Publications by authors named "Li-ru Xun"
Article Synopsis
- The study aims to assess the effectiveness of a deep learning image reconstruction (DLIR) algorithm for low-kilovolt enhanced scans of the upper abdomen across 64 patients with low BMI.
- Group A (100kV/80kV) utilized various reconstruction methods, including DLIR, while Group B (120kV) used ASIR-V40%, with image quality and noise measured across different organs and phases.
- Results show that DLIR-H and ASIR-V80% produced significantly better image quality and lower noise compared to other methods, with the FBP algorithm performing the worst.
[An exploration of induction methodology and experimental duration of Graves disease animal model].
Zhonghua Nei Ke Za Zhi
October 2012
Objective: To compare the efficacy of Graves disease animal models induced by thyroid stimulating hormone receptor (TSHR) plasmid DNA (pcDNA3.1-TSHR) and by TSHR A subunit recombinant adenovirus (Ad-TSHR289), and to investigate the influence of duration for preparing animal model induced by Ad-TSHR289 on Graves hyperthyroidism and its related indices.
Methods: The plasmid group and the adenovirus group were set up respectively.
Background & Objective: Hepatic metastases are common for patients with malignant tumors, especially for the gastrointestinal malignancies. Early diagnosis confers better prognosis. This study was designed to investigate the hepatic hemodynamic changes by multi-slice helical perfusion CT in rats with liver micrometastatases of Walker-256 tumor cells.
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