Cargando…

Adaptive Statistical Iterative Reconstruction-Applied Ultra-Low-Dose CT with Radiography-Comparable Radiation Dose: Usefulness for Lung Nodule Detection

OBJECTIVE: To assess the performance of adaptive statistical iterative reconstruction (ASIR)-applied ultra-low-dose CT (ULDCT) in detecting small lung nodules. MATERIALS AND METHODS: Thirty patients underwent both ULDCT and standard dose CT (SCT). After determining the reference standard nodules, fi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yoon, Hyun Jung, Chung, Myung Jin, Hwang, Hye Sun, Moon, Jung Won, Lee, Kyung Soo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2015
Materias:	Thoracic Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559785/ https://www.ncbi.nlm.nih.gov/pubmed/26357505 http://dx.doi.org/10.3348/kjr.2015.16.5.1132

Ejemplares similares

Effect of Hybrid Kernel and Iterative Reconstruction on Objective and Subjective Analysis of Lung Nodule Calcification in Low-Dose Chest CT
por: Hong, Seul Gi, et al.
Publicado: (2018)

Accuracy of Model-Based Iterative Reconstruction for CT Volumetry of Part-Solid Nodules and Solid Nodules in Comparison with Filtered Back Projection and Hybrid Iterative Reconstruction at Various Dose Settings: An Anthropomorphic Chest Phantom Study
por: Kim, Seung Kwan, et al.
Publicado: (2019)

The Impact of Iterative Reconstruction in Low-Dose Computed Tomography on the Evaluation of Diffuse Interstitial Lung Disease
por: Lim, Hyun-ju, et al.
Publicado: (2016)

Nodule Classification on Low-Dose Unenhanced CT and Standard-Dose Enhanced CT: Inter-Protocol Agreement and Analysis of Interchangeability
por: Lee, Kyung Hee, et al.
Publicado: (2018)

Comparison of Filtered Back Projection, Hybrid Iterative Reconstruction, Model-Based Iterative Reconstruction, and Virtual Monoenergetic Reconstruction Images at Both Low- and Standard-Dose Settings in Measurement of Emphysema Volume and Airway Wall Thickness: A CT Phantom Study
por: Kim, Cherry, et al.
Publicado: (2018)

Quantitative Image Quality and Histogram-Based Evaluations of an Iterative Reconstruction Algorithm at Low-to-Ultralow Radiation Dose Levels: A Phantom Study in Chest CT
por: Lee, Ki Baek, et al.
Publicado: (2018)

Digital Tomosynthesis of the Chest: Comparison of Patient Exposure Dose and Image Quality between Standard Default Setting and Low Dose Setting
por: Hwang, Hye Sun, et al.
Publicado: (2013)

The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study
por: Ahn, Su Yeon, et al.
Publicado: (2018)

Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction
por: Sauter, Andreas, et al.
Publicado: (2016)

Dose and blending fraction quantification for adaptive statistical iterative reconstruction based on low‐contrast detectability in abdomen CT
por: Zhou, Yifang
Publicado: (2020)

Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise
por: Kim, Joo Hee, et al.
Publicado: (2021)

Applying a CT texture analysis model trained with deep‐learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis
por: Wang, Qingle, et al.
Publicado: (2022)

Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis
por: Yan, Chenggong, et al.
Publicado: (2021)

Broncho-Pleural Fistula with Hydropneumothorax at CT: Diagnostic Implications in Mycobacterium avium Complex Lung Disease with Pleural Involvement
por: Yoon, Hyun Jung, et al.
Publicado: (2016)

Image Quality and Radiation Dose in CT Venography Using Model-Based Iterative Reconstruction at 80 kVp versus Adaptive Statistical Iterative Reconstruction-V at 70 kVp
por: Park, Chankue, et al.
Publicado: (2019)

Cryoablation of a Small Pulmonary Nodule with Pure Ground-Glass Opacity: A Case Report
por: Kim, Kun Yung, et al.
Publicado: (2015)

Ultra‐low dose CT colonography with automatic tube current modulation and sinogram‐affirmed iterative reconstruction: Effects on radiation exposure and image quality
por: Cianci, Roberta, et al.
Publicado: (2018)

Impact of Model-Based Iterative Reconstruction on the Correlation between Computed Tomography Quantification of a Low Lung Attenuation Area and Airway Measurements and Pulmonary Function Test Results in Normal Subjects
por: Kim, Da Jung, et al.
Publicado: (2018)

Feasibility Study of Radiation Dose Reduction in Adult Female Pelvic CT Scan with Low Tube-Voltage and Adaptive Statistical Iterative Reconstruction
por: Wang, Xinlian, et al.
Publicado: (2015)

Diameter of the Solid Component in Subsolid Nodules on Low-Dose Unenhanced Chest Computed Tomography: Measurement Accuracy for the Prediction of Invasive Component in Lung Adenocarcinoma
por: Ahn, Hyungwoo, et al.
Publicado: (2018)

Model-based iterative reconstruction for reduction of radiation dose in abdominopelvic CT: comparison to adaptive statistical iterative reconstruction
por: Yasaka, Koichiro, et al.
Publicado: (2013)

Model-based iterative reconstruction and adaptive statistical iterative reconstruction: dose-reduced CT for detecting pancreatic calcification
por: Yasaka, Koichiro, et al.
Publicado: (2016)

Dose reduction in CT urography and vasculature phantom studies using model‐based iterative reconstruction
por: Page, Leland, et al.
Publicado: (2016)

CT Examinations for COVID-19: A Systematic Review of Protocols, Radiation Dose, and Numbers Needed to Diagnose and Predict
Publicado: (2021)

Digital Tomosynthesis for Evaluating Metastatic Lung Nodules: Nodule Visibility, Learning Curves, and Reading Times
por: Lee, Kyung Hee, et al.
Publicado: (2015)

Low-dose CT with adaptive statistical iterative reconstruction for evaluation of urinary stone
por: Li, Xiaohu, et al.
Publicado: (2018)

Performance evaluation of iterative reconstruction algorithms for achieving CT radiation dose reduction — a phantom study
por: Dodge, Cristina T., et al.
Publicado: (2016)

CARE Dose 4D combined with sinogram‐affirmed iterative reconstruction improved the image quality and reduced the radiation dose in low dose CT of the small intestine
por: Wang, Lin, et al.
Publicado: (2018)

Small Solitary Ground-Glass Nodule on CT as an Initial Manifestation of Coronavirus Disease 2019 (COVID-19) Pneumonia
por: Xia, Tianyi, et al.
Publicado: (2020)

Semi-Quantitative Analysis for Determining the Optimal Threshold Value on CT to Measure the Solid Portion of Pulmonary Subsolid Nodules
Publicado: (2021)

Detection of pulmonary nodules: a clinical study protocol to compare ultra-low dose chest CT and standard low-dose CT using ASIR-V
por: Ludwig, Marie, et al.
Publicado: (2019)

Effects of Expert-Determined Reference Standards in Evaluating the Diagnostic Performance of a Deep Learning Model: A Malignant Lung Nodule Detection Task on Chest Radiographs
por: Huh, Jung Eun, et al.
Publicado: (2023)

The Effect of Lung Volume on the Size and Volume of Pulmonary Subsolid Nodules on CT: Intraindividual Comparison between Total Lung Capacity and Tidal Volume
Publicado: (2021)

A pilot study using low-dose Spectral CT and ASIR (Adaptive Statistical Iterative Reconstruction) algorithm to diagnose solitary pulmonary nodules
por: Xiao, Huijuan, et al.
Publicado: (2015)

Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography
por: Chae, Kum Ju, et al.
Publicado: (2018)

A qualitative and quantitative analysis of radiation dose and image quality of computed tomography images using adaptive statistical iterative reconstruction
por: Hussain, Fahad Ahmed, et al.
Publicado: (2016)

Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features
por: Lo, P., et al.
Publicado: (2016)

Quantum Iterative Reconstruction for Low-Dose Ultra-High-Resolution Photon-Counting Detector CT of the Lung
por: Sartoretti, Thomas, et al.
Publicado: (2022)

Tree-in-Bud Pattern of Pulmonary Tuberculosis on Thin-Section CT: Pathological Implications
por: Im, Jung-Gi, et al.
Publicado: (2018)

Chest CT Features of Cystic Fibrosis in Korea: Comparison with Non-Cystic Fibrosis Diseases
por: Yang, So Yeon, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_n8oee7spifv6jkrg87vqq31bfi