[Lung Imaging Reporting and Data System (Lung-RADS) in Radiology: Strengths, Weaknesses and Improvement].

Gong Yong Jin
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引用次数: 1

Abstract

In 2019, the American College of Radiology announced Lung CT Screening Reporting & Data System (Lung-RADS) 1.1 to reduce lung cancer false positivity compared to that of Lung-RADS 1.0 for effective national lung cancer screening, and in December 2022, announced the new Lung-RADS 1.1, Lung-RADS® 2022 improvement. The Lung-RADS® 2022 measures the nodule size to the first decimal place compared to that of the Lung-RADS 1.0, to category 2 until the juxtapleural nodule size is < 10 mm, increases the size criterion of the ground glass nodule to 30 mm in category 2, and changes categories 4B and 4X to extremely suspicious. The category was divided according to the airway nodules location and shape or wall thickness of atypical pulmonary cysts. Herein, to help radiologists understand the Lung-RADS® 2022, this review will describe its advantages, disadvantages, and future improvements.

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[肺影像学报告和数据系统(Lung- rads)在放射学中的优势、劣势和改进]。
2019年,美国放射学会发布了肺CT筛查报告和数据系统(Lung- rads) 1.1,与Lung- rads 1.0相比,该系统可减少肺癌假阳性,用于有效的全国肺癌筛查,并于2022年12月宣布了新的Lung- rads 1.1, Lung- rads®2022改进。与Lung-RADS®1.0相比,Lung-RADS®2022测量结节大小到小十进制的第一位,直到胸膜旁结节大小< 10 mm,直到2级,将磨砂玻璃结节的大小标准提高到30 mm,并将4B和4X类别改为非常可疑。根据气道结节的位置和非典型肺囊肿的形状或壁厚进行分类。在此,为了帮助放射科医生了解Lung-RADS®2022,本综述将描述其优点,缺点和未来的改进。
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来源期刊
Journal of the Korean Society of Radiology
Journal of the Korean Society of Radiology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
0.40
自引率
0.00%
发文量
98
审稿时长
16 weeks
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