Pub Date : 2024-09-27DOI: 10.1161/CIRCIMAGING.124.017009
Maria Jose Santa Ana-Bayona, Pavel Martinez-Dominguez, Oscar Perez-Orpinel, Enrique C Guerra, Nilda Espinola-Zavaleta
{"title":"Beyond the Usual Suspects: Myocardial Infarction Triggered by Coronary Vasculitis in a Young Patient With Systemic Lupus Erythematosus.","authors":"Maria Jose Santa Ana-Bayona, Pavel Martinez-Dominguez, Oscar Perez-Orpinel, Enrique C Guerra, Nilda Espinola-Zavaleta","doi":"10.1161/CIRCIMAGING.124.017009","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017009","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017009"},"PeriodicalIF":6.5,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142342711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-17DOI: 10.1161/circimaging.124.017376
Andrei C Sposito
{"title":"Accelerated Pace of Atherosclerosis in Steatotic Liver Disease: Implications for Risk Stratification.","authors":"Andrei C Sposito","doi":"10.1161/circimaging.124.017376","DOIUrl":"https://doi.org/10.1161/circimaging.124.017376","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"33 1","pages":"e017376"},"PeriodicalIF":7.5,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-17DOI: 10.1161/hci.0000000000000084
{"title":"Correction to: Paolisso et al, \"Cardiac Magnetic Resonance to Predict Cardiac Mass Malignancy: The CMR Mass Score\".","authors":"","doi":"10.1161/hci.0000000000000084","DOIUrl":"https://doi.org/10.1161/hci.0000000000000084","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"317 1","pages":"e000084"},"PeriodicalIF":7.5,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-17DOI: 10.1161/circimaging.123.016465
Keishi Ichikawa,Jaewon Lim,Robyn L McClelland,Shriraj Susarla,Srikanth Krishnan,Travis Benzing,Sina Kianoush,Jairo Aldana-Bitar,Venkat S Manubolu,Matthew J Budoff
BACKGROUNDFor individuals with a coronary artery calcium (CAC) score of 0, CAC rescans at appropriate timings are recommended, depending on individual risk profiles. Although nonalcoholic fatty liver disease, recently redefined as metabolic-associated fatty liver disease, is a risk factor for atherosclerotic cardiovascular disease events, its relationship with the warranty period of a CAC score of 0 has not been elucidated.METHODSA total of 1944 subjects from the MESA (Multi-Ethnic Study of Atherosclerosis) with a baseline CAC score of 0, presence or absence of nonalcoholic hepatic steatosis, and at least 1 follow-up computed tomography scan were included. Nonalcoholic hepatic steatosis was defined using nonenhanced computed tomography and liver/spleen attenuation ratio <1. The association between nonalcoholic hepatic steatosis and new CAC incidence (CAC score >0) was evaluated using a Weibull survival model.RESULTSNonalcoholic hepatic steatosis was identified in 268 (14%) participants. Participants with nonalcoholic hepatic steatosis had higher CAC incidence than those without nonalcoholic hepatic steatosis. Nonalcoholic hepatic steatosis was independently associated with new CAC incidence after adjustment for atherosclerotic cardiovascular disease risk factors (hazard ratio, 1.28 [95% CI, 1.05-1.57]; P=0.015). Using a 25% testing yield (25% of participants with zero CAC at baseline would be expected to have developed a CAC score >0), the warranty period of a CAC score of 0 in participants with nonalcoholic hepatic steatosis was shorter than in those without nonalcoholic hepatic steatosis (4.7 and 6.3 years). This association was consistent regardless of sex, race/ethnicity, age, and 10-year atherosclerotic cardiovascular disease risk.CONCLUSIONSNonalcoholic hepatic steatosis had an impact on the warranty period of a CAC score of 0. The study suggests that the time period until a CAC rescan should be shorter in those with nonalcoholic hepatic steatosis and a CAC score of 0.
{"title":"Impact of Nonalcoholic Hepatic Steatosis on the Warranty Period of a Coronary Artery Calcium Score of 0: Results From the Multi-Ethnic Study of Atherosclerosis.","authors":"Keishi Ichikawa,Jaewon Lim,Robyn L McClelland,Shriraj Susarla,Srikanth Krishnan,Travis Benzing,Sina Kianoush,Jairo Aldana-Bitar,Venkat S Manubolu,Matthew J Budoff","doi":"10.1161/circimaging.123.016465","DOIUrl":"https://doi.org/10.1161/circimaging.123.016465","url":null,"abstract":"BACKGROUNDFor individuals with a coronary artery calcium (CAC) score of 0, CAC rescans at appropriate timings are recommended, depending on individual risk profiles. Although nonalcoholic fatty liver disease, recently redefined as metabolic-associated fatty liver disease, is a risk factor for atherosclerotic cardiovascular disease events, its relationship with the warranty period of a CAC score of 0 has not been elucidated.METHODSA total of 1944 subjects from the MESA (Multi-Ethnic Study of Atherosclerosis) with a baseline CAC score of 0, presence or absence of nonalcoholic hepatic steatosis, and at least 1 follow-up computed tomography scan were included. Nonalcoholic hepatic steatosis was defined using nonenhanced computed tomography and liver/spleen attenuation ratio <1. The association between nonalcoholic hepatic steatosis and new CAC incidence (CAC score >0) was evaluated using a Weibull survival model.RESULTSNonalcoholic hepatic steatosis was identified in 268 (14%) participants. Participants with nonalcoholic hepatic steatosis had higher CAC incidence than those without nonalcoholic hepatic steatosis. Nonalcoholic hepatic steatosis was independently associated with new CAC incidence after adjustment for atherosclerotic cardiovascular disease risk factors (hazard ratio, 1.28 [95% CI, 1.05-1.57]; P=0.015). Using a 25% testing yield (25% of participants with zero CAC at baseline would be expected to have developed a CAC score >0), the warranty period of a CAC score of 0 in participants with nonalcoholic hepatic steatosis was shorter than in those without nonalcoholic hepatic steatosis (4.7 and 6.3 years). This association was consistent regardless of sex, race/ethnicity, age, and 10-year atherosclerotic cardiovascular disease risk.CONCLUSIONSNonalcoholic hepatic steatosis had an impact on the warranty period of a CAC score of 0. The study suggests that the time period until a CAC rescan should be shorter in those with nonalcoholic hepatic steatosis and a CAC score of 0.","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"9 1","pages":"e016465"},"PeriodicalIF":7.5,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-13DOI: 10.1161/circimaging.124.017375
Michael D Shapiro
{"title":"Between the Extremes: The Impact of Lipid Variability on Cardiovascular Risk.","authors":"Michael D Shapiro","doi":"10.1161/circimaging.124.017375","DOIUrl":"https://doi.org/10.1161/circimaging.124.017375","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"14 1","pages":"e017375"},"PeriodicalIF":7.5,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUNDIntraindividual variability in lipid profiles is recognized as a potential predictor of cardiovascular events. However, the influence of early adulthood lipid profile variability along with mean lipid levels on future coronary artery calcium (CAC) incidence remains unclear.METHODSA total of 2395 participants (41.6% men; mean±SD age, 40.2±3.6 years) with initial CAC =0 from the CARDIA study (Coronary Artery Risk Development in Young Adults) were included. Serial lipid measurements were obtained to calculate mean levels and variability of total cholesterol, low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides. CAC incidence was defined as CAC >0 at follow-up.RESULTSDuring a mean follow-up of 9.0 years, 534 individuals (22.3%) exhibited CAC incidence. Higher mean levels of total cholesterol, LDL-C, and non-HDL-C were associated with a greater risk of future CAC incidence. Similarly, 1-SD increment of lipid variability, as assessed by variability independent of the mean, was associated with an increased risk of CAC incidence (LDL-C: hazard ratio, 1.139 [95% CI, 1.048-1.238]; P=0.002; non-HDL-C: hazard ratio, 1.102 [95% CI, 1.014-1.198]; P=0.022; and triglycerides: hazard ratio, 1.480 [95% CI, 1.384-1.582]; P<0.001). Combination analyses demonstrated that participants with both high lipid levels and high variability in lipid profiles (LDL-C and non-HDL-C) faced the greatest risk of CAC incidence. Specifically, elevated variability of LDL-C was associated with an additional risk of CAC incidence even in low mean levels of LDL-C (hazard ratio, 1.396 [95% CI, 1.106-1.763]; P=0.005). These findings remained robust across a series of sensitivity and subgroup analyses.CONCLUSIONSElevated variability in LDL-C and non-HDL-C during young adulthood was associated with an increased risk of CAC incidence in midlife, especially among those with high mean levels of atherogenic lipoproteins. These findings highlight the importance of maintaining consistently low levels of atherogenic lipids throughout early adulthood to reduce subclinical atherosclerosis in midlife.REGISTRATIONURL: https://www.clinicaltrials.gov; Unique identifier: NCT00005130.
{"title":"Variability in Lipid Profiles During Young Adulthood and the Risk of Coronary Artery Calcium Incidence in Midlife: Insights From the CARDIA Study.","authors":"Jing-Wei Gao,Qing-Yun Hao,Ying Lin,Ze-Hua Li,Ze-Gui Huang,Zhi-Qiang Bai,Hai-Feng Zhang,Yu-Biao Wu,Zhuo-Chao Xiong,Si You,Jing-Feng Wang,Shao-Ling Zhang,Pin-Ming Liu","doi":"10.1161/circimaging.123.016842","DOIUrl":"https://doi.org/10.1161/circimaging.123.016842","url":null,"abstract":"BACKGROUNDIntraindividual variability in lipid profiles is recognized as a potential predictor of cardiovascular events. However, the influence of early adulthood lipid profile variability along with mean lipid levels on future coronary artery calcium (CAC) incidence remains unclear.METHODSA total of 2395 participants (41.6% men; mean±SD age, 40.2±3.6 years) with initial CAC =0 from the CARDIA study (Coronary Artery Risk Development in Young Adults) were included. Serial lipid measurements were obtained to calculate mean levels and variability of total cholesterol, low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides. CAC incidence was defined as CAC >0 at follow-up.RESULTSDuring a mean follow-up of 9.0 years, 534 individuals (22.3%) exhibited CAC incidence. Higher mean levels of total cholesterol, LDL-C, and non-HDL-C were associated with a greater risk of future CAC incidence. Similarly, 1-SD increment of lipid variability, as assessed by variability independent of the mean, was associated with an increased risk of CAC incidence (LDL-C: hazard ratio, 1.139 [95% CI, 1.048-1.238]; P=0.002; non-HDL-C: hazard ratio, 1.102 [95% CI, 1.014-1.198]; P=0.022; and triglycerides: hazard ratio, 1.480 [95% CI, 1.384-1.582]; P<0.001). Combination analyses demonstrated that participants with both high lipid levels and high variability in lipid profiles (LDL-C and non-HDL-C) faced the greatest risk of CAC incidence. Specifically, elevated variability of LDL-C was associated with an additional risk of CAC incidence even in low mean levels of LDL-C (hazard ratio, 1.396 [95% CI, 1.106-1.763]; P=0.005). These findings remained robust across a series of sensitivity and subgroup analyses.CONCLUSIONSElevated variability in LDL-C and non-HDL-C during young adulthood was associated with an increased risk of CAC incidence in midlife, especially among those with high mean levels of atherogenic lipoproteins. These findings highlight the importance of maintaining consistently low levels of atherogenic lipids throughout early adulthood to reduce subclinical atherosclerosis in midlife.REGISTRATIONURL: https://www.clinicaltrials.gov; Unique identifier: NCT00005130.","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"94 1","pages":"e016842"},"PeriodicalIF":7.5,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1161/circimaging.124.017360
Wai Yan Ryana Fok,Qiang Zhang
{"title":"Generative AI Virtual Contrast for Cardiovascular Magnetic Resonance: A Pathway to Needle-Free and Fast Imaging of Myocardial Infarction?","authors":"Wai Yan Ryana Fok,Qiang Zhang","doi":"10.1161/circimaging.124.017360","DOIUrl":"https://doi.org/10.1161/circimaging.124.017360","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"7 1","pages":"e017360"},"PeriodicalIF":7.5,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142218233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1161/circimaging.124.017361
James P Howard,Hoi Ching Cheung
{"title":"From Gadolinium to Generative AI: The Quest for Contrast-Free Cardiac Imaging.","authors":"James P Howard,Hoi Ching Cheung","doi":"10.1161/circimaging.124.017361","DOIUrl":"https://doi.org/10.1161/circimaging.124.017361","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"62 1","pages":"e017361"},"PeriodicalIF":7.5,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUNDLate gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) is a standard technique for diagnosing myocardial infarction (MI), which, however, poses risks due to gadolinium contrast usage. Techniques enabling MI assessment based on contrast-free CMR are desirable to overcome the limitations associated with contrast enhancement.METHODSWe introduce a novel deep generative learning method, termed cine-generated enhancement (CGE), which transforms standard contrast-free cine CMR into LGE-equivalent images for MI assessment. CGE features with multislice spatiotemporal feature extractor, enhancement contrast modulation, and sophisticated loss function. Data from 430 patients with acute MI from 3 centers were collected. After image quality control, 1525 pairs (289 patients) of center I were used for training, and 293 slices (52 patients) of the same center were reserved for internal testing. The 40 patients (401 slices) of the other 2 centers were used for external testing. The CGE robustness was further tested in 20 normal subjects in a public cine CMR data set. CGE images were compared with LGE for image quality assessment and MI quantification regarding scar size and transmurality.RESULTSThe CGE method produced images of superior quality to LGE in both internal and external data sets. There was a significant (P<0.001) correlation between CGE and LGE measurements of scar size (Pearson correlation, 0.79/0.80; intraclass correlation coefficient, 0.79/0.77) and transmurality (Pearson correlation, 0.76/0.64; intraclass correlation coefficient, 0.76/0.63) in internal/external data set. Considering all data sets, CGE demonstrated high sensitivity (91.27%) and specificity (95.83%) in detecting scars. Realistic enhancement images were obtained for the normal subjects in the public data set without false positive subjects.CONCLUSIONSCGE achieved superior image quality to LGE and accurate scar delineation in patients with acute MI of both internal and external data sets. CGE can significantly simplify the CMR examination, reducing scan times and risks associated with gadolinium-based contrasts, which are crucial for acute patients.
{"title":"Predicting Late Gadolinium Enhancement of Acute Myocardial Infarction in Contrast-Free Cardiac Cine MRI Using Deep Generative Learning.","authors":"Haikun Qi,Pengfang Qian,Langlang Tang,Binghua Chen,Dongaolei An,Lian-Ming Wu","doi":"10.1161/circimaging.124.016786","DOIUrl":"https://doi.org/10.1161/circimaging.124.016786","url":null,"abstract":"BACKGROUNDLate gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) is a standard technique for diagnosing myocardial infarction (MI), which, however, poses risks due to gadolinium contrast usage. Techniques enabling MI assessment based on contrast-free CMR are desirable to overcome the limitations associated with contrast enhancement.METHODSWe introduce a novel deep generative learning method, termed cine-generated enhancement (CGE), which transforms standard contrast-free cine CMR into LGE-equivalent images for MI assessment. CGE features with multislice spatiotemporal feature extractor, enhancement contrast modulation, and sophisticated loss function. Data from 430 patients with acute MI from 3 centers were collected. After image quality control, 1525 pairs (289 patients) of center I were used for training, and 293 slices (52 patients) of the same center were reserved for internal testing. The 40 patients (401 slices) of the other 2 centers were used for external testing. The CGE robustness was further tested in 20 normal subjects in a public cine CMR data set. CGE images were compared with LGE for image quality assessment and MI quantification regarding scar size and transmurality.RESULTSThe CGE method produced images of superior quality to LGE in both internal and external data sets. There was a significant (P<0.001) correlation between CGE and LGE measurements of scar size (Pearson correlation, 0.79/0.80; intraclass correlation coefficient, 0.79/0.77) and transmurality (Pearson correlation, 0.76/0.64; intraclass correlation coefficient, 0.76/0.63) in internal/external data set. Considering all data sets, CGE demonstrated high sensitivity (91.27%) and specificity (95.83%) in detecting scars. Realistic enhancement images were obtained for the normal subjects in the public data set without false positive subjects.CONCLUSIONSCGE achieved superior image quality to LGE and accurate scar delineation in patients with acute MI of both internal and external data sets. CGE can significantly simplify the CMR examination, reducing scan times and risks associated with gadolinium-based contrasts, which are crucial for acute patients.","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"308 1","pages":"e016786"},"PeriodicalIF":7.5,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142218264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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