journal
Journals Circulation. Cardiovascular Im...

Circulation. Cardiovascular Imaging

https://read.qxmd.com/read/38415386/potential-effects-of-mild-atrial-secondary-mitral-regurgitation-in-patients-with-isolated-atrial-fibrillation
#21
JOURNAL ARTICLE
Jun Akashi, Mai Iwataki, Yosuke Nabeshima, Takeshi Onoue, Atsushi Hayashi, Tetsuo Tanaga, Shun Nishino, Toshiyuki Kimura, Mitsuhiro Yano, Nozomi Watanabe, Yuki Tsuda, Masaru Araki, Yoshisato Shibata, Yosuke Nishimura, Yutaka Otsuji, Masaharu Kataoka
BACKGROUND: Patients with only moderate atrial secondary mitral regurgitation (asMR) frequently develop heart failure (HF). Mechanisms of HF with moderate asMR and the impact of mild asMR remain unclarified. Although mild/moderate primary mitral regurgitation is compensated by left ventricular (LV) dilatation, the LV is not dilated in asMR. We hypothesized that patients with mild asMR without LV dilatation may have impaired hemodynamics and higher risks of subsequent symptomatic HF deterioration...
February 28, 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38415350/kounis-syndrome-after-administration-of-ultrasound-enhancing-agent
#22
JOURNAL ARTICLE
Margot C Yopes, Emily A Larnard, Spencer D Liu, Jessica L Stout, Jason D Matos, Eric A Osborn, Jordan B Strom
No abstract text is available yet for this article.
February 28, 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38288625/rare-case-of-renal-epithelioid-angiomyolipoma-with-tumor-thrombus-into-the-ivc-and-right-atrium
#23
JOURNAL ARTICLE
Luo Xing, Yi Yilun, Zheng Ji, Chen Wei
No abstract text is available yet for this article.
January 30, 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38626100/in-this-issue-of-the-journal
#24
EDITORIAL
Robert J Gropler
No abstract text is available yet for this article.
April 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38626099/phenomapping-to-guide-treatment-of-ischemic-cardiomyopathy-with-secondary-mitral-regurgitation-one-size-does-not-fit-all
#25
EDITORIAL
Katherine C Wu
No abstract text is available yet for this article.
April 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38626098/feasibility-and-diagnostic-performance-of-functional-syntax-score-derived-from-dynamic-ct-myocardial-perfusion-imaging
#26
JOURNAL ARTICLE
Xu Dai, Lihua Yu, Yarong Yu, Wenli Yang, Ziting Lan, Jiajun Yuan, Wenyi Yang, Jiayin Zhang
BACKGROUND: Computed tomography (CT) fractional flow reserve (FFR)-derived functional SYNTAX score (FSSCT-FFR ) is a valuable method for guiding treatment strategy in patients with multivessel coronary artery disease. Dynamic CT myocardial perfusion imaging (CT-MPI) demonstrates higher diagnostic accuracy than CT-FFR in identifying hemodynamically significant coronary artery disease. We aimed to evaluate the feasibility of CT-MPI-derived FSS (FSSCT-MPI ) with reference to invasive FSS...
April 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38626097/cardiac-mri-enriched-phenomapping-classification-and-differential-treatment-outcomes-in-patients-with-ischemic-cardiomyopathy
#27
JOURNAL ARTICLE
Deborah H Kwon, Shuaiqi Huang, Mustafa Turkmani, Donna Salam, Danah Al-Dieri, Tom Kai Ming Wang, Samir R Kapadia, Amar Krishnaswamy, Marc Gillinov, Lars G Svensson, Richard A Grimm, W H Wilson Tang, David Chen, Christopher T Nguyen, Xiaofeng Wang
BACKGROUND: Significant controversy continues to confound patient selection and referral for revascularization and mitral valve intervention in patients with ischemic cardiomyopathy (ICM). Cardiac magnetic resonance (CMR) enables comprehensive phenotyping with gold-standard tissue characterization and volumetric/functional measures. Therefore, we sought to determine the impact of CMR-enriched phenomapping patients with ICM to identify differential outcomes following surgical revascularization and surgical mitral valve intervention (sMVi)...
April 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38626096/manifestations-of-prosthetic-valve-endocarditis-lessons-from-multimodality-imaging-and-pathological-correlation
#28
REVIEW
Erika Hutt, Francisco Jesus Marco Canosa, Shinya Unai, Wael A Jaber
Heart valve replacement has steadily increased over the past decades due to improved surgical mortality, an aging population, and the increasing use of transcatheter valve technology. With these developments, prosthetic valve complications, including prosthetic valve endocarditis, are increasingly encountered. In this review, we aim to characterize the manifestations of prosthetic valve endocarditis using representative case studies from our institution to highlight the advances and contributions of modern multimodality imaging techniques...
April 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38502738/imaging-based-ffr-how-many-steps-toward-replacement-for-wire-based-ffr-on-a-journey-of-a-thousand-miles
#29
EDITORIAL
Takayuki Warisawa, Takashi Akasaka
No abstract text is available yet for this article.
March 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38502737/benign-or-malignant-cardiac-mass-refining-the-role-of-cardiac-magnetic-resonance
#30
EDITORIAL
Brian D Hoit
No abstract text is available yet for this article.
March 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38502736/in-this-issue-of-the-journal
#31
EDITORIAL
Robert J Gropler
No abstract text is available yet for this article.
March 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38502735/diagnostic-performance-of-angiography-derived-quantitative-flow-ratio-in-complex-coronary-lesions
#32
JOURNAL ARTICLE
Xianpeng Wu, Kan Wang, Guohua Li, Jie Wu, Jun Jiang, Feng Gao, Lingjun Zhu, Qiyuan Xu, Xinhong Wang, Mengxi Xu, Hui Chen, Longhui Ma, Xianjun Han, Nan Luo, Shengxian Tu, Jian'an Wang, Xinyang Hu
BACKGROUND: Quantitative flow ratio derived from computed tomography angiography (CT-QFR) and invasive coronary angiography (Murray law-based quantitative flow ratio [μQFR]) are novel approaches enabling rapid computation of fractional flow reserve without the use of pressure guidewires and vasodilators. However, the feasibility and diagnostic performance of both CT-QFR and μQFR in evaluating complex coronary lesions remain unclear. METHODS: Between September 2014 and September 2021, 240 patients with 30% to 90% coronary diameter stenosis who underwent both coronary computed tomography angiography and invasive coronary angiography with fractional flow reserve within 60 days were retrospectively enrolled...
March 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38502734/cardiac-magnetic-resonance-to-predict-cardiac-mass-malignancy-the-cmr-mass-score
#33
JOURNAL ARTICLE
Pasquale Paolisso, Luca Bergamaschi, Francesco Angeli, Marta Belmonte, Alberto Foà, Lisa Canton, Damiano Fedele, Matteo Armillotta, Angelo Sansonetti, Francesca Bodega, Sara Amicone, Nicole Suma, Emanuele Gallinoro, Domenico Attinà, Fabio Niro, Paola Rucci, Elisa Gherbesi, Stefano Carugo, Saima Musthaq, Andrea Baggiano, Anna Giulia Pavon, Marco Guglielmo, Edoardo Conte, Daniele Andreini, Gianluca Pontone, Luigi Lovato, Carmine Pizzi
BACKGROUND: Multimodality imaging is currently suggested for the noninvasive diagnosis of cardiac masses. The identification of cardiac masses' malignant nature is essential to guide proper treatment. We aimed to develop a cardiac magnetic resonance (CMR)-derived model including mass localization, morphology, and tissue characterization to predict malignancy (with histology as gold standard), to compare its accuracy versus the diagnostic echocardiographic mass score, and to evaluate its prognostic ability...
March 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38440904/straining-the-limits-atrial-imaging-to-predict-subclinical-atrial-fibrillation
#34
EDITORIAL
Kevin J Um, Jeffrey S Healey, Renato D Lopes
No abstract text is available yet for this article.
March 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38377242/meta-analysis-of-normal-reference-values-for-right-and-left-ventricular-quantification-by-cardiovascular-magnetic-resonance
#35
JOURNAL ARTICLE
Yang Zhan, Matthias G Friedrich, Nandini Dendukuri, Yang Lu, Michael Chetrit, Ian Schiller, Lawrence Joseph, Jaime L Shaw, Michael L Chuang, Johannes H Riffel, Warren J Manning, Jonathan Afilalo
BACKGROUND: Cardiovascular magnetic resonance (CMR) reference values are relied upon to accurately diagnose left ventricular (LV) and right ventricular (RV) pathologies. To date, reference values have been derived from modest sample sizes with limited patient diversity and attention to 1 but not both commonly used tracing techniques for papillary muscles and trabeculations. We sought to overcome these limitations by meta-analyzing normal reference values for CMR parameters stemming from multiple countries, vendors, analysts, and patient populations...
February 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38377241/differences-and-disparities-among-self-referred-and-physician-referred-populations-undergoing-coronary-artery-calcium-scanning
#36
JOURNAL ARTICLE
Nathan Marzlin, Andrew Chapel, James Adefisoye, Kritika Garg, Viviana Zlochiver, Sara Walczak, Doreen Plautz, Michael Peterson, Lakshmi Muthukumar, Daniel R Harland, Renuka Jain, Steven Port, Patrycja Galazka
BACKGROUND: Coronary artery calcium computed tomography (CAC) is an important tool for identifying subclinical atherosclerosis and cardiovascular risk stratification. Despite robust evidence and inclusion in current guidelines, CAC is considered investigational by some US insurance carriers and requires out-of-pocket expenses. CAC can be obtained via self-referral (SR) or physician referral (PR). We aimed to examine differences in patient, socioeconomic, and CAC characteristics between referral groups...
February 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38377240/nuances-in-defining-normal-ranges-for-chamber-quantification-with-cardiovascular-magnetic-resonance
#37
EDITORIAL
Tiffany Dong, Tom Kai Ming Wang
No abstract text is available yet for this article.
February 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38377239/in-this-issue-of-the-journal
#38
EDITORIAL
Frederick L Ruberg, Robert J Gropler
No abstract text is available yet for this article.
February 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38377238/multimodality-cardiac-imaging-and-the-imaging-workforce-in-the-united-states-diversity-disparities-and-future-directions
#39
JOURNAL ARTICLE
Renee P Bullock-Palmer, Karen Flores Rosario, Pamela S Douglas, Rebecca T Hahn, Roberto M Lang, Panithaya Chareonthaitawee, Monvadi B Srichai, Karen G Ordovas, Lauren A Baldassarre, Melissa S Burroughs, Cory S Henderson, Pamela K Woodard, Kathleen Pressoir, Madhav Swaminathan, Ron Blankstein, Melissa A Daubert
Innovations in cardiac imaging have fundamentally advanced the understanding and treatment of cardiovascular disease. These advances in noninvasive cardiac imaging have also expanded the role of the cardiac imager and dramatically increased the demand for imagers who are cross-trained in multiple modalities. However, we hypothesize that there is significant variation in the availability of cardiac imaging expertise and a disparity in the adoption of advanced imaging technologies across the United States. To evaluate this, we have brought together the leaders of cardiovascular imaging societies, imaging trainees, as well as collaborated with national imaging accreditation commissions and imaging certification boards to assess the state of cardiac imaging and the diversity of the imaging workforce in the United States...
February 2024: Circulation. Cardiovascular Imaging
https://read.qxmd.com/read/38377237/machine-learning-and-bias-in-medical-imaging-opportunities-and-challenges
#40
JOURNAL ARTICLE
Amey Vrudhula, Alan C Kwan, David Ouyang, Susan Cheng
Bias in health care has been well documented and results in disparate and worsened outcomes for at-risk groups. Medical imaging plays a critical role in facilitating patient diagnoses but involves multiple sources of bias including factors related to access to imaging modalities, acquisition of images, and assessment (ie, interpretation) of imaging data. Machine learning (ML) applied to diagnostic imaging has demonstrated the potential to improve the quality of imaging-based diagnosis and the precision of measuring imaging-based traits...
February 2024: Circulation. Cardiovascular Imaging
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