Jiang Xie

Dr. Jiang Xie

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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1 June 2020 in Mayo Clinic Proceedings
Verified
Journal Article
Closed access
JXJiang Xie
Jiang Xie
NCNaima Covassin
Naima Covassin
ZFZhengyang Fan
Zhengyang Fan
PSPrachi Singh
Prachi Singh
WGWei Gao
Wei Gao
VSVirend K. Somers
Virend K. Somers

1 November 2020 in Mayo Clinic Proceedings
Verified
Journal Article
Closed access
VSVirend K Somers
Virend K Somers
TKTomas Kara
Tomas Kara
JXJiang Xie
Jiang Xie

26 November 2018 in Heart & Lung
Verified
Journal Article
Closed access
PDF file
JXJiang Xie
Jiang Xie
FLFei Li
Fei Li
XWXiaofan Wu
Xiaofan Wu
WHWeiwei Hou
Weiwei Hou

1 March 2021 in Heart & Lung
Verified
Journal Article
Closed access
JWJingting Wang
Jingting Wang
NCNaima Covassin
Naima Covassin
TDTianxin Dai
Tianxin Dai
ZFZhengyang Fan
Zhengyang Fan
PYPatiguli Yisilamu
Patiguli Yisilamu
JXJiang Xie
Jiang Xie

8 May 2016 in Journal of Applied Clinical Medical Physics
Verified
Journal Article
Open access
PDF file
JWJiazhou Wang
Jiazhou Wang
XJXiance Jin
Xiance Jin
JPJiayuan Peng
Jiayuan Peng
JXJiang Xie
Jiang Xie
JCJunchao Chen
Junchao Chen
WHWeigang Hu
Weigang Hu
This study investigated the impact of beam complexities on planar quality assurance and plan quality robustness by introducing MLC errors in intensity‐modulate radiation therapy. Forty patients' planar quality assurance (QA) plans were enrolled in this study, including 20 dynamic MLC (DMLC) IMRT plans and 20 static MLC (SMLC) IMRT plans. The total beam numbers were 150 and 160 for DMLC and SMLC, respectively. Six different magnitudes of MLC errors were introduced to these beams. Gamma pass rates were calculated by comparing error‐free fluence and error‐induced fluence. The plan quality variation was acquired by comparing PTV coverage. Eight complexity scores were calculated based on the beam fluence and the MLC sequence. The complexity scores include fractal dimension, monitor unit, modulation index, fluence map complexity, weighted average of field area, weighted average of field perimeter, and small aperture ratio . The Spearman's rank correlation coefficient was calculated to analyze the correlation between these scores and gamma pass rate and plan quality variation. For planar QA, the most significant complexity index was fractal dimension for DMLC and weighted segment area for SMLC at low magnitude MLC error. For plan quality, the most significant complexity index was weighted segment perimeter for DMLC and weighted segment area for SMLC at low magnitude MLC error. The sensitivity of planar QA was weakly associated with the field complexity with low magnitude MLC error, but the plan quality robustness was associated with beam complexity. Plans with simple beams were more robust to MLC error.PACS number(s): 87.55

22 February 2024 in Sleep and Breathing
Verified
Journal Article
Open access
PDF file
HZHehe Zhang
Hehe Zhang
HLHonghong Liu
Honghong Liu
YJYuanni Jiao
Yuanni Jiao
JZJing Zhang
Jing Zhang
NCNaima Covassin
Naima Covassin
JXJiang Xie
Jiang Xie
Purpose: Sleep apnea-specific hypoxic burden (SASHB) is a polysomnographic metric that comprehensively measures the degree of nocturnal desaturation caused by obstructive sleep apnea. This research was conducted to elucidate the relationship between SASHB and coronary artery disease (CAD) severity. Methods: We carried out a prospective study of hospitalized patients with CAD of unstable angina who were expected to undergo invasive coronary angiography at Beijing Anzhen Hospital from February to September 2023. SASHB values were calculated using a self-programmed C + + program. Multivariable logistic regression analysis was applied to identify the association between SASHB and the prevalence of severe CAD, documented by the Gensini Score, and the SYNTAX (Synergy between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery) Score. Results: This study enrolled 137 patients with a median age of 59 years, 96 (70.1%) of whom were male. A total of 125 (91.2%) patients had coronary stenosis of ≥ 50% in at least one location. Patients with a high SASHB of ≥ 18% min/h had a significantly higher Gensini Score (32.0 vs. 18.5, P = 0.002) and SYNTAX Score (14.0 vs. 7.0, P = 0.002) than those with a low SASHB. After adjusting for multiple covariates, a high SASHB was significantly associated with the prevalence of severe CAD, determined by a Gensini Score ≥ 21 (OR 2.67, P = 0.008) or a SYNTAX Score > 22 (OR 4.03, P = 0.016). Conclusion: Our findings revealed a robust and independent association between SASHB and CAD severity in patients with unstable angina, highlighting the potential value of SASHB as a predictor of risk and a target for interventions aimed at preventing cardiovascular diseases. Trial registration: Chinese Clinical Trial Registry No. ChiCTR2300067991 on February 2, 2023.