Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04957030 |
Other study ID # |
M2017217 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
September 1, 2017 |
Est. completion date |
December 14, 2018 |
Study information
Verified date |
June 2021 |
Source |
Peking University Third Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Therefore, the purpose of this study was to investigate whether ULDCT with ASiR-V can be used
for the detection and diameter measurement of pulmonary nodules at an extremely low dose
comparable to those associated with plain-film chest radiography. Furthermore, mixed-effects
logistic regression analysis was used to determine independent predictors for the sensitivity
of pulmonary nodule detection to explore the application range of ULDCT in Chinese patients.
Description:
Lung cancer is the most common cancer in the world and characterized by the highest mortality
rate. In 2016, 224000 new cases of lung cancer were reported in the United States, 60% of
which were in the advanced stage. Compared to the overall 5-year survival rate of 18% for
lung cancer, the 5-year survival rate for non-small cell lung cancer can be obviously
improved to 80% with appropriate treatment in the early stage. Therefore, we believe lung
cancer screening in the early stage to be significant. The National Lung Screening Trial in
the United States has shown a relative risk reduction in death from lung cancer by 20% with
low-dose computed tomography (LDCT) screening compared to that associated with plain-film
chest radiography. The maximum radiation dose of LDCT recommended by guidelines is 3 mSv for
small people(BMI≤30 kg/m2), which is far higher than that recommended for plain-film chest
radiography, 0.03 to 0.1 mSv. In addition, a large number of indeterminate nodules need to be
examined by follow-up evaluations with repeated LDCT to monitor for changes in diameter,
which could result in an increase in the cumulative radiation dose that cannot be ignored.
Hence, lung cancer screening with ultralow-dose CT (ULDCT) has attracted great attention from
radiologists. In recent times, several strategies have been proposed to reduce the dose of
ionizing radiation, including modification of tube potential and tube current and use of
iterative reconstruction (IR). Reducing tube potential and tube current alone impairs image
quality and lowers accuracies for radiologists. However, IR can obviously improve the image
quality and reduce the noise at the same radiation exposure level, allowing for further
reduction of the radiation dose.Recently, a new IR technique adaptive statistical iterative
reconstruction-V (ASiR-V, GE Healthcare, USA) was developed. ASiR-V can increase noise
reduction performance over the original IR technique even at lower doses and it has been
widely applied in phantom and clinical studies. To the best of our knowledge, no data are
available on ULDCT with ASiR-V for research on pulmonary nodules. Therefore, the purpose of
this study was to investigate whether ULDCT with ASiR-V can be used for the detection and
diameter measurement of pulmonary nodules at an extremely low dose comparable to those
associated with plain-film chest radiography. Furthermore, mixed-effects logistic regression
analysis was used to determine independent predictors for the sensitivity of pulmonary nodule
detection to explore the application range of ULDCT in Chinese patients.