Results 201 to 210 of about 35,491 (233)

Perivascular Adipose Tissue CT Fat Attenuation Index for Coronary In-Stent Restenosis

Advances in Clinical Medicine
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Peri-coronary fat attenuation index combined with high-risk plaque characteristics quantified from coronary computed tomography angiography for risk stratification in new-onset chest pain individuals without acute myocardial infarction. [PDF]

PLoS One
Zhang X, Cao Z, Xu J, Guan X, He H, Duan L, Ji L, Liu G, Guo Q, You Y, Zheng M, Wei M.   +11 more
europepmc   +1 more source

Analysis of the Effect of Left Anterior Descending Myocardial Bridging on the Pericoronary Fat Attenuation Index

Advances in Clinical Medicine
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Prognostic Implications of the Periaortic Fat Attenuation Index in Uncomplicated Type B Aortic Dissection

Radiology: Cardiothoracic Imaging
Periaortic fat attenuation index measured at noncontrast CT was high in patients with acute aortic dissection and predicted adverse events in uncomplicated type B aortic dissection, aiding in risk stratification and personalized treatment.
Shun Nakamura, VÍCTOR Y Cheng
exaly   +3 more sources

Prognostic utility of the pericoronary fat attenuation index in patients with takotsubo cardiomyopathy

Journal of Cardiovascular Computed Tomography, 2023
The etiology of takotsubo cardiomyopathy (TCM) remains poorly understood and no optimal management strategy has been established. Identification of features associated with poor outcomes may improve the prognosis of patients with TCM. We aimed to identify the predictors of poor prognosis in patients with TCM using coronary computed tomography ...
Kodai Sayama, Tomoyo Sugiyama, Yoshihisa Kanaji, Masahiro Hoshino, Toru Misawa, Masahiro Hada, Tatsuhiro Nagamine, Yoshihiro Hanyu, Kai Nogami, Hiroki Ueno, Kazuki Matsuda, Tatsuya Sakamoto, Taishi Yonetsu, Tsunekazu Kakuta   +13 more
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Abstract 15792: COVID-19 and Pericoronary Fat Attenuation Index; Is There a Link?

Circulation, 2023
Introduction: Pericoronary fat attenuation index (pFAI) is a marker of coronary inflammation, a key step in atherosclerotic plaque formation. COVID-19 infection has also been shown to be associated with significant systemic inflammation. The aim of this study is to assess the impact of active COVID-19 infection on pFAI.
Malek Nayfeh JR, Ahmed Ibrahim Ahmed, Fares Alahdab, Mahmoud Al Rifai, Mouaz Al-Mallah   +4 more
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Stent-specific fat attenuation index is associated with target vessel revascularization after PCI

European Radiology, 2023
To explore the clinical relevance of stent-specific perivascular fat attenuation index (FAI) in patients with stent implantation.A total of 162 consecutive patients who underwent coronary computed tomography angiography (CCTA) following stent implantation were retrospectively included.
Feng Xu, Chengcheng Wang, Qing Tao, Jian Zhang, Mingming Zhao, Shiwei Shi, Mengmeng Zhu, Chunxiang Tang, Longjiang Zhang, Changsheng Zhou, Chunhong Hu   +10 more
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Prediction value of pericoronary fat attenuation index for coronary in-stent restenosis

European Radiology
As a novel imaging marker, pericoronary fat attenuation index (FAI) reflects the local coronary inflammation which is one of the major mechanisms for in-stent restenosis (ISR). We aimed to validate the ability of pericoronary FAI to predict ISR in patients undergoing percutaneous coronary intervention (PCI).Patients who underwent coronary CT ...
Zhong-Fei Lu, Wei-Hua Yin, U. Joseph Schoepf, Sameer Abrol, Jing-Wen Ma, Li Zhao, Xiao-Ming Su, Yun-Qiang An, Zhi-Cheng Xiao, Bin Lu   +9 more
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Deep Learning-based Post Hoc CT Denoising for the Coronary Perivascular Fat Attenuation Index

Academic Radiology, 2023
Coronary inflammation related to high-risk hemorrhagic plaques can be captured by the perivascular fat attenuation index (FAI) using coronary computed tomography angiography (CCTA). Since the FAI is susceptible to image noise, we believe deep learning (DL)-based post hoc noise reduction can improve diagnostic capability.
Tatsuya Nishii, Takuma Kobayashi, Tatsuya Saito, Akiyuki Kotoku, Yasutoshi Ohta, Satoshi Kitahara, Kensuke Umehara, Junko Ota, Hiroki Horinouchi, Yoshiaki Morita, Teruo Noguchi, Takayuki Ishida, Tetsuya Fukuda   +12 more
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