Comparison of the Ultra-low-dose Veo Algorithm With the Gold Standard Filtered Back Projection for Detecting Pulmonary Asbestos-related Conditions
Asbestos fibers were intensively used throughout the 20th century and remain prevalent in developing countries. However, asbestos exposure induces a variety of benign and malignant pleural and lung diseases. The most common asbestos-induced neoplasm is lung cancer. Moreover, thin-section computed tomography (CT) is more sensitive than a chest x-ray for detecting early asbestos-related conditions. Increased exposure to radiation underpins the consequences of cancer induction. However, reducing CT doses increases image noise from the filtered back projection (FBP) reconstruction. Strategies to reduce radiation exposure include the use of iterative reconstruction algorithms. A new algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA) decreases the image noise up to 70% compared with the gold standard FBP model. Moreover, Veo improves spatial resolution with excellent detection of low and high contrast objects from a CT Dose Index (CTDIvol) equal to 0.3 mGy.
The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos. Comparisons included radiation delivered and image quality.
研究概览
地位
详细说明
Asbestos-exposed workers will be recruited following referral to our radiology department for the evaluation of asbestos-related disease. CT examinations will be performed with a 64-slice CT system (Discovery CT 750HD; GE Healthcare, Milwaukee, WI) and will consist of two successive acquisitions. Each examination, the normal-dose (FBP acquisition) and ultra-low-dose (Veo acquisition) spiral CT, will be performed in supine position, on the entire thorax, at full inspiration and without contrast agent injection.
In order to perform the two acquisitions without increasing radiation, standard acquisition will be performed with the same kV with mA equal to patient's body weight minus 10. To conserve image quality, 60 mA will be the inferior limit. The other CT parameters will be rotation time 0.5 s and pitch 1.375. Image data will be reconstructed with FBP algorithm.
The Veo acquisition will be performed with constant CT parameters including: a tube voltage of 100 kV, a tube current of 20 mA, pitch of 0.984 and rotation time 0.4 s. Image data will be reconstructed with the Veo algorithm.
Each CT acquisition will be viewed independently by two experienced radiologists (2 to 7 years of experience). The low-dose images with Veo reconstruction will be interpreted before the standard CT and on separate weeks to minimize recall bias. Then, the more experienced radiologist will evaluate the detection and characterization of pleuroparenchymal abnormalities by a second and simultaneous reading of the Veo and FBP acquisitions. Because FBP images are benchmark practice, when a lesion will be found only on Veo images, it will be regarded as a false positive.
The following asbestos-related pleural and parenchymal abnormalities will be recorded as present or absent. Pleural abnormalities considered will be: pleural plaques, diffuse pleural thickening and pleural effusion.
CT features of asbestosis will include subpleural dots and branching opacities, curvilinear subpleural lines, areas of ground glass opacities, septal lines, reticulations and honeycombing.
Presence of nodules will also be recorded. We will note for each abnormality: localization (side, table position) and nature (non-solid, part-solid, solid or calcified).
研究类型
注册 (实际的)
阶段
- 第四阶段
联系人和位置
学习地点
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Clermont-Ferrand、法国、63003
- CHU clermont-ferrand
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
描述
Inclusion Criteria:
- asbestos-exposed workers
- ability to give a written informed consent
Exclusion Criteria:
- - previous history of cancer
- previous history of thoracic surgery
- other interstitial pathology known
学习计划
研究是如何设计的?
设计细节
- 主要用途:诊断
- 分配:随机化
- 介入模型:单组作业
- 屏蔽:单身的
武器和干预
参与者组/臂 |
干预/治疗 |
|---|---|
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实验性的:VeoTM
A new algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA) decreases the image noise up to 70% compared with the gold standard FBP model.
Moreover, Veo improves spatial resolution with excellent detection of low and high contrast objects from a CT Dose Index (CTDIvol) equal to 0.3 mGy
|
The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos.
Comparisons included radiation delivered and image quality.
|
|
其他:gold standard FBP model
The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos.
Comparisons included radiation delivered and image quality
|
The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos.
Comparisons included radiation delivered and image quality.
|
研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Pleural and parenchymal abnormalities
大体时间:at day 1
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The kappa coefficient will be used to measure agreement for categorical parameters and Pearson's correlation coefficient and Lin concordance correlation coefficient for quantitative data.
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at day 1
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Radiation dose
大体时间:at day 1
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The dose length product (DLP) will be recorded.
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at day 1
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Quality images assessment
大体时间:at day 1
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Respiratory artifacts will be graded on a three-point scale (1 = negligible, 2 = moderate, 3 = salient). Images noise will be studied in the axial and coronal planes. A similar scale will be used for subjective image quality in the mediastinum and parenchyma windows. Objective image noise (Standard Deviation) and average CT numbers (in Hounsfield's units) will be measured with circular regions of interest (ROI) on different anatomical levels, 10 mm in diameter. The signal to noise ratio (SNR) will also be calculated using the equation SNR = CT numbers / noise. |
at day 1
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合作者和调查者
调查人员
- 首席研究员:Frédéric Dutheil、University Hospital, Clermont-Ferrand
出版物和有用的链接
研究记录日期
研究主要日期
学习开始
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (估计的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
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