[68Ga]Pentixafor-PET/MRI for the detection of Chemokine receptor 4 expression in atherosclerotic plaques
Purpose The expression of chemokine receptor type 4 (CXCR4) was found co-localized with macrophages on the atherosclerotic vessel wall and participated in the initial emigration of leukocytes. Gallium-68 [ 68 Ga]Pentixafor has recently been introduced for the imaging of atherosclerosis by targeting...
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creator | Li, Xiang Heber, Daniel Leike, Tatjana Beitzke, Dietrich Lu, Xia Zhang, Xiaoli Wei, Yongxiang Mitterhauser, Markus Wadsak, Wolfgang Kropf, Saskia Wester, Hans J. Loewe, Christian Hacker, Marcus Haug, Alexander R. |
description | Purpose
The expression of chemokine receptor type 4 (CXCR4) was found co-localized with macrophages on the atherosclerotic vessel wall and participated in the initial emigration of leukocytes. Gallium-68 [
68
Ga]Pentixafor has recently been introduced for the imaging of atherosclerosis by targeting CXCR4. We sought to evaluate human atherosclerotic lesions using [
68
Ga]Pentixafor PET/MRI.
Methods
Thirty-eight oncology patients underwent [
68
Ga]Pentixafor PET/MR imaging at baseline. Maximum standardized uptake values (SUV
max
) were derived from hot lesions in seven arterial segments and target-to-blood ratios (TBR) were calculated. ANOVA post-hoc and paired t test were performed for statistical comparison, Spearman’s correlation coefficient between uptake ratios and cardiovascular risk factors were assessed. The reproducibility of [
68
Ga]Pentixafor PET/MRI was assessed in seven patients with a follow-up exanimation by Pearson’s regression and Bland–Altman plots analysis.
Results
Thirty-four of 38 patients showed 611 focal [
68
Ga]Pentixafor uptake that followed the contours of the large arteries. Both prevalence and mean TBR
max
were highest in the descending aorta. There were significantly higher TBR values found in men (1.9 ± 0.3) as compared to women (1.7 ± 0.2;
p
1.7 showed a significantly higher incidence of diabetes, hypertension hypercholesterolemia and history of cardiovascular disease than patients with mean TBR
max
≤ 1.7. [
68
Ga]Pentixafor uptake showed a good reproducibility (
r
= 0.6,
p
|
doi_str_mv | 10.1007/s00259-017-3831-0 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5829117</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1941370482</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-4477c4b563e9e10529b0ab16d13d4f5ec8fc2fe3facb7f60ffe7538de81ef93</originalsourceid><addsrcrecordid>eNp1kd9rFDEQx4NY7A_9A3yRgC--rJ0ku5vkRZCj1kJLi_ZNJGSzk17q3mab7En975vj6qkFXyYD85lvZuZLyGsG7xmAPM4AvNEVMFkJJVgFz8gBa5muJCj9fJdL2CeHOd8CMMWVfkH2SxRcAxyQ5bdWndrvVzjO4d76mKqrk-vjiy9ntOR0XiLtcUY3hzjS6Oliiav4I4xIEzqc5sLUFO-nhDlvkDBSW5pSzG4ocQ6OToO9W2N-Sfa8HTK-enyPyNdPJ9eLz9X55enZ4uN55WoJc1XXUrq6a1qBGhk0XHdgO9b2TPS1b9Ap77hH4a3rpG_Be5SNUD0qhl6LI_JhqzqtuxX2rqyV7GCmFFY2_TLRBvNvZQxLcxN_mkZxzZgsAu8eBVLcjD2bVcgOh8GOGNfZMF0zIaFWvKBvn6C3cZ3GspzhAEqVcwtWKLalXDlKTuh3wzAwGxfN1kVTXDQbFw2Unjd_b7Hr-G1bAfgWyKU03mD68_X_VR8ASFSpgw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2008800131</pqid></control><display><type>article</type><title>[68Ga]Pentixafor-PET/MRI for the detection of Chemokine receptor 4 expression in atherosclerotic plaques</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Li, Xiang ; Heber, Daniel ; Leike, Tatjana ; Beitzke, Dietrich ; Lu, Xia ; Zhang, Xiaoli ; Wei, Yongxiang ; Mitterhauser, Markus ; Wadsak, Wolfgang ; Kropf, Saskia ; Wester, Hans J. ; Loewe, Christian ; Hacker, Marcus ; Haug, Alexander R.</creator><creatorcontrib>Li, Xiang ; Heber, Daniel ; Leike, Tatjana ; Beitzke, Dietrich ; Lu, Xia ; Zhang, Xiaoli ; Wei, Yongxiang ; Mitterhauser, Markus ; Wadsak, Wolfgang ; Kropf, Saskia ; Wester, Hans J. ; Loewe, Christian ; Hacker, Marcus ; Haug, Alexander R.</creatorcontrib><description>Purpose
The expression of chemokine receptor type 4 (CXCR4) was found co-localized with macrophages on the atherosclerotic vessel wall and participated in the initial emigration of leukocytes. Gallium-68 [
68
Ga]Pentixafor has recently been introduced for the imaging of atherosclerosis by targeting CXCR4. We sought to evaluate human atherosclerotic lesions using [
68
Ga]Pentixafor PET/MRI.
Methods
Thirty-eight oncology patients underwent [
68
Ga]Pentixafor PET/MR imaging at baseline. Maximum standardized uptake values (SUV
max
) were derived from hot lesions in seven arterial segments and target-to-blood ratios (TBR) were calculated. ANOVA post-hoc and paired t test were performed for statistical comparison, Spearman’s correlation coefficient between uptake ratios and cardiovascular risk factors were assessed. The reproducibility of [
68
Ga]Pentixafor PET/MRI was assessed in seven patients with a follow-up exanimation by Pearson’s regression and Bland–Altman plots analysis.
Results
Thirty-four of 38 patients showed 611 focal [
68
Ga]Pentixafor uptake that followed the contours of the large arteries. Both prevalence and mean TBR
max
were highest in the descending aorta. There were significantly higher TBR values found in men (1.9 ± 0.3) as compared to women (1.7 ± 0.2;
p
< 0.05). Patients with mean TBR
max
> 1.7 showed a significantly higher incidence of diabetes, hypertension hypercholesterolemia and history of cardiovascular disease than patients with mean TBR
max
≤ 1.7. [
68
Ga]Pentixafor uptake showed a good reproducibility (
r
= 0.6,
p
< 0.01), and there was no difference between the mean TBR
max
values of plaque lesions (TBR
baseline
1.8 ± 0.3 vs TBR
follow-up
1.8 ± 0.3) (
p
= 0.9).
Conclusion
Patients with high arterial uptake showed increased incidence of cardiovascular risk factors, suggesting a potential role of [
68
Ga]Pentixafor in characterization of atherosclerosis.</description><identifier>ISSN: 1619-7070</identifier><identifier>EISSN: 1619-7089</identifier><identifier>DOI: 10.1007/s00259-017-3831-0</identifier><identifier>PMID: 28932900</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Aorta ; Arteries ; Arteriosclerosis ; Atherosclerosis ; Cardiology ; Cardiovascular diseases ; Chemokines ; Coordination Complexes ; Correlation coefficient ; Correlation coefficients ; CXCR4 protein ; Diabetes mellitus ; Female ; Gallium ; Health risk assessment ; Health risks ; Humans ; Hypercholesterolemia ; Hypertension ; Imaging ; Incidence ; Lesions ; Leukocyte migration ; Leukocytes ; Macrophages ; Magnetic Resonance Imaging ; Male ; Mathematical analysis ; Medicine ; Medicine & Public Health ; Middle Aged ; Nuclear Medicine ; Oncology ; Original ; Original Article ; Orthopedics ; Patients ; Peptides, Cyclic ; Plaque, Atherosclerotic - diagnostic imaging ; Plaques ; Positron emission ; Positron-Emission Tomography ; Prospective Studies ; Protein expression ; Radiology ; Receptors, CXCR4 - metabolism ; Regression analysis ; Reproducibility ; Reproducibility of Results ; Retrospective Studies ; Risk analysis ; Risk factors ; Statistical analysis ; Tomography ; Variance analysis</subject><ispartof>European journal of nuclear medicine and molecular imaging, 2018-04, Vol.45 (4), p.558-566</ispartof><rights>The Author(s) 2017</rights><rights>European Journal of Nuclear Medicine and Molecular Imaging is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-4477c4b563e9e10529b0ab16d13d4f5ec8fc2fe3facb7f60ffe7538de81ef93</citedby><cites>FETCH-LOGICAL-c470t-4477c4b563e9e10529b0ab16d13d4f5ec8fc2fe3facb7f60ffe7538de81ef93</cites><orcidid>0000-0002-4222-4083</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/s00259-017-3831-0$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00259-017-3831-0$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28932900$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Heber, Daniel</creatorcontrib><creatorcontrib>Leike, Tatjana</creatorcontrib><creatorcontrib>Beitzke, Dietrich</creatorcontrib><creatorcontrib>Lu, Xia</creatorcontrib><creatorcontrib>Zhang, Xiaoli</creatorcontrib><creatorcontrib>Wei, Yongxiang</creatorcontrib><creatorcontrib>Mitterhauser, Markus</creatorcontrib><creatorcontrib>Wadsak, Wolfgang</creatorcontrib><creatorcontrib>Kropf, Saskia</creatorcontrib><creatorcontrib>Wester, Hans J.</creatorcontrib><creatorcontrib>Loewe, Christian</creatorcontrib><creatorcontrib>Hacker, Marcus</creatorcontrib><creatorcontrib>Haug, Alexander R.</creatorcontrib><title>[68Ga]Pentixafor-PET/MRI for the detection of Chemokine receptor 4 expression in atherosclerotic plaques</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 expression of chemokine receptor type 4 (CXCR4) was found co-localized with macrophages on the atherosclerotic vessel wall and participated in the initial emigration of leukocytes. Gallium-68 [
68
Ga]Pentixafor has recently been introduced for the imaging of atherosclerosis by targeting CXCR4. We sought to evaluate human atherosclerotic lesions using [
68
Ga]Pentixafor PET/MRI.
Methods
Thirty-eight oncology patients underwent [
68
Ga]Pentixafor PET/MR imaging at baseline. Maximum standardized uptake values (SUV
max
) were derived from hot lesions in seven arterial segments and target-to-blood ratios (TBR) were calculated. ANOVA post-hoc and paired t test were performed for statistical comparison, Spearman’s correlation coefficient between uptake ratios and cardiovascular risk factors were assessed. The reproducibility of [
68
Ga]Pentixafor PET/MRI was assessed in seven patients with a follow-up exanimation by Pearson’s regression and Bland–Altman plots analysis.
Results
Thirty-four of 38 patients showed 611 focal [
68
Ga]Pentixafor uptake that followed the contours of the large arteries. Both prevalence and mean TBR
max
were highest in the descending aorta. There were significantly higher TBR values found in men (1.9 ± 0.3) as compared to women (1.7 ± 0.2;
p
< 0.05). Patients with mean TBR
max
> 1.7 showed a significantly higher incidence of diabetes, hypertension hypercholesterolemia and history of cardiovascular disease than patients with mean TBR
max
≤ 1.7. [
68
Ga]Pentixafor uptake showed a good reproducibility (
r
= 0.6,
p
< 0.01), and there was no difference between the mean TBR
max
values of plaque lesions (TBR
baseline
1.8 ± 0.3 vs TBR
follow-up
1.8 ± 0.3) (
p
= 0.9).
Conclusion
Patients with high arterial uptake showed increased incidence of cardiovascular risk factors, suggesting a potential role of [
68
Ga]Pentixafor in characterization of atherosclerosis.</description><subject>Aged</subject><subject>Aorta</subject><subject>Arteries</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Cardiology</subject><subject>Cardiovascular diseases</subject><subject>Chemokines</subject><subject>Coordination Complexes</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>CXCR4 protein</subject><subject>Diabetes mellitus</subject><subject>Female</subject><subject>Gallium</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Humans</subject><subject>Hypercholesterolemia</subject><subject>Hypertension</subject><subject>Imaging</subject><subject>Incidence</subject><subject>Lesions</subject><subject>Leukocyte migration</subject><subject>Leukocytes</subject><subject>Macrophages</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Nuclear Medicine</subject><subject>Oncology</subject><subject>Original</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Patients</subject><subject>Peptides, Cyclic</subject><subject>Plaque, Atherosclerotic - diagnostic imaging</subject><subject>Plaques</subject><subject>Positron emission</subject><subject>Positron-Emission Tomography</subject><subject>Prospective Studies</subject><subject>Protein expression</subject><subject>Radiology</subject><subject>Receptors, CXCR4 - metabolism</subject><subject>Regression analysis</subject><subject>Reproducibility</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Statistical analysis</subject><subject>Tomography</subject><subject>Variance analysis</subject><issn>1619-7070</issn><issn>1619-7089</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><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>eNp1kd9rFDEQx4NY7A_9A3yRgC--rJ0ku5vkRZCj1kJLi_ZNJGSzk17q3mab7En975vj6qkFXyYD85lvZuZLyGsG7xmAPM4AvNEVMFkJJVgFz8gBa5muJCj9fJdL2CeHOd8CMMWVfkH2SxRcAxyQ5bdWndrvVzjO4d76mKqrk-vjiy9ntOR0XiLtcUY3hzjS6Oliiav4I4xIEzqc5sLUFO-nhDlvkDBSW5pSzG4ocQ6OToO9W2N-Sfa8HTK-enyPyNdPJ9eLz9X55enZ4uN55WoJc1XXUrq6a1qBGhk0XHdgO9b2TPS1b9Ap77hH4a3rpG_Be5SNUD0qhl6LI_JhqzqtuxX2rqyV7GCmFFY2_TLRBvNvZQxLcxN_mkZxzZgsAu8eBVLcjD2bVcgOh8GOGNfZMF0zIaFWvKBvn6C3cZ3GspzhAEqVcwtWKLalXDlKTuh3wzAwGxfN1kVTXDQbFw2Unjd_b7Hr-G1bAfgWyKU03mD68_X_VR8ASFSpgw</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Li, Xiang</creator><creator>Heber, Daniel</creator><creator>Leike, Tatjana</creator><creator>Beitzke, Dietrich</creator><creator>Lu, Xia</creator><creator>Zhang, Xiaoli</creator><creator>Wei, Yongxiang</creator><creator>Mitterhauser, Markus</creator><creator>Wadsak, Wolfgang</creator><creator>Kropf, Saskia</creator><creator>Wester, Hans J.</creator><creator>Loewe, Christian</creator><creator>Hacker, Marcus</creator><creator>Haug, Alexander R.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4222-4083</orcidid></search><sort><creationdate>20180401</creationdate><title>[68Ga]Pentixafor-PET/MRI for the detection of Chemokine receptor 4 expression in atherosclerotic plaques</title><author>Li, Xiang ; Heber, Daniel ; Leike, Tatjana ; Beitzke, Dietrich ; Lu, Xia ; Zhang, Xiaoli ; Wei, Yongxiang ; Mitterhauser, Markus ; Wadsak, Wolfgang ; Kropf, Saskia ; Wester, Hans J. ; Loewe, Christian ; Hacker, Marcus ; Haug, Alexander R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-4477c4b563e9e10529b0ab16d13d4f5ec8fc2fe3facb7f60ffe7538de81ef93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Aorta</topic><topic>Arteries</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Cardiology</topic><topic>Cardiovascular diseases</topic><topic>Chemokines</topic><topic>Coordination Complexes</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>CXCR4 protein</topic><topic>Diabetes mellitus</topic><topic>Female</topic><topic>Gallium</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Humans</topic><topic>Hypercholesterolemia</topic><topic>Hypertension</topic><topic>Imaging</topic><topic>Incidence</topic><topic>Lesions</topic><topic>Leukocyte migration</topic><topic>Leukocytes</topic><topic>Macrophages</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Nuclear Medicine</topic><topic>Oncology</topic><topic>Original</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Patients</topic><topic>Peptides, Cyclic</topic><topic>Plaque, Atherosclerotic - diagnostic imaging</topic><topic>Plaques</topic><topic>Positron emission</topic><topic>Positron-Emission Tomography</topic><topic>Prospective Studies</topic><topic>Protein expression</topic><topic>Radiology</topic><topic>Receptors, CXCR4 - metabolism</topic><topic>Regression analysis</topic><topic>Reproducibility</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Statistical analysis</topic><topic>Tomography</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Heber, Daniel</creatorcontrib><creatorcontrib>Leike, Tatjana</creatorcontrib><creatorcontrib>Beitzke, Dietrich</creatorcontrib><creatorcontrib>Lu, Xia</creatorcontrib><creatorcontrib>Zhang, Xiaoli</creatorcontrib><creatorcontrib>Wei, Yongxiang</creatorcontrib><creatorcontrib>Mitterhauser, Markus</creatorcontrib><creatorcontrib>Wadsak, Wolfgang</creatorcontrib><creatorcontrib>Kropf, Saskia</creatorcontrib><creatorcontrib>Wester, Hans J.</creatorcontrib><creatorcontrib>Loewe, Christian</creatorcontrib><creatorcontrib>Hacker, Marcus</creatorcontrib><creatorcontrib>Haug, Alexander R.</creatorcontrib><collection>Springer Nature OA Free Journals</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>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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European journal of nuclear medicine and molecular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xiang</au><au>Heber, Daniel</au><au>Leike, Tatjana</au><au>Beitzke, Dietrich</au><au>Lu, Xia</au><au>Zhang, Xiaoli</au><au>Wei, Yongxiang</au><au>Mitterhauser, Markus</au><au>Wadsak, Wolfgang</au><au>Kropf, Saskia</au><au>Wester, Hans J.</au><au>Loewe, Christian</au><au>Hacker, Marcus</au><au>Haug, Alexander R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>[68Ga]Pentixafor-PET/MRI for the detection of Chemokine receptor 4 expression in atherosclerotic plaques</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>2018-04-01</date><risdate>2018</risdate><volume>45</volume><issue>4</issue><spage>558</spage><epage>566</epage><pages>558-566</pages><issn>1619-7070</issn><eissn>1619-7089</eissn><abstract>Purpose
The expression of chemokine receptor type 4 (CXCR4) was found co-localized with macrophages on the atherosclerotic vessel wall and participated in the initial emigration of leukocytes. Gallium-68 [
68
Ga]Pentixafor has recently been introduced for the imaging of atherosclerosis by targeting CXCR4. We sought to evaluate human atherosclerotic lesions using [
68
Ga]Pentixafor PET/MRI.
Methods
Thirty-eight oncology patients underwent [
68
Ga]Pentixafor PET/MR imaging at baseline. Maximum standardized uptake values (SUV
max
) were derived from hot lesions in seven arterial segments and target-to-blood ratios (TBR) were calculated. ANOVA post-hoc and paired t test were performed for statistical comparison, Spearman’s correlation coefficient between uptake ratios and cardiovascular risk factors were assessed. The reproducibility of [
68
Ga]Pentixafor PET/MRI was assessed in seven patients with a follow-up exanimation by Pearson’s regression and Bland–Altman plots analysis.
Results
Thirty-four of 38 patients showed 611 focal [
68
Ga]Pentixafor uptake that followed the contours of the large arteries. Both prevalence and mean TBR
max
were highest in the descending aorta. There were significantly higher TBR values found in men (1.9 ± 0.3) as compared to women (1.7 ± 0.2;
p
< 0.05). Patients with mean TBR
max
> 1.7 showed a significantly higher incidence of diabetes, hypertension hypercholesterolemia and history of cardiovascular disease than patients with mean TBR
max
≤ 1.7. [
68
Ga]Pentixafor uptake showed a good reproducibility (
r
= 0.6,
p
< 0.01), and there was no difference between the mean TBR
max
values of plaque lesions (TBR
baseline
1.8 ± 0.3 vs TBR
follow-up
1.8 ± 0.3) (
p
= 0.9).
Conclusion
Patients with high arterial uptake showed increased incidence of cardiovascular risk factors, suggesting a potential role of [
68
Ga]Pentixafor in characterization of atherosclerosis.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28932900</pmid><doi>10.1007/s00259-017-3831-0</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-4222-4083</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1619-7070 |
ispartof | European journal of nuclear medicine and molecular imaging, 2018-04, Vol.45 (4), p.558-566 |
issn | 1619-7070 1619-7089 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5829117 |
source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Aged Aorta Arteries Arteriosclerosis Atherosclerosis Cardiology Cardiovascular diseases Chemokines Coordination Complexes Correlation coefficient Correlation coefficients CXCR4 protein Diabetes mellitus Female Gallium Health risk assessment Health risks Humans Hypercholesterolemia Hypertension Imaging Incidence Lesions Leukocyte migration Leukocytes Macrophages Magnetic Resonance Imaging Male Mathematical analysis Medicine Medicine & Public Health Middle Aged Nuclear Medicine Oncology Original Original Article Orthopedics Patients Peptides, Cyclic Plaque, Atherosclerotic - diagnostic imaging Plaques Positron emission Positron-Emission Tomography Prospective Studies Protein expression Radiology Receptors, CXCR4 - metabolism Regression analysis Reproducibility Reproducibility of Results Retrospective Studies Risk analysis Risk factors Statistical analysis Tomography Variance analysis |
title | [68Ga]Pentixafor-PET/MRI for the detection of Chemokine receptor 4 expression in atherosclerotic plaques |
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