Juan Chen

Dr. Juan Chen

Beijing Hospital, Beijing, China

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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1 July 2019 in Journal of Stroke and Cerebrovascular Diseases
Verified
Journal Article
Closed access
RCRuoyao Cao
Ruoyao Cao
PQPeng Qi
Peng Qi
YLYinhong Liu
Yinhong Liu
XMXinxin Ma
Xinxin Ma
ZSZhengyin Shen
Zhengyin Shen
JCJuan Chen
Juan Chen

1 May 2020 in Academic Radiology
Verified
Journal Article
Closed access
RCRuoyao Cao
Ruoyao Cao
YJYun Jiang
Yun Jiang
JLJun Lu
Jun Lu
GWGuogeng Wu
Guogeng Wu
LZLei Zhang
Lei Zhang
JCJuan Chen
Juan Chen

23 December 2021 in Frontiers in Neurology
Verified
Journal Article
Open access
RCRuoyao Cao
Ruoyao Cao
PQPeng Qi
Peng Qi
YJYun Jiang
Yun Jiang
SHShen Hu
Shen Hu
GYGengfan Ye
Gengfan Ye
JCJuan Chen
Juan Chen
Objectives: To develop an efficient and quantitative assessment of collateral circulation on time maximum intensity projection CT angiography (tMIP CTA) in patients with acute ischemic stroke (AIS).Methods: Eighty-one AIS patients who underwent one-stop CTA-CT perfusion (CTP) from February 2016 to October 2020 were retrospectively reviewed. Single-phase CTA (sCTA) and tMIP CTA were developed from CTP data. Ischemic core (IC) volume, ischemic penumbra volume, and mismatch ratio were calculated. The Tan scale was used for the qualitative evaluation of collateral based on sCTA and tMIP CTA. Quantitative collateral circulation (CCq) parameters were calculated semi-automatically with software by the ratio of the vascular volume (V) on both hemispheres, including tMIP CTA VCCq and sCTA VCCq. Spearman correlation analysis was used to analyze the correlation of collateral-related parameters with final infarct volume (FIV). ROC and multivariable regression analysis were calculated to compare the significance of the above parameters in clinical outcome evaluation. The analysis time of the observers was also compared.Results: tMIP CTA VCCq (r = 0.61, p < 0.01), IC volume (r = 0.66, p < 0.01), Tan score on tMIP CTA (r = 0.52, p < 0.01) and mismatch ratio (r = 0.60, p < 0.01) showed moderate negative correlations with FIV. tMIP CTA VCCq showed the best prognostic value for clinical outcome (AUC = 0.93, p < 0.001), and was an independent predictive factor of clinical outcome (OR = 0.14, p = 0.009). There was no difference in analysis time of tMIP CTA VCCq among observers (p = 0.079).Conclusion: The quantitative evaluation of collateral circulation on tMIP CTA is associated with clinical outcomes in AIS patients with endovascular treatments.

24 March 2023 in Brain Sciences
Verified
Journal Article
Open access
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RCRuoyao Cao
Ruoyao Cao
YLYao Lu
Yao Lu
PQPeng Qi
Peng Qi
YWYanyan Wang
Yanyan Wang
HHHailong Hu
Hailong Hu
JCJuan Chen
Juan Chen
Purpose: The aim of this study was to verify the value of collateral circulation and B-type natriuretic peptide (BNP) in predicting clinical outcomes of patients with acute ischemic stroke (AIS) and their biomarker value for stroke subtypes before endovascular treatment (EVT). Patients and Methods: In this retrospective study, 182 patients who underwent EVT for unilateral anterior circulation large-vessel occlusion between March 2016 and January 2022 were analyzed. The modified collateral circulation scoring system on four-dimensional computed tomography angiography (4D CTA-CS) was used to assess collateral status, and stroke subtypes were determined according to the TOAST classification criteria. Patients were divided into good (mRS ≤ 2) and poor outcome (mRS > 2) groups based on their modified Rankin Scale (mRS) score at 3 months. Results: 4D CTA-CS was an independent predictor of the clinical outcome for all AIS patients (odds ratio = 0.253; 95% CI, 0.147–0.437; p < 0.001), CE stroke patients (odds ratio = 0.513; 95% CI, 0.280–0.939; p = 0.030), and LAA stroke patients (odds ratio = 0.148; 95% CI, 0.049–0.447; p = 0.001). The BNP was a biomarker for clinical outcome prediction in CE (odds ratio = 1.004; 95% CI, 1.001–1.008; p = 0.005) but not in LAA patients. Combined with BNP, 4D CTA-CS improved predictive values for clinical outcomes (p < 0.05). Conclusion: Collateral status and BNP could be used as independent predictors of clinical outcomes in AIS patients and could determine stroke subtypes (CE stroke or LAA stroke). In addition, the model of 4D CTA-CS combined with BNP was the most effective in predicting clinical outcomes compared with collateral status or BNP alone.