scholarly journals A comparison of ultra-high-resolution CT target scan versus conventional CT target reconstruction in the evaluation of ground-glass-nodule-like lung adenocarcinoma

2019 ◽  
Vol 9 (6) ◽  
pp. 1087-1094 ◽  
Author(s):  
Yanyan Zhu ◽  
Dailun Hou ◽  
Meihong Lan ◽  
Xiaoli Sun ◽  
Xiangxing Ma
Keyword(s):  
High Resolution ◽  
Lung Adenocarcinoma ◽  
Ground Glass ◽  
High Resolution Ct ◽  
Ground Glass Nodule ◽  
Conventional Ct

Lung Adenocarcinoma Manifesting as Ground-Glass Opacity Nodules 3 cm or Smaller: Evaluation With Combined High-Resolution CT and PET/CT Modality

2019 ◽  
Vol 213 (5) ◽  
pp. W236-W245 ◽  
Author(s):  
Rong Niu ◽  
Xiaonan Shao ◽  
Xiaoliang Shao ◽  
Jianfeng Wang ◽  
Zhenxing Jiang ◽  
...  
Keyword(s):  
High Resolution ◽  
Lung Adenocarcinoma ◽  
Ground Glass Opacity ◽  
Ground Glass ◽  
High Resolution Ct ◽  
Pet Ct

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

2019 ◽  
Vol 30 (4) ◽  
pp. 1847-1855 ◽  
Author(s):  
Jing Gong ◽  
Jiyu Liu ◽  
Wen Hao ◽  
Shengdong Nie ◽  
Bin Zheng ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Ct Images ◽  
Ground Glass ◽  
Learning Network ◽  
Residual Learning ◽  
Ground Glass Nodule

Multiple Focal Pure Ground-Glass Opacities on High-Resolution CT Images: Clinical Significance in Patients With Lung Cancer

2010 ◽  
Vol 195 (2) ◽  
pp. W131-W138 ◽  
Author(s):  
Shin Tsutsui ◽  
Kazuto Ashizawa ◽  
Kazunori Minami ◽  
Tsutomu Tagawa ◽  
Takeshi Nagayasu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
High Resolution ◽  
Clinical Significance ◽  
Ct Images ◽  
Ground Glass ◽  
High Resolution Ct

scholarly journals High-resolution CT Analyses of the Relationship between Small Lung Adenocarcinoma and Surrounding Vessels.

Haigan ◽  
2000 ◽  
Vol 40 (7) ◽  
pp. 743-749
Author(s):  
Kunihiko Shimizu ◽  
Kouzou Yamada ◽  
Humihiro Oshita ◽  
Ikuo Nomura ◽  
Kazumasa Noda ◽  
...  
Keyword(s):  
High Resolution ◽  
Lung Adenocarcinoma ◽  
High Resolution Ct ◽  
The Relationship

scholarly journals Diagnostic value and imaging features of multi-detector CT in lung adenocarcinoma with ground glass nodule patients

2020 ◽  
Vol 20 (1) ◽  
pp. 693-698
Author(s):  
Jun Lu ◽  
Haitao Tang ◽  
Xinguo Yang ◽  
Lei Liu ◽  
Minxia Pang
Keyword(s):  
Lung Adenocarcinoma ◽  
Diagnostic Value ◽  
Ground Glass ◽  
Imaging Features ◽  
Ground Glass Nodule

scholarly journals A Comparative Study of Target Reconstruction of Ultra-High-Resolution CT for Patients with Corona-Virus Disease 2019 (COVID-19)

2020 ◽  
Author(s):  
Shao-mao Lv ◽  
Yu Lin ◽  
Jiang-he Kang ◽  
Shao-yin Duan ◽  
Wei-guo Zhang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
High Resolution ◽  
Blood Vessels ◽  
Virus Disease ◽  
Signal To Noise Ratio ◽  
Ground Glass ◽  
High Resolution Ct ◽  
Interlobular Septum ◽  
Corona Virus ◽  
The Difference

AbstractBackgroundThe corona-virus disease 2019 (COVID-19) pandemic has caused a serious public health risk. Compared with conventional high-resolution CT (C-HRCT, matrix 512), ultra-high resolution CT (U-HRCT, matrix 1024) can increase the effective pixel per unit volume by about 4 times. Our study is to evaluate the value of target reconstruction of U-HRCT in the accurate diagnosis of COVID-19.MethodsA total of 13 COVID-19 cases, 44 cases of other pneumonias, and 6 cases of ground-glass nodules were retrospectively analyzed. The data were categorized into groups A (C-HRCT) and B (U-HRCT), following which iDose4-3 and iDose4-5 were used for target reconstruction, respectively. CT value, noise, and signal-to-noise ratio (SNR) in different reconstructed images were measured. Two senior imaging doctors scored the image quality and the structure of the lesions on a 5-point scale. Chi-square test, variance analysis, and binarylogistic regression analysis were used for statistical analysis.ResultsU-HRCT image can reduce noise and improve SNR with an increase of the iterative reconstruction level. The SNR of U-HRCT image was lower than that of the C-HRCT image of the same iDose4level, and the noise of U-HRCT was higher than that of C-HRCT image; the difference was statistically significant (P< 0.05). Logistic regression analysis showed thatperipleural distribution, thickening of blood vessels and interlobular septum, and crazy-paving pattern were independent indictors of the COVID-19 on U-HRCT. U-HRCT was superior to C-HRCT in showing the blood vessels, bronchial wall, and interlobular septum in the ground-glass opacities; the difference was statistically significant (P < 0.05).ConclusionsPeripleural distribution, thickening of blood vessels and interlobular septum, and crazy-paving pattern on U-HRCT are favorable signs for COVID-19. U-HRCT is superior to C-HRCT in displaying the blood vessels, bronchial walls, and interlobular septum for evaluating COVID-19.

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