The international journal of cardiovascular imaging最新文献

{"title":"Left versus right common carotid artery intima-media thickness: when sub-millimetric differences matter.","authors":"Christian Saleh","doi":"10.1007/s10554-024-03266-w","DOIUrl":"10.1007/s10554-024-03266-w","url":null,"abstract":"","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"2631-2632"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bivariate meta-analysis in diagnostic research.","authors":"George Cm Siontis, Orestis Efthimiou","doi":"10.1007/s10554-024-03192-x","DOIUrl":"10.1007/s10554-024-03192-x","url":null,"abstract":"","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"2633-2634"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141622084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distinguishing hypertensive cardiomyopathy from cardiac amyloidosis in hypertensive patients with heart failure: a CMR study with histological confirmation.","authors":"Katarzyna Elzbieta Gil, Vien Truong, Chuanfen Liu, Dalia Y Ibrahim, Katarzyna Mikrut, Anjali Satoskar, Juliet Varghese, Rami Kahwash, Yuchi Han","doi":"10.1007/s10554-024-03262-0","DOIUrl":"10.1007/s10554-024-03262-0","url":null,"abstract":"<p><strong>Purpose: </strong>Differentiation of the cause of left ventricular hypertrophy (LVH) is challenging in cases with co-existing hypertension. CMR offers assessment of diffuse myocardial abnormalities via T1 mapping with extracellular volume fraction (ECV) and macroscopic fibrosis via late gadolinium enhancement imaging (LGE). The goal of the study was to understand if CMR parameters can differentiate hypertensive cardiomyopathy (HC) from cardiac amyloidosis (CA) in patients with hypertension and heart failure, using endomyocardial biopsy (EMB) as the gold standard.</p><p><strong>Methods: </strong>We retrospectively analyzed patients with hypertension, LVH, and heart failure undergoing EMB due to uncertain diagnosis. CMR parameters including cine, LGE characteristics, T1 mapping, and ECV were analyzed.</p><p><strong>Results: </strong>A total of 34 patients were included (mean age 66.5 ± 10.7 years, 79.4% male). The final EMB-based diagnosis was HC (10, 29%), light chain (AL) CA (7, 21%), and transthyretin (ATTR) CA (17, 50%). There was a significant difference in subendocardial LGE (p = 0.03) and number of AHA segments with subendocardial LGE (p = 0.005). The subendocardial LGE pattern was most common in AL-CA (85.7%) and African American with HC (80%). ECV elevation (≥ 29%) was present in all patients with CA (AL-CA: 57.6 ± 5.2%, ATTR-CA: 59.1 ± 15.3%) and HC (37.3 ± 4.5%).</p><p><strong>Conclusions: </strong>Extensive subendocardial LGE pattern is not pathognomonic for CA but might also be present in African American patients with longstanding or poorly controlled HTN. The ECV elevation in HC with HF might be more significant than previously reported with an overlap of ECV values in HC and CA, particularly in younger African American patients.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"2559-2570"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11618216/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of multimodal imaging in the diagnosis of prosthetic valve and intracardiac device endocarditis: A review.","authors":"Emmanuel Daniel, Mohammed El-Nayir, Chukwunonso Ezeani, Karldon Nwaezeapu, Oboseh John Ogedegbe, Misha Khan","doi":"10.1007/s10554-024-03277-7","DOIUrl":"https://doi.org/10.1007/s10554-024-03277-7","url":null,"abstract":"<p><p>Infective endocarditis (IE) is a severe cardiac condition associated with substantial morbidity and mortality. Traditionally, the modified Duke's criteria have been used to establish the diagnosis of IE, which includes using transthoracic and transesophageal echocardiography. While echocardiography performs well in diagnosing native valve endocarditis, its diagnostic accuracy decreases in patients with prosthetic valves or implanted cardiac devices such as pacemakers and defibrillators. Given these limitations and advancements in cardiac imaging, including multimodal computed tomography, magnetic resonance imaging, and positron emission tomography, there has been growing interest in the utility of these techniques for diagnosing prosthetic valve endocarditis (PVE) and Cardiovascular implantable electronic device infection (CIEDI). Although numerous studies have investigated the value of these imaging modalities, their findings have been inconsistent. This article aims to reevaluate the role of advanced imaging in diagnosing PVE and CIEDI and its impact on managing prosthetic valves and device-related infective endocarditis. Methods A comprehensive literature search was conducted in PubMed, Cochrane library, Google Scholar, Embase, and other relevant databases. Key terms such as 'infective endocarditis,' 'multimodal imaging,' 'prosthetic valve endocarditis,' '18F-FDG PET,' 'cardiac MRI,' and 'cardiac CT' were used to identify studies that investigated the role of these imaging modalities in diagnosing PVE and CIEDI. Publications with full text including randomized controlled trials, retrospective studies, case reports, case series, reviews of literature, and society guidelines were included.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142712332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A practical guide and review of the literature on zero-fluoroscopy electrophysiology catheter navigation by intracardiac echocardiography.","authors":"Blerim Luani, Rüdiger C Braun-Dullaeus","doi":"10.1007/s10554-024-03275-9","DOIUrl":"https://doi.org/10.1007/s10554-024-03275-9","url":null,"abstract":"<p><p>Navigation of electrophysiology (EP) catheters using intracardiac echocardiography (ICE) is an emerging technique to avoid fluoroscopy and simplify EP procedures. It enables zero-fluoroscopy catheter ablation of most common arrhythmias such as atrial fibrillation, atrioventricular-nodal-reentry-tachycardia, or cavotricuspid isthmus-dependent atrial flutter. In this practical guide, we share our experience and illustrate the principles as well as common manoeuvres for endovascular and intracardiac EP catheter navigation relying solely on ICE visualisation. We also review the available data and highlight the topics which require further investigation in this field.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disparities in quantification of mitral valve regurgitation between cardiovascular magnetic resonance imaging and trans-thoracic echocardiography: a systematic review.","authors":"Sulayman El Mathari, Rahul A Bhoera, Luuk H G A Hopman, Josephine Heidendael, Arjan Malekzadeh, Aart Nederveen, Pim van Ooij, Marco J W Götte, Jolanda Kluin","doi":"10.1007/s10554-024-03280-y","DOIUrl":"https://doi.org/10.1007/s10554-024-03280-y","url":null,"abstract":"<p><p>Primary mitral regurgitation (MR) is a prevalent valvular heart disease. Therapy stratification for MR depends on accurate assessment of MR severity and left ventricular (LV) dimensions. While trans-thoracic echocardiography (TTE) has been the standard/preferred assessment method, cardiovascular magnetic resonance imaging (CMR) has gained recognition for its superior assessment of LV dimensions and MR severity. Both imaging modalities have their own advantages and limitation for therapy guidance. However, the differences between the two modalities for assessing/grade severity and clinical impact of MR remains unclear. This systematic review aims to evaluate the differences between TTE and CMR in quantifying MR severity and LV dimensions, providing insights for optimal clinical management. A literature search was performed from inception up to March 21st 2023. This resulted in 2,728 articles. After screening, 22 articles were deemed eligible for inclusion in the meta-analysis. The included study variables were, mitral valve regurgitation volume (MR_VOL), regurgitation fraction (MR_FRAC), LV end-diastolic volume (LVEDV), LV end-systolic volume (LVESV), LV stroke volume (LVSV), and LV ejection fraction (LVEF). TTE showed a significant higher MR_VOL (10.4 ml, I² = 88%, p = 0.002) and MR_FRAC (6.3%, I² = 51%, p = 0.05) compared to CMR, while CMR demonstrated a higher LVEDV (21.9 ml, I² = 66%, p =  < 0.001) and LVESV (16.8 ml, I² = 0%, p =  < 0.001) compared to TTE. Our findings demonstrate substantial disparities in TTE and CMR derived measurements for parameters that play a pivotal role in the clinical stratification guidelines. This discrepancy prompts a critical question regarding the prognostic value of both imaging modalities, which warrants future research.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic performance of high and ultra-high-resolution photon counting CT for detection of coronary artery disease in patients evaluated for transcatheter aortic valve implantation.","authors":"Simran P Sharma, Sarah Verhemel, Alexander Hirsch, Judith van der Bie, Marcel L Dijkshoorn, Joost Daemen, Nicolas van Mieghem, Ricardo P J Budde","doi":"10.1007/s10554-024-03273-x","DOIUrl":"https://doi.org/10.1007/s10554-024-03273-x","url":null,"abstract":"<p><p>We assessed the diagnostic performance of both ultra-high-resolution (UHR) and high-resolution (HR) modes of photon-counting detector (PCD)-CT within the confines of standard pre-TAVI CT scans, as well as the performance of UHR mode adjusted specifically for coronary imaging, using quantitative coronary angiography (QCA) as the reference. We included 60 patients undergoing pre-TAVI planning CT scans. Patients were divided into 3 groups: 20 scanned in HR mode, 20 in UHR mode, and 20 in adjusted UHR mode, on a dual-source PCD-CT. The adjusted UHR mode employed a lower tube voltage (90 kV vs. 120 kV) and a higher image quality level (65 vs. 34) to enhance coronary artery visualization. Patients underwent invasive coronary angiography as part of clinical routine. CCTA and QCA were reviewed to assess CAD presence defined as stenosis ≥ 50% in proximal and middle coronary segments. We included 60 patients (mean age 79 ± 7 years; 39(65%) men). Mean heart rate during scanning was 72 ± 13 bpm. Median coronary calcium score was 973 [379-2007]. QCA identified significant CAD in 24 patients (40%): 9 patients scanned with HR mode, 10 patients with the UHR mode, and 5 patients with the UHR adjusted mode. Per-patient area under the curves were 0.57 for HR, 0.80 for UHR, and 0.80 for adjusted UHR, with no significant differences between the scan modes, and per-vessel the area under the curves were 0.73 for HR, 0.69 for UHR, and 0.87 for adjusted UHR, with significant differences between UHR and adjusted UHR (p = 0.04). UHR and adjusted UHR modes of dual source PCD-CT show potential for improved sensitivity and negative predictive value for detecting CAD in patients undergoing pre-TAVI scans, however, no statistically significant difference from HR mode was observed.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Migration of the left atrial appendage closure device to the aorta.","authors":"Susana González-Suárez, José Carlos Sureda Barbosa, María Sol Siliato Robles, Martha Magaly Paguay Fernández","doi":"10.1007/s10554-024-03136-5","DOIUrl":"10.1007/s10554-024-03136-5","url":null,"abstract":"<p><p>Percutaneous closure of the left atrial appendage may be indicated in patients with contraindications to anticoagulation therapy, for example, after recurrent gastrointestinal bleeding. It is an effective and safe procedure but is not without complications. We present a patient who presented with severe aortic insufficiency due to migration of the left atrial appendage closure device, which required urgent cardiac surgery for its removal.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"2443-2444"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning model for intravascular ultrasound image segmentation with temporal consistency.","authors":"Hyeonmin Kim, June-Goo Lee, Gyu-Jun Jeong, Geunyoung Lee, Hyunseok Min, Hyungjoo Cho, Daegyu Min, Seung-Whan Lee, Jun Hwan Cho, Sungsoo Cho, Soo-Jin Kang","doi":"10.1007/s10554-024-03221-9","DOIUrl":"10.1007/s10554-024-03221-9","url":null,"abstract":"<p><p>This study was conducted to develop and validate a deep learning model for delineating intravascular ultrasound (IVUS) images of coronary arteries.Using a total of 1240 40-MHz IVUS pullbacks with 191,407 frames, the model for lumen and external elastic membrane (EEM) segmentation was developed. Both frame- and vessel-level performances and clinical impact of the model on 3-year cardiovascular events were evaluated in the independent data sets. In the test set, the Dice similarity coefficients (DSC) were 0.966 ± 0.025 and 0.982 ± 0.017 for the lumen and EEM, respectively. Even at sites of extensive attenuation, the frame-level performance was excellent (DSCs > 0.96 for the lumen and EEM). The model (vs. the expert) showed a better temporal consistency for contouring the EEM. The agreement between the model- vs. the expert-derived cross-sectional and volumetric measurements was excellent in the independent retrospective cohort (all, intra-class coefficients > 0.94). The model-derived percent atheroma volume > 52.5% (area under curve 0.70, sensitivity 71% and specificity 67%) and plaque burden at the minimal lumen area site (area under curve 0.72, sensitivity 72% and specificity 66%) best predicted 3-year cardiac death and nonculprit-related target vessel revascularization, respectively. In the stented segment, the DSCs > 0.96 for contouring lumen and EEM were achieved. Applied to the 60-MHz IVUS images, the DSCs were > 0.97. In the external cohort with 45-MHz IVUS, the DSCs were > 0.96. The deep learning model accurately delineated vascular geometry, which may be cost-saving and support clinical decision-making.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"2283-2292"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142074910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.","authors":"Florian Hagen, Linda Vorberg, Florian Thamm, Hendrik Ditt, Andreas Maier, Jan Michael Brendel, Patrick Ghibes, Malte Niklas Bongers, Patrick Krumm, Konstantin Nikolaou, Marius Horger","doi":"10.1007/s10554-024-03222-8","DOIUrl":"10.1007/s10554-024-03222-8","url":null,"abstract":"<p><p>To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we retrospectively reviewed 99 oncological patients (median age in years: 64 (range: 28-92 years); percentage of female: 39.4%) who received unenhanced and contrast-enhanced chest CT examinations in one session between January 2020 and October 2022 and who were diagnosed incidentally with PE. Findings in the unenhanced images were correlated with the contrast-enhanced images, which were considered the gold standard for central, segmental and subsegmental PE. The new algorithm was trained and tested based on the 99 unenhanced chest-CT image data sets. Based on them, candidate boxes, which were output by the model, were post-processed by evaluating whether the predicted box intersects with the patient's lung segmentation at any position. The AI-based algorithm proved to have an overall sensitivity of 54.5% for central, of 81.9% for segmental and 80.0% for subsegmental PE if taking n = 20 candidate boxes into account. Depending on the localization of the pulmonary embolism, the detection rate for only one box was: 18.1% central, 34.7% segmental and 0.0% subsegmental. The median volume of the clots differed significantly between the three subgroups and was 846.5 mm³ (IQR:591.1-964.8) in central, 201.3 mm³ (IQR:98.3-390.9) in segmental and 110.6 mm³ (IQR:94.3-128.0) in subsegmental PA (p < 0.05). The new algorithm proved to have high sensitivity in detecting PE in particular in segmental/subsegmental localization and may guide to decide whether a second contrast enhanced CT is necessary.</p>","PeriodicalId":94227,"journal":{"name":"The international journal of cardiovascular imaging","volume":" ","pages":"2293-2304"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}