Screening for lung cancer using sub-millisievert chest CT with iterative reconstruction algorithm: image quality and nodule detectability

• Published in: British journal of radiology Vol. 91; no. 1090; p. 20170658
• Main Authors: Zhang, Miao, Qi, Weiwei, Sun, Ye, Jiang, Yan, Liu, Xiaoyi, Hong, Nan
• Format: Journal Article
• Language: English
• Published: England The British Institute of Radiology 01.10.2018
• Subjects: Algorithms; Early Detection of Cancer - methods; Female; Humans; Lung Neoplasms - diagnostic imaging; Male; Mass Screening - methods; Middle Aged; Radiation Dosage; Radiographic Image Interpretation, Computer-Assisted - methods; Solitary Pulmonary Nodule - diagnostic imaging; The role of imaging in screening special feature: Full Paper; Tomography, X-Ray Computed - methods

To investigate the image quality and nodules detectability using ultra-low dose (ULD) protocol with iterative model reconstruction (IMR) algorithm when compared to routine low dose (LD) chest CT in lung cancer screening. Chest CT scans were acquired using a 256-slice scanner for 300 subjects. The sc...