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肺癌筛查中的最新CT技术:方案与辐射剂量降低

Latest CT technologies in lung cancer screening: protocols and radiation dose reduction.

作者信息

Vonder Marleen, Dorrius Monique D, Vliegenthart Rozemarijn

机构信息

Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

出版信息

Transl Lung Cancer Res. 2021 Feb;10(2):1154-1164. doi: 10.21037/tlcr-20-808.

Abstract

The aim of this review is to provide clinicians and technicians with an overview of the development of CT protocols in lung cancer screening. CT protocols have evolved from pre-fixed settings in early lung cancer screening studies starting in 2004 towards automatic optimized settings in current international guidelines. The acquisition protocols of large lung cancer screening studies and guidelines are summarized. Radiation dose may vary considerably between CT protocols, but has reduced gradually over the years. Ultra-low dose acquisition can be achieved by applying latest dose reduction techniques. The use of low tube current or tin-filter in combination with iterative reconstruction allow to reduce the radiation dose to a submilliSievert level. However, one should be cautious in reducing the radiation dose to ultra-low dose settings since performed studies lacked generalizability. Continuous efforts are made by international radiology organizations to streamline the CT data acquisition and image quality assurance and to keep track of new developments in CT lung cancer screening. Examples like computer-aided diagnosis and radiomic feature extraction are discussed and current limitations are outlined. Deep learning-based solutions in post-processing of CT images are provided. Finally, future perspectives and recommendations are provided for lung cancer screening CT protocols.

摘要

本综述的目的是向临床医生和技术人员概述肺癌筛查中CT协议的发展情况。CT协议已从2004年开始的早期肺癌筛查研究中的固定设置发展到当前国际指南中的自动优化设置。总结了大型肺癌筛查研究和指南的采集协议。不同CT协议之间的辐射剂量可能有很大差异,但多年来已逐渐降低。应用最新的剂量降低技术可实现超低剂量采集。使用低管电流或锡滤过器结合迭代重建可将辐射剂量降低至毫西弗以下水平。然而,在将辐射剂量降低至超低剂量设置时应谨慎,因为已开展的研究缺乏普遍性。国际放射学组织不断努力简化CT数据采集和图像质量保证,并跟踪CT肺癌筛查的新进展。讨论了计算机辅助诊断和放射组学特征提取等示例,并概述了当前的局限性。提供了基于深度学习的CT图像后处理解决方案。最后,针对肺癌筛查CT协议给出了未来展望和建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31c9/7947397/3640b995f34d/tlcr-10-02-1154-f1.jpg

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