Diagnostic accuracy of low-dose and ultra-low-dose CT in detection of chest pathology: a systematic review

医学 诊断准确性 支气管扩张 放射科 核医学 气胸 内科学
作者
Maria Tækker,Björg Kristjánsdóttir,Ole Graumann,Christian B. Laursen,Pia Iben Pietersen
出处
期刊:Clinical Imaging [Elsevier]
卷期号:74: 139-148 被引量:28
标识
DOI:10.1016/j.clinimag.2020.12.041
摘要

Abstract

Purpose

Studies have evaluated imaging modalities with a lower radiation dose than standard-dose CT (SD-CT) for chest examination. This systematic review aimed to summarize evidence on diagnostic accuracy of these modalities – low-dose and ultra-low-dose CT (LD- and ULD-CT) – for chest pathology.

Method

Ovid-MEDLINE, Ovid-EMBASE and the Cochrane Library were systematically searched April 29th–30th, 2019 and screened by two reviewers. Studies on diagnostic accuracy were included if they defined their index tests as 'LD-CT', 'Reduced-dose CT' or 'ULD-CT' and had SD-CT as reference standard. Risk of bias was evaluated on study level using the Quality Assessment of Diagnostic Accuracy Studies-2. A narrative synthesis was conducted to compare the diagnostic accuracy measurements.

Results

Of the 4257 studies identified, 18 were eligible for inclusion. SD-CT (3.17 ± 1.47 mSv) was used as reference standard in all studies to evaluate diagnostic accuracy of LD- (1.22 ± 0.34 mSv) and ULD-CT (0.22 ± 0.05 mSv), respectively. LD-CT had high sensitivities for detection of bronchiectasis (82–96%), honeycomb (75–100%), and varying sensitivities for nodules (63–99%) and ground glass opacities (GGO) (77–91%). ULD-CT had high sensitivities for GGO (93–100%), pneumothorax (100%), consolidations (90–100%), and varying sensitivities for nodules (60–100%) and emphysema (65–90%).

Conclusion

The included studies found LD-CT to have high diagnostic accuracy in detection of honeycombing and bronchiectasis and ULD-CT to have high diagnostic accuracy for pneumothorax, consolidations and GGO. Summarizing evidence on diagnostic accuracy of LD- and ULD-CT for other chest pathology was not possible due to varying outcome measures, lack of precision estimates and heterogeneous study design and methodology.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
快乐慕灵完成签到,获得积分10
1秒前
小朱完成签到 ,获得积分10
1秒前
小纸人完成签到,获得积分10
2秒前
小猪坨完成签到,获得积分10
2秒前
辛勤的灵薇完成签到,获得积分10
3秒前
林子觽完成签到,获得积分10
3秒前
舒洛完成签到,获得积分10
4秒前
e394282438完成签到,获得积分10
4秒前
5秒前
Awar完成签到,获得积分10
6秒前
W.X.完成签到,获得积分10
7秒前
7秒前
所所应助pH7采纳,获得10
7秒前
11完成签到 ,获得积分10
8秒前
learnerZ_2023完成签到,获得积分10
8秒前
的呀呀发布了新的文献求助10
9秒前
荀代灵完成签到,获得积分10
9秒前
波仔完成签到,获得积分10
9秒前
体贴的颜完成签到,获得积分10
10秒前
怡然猎豹完成签到,获得积分10
10秒前
qupei完成签到 ,获得积分10
11秒前
Jonsnow发布了新的文献求助30
12秒前
高山流水完成签到,获得积分10
12秒前
12秒前
波仔发布了新的文献求助10
12秒前
beibei完成签到,获得积分10
12秒前
地狱跳跳虎完成签到 ,获得积分10
12秒前
龙飞凤舞完成签到,获得积分10
13秒前
wxh完成签到,获得积分10
13秒前
77完成签到 ,获得积分10
13秒前
霜降完成签到,获得积分10
13秒前
lcs完成签到,获得积分10
14秒前
不可思宇完成签到,获得积分10
14秒前
茹果完成签到,获得积分10
14秒前
不想上班了完成签到,获得积分10
15秒前
贝肯尼完成签到,获得积分10
15秒前
言言言言完成签到,获得积分10
15秒前
10完成签到 ,获得积分10
16秒前
huangJP发布了新的文献求助10
16秒前
17秒前
高分求助中
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3121786
求助须知:如何正确求助?哪些是违规求助? 2772169
关于积分的说明 7711621
捐赠科研通 2427558
什么是DOI,文献DOI怎么找? 1289401
科研通“疑难数据库(出版商)”最低求助积分说明 621451
版权声明 600169