Jianping Xiang

Jianping Xiang


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 January 2016 in Journal of Korean Medical Science
Verified
Journal Article
Open access
PDF file
JXJianping Xiang
Jianping Xiang
SGShifeng Guo
Shifeng Guo
SJShuling Jiang
Shuling Jiang
YXYuelong Xu
Yuelong Xu
JLJiwei Li
Jiwei Li
JXJinyu Xiang
Jinyu Xiang
Xiang J, et al. J Korean Med Sci. 2016 May;31(5):688-694. https://doi.org/10.3346/jkms.2016.31.5.688

21 July 2018 in Journal of Translational Medicine
Verified
Journal Article
Open access
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XLXiaochang Leng
Xiaochang Leng
WYWang Yang
Wang Yang
JXJing Xu
Jing Xu
YJYeqing Jiang
Yeqing Jiang
XZXiaolong Zhang
Xiaolong Zhang
JXJianping Xiang
Jianping Xiang
In this study, we develop reliable and practical virtual coiling and stenting methods for intracranial aneurysm surgical planning. Since the purpose of deploying coils and stents is to provide device geometries for subsequent accurate post-treatment computational fluid dynamics analysis, we do not need to accurately capture all the details such as the stress and force distribution for the devices and vessel walls. Our philosophy for developing these methods is to balance accuracy and practicality. We consider the mechanical properties of the devices and recapitulate the clinical practice using a finite element method (FEM) approach. At the same time, we apply some simplifications for FEM modeling to make our methods efficient. For the virtual coiling, the coils are modeled as 3D Euler–Bernoulli beam elements, which is computationally efficient and provides good geometry representation. During the stent deployment process, the stent–catheter system is transformed according to the centerline of the parent vessel since the final configuration of the stent is not dependent of the deployment history. The aneurysm and vessel walls are assumed to be rigid and are fully constrained during the simulation. All stent–catheter system and coil–catheter system are prepared and packaged as a library which contains all types of stents, coils and catheters, which improves the efficiency of surgical planning process. The stent was delivered to the suitable position during the clinical treatment, achieving good expansion and apposition of the stent to the arterial wall. The coil was deployed into the aneurysm sac and deformed to different shapes because of the stored strain energy during coil package process and the direction of the microcatheter. The method which we develop here could become surgical planning for intracranial aneurysm treatment in the clinical workflow.

17 May 2022 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
JJJun Jiang
Jun Jiang
CLChenguang Li
Chenguang Li
YHYumeng Hu
Yumeng Hu
CLChangling Li
Changling Li
JHJingsong He
Jingsong He
JWJian’an Wang
Jian’an Wang

1 June 2023 in Quantitative Imaging in Medicine and Surgery
Verified
Journal Article
Open access
PDF file
YFYongzhen Fan
Yongzhen Fan
CLChenguang Li
Chenguang Li
YHYumeng Hu
Yumeng Hu
XHXiaorong Hu
Xiaorong Hu
SWShuang Wang
Shuang Wang
ZLZhibing Lu
Zhibing Lu
Original Article Angiography-based index of microcirculatory resistance (AccuIMR) for the assessment of microvascular dysfunction in acute coronary syndrome and chronic coronary syndrome Yongzhen Fan, Chenguang Li, Yumeng Hu, Xiaorong Hu, Shuang Wang, Jingsong He, Xiaochang Leng, Jianping Xiang, Zhibing Lu

1 November 2018 in World Neurosurgery
Verified
Journal Article
Closed access
WYWang Yang
Wang Yang
XLXiaochang Leng
Xiaochang Leng
XZXiaobin Zhou
Xiaobin Zhou
WLWenqiang Li
Wenqiang Li
ASAdnan H. Siddiqui
Adnan H. Siddiqui
JXJianping Xiang
Jianping Xiang

25 April 2023 in Journal of NeuroInterventional Surgery
Verified
Journal Article
Closed access
PDF file
PYPengfei Yang
Pengfei Yang
SWShu Wan
Shu Wan
JWJun Wang
Jun Wang
YHYumeng Hu
Yumeng Hu
NMNing Ma
Ning Ma
JLJian-Min Liu
Jian-Min Liu
Background: Intracranial atherosclerotic stenosis (ICAS) is one of the leading causes of ischemic stroke. Conventional anatomical analysis by CT angiography, MRI, or digital subtraction angiography can provide valuable information on the anatomical changes of stenosis; however, they are not sufficient to accurately evaluate the hemodynamic severity of ICAS. The goal of this study was to assess the diagnostic performance of the pressure ratio across intracranial stenoses (termed as fractional flow (FF)) derived from cerebral angiography for the diagnosis of hemodynamically significant ICAS defined by pressure wire-derived FF.Methods: This retrospective study represents a feasible and reliable method for calculating the FF from cerebral angiography (AccuFFicas). Patients (n=121) who had undergone wire-based measurement of FF and cerebral angiography were recruited. The accuracy of the computed pressure ratio was evaluated using wire-based FF as the reference standard.Results: The mean value of wire-based FF was 0.78±0.19, while the computed AccuFFicas had an average value of 0.79±0.18. Good correlation (Pearson’s correlation coefficientr=0.92, P<0.001) between AccuFFicas and FF was observed. Bland–Altman analysis showed that the mean difference between AccuFFicas and FF was −0.01±0.07, indicating good agreement. The area under the curve (AUC) of AccuFFicas in predicting FF≤0.70, FF≤0.75, and FF≤0.80 was 0.984, 0.986, and 0.962, respectively.Conclusion: Angiography-based FF computed from cerebral angiographic images could be an effective computational tool for evaluating the hemodynamic significance of ICAS.