Effects of Iterative Reconstruction Algorithms on Computer-assisted Detection (CAD) Software for Lung Nodules in Ultra-low-dose CT for Lung Cancer Screening

This study aimed to evaluate the effects of iterative reconstruction (IR) algorithms on computer-assisted detection (CAD) software for lung nodules in ultra-low-dose computed tomography (ULD-CT) for lung cancer screening. We selected 85 subjects who underwent both a low-dose CT (LD-CT) scan and an a...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Academic radiology Ročník 24; číslo 2; s. 124 - 130
Hlavní autori: Nomura, Yukihiro, Higaki, Toru, Fujita, Masayo, Miki, Soichiro, Awaya, Yoshikazu, Nakanishi, Toshio, Yoshikawa, Takeharu, Hayashi, Naoto, Awai, Kazuo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 01.02.2017
Predmet:
Aged
Algorithms
Cone-Beam Computed Tomography
Early Detection of Cancer - methods
Female
Humans
Lung Neoplasms - diagnostic imaging
Male
Middle Aged
Multiple Pulmonary Nodules - diagnostic imaging
Radiation Dosage
Radiographic Image Interpretation, Computer-Assisted - methods
Radionuclide Imaging
Software
Tomography, X-Ray Computed - methods
Computer-assisted detection (CAD)
iterative reconstruction
ultra-low-dose CT
lung nodule
ISSN:1878-4046
On-line prístup:Zistit podrobnosti o prístupe
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:This study aimed to evaluate the effects of iterative reconstruction (IR) algorithms on computer-assisted detection (CAD) software for lung nodules in ultra-low-dose computed tomography (ULD-CT) for lung cancer screening. We selected 85 subjects who underwent both a low-dose CT (LD-CT) scan and an additional ULD-CT scan in our lung cancer screening program for high-risk populations. The LD-CT scans were reconstructed with filtered back projection (FBP; LD-FBP). The ULD-CT scans were reconstructed with FBP (ULD-FBP), adaptive iterative dose reduction 3D (AIDR 3D; ULD-AIDR 3D), and forward projected model-based IR solution (FIRST; ULD-FIRST). CAD software for lung nodules was applied to each image dataset, and the performance of the CAD software was compared among the different IR algorithms. The mean volume CT dose indexes were 3.02 mGy (LD-CT) and 0.30 mGy (ULD-CT). For overall nodules, the sensitivities of CAD software at 3.0 false positives per case were 78.7% (LD-FBP), 9.3% (ULD-FBP), 69.4% (ULD-AIDR 3D), and 77.8% (ULD-FIRST). Statistical analysis showed that the sensitivities of ULD-AIDR 3D and ULD-FIRST were significantly higher than that of ULD-FBP (P < .001). The performance of CAD software in ULD-CT was improved by using IR algorithms. In particular, the performance of CAD in ULD-FIRST was almost equivalent to that in LD-FBP.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Undefined-1
ObjectType-Feature-3
content type line 23
ISSN:1878-4046
DOI:10.1016/j.acra.2016.09.023