Effectiveness of Ultra-low-dose Chest CT With AI Based Denoising Solution

Utilization and Effectiveness of Ultra-low-dose Chest Computed Tomography Using Innovative CT Denoising Solution Based on Deep Learning Technology

The main objective of the study is to evaluate the detection rate of pulmonary conditions, percentage of ionizing radiation dose reduction, and state of image quality of ULDCT coupling with innovative vendor-neutral CT denoising solution based on deep learning technology.

Considering lung cancer-related public health challenges, a reliable lung cancer screening method for high-risk cohorts in Mongolia is needed. Thus, our study aims to assess the detection rate of pulmonary conditions, percentage of ionizing radiation dose reduction, and state of image quality of ULDCT coupling with artificial intelligence based CT denoising technique among various patient groups.

Inclusion Criteria:

• Patients aged over 18-year-old
• Patients undergoing CT Chest for all purpose

Exclusion Criteria:

• Age less than 18 years
• Any suspicion of pregnancy
• History of thoracic surgery or placement of the metallic device in the thorax
• An inability to hold respiration during CT