Baiyan Zhuang

Dr. Baiyan Zhuang


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 September 2020 in Journal of Magnetic Resonance Imaging
Verified
Journal Article
Closed access
PDF file
JHJian He
Jian He
ASArlene Sirajuddin
Arlene Sirajuddin
SLShuang Li
Shuang Li
BZBaiyan Zhuang
Baiyan Zhuang
JXJing Xu
Jing Xu
MLMinjie Lu
Minjie Lu

3 April 2020 in Journal of Magnetic Resonance Imaging
Verified
Journal Article
Closed access
PDF file
BZBaiyan Zhuang
Baiyan Zhuang
SLShuang Li
Shuang Li
JXJing Xu
Jing Xu
DZDi Zhou
Di Zhou
GYGang Yin
Gang Yin
MLMinjie Lu
Minjie Lu

1 March 2025 in Circulation: Cardiovascular Imaging
Verified
Journal Article
Open access
DZDi Zhou
Di Zhou
LZLeyi Zhu
Leyi Zhu
SLShuang Li
Shuang Li
WWWeichun Wu
Weichun Wu
BZBaiyan Zhuang
Baiyan Zhuang
MLMinjie Lu
Minjie Lu
BACKGROUND: Current guidelines recommend implantable cardioverter defibrillators for the primary prevention of sudden cardiac death (SCD) in patients with dilated cardiomyopathy with left ventricular ejection fraction (LVEF)≤35%. However, its effectiveness is hindered by the inability to reliably discriminate between the risk of SCD and competing death of heart failure deterioration, thereby limiting its clinical utility. We aimed to refine the SCD risk stratification model based on cardiac magnetic resonance imaging for patients with dilated cardiomyopathy with LVEF≤35%. METHODS: A total of 1272 patients with dilated cardiomyopathy with LVEF≤35% who underwent cardiac magnetic resonance imaging were consecutively enrolled in this study. The primary end point is a composite of SCD or aborted SCD and the second end point is a composite of heart failure death and heart transplantation. RESULTS: Over a median follow-up of 86.3 months, 101 patients reached the primary end point. In the adjusted analysis, age (hazard ratio [HR], 1.02 [95% CI, 1.01–1.04]; P =0.006) years, a family history of SCD (HR, 2.00 [95% CI, 1.01–3.98]; P =0.05), NT-proBNP (N-terminal pro-B-type natriuretic peptide) (HR, 2.02 [95% CI, 1.18–3.44]; P =0.01), LVEF (per 5% HR, 0.79 [95% CI, 0.66–0.95]; P =0.01), and late gadolinium enhancement≥7.5% (HR, 4.11[95% CI, 2.72–6.21]; P <0.001) were associated with SCD or aborted SCD. Left atrial volume index≥68.3 mL/m 2 was an independent predictor of the secondary end point (adjusted HR, 1.65 [95% CI, 1.13–2.40]; P =0.009). Compared with late gadolinium enhancement<7.5%, patients with late gadolinium enhancement≥7.5% and LVEF≤20% had a 7.12-fold higher risk of experiencing SCD events in competing Cox analysis (annual event rate, 4.8%). CONCLUSIONS: Patients with dilated cardiomyopathy with late gadolinium enhancement≥7.5% were at heightened risk of SCD events, which can be used for risk assessment. Risk stratifications for SCD, combining clinical and cardiac magnetic resonance imaging may potentially guide decision-making for implantable cardioverter defibrillator therapy.

13 March 2024 in Clinical Radiology
Verified
Journal Article
Closed access
WWW. Wang
W. Wang
SLS. Li
S. Li
BZBaiyan Zhuang
Baiyan Zhuang
HWHui Wang
Hui Wang
YRY. Ren
Y. Ren
LXlei xu
lei xu

1 January 2025 in Open Heart
Verified
Journal Article
Open access
PDF file
BZBaiyan Zhuang
Baiyan Zhuang
SLShuang Li
Shuang Li
HZHongkai Zhang
Hongkai Zhang
ZSZhonghua Sun
Zhonghua Sun
HWHui Wang
Hui Wang
LXlei xu
lei xu
Objectives: Non-dilated left ventricular cardiomyopathy (NDLVC) is a novel cardiomyopathy characterised by normal LV size and non-ischaemic myocardial scarring or fatty tissue replacement. This study aimed to explore the clinical and cardiac magnetic resonance (CMR) characteristics of NDLVC compared with dilated cardiomyopathy (DCM) and event rates of patients with NDLVC and reduced LV ejection fraction (NDLVC-REF). Materials and methods: A retrospective cohort study of 396 patients, including 210 with NDLVC (135 classified as NDLVC-REF) and 186 with DCM, who underwent CMR imaging between 2015 and 2017, was conducted. Follow-up lasted until May 2024, with a composite endpoint of major adverse cardiovascular events (only NDLVC patients were followed). Results: NDLVC patients exhibited better cardiac function than those with DCM, with higher LVEF (40.1%±15.8% vs 23.3%±8.8%, p<0.001). Compared with DCM, the presence of late gadolinium enhancement (LGE) was lower in the NDLVC group (77.4% vs 64.8%, p<0.001). NDLVC-REF showed a comparable prevalence of LGE presence with DCM (70.4% vs 77.4%, p=0.06) but lower LGE mass (4.8 (0, 9.9) g vs 6.8 (4.0, 11.0) g, p=0.01). Over a median follow-up of 83 months, 62 patients with NDLVC (29.5%) reached the composite endpoint. Multivariable analyses (forward logistic regression) identified right ventricular ejection fraction (RVEF) (0.98 (0.96, 0.99), p=0.01, Harrell’s C-index=0.65) as the significant predictor of adverse outcomes in NDLVC. The presence of epicardium-involved LGE, left atrial volume index, LVEF, global radial strain and global circumferential strain was also associated with adverse events in NDLVC. In NDLVC-REF, RVEF <40% independently predicted major adverse cardiovascular events (2.19 (1.14–4.20), p=0.01). Conclusion: The clinical baseline and CMR parameters of NDLVC were different from those of DCM. RVEF was a powerful predictor of adverse events in NDLVC and NDLVC-REF.

8 November 2025 in International Journal of Cardiology Cardiovascular Risk and Prevention
Verified
Journal Article
Open access
YSYiming Sang
Yiming Sang
SLShuang Li
Shuang Li
HWHui Wang
Hui Wang
HZHongkai Zhang
Hongkai Zhang
BZBaiyan Zhuang
Baiyan Zhuang
LXlei xu
lei xu
With the growing demand for coronary artery visualization and the diagnosis of coronary artery disease, noninvasive coronary imaging modalities have gained significance. Coronary magnetic resonance angiography (CMRA) is a promising technique as it is noninvasive and does not involve ionizing radiation or iodinated contrast agents. Although certain limitations in this technology have prevented its application as a first-line clinical imaging modality, its immense developmental potential has positioned it as a focal point of research. This review discusses the advancements in CMRA across multiple technical domains—including motion correction, imaging acceleration, and integration with artificial intelligence—as well as its current clinical status and future prospects.