{"title":"Simple Ratio to Link Atrial and Ventricular Functional Mitral Regurgitation: Is it Useful?","authors":"Muhammad Shahzeb Khan, Paul A Grayburn","doi":"10.1161/CIRCIMAGING.125.018602","DOIUrl":"10.1161/CIRCIMAGING.125.018602","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e018602"},"PeriodicalIF":6.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332535","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}
Keyan Wang, Haiyu Li, Yong Zhang, Jie Zheng, Jingliang Cheng
{"title":"Heterogeneity of Myocardial Fibrosis Found in Twins With the MYBPC3 Variant Manifesting as Hypertrophic Cardiomyopathy.","authors":"Keyan Wang, Haiyu Li, Yong Zhang, Jie Zheng, Jingliang Cheng","doi":"10.1161/CIRCIMAGING.124.017837","DOIUrl":"10.1161/CIRCIMAGING.124.017837","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017837"},"PeriodicalIF":6.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143536660","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}
{"title":"Letter by Manuel Regarding Article, \"Progressive LV Dysfunction and Adverse Outcomes After Aortic Valve Replacement With Bioprosthetic Valves in Young Patients\".","authors":"Valdano Manuel","doi":"10.1161/CIRCIMAGING.125.018428","DOIUrl":"10.1161/CIRCIMAGING.125.018428","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e018428"},"PeriodicalIF":6.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179863","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}
Guillaume Goudot, Shady Abohashem, Michael T Osborne, Wesam Aldosoky, Taha Z Ahmad, Michael T Lu, Borek Foldyna, Ahmed Tawakol
{"title":"Periaortic Fat Attenuation on Nongated Noncontrast Chest CT Images to Assess Changes in Arterial Inflammation: Impact of Atorvastatin.","authors":"Guillaume Goudot, Shady Abohashem, Michael T Osborne, Wesam Aldosoky, Taha Z Ahmad, Michael T Lu, Borek Foldyna, Ahmed Tawakol","doi":"10.1161/CIRCIMAGING.124.017248","DOIUrl":"10.1161/CIRCIMAGING.124.017248","url":null,"abstract":"<p><strong>Background: </strong>Imaging markers of atherosclerotic inflammation are needed to enhance cardiovascular risk assessment and evaluate the impact of therapies. We sought to test the hypothesis that treatments impacting arterial inflammation can be evaluated using a simplified measure of periaortic fat attenuation (FA) assessed on noncontrast, nongated computed tomography of the descending thoracic aorta.</p><p><strong>Methods: </strong>Measurements were performed on <sup>18</sup>F-fluorodeoxyglucose positron emission tomography/computed tomography images from a double-blind, randomized trial conducted between 2008 and 2009 that assessed the impact of statin therapy on arterial inflammation. Periaortic adipose tissue quantification was performed on the chest computed tomography images over a 10 cm portion of the descending aorta. FA was determined as the mean attenuation of the entire volume of delineated periaortic fat. Arterial inflammation (aorta) and leukopoietic activity (bone marrow and spleen) were assessed by measuring standardized uptake values on <sup>18</sup>F-fluorodeoxyglucose positron emission tomography images. Baseline relationships and changes from baseline to 12 weeks were assessed. All models evaluating FA were adjusted for baseline kilovoltage peak.</p><p><strong>Results: </strong>Sixty subjects (79.9% men, mean age 60±8.9 years) with risk factors or established atherosclerosis (32 randomized to atorvastatin 10 mg, 28 randomized to atorvastatin 80 mg) were studied. On average, it took 88±17 seconds to assess FA per subject. At baseline, FA correlated with leukopoietic activity (<i>r</i>=0.412; <i>P</i>=0.021 and <i>r</i>=0.442; <i>P</i>=0.013, for bone marrow and spleen, respectively). Furthermore, FA correlated with aortic inflammation assessed on <sup>18</sup>F-fluorodeoxyglucose positron emission tomography as quintiles (<i>r</i>=0.274; <i>P</i>=0.043). Moreover, high dose (versus low dose) atorvastatin was associated with a significant reduction in FA after 12 weeks (standardized β=-0.603; <i>P</i>=0.010) after adjustment for baseline FA, kilovoltage peak, and prior statin use.</p><p><strong>Conclusions: </strong>Periaortic FA is a marker of atherosclerotic inflammation that can be easily measured on nongated, nonenhanced chest computed tomography images and be used to provide insights into the impact of therapies on atherosclerotic inflammation.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017248"},"PeriodicalIF":6.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263313/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144062622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Steal Phenomenon of Thoracic False Lumen: Imaging Insights From Postdissection Cases.","authors":"Yangyang Ge, Hongpeng Zhang, Yeqing Qi, Wei Guo","doi":"10.1161/CIRCIMAGING.125.018220","DOIUrl":"10.1161/CIRCIMAGING.125.018220","url":null,"abstract":"<p><p>Persistent thoracic false lumen flow and subsequent aortic expansion are common complications following thoracic endovascular aortic repair for type B aortic dissection, as well as aortic arch replacement with the elephant trunk technique for type A aortic dissection. Although thoracic false lumen-perfused branches are known to contribute to thoracic false lumen backflow, robust imaging evidence is still lacking. This review illustrates how these branches perpetuate thoracic false lumen flow through detailed imaging analysis, emphasizing the critical need for advancing rapid, accurate, and minimally invasive imaging techniques and novel therapeutic devices to address this persistent clinical challenge.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e018220"},"PeriodicalIF":6.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144180919","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}
Sophia Koschatko, Gregor Heitzinger, Noemi Pavo, Georg Spinka, Suriya Prausmüller, Katharina Mascherbauer, Varius Dannenberg, Christoph Torrefranca, Matthias Koschutnik, Carolina Donà, Raphael Rosenhek, Charlotte Jantsch, Kseniya Halavina, Laurenz Hauptmann, Rayyan Hemetsberger, Christian Nitsche, Caglayan Demirel, Christian Hengstenberg, Martin Hülsmann, Georg Goliasch, Philipp E Bartko
{"title":"Left Atrial to Left Ventricular Volume Ratio in Patients With Severe Functional Mitral Regurgitation.","authors":"Sophia Koschatko, Gregor Heitzinger, Noemi Pavo, Georg Spinka, Suriya Prausmüller, Katharina Mascherbauer, Varius Dannenberg, Christoph Torrefranca, Matthias Koschutnik, Carolina Donà, Raphael Rosenhek, Charlotte Jantsch, Kseniya Halavina, Laurenz Hauptmann, Rayyan Hemetsberger, Christian Nitsche, Caglayan Demirel, Christian Hengstenberg, Martin Hülsmann, Georg Goliasch, Philipp E Bartko","doi":"10.1161/CIRCIMAGING.124.017872","DOIUrl":"10.1161/CIRCIMAGING.124.017872","url":null,"abstract":"<p><strong>Background: </strong>Severe functional mitral regurgitation (fMR) is a heterogenous disease that exhibits different underlying pathophysiological mechanisms and represents independent entities. The aim of this study was to characterize remodeling patterns defined by the left atrial (LA) to left ventricular (LV) volume ratio in patients with severe fMR and heart failure, and to examine its prognostic implications.</p><p><strong>Methods: </strong>A total of 13 052 patients with fMR were included. Based on the LA/LV volume ratio, patients with severe fMR were divided into 2 distinct groups: predominant LV remodeling (PLVR [ratio ≤0.56, n=581]) and predominant LA remodeling (PLAR [ratio >0.56, n=582]).</p><p><strong>Results: </strong>Patients with PLAR were more often female, with the peak age a decade later. PLAR was associated with lower leaflet tethering indices, as indicated by the leaflet tenting area (PLVR versus PLAR: 227 mm<sup>2</sup> versus 181 mm<sup>2</sup>, <i>P</i><0.001) and angles (PLVR versus PLAR: posterior leaflet: 42° versus 36°, <i>P</i><0.001; anterior leaflet: 28° versus 23°, <i>P</i><0.001). PLAR was the predominant subtype in heart failure with preserved (76%) and heart failure with mildly reduced ejection fraction (61%), but a significant proportion could be observed in heart failure with reduced ejection fraction (32%). The median follow-up time for severe fMR was 66 months (interquartile range, 60-85). After 4 years, 42.1% with PLAR and 34.1% with PLVR had died. At 8 years, 57.3% of patients with PLAR, and 49.6% of patients with PLVR had died. Compared with PLVR, PLAR showed excess mortality, with a hazard ratio of 1.37 ([95% CI, 1.13-1.65]; <i>P</i>=0.001) in the univariate analysis. This effect remained after multivariable adjustment.</p><p><strong>Conclusions: </strong>The LA/LV volume ratio indicates the prevailing remodeling pattern in severe fMR. It is associated with morphological features of valve apparatus distortion resulting from differential remodeling. A strong correlation is observed between the LA/LV volume ratio and mortality.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017872"},"PeriodicalIF":6.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144215103","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}
{"title":"Harvesting the Richness of CMR With Multimodal AI: A New Dawn to Differentiate HCM and Subtype Cardiac Amyloidosis?","authors":"Parker Martin, Yuchi Han","doi":"10.1161/CIRCIMAGING.125.018600","DOIUrl":"10.1161/CIRCIMAGING.125.018600","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e018600"},"PeriodicalIF":6.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332534","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}
Lukas Damian Weberling, Andreas Ochs, Mitchel Benovoy, Fabian Aus dem Siepen, Janek Salatzki, Evangelos Giannitsis, Chong Duan, Kevin Maresca, Yao Zhang, Jan Möller, Silke Friedrich, Stefan Schönland, Benjamin Meder, Matthias G Friedrich, Norbert Frey, Florian André
{"title":"Machine Learning to Automatically Differentiate Hypertrophic Cardiomyopathy, Cardiac Light Chain, and Cardiac Transthyretin Amyloidosis: A Multicenter CMR Study.","authors":"Lukas Damian Weberling, Andreas Ochs, Mitchel Benovoy, Fabian Aus dem Siepen, Janek Salatzki, Evangelos Giannitsis, Chong Duan, Kevin Maresca, Yao Zhang, Jan Möller, Silke Friedrich, Stefan Schönland, Benjamin Meder, Matthias G Friedrich, Norbert Frey, Florian André","doi":"10.1161/CIRCIMAGING.124.017761","DOIUrl":"10.1161/CIRCIMAGING.124.017761","url":null,"abstract":"<p><strong>Background: </strong>Cardiac amyloidosis is associated with poor outcomes and is caused by the interstitial deposition of misfolded proteins, typically ATTR (transthyretin) or AL (light chains). Although specific therapies during early disease stages exist, the diagnosis is often only established at an advanced stage. Cardiovascular magnetic resonance (CMR) is the gold standard for imaging suspected myocardial disease. However, differentiating cardiac amyloidosis from hypertrophic cardiomyopathy may be challenging, and a reliable method for an image-based classification of amyloidosis subtypes is lacking. This study sought to investigate a CMR machine learning (ML) algorithm to identify and distinguish cardiac amyloidosis.</p><p><strong>Methods: </strong>This retrospective, multicenter, multivendor feasibility study included consecutive patients diagnosed with hypertrophic cardiomyopathy or AL/ATTR amyloidosis and healthy volunteers. Standard clinical information, semiautomated CMR imaging data, and qualitative CMR features were integrated into a trained ML algorithm.</p><p><strong>Results: </strong>Four hundred participants (95 healthy, 94 hypertrophic cardiomyopathy, 95 AL, and 116 ATTR) from 56 institutions were included (269 men aged 58.5 [48.4-69.4] years). A 3-stage ML screening cascade sequentially differentiated healthy volunteers from patients, then hypertrophic cardiomyopathy from amyloidosis, and then AL from ATTR. The ML algorithm resulted in an accurate differentiation at each step (area under the curve, 1.0, 0.99, and 0.92, respectively). After reducing included data to demographics and imaging data alone, the performance remained excellent (area under the curve, 0.99, 0.98, and 0.88, respectively), even after removing late gadolinium enhancement imaging data from the model (area under the curve, 1.0, 0.95, 0.86, respectively).</p><p><strong>Conclusions: </strong>A trained ML model using semiautomated CMR imaging data and patient demographics can accurately identify cardiac amyloidosis and differentiate subtypes.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017761"},"PeriodicalIF":6.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144215104","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}