Lung Nodule Detection by Microdose CT Versus Chest Radiography (Standard and Dual-Energy Subtracted)

Abstract

Microdose CT is better than the combination of chest radiography and dual-energy subtraction for the detection of solid nodules between 5 and 12 mm at a lower dose level of 0.13 mSv. Soft-tissue kernels allow better sensitivities. These preliminary results indicate that microdose CT has the potential to replace conventional chest radiography for lung nodule detection.

Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging

“…Based on data from previous pilot studies, investigating the optimum convolution kernel in ultralow-dose acquisitions [20], radiologists achieved a significantly higher detection rate looking at the 1 mm axial image stack reconstructed with a I30 convolution kernel compared to the I70 convolution kernel normally used in standard CT, while the CAD software performed best with a I50 convolution kernel.…”

Generation of realistic virtual nodules based on three‐dimensional spatial resolution in lung computed tomography: A pilot phantom study

“…This method potentially overcomes the limitations of previous simulation techniques for pulmonary nodules. [4][5][6][7][8][9][10][11][13][14][15][16][17][18]21 Our proposed method includes direct deconvolution by division of spatial frequencies. This analysis is essentially the same as a common image deblurring (or restoration).…”

“…Three types of simulation techniques are currently in use. The first technique is utilization of physical nodules contained in a lung phantom . Although this technique has been widely used, it is difficult to build a large set of different physical phantoms that will realistically cover all variations in the anatomical structures and nodule characteristics within an entire patient population.…”

“…These pulmonary nodule-simulating techniques have been widely applied not only in investigations of the influence of the radiation dose but also in various studies that were difficult to perform with human subjects. [5][6][7][8][9][10][11] In addition, Huo et al 12 discussed the importance and necessity of quality assurance of computer-aided detection/diagnosis systems used for lung cancer CT screening; for this purpose, they suggested the application of simulated nodules. The development of techniques with which to simulate pulmonary nodules has become an important research interest.…”

“…The first technique is utilization of physical nodules contained in a lung phantom. [5][6][7][8][9] Although this technique has been widely used, it is difficult to build a large set of different physical phantoms that will realistically cover all variations in the anatomical structures and nodule characteristics within an entire patient population. In the second technique, the nodules segmented from one patient's images are digitally inserted into another patient's images.…”