Suppr超能文献

低剂量计算机断层扫描(低千伏峰值和毫安秒)下的图像质量与肺结节可检测性:一项模体研究

Image Quality and Pulmonary Nodule Detectability at Low-dose Computed Tomography (low kVp and mAs): A phantom study.

作者信息

Iranmakani Sepideh, Jahanshahi Amir Reza, Mehnati Parinaz, Mortezazadeh Tohid, Khezerloo Davood

机构信息

Department of Radiology, Faculty of Allied Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.

Department of Radiology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

J Med Signals Sens. 2021 Dec 28;12(1):64-68. doi: 10.4103/jmss.JMSS_65_20. eCollection 2022 Jan-Mar.

Abstract

BACKGROUND

Nowadays, there has been a growing demand for low-dose computed tomography (LDCT) protocols. CT has a critical role in the management of the diagnosis chain of pulmonary disease, especially in lung cancer screening. There have been introduced several dose reduction methods, however, most of them are time-consuming, intricate, and vendor-based strategies that are hardly used in clinics routinely. This study aims to evaluate the image quality and pulmonary nodule detectability of LDCT protocols that are feasible and easy implemented. Image quality was analyzed in a general quality control phantom (Gammex) and then in a manmade lung phantom with nodules-equivalent objects.

METHODS

This study was designed in a two steps, in the first step, a feasible low-dose lung CT protocol was selected with quality assessment of accreditation phantom image. In the second step, the selected low-dose protocol with an appropriate image quality was performed on a manmade lung phantom in which there were objects equivalent to the pulmonary nodule. Finally, image quality parameters of the phantom at the appropriate scan protocol were compared with the standard protocol.

RESULTS

A reduction of about 17% of kVp and 46% in tube current leads to dose reduction by about 70%. The contrast-to-noise ratio in the low-dose protocol remained almost unchanged. The signal-to-noise ratio in the low-dose protocol decreased by approximately 32%, and the noise level has increased by about 1.5 times. However, this reduction method hardly affected the detectability of nodules in man-made pulmonary phantom.

CONCLUSIONS

Here, we demonstrated that the LDCT scan has an insignificant effect on the perception of lung nodules. In this study, patient dose in lung CT was reduced by modifying of kVp and mAs about approximately 70%. Hence, to step in toward low-dose strategies in medical imaging clinics, using easy-implemented and feasible low-dose strategies may be helpful.

摘要

背景

如今,对低剂量计算机断层扫描(LDCT)方案的需求日益增长。CT在肺部疾病诊断链的管理中起着关键作用,尤其是在肺癌筛查方面。已经引入了几种剂量降低方法,然而,其中大多数都是耗时、复杂且基于供应商的策略,临床上很少常规使用。本研究旨在评估可行且易于实施的LDCT方案的图像质量和肺结节可检测性。首先在通用质量控制体模(Gammex)中分析图像质量,然后在带有等效结节物体的人造肺体模中进行分析。

方法

本研究分两步进行,第一步,选择一个可行的低剂量肺部CT方案,并对认证体模图像进行质量评估。第二步,在一个有人造肺体模上执行选定的具有适当图像质量的低剂量方案,该体模中有与肺结节等效的物体。最后,将适当扫描方案下体模的图像质量参数与标准方案进行比较。

结果

管电压降低约17%,管电流降低46%,导致剂量降低约70%。低剂量方案中的对比噪声比几乎保持不变。低剂量方案中的信噪比降低了约32%,噪声水平增加了约1.5倍。然而,这种降低方法几乎不影响人造肺体模中结节的可检测性。

结论

在此,我们证明了LDCT扫描对肺结节的检测影响不大。在本研究中,通过调整管电压和管电流,肺部CT的患者剂量降低了约70%。因此,为了在医学影像诊所迈向低剂量策略,采用易于实施且可行的低剂量策略可能会有所帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c82/8804592/2d17f034fb38/JMSS-12-64-g004.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验