Coronary Plaque Characterization with T1-weighted MRI and Near-Infrared Spectroscopy to Predict Periprocedural Myocardial Injury
Purpose To clarify the predominant causative plaque constituent for periprocedural myocardial injury (PMI) following percutaneous coronary intervention: erythrocyte-derived materials, indicated by a high plaque-to-myocardium signal intensity ratio (PMR) at coronary atherosclerosis T1-weighted charac...
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| creator | Isodono, Koji Matsumoto, Hidenari Li, Debiao Slomka, Piotr J Dey, Damini Cadet, Sebastien Irie, Daisuke Higuchi, Satoshi Tanisawa, Hiroki Nakazawa, Motoki Komori, Yoshiaki Ohya, Hidefumi Kitamura, Ryoji Hondera, Tetsuichi Sato, Ikumi Lee, Hsu-Lei Christodoulou, Anthony G Xie, Yibin Shinke, Toshiro |
| description | Purpose To clarify the predominant causative plaque constituent for periprocedural myocardial injury (PMI) following percutaneous coronary intervention:
erythrocyte-derived materials, indicated by a high plaque-to-myocardium signal intensity ratio (PMR) at coronary atherosclerosis T1-weighted characterization (CATCH) MRI, or
lipids, represented by a high maximum 4-mm lipid core burden index (maxLCBI
) at near-infrared spectroscopy intravascular US (NIRS-IVUS). Materials and Methods This retrospective study included consecutive patients who underwent CATCH MRI before elective NIRS-IVUS-guided percutaneous coronary intervention at two facilities. PMI was defined as post-percutaneous coronary intervention troponin T values greater than five times the upper reference limit. Multivariable analysis was performed to identify predictors of PMI. Finally, the predictive capabilities of MRI, NIRS-IVUS, and their combination were compared. Results A total of 103 lesions from 103 patients (median age, 72 years [IQR, 64-78]; 78 male patients) were included. PMI occurred in 36 lesions. In multivariable analysis, PMR emerged as the strongest predictor (
= .001), whereas maxLCBI
was not a significant predictor (
= .07). When PMR was excluded from the analysis, maxLCBI
emerged as the sole independent predictor (
= .02). The combination of MRI and NIRS-IVUS yielded the largest area under the receiver operating curve (0.86 [95% CI: 0.64, 0.83]), surpassing that of NIRS-IVUS alone (0.75 [95% CI: 0.64, 0.83];
= .02) or MRI alone (0.80 [95% CI: 0.68, 0.88];
= .30). Conclusion Erythrocyte-derived materials in plaques, represented by a high PMR at CATCH MRI, were strongly associated with PMI independent of lipids. MRI may play a crucial role in predicting PMI by offering unique pathologic insights into plaques, distinct from those provided by NIRS.
Coronary Plaque, Periprocedural Myocardial Injury, MRI, Near-Infrared Spectroscopy Intravascular US
© RSNA, 2024. |
| doi_str_mv | 10.1148/ryct.230339 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11375432</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3093175701</sourcerecordid><originalsourceid>FETCH-LOGICAL-p197t-da4124cd4db8608dd73b6fb5301a12841d0f75b5c1601972f0679b0f15dd68b23</originalsourceid><addsrcrecordid>eNpVUMtOwzAQtBCIVoUTd-QjlxRvbOdxQqjiUamFisc5cmyHGqVxcBxQOPHpGPFQOe1odndmdxA6AjIFYNmpG6SfxpRQmu-gcZzQLEqA8t0tPEKHXfdMCImBMQ75PhrRHBhPKRujj5l1thFuwKtavPQaz9bCCem1M-_CG9vgN-PX-AGiN22e1l4rvLybY9EofKOFi-ZN5YQL7H2rpXe2k7YdsLd4FUgjPV4FpdZZqVXvRI2Xg5XCKRPgvHnu3XCA9ipRd_rwp07Q4-XFw-w6WtxezWfni6iFPPWREgxiJhVTZZaQTKmUlklVckpAQJwxUKRKecklJCQsxBVJ0rwkFXClkqyM6QSdfeu2fbnRSurGh3uK1plN-L6wwhT_O41ZF0_2tQCgKWf0S-HkR8HZkFTni43ppK5r0WjbdwUlOYWUpwTC6PG22Z_Lb-70E8HBiAY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3093175701</pqid></control><display><type>article</type><title>Coronary Plaque Characterization with T1-weighted MRI and Near-Infrared Spectroscopy to Predict Periprocedural Myocardial Injury</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Isodono, Koji ; Matsumoto, Hidenari ; Li, Debiao ; Slomka, Piotr J ; Dey, Damini ; Cadet, Sebastien ; Irie, Daisuke ; Higuchi, Satoshi ; Tanisawa, Hiroki ; Nakazawa, Motoki ; Komori, Yoshiaki ; Ohya, Hidefumi ; Kitamura, Ryoji ; Hondera, Tetsuichi ; Sato, Ikumi ; Lee, Hsu-Lei ; Christodoulou, Anthony G ; Xie, Yibin ; Shinke, Toshiro</creator><creatorcontrib>Isodono, Koji ; Matsumoto, Hidenari ; Li, Debiao ; Slomka, Piotr J ; Dey, Damini ; Cadet, Sebastien ; Irie, Daisuke ; Higuchi, Satoshi ; Tanisawa, Hiroki ; Nakazawa, Motoki ; Komori, Yoshiaki ; Ohya, Hidefumi ; Kitamura, Ryoji ; Hondera, Tetsuichi ; Sato, Ikumi ; Lee, Hsu-Lei ; Christodoulou, Anthony G ; Xie, Yibin ; Shinke, Toshiro</creatorcontrib><description>Purpose To clarify the predominant causative plaque constituent for periprocedural myocardial injury (PMI) following percutaneous coronary intervention:
erythrocyte-derived materials, indicated by a high plaque-to-myocardium signal intensity ratio (PMR) at coronary atherosclerosis T1-weighted characterization (CATCH) MRI, or
lipids, represented by a high maximum 4-mm lipid core burden index (maxLCBI
) at near-infrared spectroscopy intravascular US (NIRS-IVUS). Materials and Methods This retrospective study included consecutive patients who underwent CATCH MRI before elective NIRS-IVUS-guided percutaneous coronary intervention at two facilities. PMI was defined as post-percutaneous coronary intervention troponin T values greater than five times the upper reference limit. Multivariable analysis was performed to identify predictors of PMI. Finally, the predictive capabilities of MRI, NIRS-IVUS, and their combination were compared. Results A total of 103 lesions from 103 patients (median age, 72 years [IQR, 64-78]; 78 male patients) were included. PMI occurred in 36 lesions. In multivariable analysis, PMR emerged as the strongest predictor (
= .001), whereas maxLCBI
was not a significant predictor (
= .07). When PMR was excluded from the analysis, maxLCBI
emerged as the sole independent predictor (
= .02). The combination of MRI and NIRS-IVUS yielded the largest area under the receiver operating curve (0.86 [95% CI: 0.64, 0.83]), surpassing that of NIRS-IVUS alone (0.75 [95% CI: 0.64, 0.83];
= .02) or MRI alone (0.80 [95% CI: 0.68, 0.88];
= .30). Conclusion Erythrocyte-derived materials in plaques, represented by a high PMR at CATCH MRI, were strongly associated with PMI independent of lipids. MRI may play a crucial role in predicting PMI by offering unique pathologic insights into plaques, distinct from those provided by NIRS.
Coronary Plaque, Periprocedural Myocardial Injury, MRI, Near-Infrared Spectroscopy Intravascular US
© RSNA, 2024.</description><identifier>ISSN: 2638-6135</identifier><identifier>EISSN: 2638-6135</identifier><identifier>DOI: 10.1148/ryct.230339</identifier><identifier>PMID: 39145734</identifier><language>eng</language><publisher>United States: Radiological Society of North America</publisher><subject>Aged ; Coronary Artery Disease - diagnostic imaging ; Coronary Vessels - diagnostic imaging ; Coronary Vessels - pathology ; Female ; Heart Injuries - diagnostic imaging ; Heart Injuries - pathology ; Humans ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; Original Research ; Percutaneous Coronary Intervention ; Plaque, Atherosclerotic - diagnostic imaging ; Predictive Value of Tests ; Retrospective Studies ; Spectroscopy, Near-Infrared - methods ; Ultrasonography, Interventional - methods</subject><ispartof>Radiology. Cardiothoracic imaging, 2024-08, Vol.6 (4), p.e230339</ispartof><rights>2024 by the Radiological Society of North America, Inc. 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-8841-1765 ; 0000-0002-6528-4118 ; 0000-0003-4635-7665 ; 0000-0002-9567-6438 ; 0000-0002-5043-4304 ; 0000-0001-8560-8231 ; 0009-0007-4902-0255 ; 0000-0002-0333-567X ; 0000-0003-2236-6970 ; 0000-0002-5889-8162 ; 0000-0002-7914-8256 ; 0000-0001-5509-5199 ; 0009-0006-9081-9280 ; 0000-0002-6110-938X ; 0000-0002-9334-8684 ; 0000-0001-7349-7538 ; 0000-0002-1417-121X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375432/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375432/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39145734$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Isodono, Koji</creatorcontrib><creatorcontrib>Matsumoto, Hidenari</creatorcontrib><creatorcontrib>Li, Debiao</creatorcontrib><creatorcontrib>Slomka, Piotr J</creatorcontrib><creatorcontrib>Dey, Damini</creatorcontrib><creatorcontrib>Cadet, Sebastien</creatorcontrib><creatorcontrib>Irie, Daisuke</creatorcontrib><creatorcontrib>Higuchi, Satoshi</creatorcontrib><creatorcontrib>Tanisawa, Hiroki</creatorcontrib><creatorcontrib>Nakazawa, Motoki</creatorcontrib><creatorcontrib>Komori, Yoshiaki</creatorcontrib><creatorcontrib>Ohya, Hidefumi</creatorcontrib><creatorcontrib>Kitamura, Ryoji</creatorcontrib><creatorcontrib>Hondera, Tetsuichi</creatorcontrib><creatorcontrib>Sato, Ikumi</creatorcontrib><creatorcontrib>Lee, Hsu-Lei</creatorcontrib><creatorcontrib>Christodoulou, Anthony G</creatorcontrib><creatorcontrib>Xie, Yibin</creatorcontrib><creatorcontrib>Shinke, Toshiro</creatorcontrib><title>Coronary Plaque Characterization with T1-weighted MRI and Near-Infrared Spectroscopy to Predict Periprocedural Myocardial Injury</title><title>Radiology. Cardiothoracic imaging</title><addtitle>Radiol Cardiothorac Imaging</addtitle><description>Purpose To clarify the predominant causative plaque constituent for periprocedural myocardial injury (PMI) following percutaneous coronary intervention:
erythrocyte-derived materials, indicated by a high plaque-to-myocardium signal intensity ratio (PMR) at coronary atherosclerosis T1-weighted characterization (CATCH) MRI, or
lipids, represented by a high maximum 4-mm lipid core burden index (maxLCBI
) at near-infrared spectroscopy intravascular US (NIRS-IVUS). Materials and Methods This retrospective study included consecutive patients who underwent CATCH MRI before elective NIRS-IVUS-guided percutaneous coronary intervention at two facilities. PMI was defined as post-percutaneous coronary intervention troponin T values greater than five times the upper reference limit. Multivariable analysis was performed to identify predictors of PMI. Finally, the predictive capabilities of MRI, NIRS-IVUS, and their combination were compared. Results A total of 103 lesions from 103 patients (median age, 72 years [IQR, 64-78]; 78 male patients) were included. PMI occurred in 36 lesions. In multivariable analysis, PMR emerged as the strongest predictor (
= .001), whereas maxLCBI
was not a significant predictor (
= .07). When PMR was excluded from the analysis, maxLCBI
emerged as the sole independent predictor (
= .02). The combination of MRI and NIRS-IVUS yielded the largest area under the receiver operating curve (0.86 [95% CI: 0.64, 0.83]), surpassing that of NIRS-IVUS alone (0.75 [95% CI: 0.64, 0.83];
= .02) or MRI alone (0.80 [95% CI: 0.68, 0.88];
= .30). Conclusion Erythrocyte-derived materials in plaques, represented by a high PMR at CATCH MRI, were strongly associated with PMI independent of lipids. MRI may play a crucial role in predicting PMI by offering unique pathologic insights into plaques, distinct from those provided by NIRS.
Coronary Plaque, Periprocedural Myocardial Injury, MRI, Near-Infrared Spectroscopy Intravascular US
© RSNA, 2024.</description><subject>Aged</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary Vessels - diagnostic imaging</subject><subject>Coronary Vessels - pathology</subject><subject>Female</subject><subject>Heart Injuries - diagnostic imaging</subject><subject>Heart Injuries - pathology</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Original Research</subject><subject>Percutaneous Coronary Intervention</subject><subject>Plaque, Atherosclerotic - diagnostic imaging</subject><subject>Predictive Value of Tests</subject><subject>Retrospective Studies</subject><subject>Spectroscopy, Near-Infrared - methods</subject><subject>Ultrasonography, Interventional - methods</subject><issn>2638-6135</issn><issn>2638-6135</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUMtOwzAQtBCIVoUTd-QjlxRvbOdxQqjiUamFisc5cmyHGqVxcBxQOPHpGPFQOe1odndmdxA6AjIFYNmpG6SfxpRQmu-gcZzQLEqA8t0tPEKHXfdMCImBMQ75PhrRHBhPKRujj5l1thFuwKtavPQaz9bCCem1M-_CG9vgN-PX-AGiN22e1l4rvLybY9EofKOFi-ZN5YQL7H2rpXe2k7YdsLd4FUgjPV4FpdZZqVXvRI2Xg5XCKRPgvHnu3XCA9ipRd_rwp07Q4-XFw-w6WtxezWfni6iFPPWREgxiJhVTZZaQTKmUlklVckpAQJwxUKRKecklJCQsxBVJ0rwkFXClkqyM6QSdfeu2fbnRSurGh3uK1plN-L6wwhT_O41ZF0_2tQCgKWf0S-HkR8HZkFTni43ppK5r0WjbdwUlOYWUpwTC6PG22Z_Lb-70E8HBiAY</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Isodono, Koji</creator><creator>Matsumoto, Hidenari</creator><creator>Li, Debiao</creator><creator>Slomka, Piotr J</creator><creator>Dey, Damini</creator><creator>Cadet, Sebastien</creator><creator>Irie, Daisuke</creator><creator>Higuchi, Satoshi</creator><creator>Tanisawa, Hiroki</creator><creator>Nakazawa, Motoki</creator><creator>Komori, Yoshiaki</creator><creator>Ohya, Hidefumi</creator><creator>Kitamura, Ryoji</creator><creator>Hondera, Tetsuichi</creator><creator>Sato, Ikumi</creator><creator>Lee, Hsu-Lei</creator><creator>Christodoulou, Anthony G</creator><creator>Xie, Yibin</creator><creator>Shinke, Toshiro</creator><general>Radiological Society of North America</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8841-1765</orcidid><orcidid>https://orcid.org/0000-0002-6528-4118</orcidid><orcidid>https://orcid.org/0000-0003-4635-7665</orcidid><orcidid>https://orcid.org/0000-0002-9567-6438</orcidid><orcidid>https://orcid.org/0000-0002-5043-4304</orcidid><orcidid>https://orcid.org/0000-0001-8560-8231</orcidid><orcidid>https://orcid.org/0009-0007-4902-0255</orcidid><orcidid>https://orcid.org/0000-0002-0333-567X</orcidid><orcidid>https://orcid.org/0000-0003-2236-6970</orcidid><orcidid>https://orcid.org/0000-0002-5889-8162</orcidid><orcidid>https://orcid.org/0000-0002-7914-8256</orcidid><orcidid>https://orcid.org/0000-0001-5509-5199</orcidid><orcidid>https://orcid.org/0009-0006-9081-9280</orcidid><orcidid>https://orcid.org/0000-0002-6110-938X</orcidid><orcidid>https://orcid.org/0000-0002-9334-8684</orcidid><orcidid>https://orcid.org/0000-0001-7349-7538</orcidid><orcidid>https://orcid.org/0000-0002-1417-121X</orcidid></search><sort><creationdate>20240801</creationdate><title>Coronary Plaque Characterization with T1-weighted MRI and Near-Infrared Spectroscopy to Predict Periprocedural Myocardial Injury</title><author>Isodono, Koji ; Matsumoto, Hidenari ; Li, Debiao ; Slomka, Piotr J ; Dey, Damini ; Cadet, Sebastien ; Irie, Daisuke ; Higuchi, Satoshi ; Tanisawa, Hiroki ; Nakazawa, Motoki ; Komori, Yoshiaki ; Ohya, Hidefumi ; Kitamura, Ryoji ; Hondera, Tetsuichi ; Sato, Ikumi ; Lee, Hsu-Lei ; Christodoulou, Anthony G ; Xie, Yibin ; Shinke, Toshiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p197t-da4124cd4db8608dd73b6fb5301a12841d0f75b5c1601972f0679b0f15dd68b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary Vessels - diagnostic imaging</topic><topic>Coronary Vessels - pathology</topic><topic>Female</topic><topic>Heart Injuries - diagnostic imaging</topic><topic>Heart Injuries - pathology</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Original Research</topic><topic>Percutaneous Coronary Intervention</topic><topic>Plaque, Atherosclerotic - diagnostic imaging</topic><topic>Predictive Value of Tests</topic><topic>Retrospective Studies</topic><topic>Spectroscopy, Near-Infrared - methods</topic><topic>Ultrasonography, Interventional - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Isodono, Koji</creatorcontrib><creatorcontrib>Matsumoto, Hidenari</creatorcontrib><creatorcontrib>Li, Debiao</creatorcontrib><creatorcontrib>Slomka, Piotr J</creatorcontrib><creatorcontrib>Dey, Damini</creatorcontrib><creatorcontrib>Cadet, Sebastien</creatorcontrib><creatorcontrib>Irie, Daisuke</creatorcontrib><creatorcontrib>Higuchi, Satoshi</creatorcontrib><creatorcontrib>Tanisawa, Hiroki</creatorcontrib><creatorcontrib>Nakazawa, Motoki</creatorcontrib><creatorcontrib>Komori, Yoshiaki</creatorcontrib><creatorcontrib>Ohya, Hidefumi</creatorcontrib><creatorcontrib>Kitamura, Ryoji</creatorcontrib><creatorcontrib>Hondera, Tetsuichi</creatorcontrib><creatorcontrib>Sato, Ikumi</creatorcontrib><creatorcontrib>Lee, Hsu-Lei</creatorcontrib><creatorcontrib>Christodoulou, Anthony G</creatorcontrib><creatorcontrib>Xie, Yibin</creatorcontrib><creatorcontrib>Shinke, Toshiro</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Radiology. Cardiothoracic imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Isodono, Koji</au><au>Matsumoto, Hidenari</au><au>Li, Debiao</au><au>Slomka, Piotr J</au><au>Dey, Damini</au><au>Cadet, Sebastien</au><au>Irie, Daisuke</au><au>Higuchi, Satoshi</au><au>Tanisawa, Hiroki</au><au>Nakazawa, Motoki</au><au>Komori, Yoshiaki</au><au>Ohya, Hidefumi</au><au>Kitamura, Ryoji</au><au>Hondera, Tetsuichi</au><au>Sato, Ikumi</au><au>Lee, Hsu-Lei</au><au>Christodoulou, Anthony G</au><au>Xie, Yibin</au><au>Shinke, Toshiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coronary Plaque Characterization with T1-weighted MRI and Near-Infrared Spectroscopy to Predict Periprocedural Myocardial Injury</atitle><jtitle>Radiology. Cardiothoracic imaging</jtitle><addtitle>Radiol Cardiothorac Imaging</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>6</volume><issue>4</issue><spage>e230339</spage><pages>e230339-</pages><issn>2638-6135</issn><eissn>2638-6135</eissn><abstract>Purpose To clarify the predominant causative plaque constituent for periprocedural myocardial injury (PMI) following percutaneous coronary intervention:
erythrocyte-derived materials, indicated by a high plaque-to-myocardium signal intensity ratio (PMR) at coronary atherosclerosis T1-weighted characterization (CATCH) MRI, or
lipids, represented by a high maximum 4-mm lipid core burden index (maxLCBI
) at near-infrared spectroscopy intravascular US (NIRS-IVUS). Materials and Methods This retrospective study included consecutive patients who underwent CATCH MRI before elective NIRS-IVUS-guided percutaneous coronary intervention at two facilities. PMI was defined as post-percutaneous coronary intervention troponin T values greater than five times the upper reference limit. Multivariable analysis was performed to identify predictors of PMI. Finally, the predictive capabilities of MRI, NIRS-IVUS, and their combination were compared. Results A total of 103 lesions from 103 patients (median age, 72 years [IQR, 64-78]; 78 male patients) were included. PMI occurred in 36 lesions. In multivariable analysis, PMR emerged as the strongest predictor (
= .001), whereas maxLCBI
was not a significant predictor (
= .07). When PMR was excluded from the analysis, maxLCBI
emerged as the sole independent predictor (
= .02). The combination of MRI and NIRS-IVUS yielded the largest area under the receiver operating curve (0.86 [95% CI: 0.64, 0.83]), surpassing that of NIRS-IVUS alone (0.75 [95% CI: 0.64, 0.83];
= .02) or MRI alone (0.80 [95% CI: 0.68, 0.88];
= .30). Conclusion Erythrocyte-derived materials in plaques, represented by a high PMR at CATCH MRI, were strongly associated with PMI independent of lipids. MRI may play a crucial role in predicting PMI by offering unique pathologic insights into plaques, distinct from those provided by NIRS.
Coronary Plaque, Periprocedural Myocardial Injury, MRI, Near-Infrared Spectroscopy Intravascular US
© RSNA, 2024.</abstract><cop>United States</cop><pub>Radiological Society of North America</pub><pmid>39145734</pmid><doi>10.1148/ryct.230339</doi><orcidid>https://orcid.org/0000-0002-8841-1765</orcidid><orcidid>https://orcid.org/0000-0002-6528-4118</orcidid><orcidid>https://orcid.org/0000-0003-4635-7665</orcidid><orcidid>https://orcid.org/0000-0002-9567-6438</orcidid><orcidid>https://orcid.org/0000-0002-5043-4304</orcidid><orcidid>https://orcid.org/0000-0001-8560-8231</orcidid><orcidid>https://orcid.org/0009-0007-4902-0255</orcidid><orcidid>https://orcid.org/0000-0002-0333-567X</orcidid><orcidid>https://orcid.org/0000-0003-2236-6970</orcidid><orcidid>https://orcid.org/0000-0002-5889-8162</orcidid><orcidid>https://orcid.org/0000-0002-7914-8256</orcidid><orcidid>https://orcid.org/0000-0001-5509-5199</orcidid><orcidid>https://orcid.org/0009-0006-9081-9280</orcidid><orcidid>https://orcid.org/0000-0002-6110-938X</orcidid><orcidid>https://orcid.org/0000-0002-9334-8684</orcidid><orcidid>https://orcid.org/0000-0001-7349-7538</orcidid><orcidid>https://orcid.org/0000-0002-1417-121X</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2638-6135 |
| ispartof | Radiology. Cardiothoracic imaging, 2024-08, Vol.6 (4), p.e230339 |
| issn | 2638-6135 2638-6135 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11375432 |
| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Aged Coronary Artery Disease - diagnostic imaging Coronary Vessels - diagnostic imaging Coronary Vessels - pathology Female Heart Injuries - diagnostic imaging Heart Injuries - pathology Humans Magnetic Resonance Imaging - methods Male Middle Aged Original Research Percutaneous Coronary Intervention Plaque, Atherosclerotic - diagnostic imaging Predictive Value of Tests Retrospective Studies Spectroscopy, Near-Infrared - methods Ultrasonography, Interventional - methods |
| title | Coronary Plaque Characterization with T1-weighted MRI and Near-Infrared Spectroscopy to Predict Periprocedural Myocardial Injury |
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