Article
Radiology, Nuclear Medicine & Medical Imaging
Nuo Si, Ke Shi, Na Li, Xiaolin Dong, Chentao Zhu, Yan Guo, Jiesi Hu, Jingjing Cui, Fan Yang, Tong Zhang
Summary: The radiomics analysis of PCAT captured by CCTA showed superior performance in discriminating acute MI from UA, indicating its potential clinical value.
EUROPEAN RADIOLOGY
(2022)
Review
Cell Biology
Kevin Cheng, Andrew Lin, Jeremy Yuvaraj, Stephen J. Nicholls, Dennis T. L. Wong
Summary: Radiomics extracts quantitative information from radiologic images to identify imperceptible imaging biomarkers, aiding in the characterization of coronary plaques and potential improvement in imaging phenotyping of coronary artery disease.
Article
Cardiac & Cardiovascular Systems
Makoto Araki, Tomoyo Sugiyama, Akihiro Nakajima, Taishi Yonetsu, Lena Marie Seegers, Damini Dey, Hang Lee, Iris McNulty, Yumi Yasui, Yun Teng, Tatsuhiro Nagamine, Tsunekazu Kakuta, Ik-Kyung Jang
Summary: Vascular inflammation plays a crucial role in the development of ACS, and PCAT attenuation is higher in ACS patients compared to SAP patients.
CIRCULATION-CARDIOVASCULAR IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ke Zhou, Jin Shang, Yan Guo, Shaowei Ma, Bin Lv, Na Zhao, Hui Liu, Jiayin Zhang, Lei Xv, Yining Wang, Ting Liu, Kunhua Wang, Yuxue Dang, Yue Ma, Xujiao Chen, Na Zhu, Zhizhen Ran, Shanshan Li, Quanmei Ma, Hong Hu, Xiaolong Zhu, Dongyu Li, Yang Hou
Summary: This study aimed to evaluate the diagnostic value of the radiomics signature of pericoronary adipose tissue (PCAT) in addition to coronary artery stenosis and plaque characteristics for detecting significant coronary artery disease (CAD). The results showed that the radiomics model of PCAT performed better in discriminating ischemia, and the combined model of PCAT radiomics and quantitative characteristics improved the prediction of functionally relevant CAD.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yarong Yu, Xiaoying Ding, Lihua Yu, Ziting Lan, Yufan Wang, Jiayin Zhang
Summary: This study investigates the predictive value of peri-coronary adipose tissue (PCAT) attenuation for microvascular complications in diabetic patients without significant stenosis and develops a prediction model for early risk stratification.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Runlei Ma, Marly van Assen, Daan Ties, Gert Jan Pelgrim, Randy van Dijk, Grigory Sidorenkov, Peter M. A. van Ooijen, Pim van der Harst, Rozemarijn Vliegenthart
Summary: This study found that lesion-specific PCAT(MA) in arteries with plaque was higher than proximal PCAT(MA) in arteries without plaque, and lesion-specific PCAT(MA) was higher in non-calcified and mixed plaques compared to calcified plaques, and in minimal stenosis compared to severe.
EUROPEAN RADIOLOGY
(2021)
Review
Cell Biology
Jeremy Yuvaraj, Kevin Cheng, Andrew Lin, Peter J. Psaltis, Stephen J. Nicholls, Dennis T. L. Wong
Summary: Recent randomized clinical trials have shown a strong association between vascular inflammatory mediators and coronary artery disease. Vascular inflammation in coronary arteries increases the risk of CAD-related events and leads to biological alterations in local cardiac adipose tissue. Coronary computed tomography angiography (CTA) serves as a promising non-invasive imaging tool for mapping coronary inflammation.
Article
Cardiac & Cardiovascular Systems
Jurrien H. Kuneman, Sophie E. van Rosendael, Pieter van der Bijl, Alexander R. van Rosendael, Pieter H. Kitslaar, Johan H. C. Reiber, J. Wouter Jukema, Martin B. Leon, Nina Ajmone Marsan, Juhani Knuuti, Jeroen J. Bax
Summary: This study compared the pericoronary adipose tissue (PCAT) attenuation between acute coronary syndrome and stable coronary artery disease patients. The results showed that the PCAT attenuation in culprit lesion precursors of acute coronary syndrome patients was significantly higher than nonculprit lesions and lesions of stable coronary artery disease patients. Therefore, PCAT attenuation may be a novel marker for identifying high-risk plaques.
CIRCULATION-CARDIOVASCULAR IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Dominik Etter, Geoff Warnock, Frederic Koszarski, Tilo Niemann, Nidaa Mikail, Susan Bengs, Ronny. R. R. Buechel, Philipp Kaufmann, Catherine Gebhard, Alexia Rossi
Summary: This study aimed to investigate the impact of tube voltage and iterative reconstruction on the mean attenuation of pericoronary adipose tissue (PCAT(MA)) derived from coronary computed tomography angiography (CCTA). It was found that both tube voltage and reconstruction type significantly affected PCAT(MA), and it is recommended to use the same tube voltage and reconstruction type in multicenter and longitudinal studies.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Liping Zuo, Ziyu Tian, Binbin Zhou, Mingyuan Hou, Yinghui Chen, Pei Han, Chune Ma, Xuan Wu, Dexin Yu
Summary: The study investigated whether FAI values could be used to identify changes in inflammation status in patients undergoing stent implantation, especially in non-target lesions (NTLs).
EUROPEAN RADIOLOGY
(2023)
Article
Cell Biology
Jeremy Yuvaraj, Andrew Lin, Nitesh Nerlekar, Ravi K. Munnur, James D. Cameron, Damini Dey, Stephen J. Nicholls, Dennis T. L. Wong
Summary: This study found that PCAT attenuation is increased in stable CAD patients with HRP and is associated with subsequent development of ACS, especially in men. PCAT(RCA) was significantly higher in HRP patients who later presented with ACS.
Article
Radiology, Nuclear Medicine & Medical Imaging
Na Li, Xiaolin Dong, Chentao Zhu, Ke Shi, Nuo Si, Zhenzhou Shi, Hong Pan, Shuting Wang, Min Zhao, Tong Zhang
Summary: This study used machine learning combined with coronary CTA parameters to predict acute coronary syndrome (ACS) and evaluated the effectiveness of different models. The results showed that the model combining plaque characteristics, hemodynamic parameters, and pericoronary adipose tissue attenuation performed best in predicting culprit lesions.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Na Li, Xiaolin Dong, Chentao Zhu, Ke Shi, Nuo Si, Zhenzhou Shi, Hong Pan, Shuting Wang, Min Zhao, Tong Zhang
Summary: This study used machine learning combined with noninvasive parameters from coronary CT angiography (CTA) to construct predictive models for identifying culprit lesions in acute coronary syndrome (ACS). The results showed that combining plaque characteristics, hemodynamic parameters, and PCAT attenuation provided the best predictive effect for identifying culprit lesions.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shuihua Cheng, Jiong Ni, Weiwei Deng, Peijun Wang
Summary: This study investigated the association between perivascular fat attenuation index (FAI) and atherosclerotic plaque formation in the proximal region of the left anterior descending artery (LAD) within 3 years. The results showed that the length and stenosis of the myocardial bridge, as well as the perivascular FAI, were significant predictors of plaque formation. The combined predictive model incorporating these factors had higher diagnostic performance. Additionally, dynamic changes in the perivascular FAI were associated with plaque vulnerability.
ACADEMIC RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Verena Brandt, Josua Decker, U. Joseph Schoepf, Akos Varga-Szemes, Tilman Emrich, Gilberto Aquino, Richard R. Bayer, Landin Carson, Allison Sullivan, Lauren Ellis, Philipp L. von Knebel Doeberitz, Ullrich Ebersberger, Raffi Bekeredjian, Christian Tesche
Summary: This study investigated the association between epicardial adipose tissue (EAT) volume and coronary artery disease (CAD), and found that the combination of EAT volume with plaque quantification can predict lesion-specific ischemia similar to CT-derived fractional flow reserve (CT-FFR).
EUROPEAN RADIOLOGY
(2022)