Nonlinear histogram binning for quantitative analysis of lung tissue fibrosis in high-resolution CT data

Author(s):  
Vanessa A. Zavaletta ◽  
Brian J. Bartholmai ◽  
Richard A. Robb
2021 ◽  
Vol 11 (2) ◽  
pp. 360-369
Author(s):  
Caide Xie ◽  
Tianjing Zhao ◽  
Liang Fang

In order to explore the high-resolution CT findings of leukemia pulmonary infiltration and chemotherapy outcomes and the in vitro study of human lung tissue, this paper selected a total of 120 clinically or surgically confirmed leukemia patients at the designated hospital of the study from December 2014 to December 2018, and divided them into three groups according to the random number table method: pulmonary infiltration group, chemotherapy outcome group and in vitro study group, with 40 cases in each group. The CT imaging features of the three groups of patients were observed and summarized respectively; the anomalous evaluation indexes of pulmonary parenchyma tissue abnormalities included CT halo sign, air crescent sign, lung segment consolidation, bronchial vascular bundle and nodules; the CT abnormalities such as thickening of the interlobular septum, bronchial interstitial thickening, nodular shadow, ground glassy change, and air cavity consolidation were selected as observation indicators. The results show that all cases have multiple solid nodules or multiple plaques, varying in number, size and distribution, in which 13 cases have multiple patchy shadows, 9 cases have multiple knots and 11 cases have multiple plaques and nodules; lesions are mainly distributed along the bronchial vessels in 21 cases, and 9 cases are along the center of the small leaves and 5 cases are randomly distributed; there are 13 cases that have frosted glass, in which 4 cases with pleural effusion, 9 cases with mold infection, show multiple patchy shadows with halo signs and layered mold balls. In summary, leukemia pulmonary infiltration has polymorphic high-resolution CT findings and chemotherapy outcomes; high-resolution CT imaging and in vitro studies of human lung tissue have important clinical and pathological research value for leukemia infiltration and chemotherapy outcome. The results of this study provide a reference for the further researches on high-resolution CT findings of pulmonary infiltration and chemotherapy outcomes and in vitro studies of human lung tissue.


2002 ◽  
Author(s):  
Rafael Wiemker ◽  
Patrick Rogalla ◽  
Andre Zwartkruis ◽  
Thomas Blaffert

2004 ◽  
Vol 1268 ◽  
pp. 983-988 ◽  
Author(s):  
Atilla P Kiraly ◽  
Shaked Laks ◽  
Michael Macari ◽  
Bernhard Geiger ◽  
Luca Bogoni ◽  
...  

2020 ◽  
Author(s):  
Jie Zhou ◽  
Jie Cao ◽  
Ziyun Xiang ◽  
Hanshou Cai ◽  
Yuhui Zhu ◽  
...  

Abstract The aim of this study was to retrospectively analyze chest thin-section high-resolution CT (HRCT) findings for 32 patients with Corona Virus Disease 2019 (COVID-19) and clarify the correlation between CT data and laboratory results. 30 patients presented with abnormal initial CT scans. Of 30 patients, COVID-19 showed the involvement of bilateral lungs in 24 (80%), involvement of more than two lobes in 24 (80%), ground-glass opacities without consolidation in 27 (90%), ground-glass opacities with consolidation in 23 (76.7%), opacities with irregular intralobular lines in 26 (86.7%), opacities with round morphology in 25 (83.3%), and peripheral distribution in 30 (100%). Pleural effusion or mediastinal lymphadenopathy was relatively rare manifestations. Rapidly progression of the disease demonstrated by increasing number and range of ground glass opacities and appearance of consolidations at follow-up CT images in two patients. The CT lung severity score and No. of lobes involved were negatively correlated with lymphocyte count(r=-0.363, P=0.041; r=-0.367, P=0.039, respectively). Chest HRCT of COVID-19 predominantly manifests multiple, round, ground glass opacities with irregular intralobular lines, and peripheral distribution of bilateral lungs. HRCT is a potential tool for early screening, assessing progress, and predicting disease severity of COVID-19.Authors Jie Zhou and Jie Cao contributed equally to this work and are co-first authors.


Sign in / Sign up

Export Citation Format

Share Document