Yarong Wang

Yarong Wang


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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7 September 2023 in Brain Sciences
Verified
Journal Article
Open access
PDF file
LWLei Wang
Lei Wang
YQYue Qin
Yue Qin
XLXiaoshi Li
Xiaoshi Li
XLXin LI
Xin LI
YLyuwei liu
yuwei liu
YWYarong Wang
Yarong Wang
This study investigates the impact of methadone maintenance treatment (MMT) on the brain glymphatic system (GS) in opioid addiction in China. A total of 51 male MMT patients, 48 demographically matched healthy controls (HCs), and 20 heroin dependents (HDs) were recruited for this study. The GS functioning was assessed using diffusion-tensor-imaging analysis along perivascular spaces (DTI-ALPS index) and the bilateral ALPS divergency (DivALPS). Group differences were analyzed utilizing ANOVA and two-sample t-tests. The relationship between DivALPS and relapse rate was explored using regression analysis. The DTI-ALPS index was significantly higher for the left-side brain than the right side in all three groups. There was a significant difference for the right side (p = 0.0098) between the groups. The MMT and HD groups showed significantly higher DTI-ALPS than the HC group (p = 0.018 and 0.016, respectively). The DivALPS varied significantly among the three groups (p = 0.04), with the HD group showing the lowest and the HC group the highest values. Significant negative relationships were found between relapse count, DivALPS (p < 0.0001, Exp(B) = 0.6047), and age (p < 0.0001, Exp(B) = 0.9142). The findings suggest that MMT may contribute to promoting brain GS recovery in heroin addicts, and modulation of the GS may serve as a potential biomarker for relapse risk, providing insights into novel therapeutic strategies.

25 October 2024 in European Journal of Radiology
Verified
Journal Article
Open access
XLXiao-Shi Li
Xiao-Shi Li
JGJi-Gang Geng
Ji-Gang Geng
YZYin-Hu Zhu
Yin-Hu Zhu
LLLi-Yao Liu
Li-Yao Liu
YQYan-Qiang Qiao
Yan-Qiang Qiao
YWYarong Wang
Yarong Wang
Objectives This study aimed to explore the feasibility of reducing contrast medium (CM) volume, improving image quality and diagnostic accuracy using variable helical pitch (VHP) scanning for patients with lower extremity arterial disease (LEAD). Materials and methods Eighty patients who underwent lower extremity CT angiography (CTA) were prospectively enrolled and randomly assigned to either the VHP group (n = 40) or the conventional group (n = 40). Quantitative parameters and qualitative scores were compared between the two groups. Additionally, out of these patients, 72 arteries from 18 patients had DSA as the reference standard, and the diagnostic accuracy for the degree of vessel stenosis was assessed and compared. Results In the VHP group, the contrast volume was significantly lower than in the conventional group (79.55 +/- 11.87 mL vs. 89.63 +/- 10.03 mL, p < 0.001), showing a reduction of 12.7 %. For all image quality characteristics, scores in VHP group were significantly superior to those in the conventional groups (all p < 0.05). Quantitative analysis revealed that images from the VHP group exhibited superior CT enhancement, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) in the anterior tibial arteries (ATA) and dorsali pedis arteries (DPA) compared to the conventional group (all p < 0.001). Moreover, segment-based analysis showed the VHP group had significantly higher positive predictive value (PPV) and accuracy than the conventional group (PPV: 100 % vs. 76.19 %, p = 0.01; accuracy: 100 % vs. 84.38 %, p = 0.01, respectively). Conclusions The implementation of the VHP protocol led to a 12.7 % decrease in contrast medium dosage compared to the conventional lower extremity CTA scanning protocol. Furthermore, it improved image quality and diagnostic accuracy, particularly for arteries below the knee.

12 November 2024 in European Journal of Radiology
Verified
Journal Article
Closed access
XLXiao-Shi Li
Xiao-Shi Li
JGJi-Gang Geng
Ji-Gang Geng
YZYin-Hu Zhu
Yin-Hu Zhu
LLLi-Yao Liu
Li-Yao Liu
YQYan Qiang Qiao
Yan Qiang Qiao
YWYarong Wang
Yarong Wang