Publications by authors named "Changde Li"

Purpose: To evaluate whether relative Hounsfield unit attenuation index (rHUAI) on contrast-enhanced computed tomography (CECT) can predict tumor response in advanced hepatocellular carcinoma (HCC) patients who received sequential combined treatment of immune checkpoint inhibitor (ICI) and anti-angiogenesis therapy.

Method: One hundred seventeen advanced HCC patients who underwent the sequential combined treatment in a tertiary hospital between March 2020 and December 2021 were allocated to prediction and validation cohorts (with a ratio of 2:1) based on the time of initial ICI treatment. rHUAI from the arterial to the portal-venous phase (rHU_ap) and from the portal-venous to the delayed phase (rHU_pd) was calculated.

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Trans-arterial chemoembolization (TACE) in combination with tyrosine kinase inhibitor (TKI) has been evidenced to improve outcomes in a portion of patients with hepatocellular carcinoma (HCC). Developing biomarkers to identify patients who might benefit from the combined treatment is needed. This study aims to investigate the efficacy of radiomics/deep learning features-based models in predicting short-term disease control and overall survival (OS) in HCC patients who received the combined treatment.

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Takayasu arteritis is a chronic inflammatory vasculitis affecting mainly the aorta and its branches. Stenosis and occlusion of the involved vessels usually develop; however, their dilation and aneurysmal formation are extremely rare. Although aneurysmal disease has been reported in adults with Takayasu arteritis, it is a rare entity in children.

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Bone is a dynamic self-healing organ and a continuous remodeling ensures the restoration of the bone structure and function over time. However, bone remodeling is not able to repair large traumatic injuries. Therefore, surgical interventions and bone substitutes are required.

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Background Cerebral aneurysm detection is a challenging task. Deep learning may become a supportive tool for more accurate interpretation. Purpose To develop a highly sensitive deep learning-based algorithm that assists in the detection of cerebral aneurysms on CT angiography images.

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Objective: To observe the effect of transplantation of embryonic stem cell (ES) on neurological functional recovery of injured spinal cord in adult mouse.

Methods: The ES cells were cultured and induced in vitro. Fifty C57/BL6J mice were made animal model of semi-cut mice of T9,10.

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