A preliminary evaluation study of applying a deep learning image reconstruction algorithm in low-kilovolt scanning of upper abdomen.

Objective: To investigate feasibility of applying deep learning image reconstruction (DLIR) algorithm in a low-kilovolt enhanced scan of the upper abdomen.

Methods: A total of 64 patients (BMI<28) are selected for the enhanced upper abdomen scan and divided evenly into two groups. The tube voltages in Group A are 100kV in arterial phase and 80kV in venous phase, while tube voltages are 120kV during two phases in Group B.

[An exploration of induction methodology and experimental duration of Graves disease animal model].

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.

[Effect of perfusion CT scan on hepatic hemodynamic changes in rats with liver micrometastases].

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.