysis, sensitivity and specificity were 61% and 97.9%, respectively.
Conclusions
CTA and FDG-PET/CT were both able to detect large-vessel involvement in GCA with comparable results in a per-patient analysis. However, PET/CT showed higher performance in a per-segment analysis, especially in the detection of inflammation of the aorta’s branches. |
doi_str_mv | 10.1007/s00259-017-3774-5 |
format | Article |
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The purpose of our study was to assess the concordance of aortic CT angiography (CTA) and FDG-PET/CT in the detection of large-vessel involvement at diagnosis in patients with giant-cell arteritis (GCA).
Methods
We created a multicenter cohort of patients with GCA diagnosed between 2010 and 2015, and who underwent both FDG-PET/CT and aortic CTA before or in the first ten days following treatment introduction. Eight vascular segments were studied on each procedure. We calculated concordance between both imaging techniques in a per-patient and a per-segment analysis, using Cohen’s kappa concordance index.
Results
We included 28 patients (21/7 women/men, median age 67 [56–82]). Nineteen patients had large-vessel involvement on PET/CT and 18 of these patients also presented positive findings on CTA. In a per-segment analysis, a median of 5 [1–7] and 3 [1–6] vascular territories were involved on positive PET/CT and CTA, respectively (
p
= 0.03). In qualitative analysis, i.e., positivity of the procedure suggesting a large-vessel involvement, the concordance rate between both procedures was 0.85 [0.64–1]. In quantitative analysis, i.e., per-segment analysis in both procedures, the global concordance rate was 0.64 [0.54–0.75]. Using FDG-PET/CT as a reference, CTA showed excellent sensitivity (95%) and specificity (100%) in a per-patient analysis. In a per-segment analysis, sensitivity and specificity were 61% and 97.9%, respectively.
Conclusions
CTA and FDG-PET/CT were both able to detect large-vessel involvement in GCA with comparable results in a per-patient analysis. However, PET/CT showed higher performance in a per-segment analysis, especially in the detection of inflammation of the aorta’s branches.</description><identifier>ISSN: 1619-7070</identifier><identifier>EISSN: 1619-7089</identifier><identifier>DOI: 10.1007/s00259-017-3774-5</identifier><identifier>PMID: 28736805</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Aged, 80 and over ; Angiography ; Aorta ; Aorta - diagnostic imaging ; Arteritis ; Autoimmune diseases ; Bioengineering ; Cardiology ; Cardiology and cardiovascular system ; Computed tomography ; Computed Tomography Angiography ; Female ; Fluorodeoxyglucose F18 ; Giant Cell Arteritis - diagnostic imaging ; Human health and pathology ; Humans ; Imaging ; Imaging techniques ; Inflammatory diseases ; Life Sciences ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Middle Aged ; Nuclear Medicine ; Oncology ; Original Article ; Orthopedics ; Patients ; Positron emission ; Positron Emission Tomography Computed Tomography ; Qualitative analysis ; Quantitative analysis ; Radiology ; Retrospective Studies ; Sensitivity ; Sensitivity analysis ; Tomography ; Vein & artery diseases ; Veins & arteries</subject><ispartof>European journal of nuclear medicine and molecular imaging, 2017-12, Vol.44 (13), p.2274-2279</ispartof><rights>Springer-Verlag GmbH Germany 2017</rights><rights>European Journal of Nuclear Medicine and Molecular Imaging is a copyright of Springer, (2017). All Rights Reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-e70eb937a51207d430043f3f6bab81f14671f32e9e4c4104c1d4a50f1eaa00ca3</citedby><cites>FETCH-LOGICAL-c475t-e70eb937a51207d430043f3f6bab81f14671f32e9e4c4104c1d4a50f1eaa00ca3</cites><orcidid>0000-0001-9083-8365 ; 0000-0001-9207-0847</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/s00259-017-3774-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00259-017-3774-5$$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/28736805$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inserm.hal.science/inserm-02127023$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>de Boysson, Hubert</creatorcontrib><creatorcontrib>Dumont, Anael</creatorcontrib><creatorcontrib>Liozon, Eric</creatorcontrib><creatorcontrib>Lambert, Marc</creatorcontrib><creatorcontrib>Boutemy, Jonathan</creatorcontrib><creatorcontrib>Maigné, Gwénola</creatorcontrib><creatorcontrib>Martin Silva, Nicolas</creatorcontrib><creatorcontrib>Sultan, Audrey</creatorcontrib><creatorcontrib>Ly, Kim Heang</creatorcontrib><creatorcontrib>Aide, Nicolas</creatorcontrib><creatorcontrib>Manrique, Alain</creatorcontrib><creatorcontrib>Bienvenu, Boris</creatorcontrib><creatorcontrib>Aouba, Achille</creatorcontrib><title>Giant-cell arteritis: concordance study between aortic CT angiography and FDG-PET/CT in detection of large-vessel involvement</title><title>European journal of nuclear medicine and molecular imaging</title><addtitle>Eur J Nucl Med Mol Imaging</addtitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><description>Purpose
The purpose of our study was to assess the concordance of aortic CT angiography (CTA) and FDG-PET/CT in the detection of large-vessel involvement at diagnosis in patients with giant-cell arteritis (GCA).
Methods
We created a multicenter cohort of patients with GCA diagnosed between 2010 and 2015, and who underwent both FDG-PET/CT and aortic CTA before or in the first ten days following treatment introduction. Eight vascular segments were studied on each procedure. We calculated concordance between both imaging techniques in a per-patient and a per-segment analysis, using Cohen’s kappa concordance index.
Results
We included 28 patients (21/7 women/men, median age 67 [56–82]). Nineteen patients had large-vessel involvement on PET/CT and 18 of these patients also presented positive findings on CTA. In a per-segment analysis, a median of 5 [1–7] and 3 [1–6] vascular territories were involved on positive PET/CT and CTA, respectively (
p
= 0.03). In qualitative analysis, i.e., positivity of the procedure suggesting a large-vessel involvement, the concordance rate between both procedures was 0.85 [0.64–1]. In quantitative analysis, i.e., per-segment analysis in both procedures, the global concordance rate was 0.64 [0.54–0.75]. Using FDG-PET/CT as a reference, CTA showed excellent sensitivity (95%) and specificity (100%) in a per-patient analysis. In a per-segment analysis, sensitivity and specificity were 61% and 97.9%, respectively.
Conclusions
CTA and FDG-PET/CT were both able to detect large-vessel involvement in GCA with comparable results in a per-patient analysis. However, PET/CT showed higher performance in a per-segment analysis, especially in the detection of inflammation of the aorta’s branches.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Angiography</subject><subject>Aorta</subject><subject>Aorta - diagnostic imaging</subject><subject>Arteritis</subject><subject>Autoimmune diseases</subject><subject>Bioengineering</subject><subject>Cardiology</subject><subject>Cardiology and cardiovascular system</subject><subject>Computed tomography</subject><subject>Computed Tomography Angiography</subject><subject>Female</subject><subject>Fluorodeoxyglucose F18</subject><subject>Giant Cell Arteritis - diagnostic imaging</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Imaging techniques</subject><subject>Inflammatory diseases</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Nuclear Medicine</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Patients</subject><subject>Positron emission</subject><subject>Positron Emission Tomography Computed Tomography</subject><subject>Qualitative analysis</subject><subject>Quantitative analysis</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Tomography</subject><subject>Vein & artery diseases</subject><subject>Veins & arteries</subject><issn>1619-7070</issn><issn>1619-7089</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU9v1DAQxSMEon_gA3BBlrhwaOhMnMQJt2ppt0grwWE5W44z2brK2ovtbLUHvjtepawQEqcZ6f3mzdgvy94hfEIAcR0AiqrNAUXOhSjz6kV2jjW2uYCmfXnqBZxlFyE8AmBTNO3r7KxoBK8bqM6zX0ujbMw1jSNTPpI30YTPTDurne-V1cRCnPoD6yg-EVmmnI9Gs8WaKbsxbuPV7uGQ-p7dfVnm32_X10kylvUUSUfjLHMDG5XfUL6nEGhM4t6Ne9qSjW-yV4MaA719rpfZj7vb9eI-X31bfl3crHJdiirmJIC6lgtVYQGiLzlAyQc-1J3qGhywrAUOvKCWSl0ilBr7UlUwICkFoBW_zK5m3wc1yp03W-UP0ikj729W0thAfiuhwEJAwfeY8I8zvvPu50Qhyq0Jxy9SltwUJLYFR8SW84R--Ad9dJO36TGJqpNlzasjhTOlvQvB03A6AkEeo5RzlDJFKY9RyirNvH92nrot9aeJP9kloJiBkCS7If_X6v-6_gbMKqhW</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>de Boysson, Hubert</creator><creator>Dumont, Anael</creator><creator>Liozon, Eric</creator><creator>Lambert, Marc</creator><creator>Boutemy, Jonathan</creator><creator>Maigné, Gwénola</creator><creator>Martin Silva, Nicolas</creator><creator>Sultan, Audrey</creator><creator>Ly, Kim Heang</creator><creator>Aide, Nicolas</creator><creator>Manrique, Alain</creator><creator>Bienvenu, Boris</creator><creator>Aouba, Achille</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>Springer Verlag (Germany) [1976-....]</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>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</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>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>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-9083-8365</orcidid><orcidid>https://orcid.org/0000-0001-9207-0847</orcidid></search><sort><creationdate>20171201</creationdate><title>Giant-cell arteritis: concordance study between aortic CT angiography and FDG-PET/CT in detection of large-vessel involvement</title><author>de Boysson, Hubert ; Dumont, Anael ; Liozon, Eric ; Lambert, Marc ; Boutemy, Jonathan ; Maigné, Gwénola ; Martin Silva, Nicolas ; Sultan, Audrey ; Ly, Kim Heang ; Aide, Nicolas ; Manrique, Alain ; Bienvenu, Boris ; Aouba, Achille</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-e70eb937a51207d430043f3f6bab81f14671f32e9e4c4104c1d4a50f1eaa00ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Angiography</topic><topic>Aorta</topic><topic>Aorta - diagnostic imaging</topic><topic>Arteritis</topic><topic>Autoimmune diseases</topic><topic>Bioengineering</topic><topic>Cardiology</topic><topic>Cardiology and cardiovascular system</topic><topic>Computed tomography</topic><topic>Computed Tomography Angiography</topic><topic>Female</topic><topic>Fluorodeoxyglucose F18</topic><topic>Giant Cell Arteritis - diagnostic imaging</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Imaging techniques</topic><topic>Inflammatory diseases</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Nuclear Medicine</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Patients</topic><topic>Positron emission</topic><topic>Positron Emission Tomography Computed Tomography</topic><topic>Qualitative analysis</topic><topic>Quantitative analysis</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Tomography</topic><topic>Vein & artery diseases</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Boysson, Hubert</creatorcontrib><creatorcontrib>Dumont, Anael</creatorcontrib><creatorcontrib>Liozon, Eric</creatorcontrib><creatorcontrib>Lambert, Marc</creatorcontrib><creatorcontrib>Boutemy, Jonathan</creatorcontrib><creatorcontrib>Maigné, Gwénola</creatorcontrib><creatorcontrib>Martin Silva, Nicolas</creatorcontrib><creatorcontrib>Sultan, Audrey</creatorcontrib><creatorcontrib>Ly, Kim Heang</creatorcontrib><creatorcontrib>Aide, Nicolas</creatorcontrib><creatorcontrib>Manrique, Alain</creatorcontrib><creatorcontrib>Bienvenu, Boris</creatorcontrib><creatorcontrib>Aouba, Achille</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>Nursing & Allied Health Database</collection><collection>Neurosciences 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>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>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>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><collection>Hyper Article en Ligne (HAL)</collection><jtitle>European journal of nuclear medicine and molecular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Boysson, Hubert</au><au>Dumont, Anael</au><au>Liozon, Eric</au><au>Lambert, Marc</au><au>Boutemy, Jonathan</au><au>Maigné, Gwénola</au><au>Martin Silva, Nicolas</au><au>Sultan, Audrey</au><au>Ly, Kim Heang</au><au>Aide, Nicolas</au><au>Manrique, Alain</au><au>Bienvenu, Boris</au><au>Aouba, Achille</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Giant-cell arteritis: concordance study between aortic CT angiography and FDG-PET/CT in detection of large-vessel involvement</atitle><jtitle>European journal of nuclear medicine and molecular imaging</jtitle><stitle>Eur J Nucl Med Mol Imaging</stitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>44</volume><issue>13</issue><spage>2274</spage><epage>2279</epage><pages>2274-2279</pages><issn>1619-7070</issn><eissn>1619-7089</eissn><abstract>Purpose
The purpose of our study was to assess the concordance of aortic CT angiography (CTA) and FDG-PET/CT in the detection of large-vessel involvement at diagnosis in patients with giant-cell arteritis (GCA).
Methods
We created a multicenter cohort of patients with GCA diagnosed between 2010 and 2015, and who underwent both FDG-PET/CT and aortic CTA before or in the first ten days following treatment introduction. Eight vascular segments were studied on each procedure. We calculated concordance between both imaging techniques in a per-patient and a per-segment analysis, using Cohen’s kappa concordance index.
Results
We included 28 patients (21/7 women/men, median age 67 [56–82]). Nineteen patients had large-vessel involvement on PET/CT and 18 of these patients also presented positive findings on CTA. In a per-segment analysis, a median of 5 [1–7] and 3 [1–6] vascular territories were involved on positive PET/CT and CTA, respectively (
p
= 0.03). In qualitative analysis, i.e., positivity of the procedure suggesting a large-vessel involvement, the concordance rate between both procedures was 0.85 [0.64–1]. In quantitative analysis, i.e., per-segment analysis in both procedures, the global concordance rate was 0.64 [0.54–0.75]. Using FDG-PET/CT as a reference, CTA showed excellent sensitivity (95%) and specificity (100%) in a per-patient analysis. In a per-segment analysis, sensitivity and specificity were 61% and 97.9%, respectively.
Conclusions
CTA and FDG-PET/CT were both able to detect large-vessel involvement in GCA with comparable results in a per-patient analysis. However, PET/CT showed higher performance in a per-segment analysis, especially in the detection of inflammation of the aorta’s branches.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28736805</pmid><doi>10.1007/s00259-017-3774-5</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-9083-8365</orcidid><orcidid>https://orcid.org/0000-0001-9207-0847</orcidid></addata></record> |
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subjects | Aged Aged, 80 and over Angiography Aorta Aorta - diagnostic imaging Arteritis Autoimmune diseases Bioengineering Cardiology Cardiology and cardiovascular system Computed tomography Computed Tomography Angiography Female Fluorodeoxyglucose F18 Giant Cell Arteritis - diagnostic imaging Human health and pathology Humans Imaging Imaging techniques Inflammatory diseases Life Sciences Male Medical imaging Medicine Medicine & Public Health Middle Aged Nuclear Medicine Oncology Original Article Orthopedics Patients Positron emission Positron Emission Tomography Computed Tomography Qualitative analysis Quantitative analysis Radiology Retrospective Studies Sensitivity Sensitivity analysis Tomography Vein & artery diseases Veins & arteries |
title | Giant-cell arteritis: concordance study between aortic CT angiography and FDG-PET/CT in detection of large-vessel involvement |
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