scholarly journals Correction: Preoperative Prediction of Ki-67 Labeling Index By Three-dimensional CT Image Parameters for Differential Diagnosis Of Ground-Glass Opacity (GGO)

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0211950
Author(s):  
Mingzheng Peng ◽  
Fei Peng ◽  
Chengzhong Zhang ◽  
Qingguo Wang ◽  
Zhao Li ◽  
...  
PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0129206 ◽  
Author(s):  
Mingzheng Peng ◽  
Fei Peng ◽  
Chengzhong Zhang ◽  
Qingguo Wang ◽  
Zhao Li ◽  
...  

2018 ◽  
Vol 27 (1) ◽  
pp. 45-48
Author(s):  
Shinsuke Uchida ◽  
Koji Tsuta ◽  
Masahiko Kusumoto ◽  
Kouya Shiraishi ◽  
Takashi Kohno ◽  
...  

Pulmonary collision tumors have been described as a special entity of synchronous multiple lung cancer. There have been no reports detailing the chronological changes in primary collision lung cancers on chest computed tomography. We report a case of ground-glass lung nodules gradually colliding with each other. The collision tumors of the lung were composed of minimally invasive adenocarcinoma and adenocarcinoma in situ with epidermal growth factor mutations. Immunohistochemically, the Ki-67 labeling indices were different in the 2 components. Ki-67 staining was useful to distinguish the 2 components. The 2 dominant ground-glass tumors grew slowly with radiologic and pathologic heterogeneity.


CHEST Journal ◽  
2007 ◽  
Vol 132 (3) ◽  
pp. 984-990 ◽  
Author(s):  
Koei Ikeda ◽  
Kazuo Awai ◽  
Takeshi Mori ◽  
Koichi Kawanaka ◽  
Yasuyuki Yamashita ◽  
...  

Chest Imaging ◽  
2019 ◽  
pp. 423-427
Author(s):  
Juliana Bueno

Ground-glass opacity (GGO) is defined at thin-section CT as abnormally increased lung density in which vascular and bronchial margins remain visible. This contrasts with consolidation in which those margins are obscured. In the setting of diffuse lung disease, GGO may be related to airspace filling, interstitial thickening or both. Pathologic processes manifesting as diffuse GGO have widely varied symptoms according to the etiology. The assessment of diffuse GGO is primarily achieved with HRCT. Helpful features in establishing a differential diagnosis include: chronicity, distribution of opacities and ancillary findings. Differential diagnosis of acute GGO includes infection, alveolar hemorrhage and pulmonary edema. Chronic GGO may be seen in hypersensitivity pneumonitis, organizing pneumonia, acute or chronic eosinophilic pneumonia, pulmonary alveolar proteinosis and desquamative interstitial pneumonia (DIP). GGO is a nonspecific HRCT pattern that should always be interpreted in light of acuity of symptoms, specific clinical presentation and laboratory results.


Author(s):  
Diletta Cozzi ◽  
Edoardo Cavigli ◽  
Chiara Moroni ◽  
Olga Smorchkova ◽  
Giulia Zantonelli ◽  
...  

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Chun-Jing Du ◽  
Jing-Yuan Liu ◽  
Hui Chen ◽  
Shuo Yan ◽  
Lin Pu ◽  
...  

Abstract Background Accurately differentiating pneumocystis from cytomegalovirus pneumonia is crucial for correct therapy selection in AIDS patients. Hence, the goal of this study was to compare the computerized tomography (CT) features of pneumocystis pneumonia and cytomegalovirus pneumonia in AIDS patients and identify clinical hallmarks to accurately distinguish these two pathologies. Methods A total of 112 AIDS patients (78 with pneumocystis pneumonia and 34 cytomegalovirus pneumonia) at Beijing Ditan Hospital from January 2017 to May 2019 were included in this study. Two experienced chest radiologists retrospectively reviewed CT images for 17 features including ground-glass opacity, consolidation, nodules, and halo sign. Binary logistic regression analyses were conducted to identify the significant parameters that distinguished pneumocystis pneumonia from cytomegalovirus pneumonia. Correlations were analyzed by Pearson or Spearman correlation analyses. Result were considered significant if P < 0.05. Results The presence of consolidation, halo signs, and nodules (all P < 0.05) were significantly more frequent in patients with cytomegalovirus pneumonia than in those with pneumocystis pneumonia. Small nodules (32.5% in cytomegalovirus pneumonia, 6.41% in pneumocystis pneumonia, P < 0.001) without perilymphatic distribution were particularly common in patients with cytomegalovirus pneumonia. Large nodules were not found in any of patients with cytomegalovirus pneumonia. The presence of ground-glass opacity, reticulation, and bronchial wall thickening (all P > 0.05) were common in both groups. Conclusions Analysis of consolidation, nodules, and halo signs may contribute to the differential diagnosis of pneumocystis pneumonia or cytomegalovirus pneumonia. However, some CT features considered typical in one or other diseases appear with similar frequency in both cohorts of AIDS patients. CT features are potentially useful for the differential diagnosis of pneumocystis pneumonia and cytomegalovirus pneumonia in AIDS patients.


2020 ◽  
Author(s):  
Chunjing Du ◽  
Jingyuan Liu ◽  
Hui Chen ◽  
Shuo Yan ◽  
Lin Pu ◽  
...  

Abstract Background: Accurately differentiating pneumocystis from cytomegalovirus pneumonia is crucial for correct therapy selection in AIDS patients. Hence, the goal of this study was to compare the computerized tomography (CT) features of pneumocystis pneumonia and cytomegalovirus pneumonia in AIDS patients and identify clinical hallmarks to accurately distinguish these two pathologies.Methods: A total of 112 AIDS patients (78 with pneumocystis pneumonia and 34 cytomegalovirus pneumonia) at Beijing Ditan Hospital from January 2017 to May 2019 were included in this study. Two experienced chest radiologists retrospectively reviewed CT images for 17 features including ground-glass opacity, consolidation, nodules, and halo sign. Significance was calculated by the chi-square (χ2) test. Binary logistic regression analyses were conducted to identify the significant parameters that distinguished pneumocystis pneumonia from cytomegalovirus pneumonia. Correlations were analyzed by Pearson or Spearman correlation analyses. Result were considered significant if P < 0.05.Results: The presence of consolidation, halo signs, and nodules (all P<0.05) were significantly more frequent in patients with cytomegalovirus pneumonia than in those with pneumocystis pneumonia. Small nodules (32.5% in cytomegalovirus pneumonia, 6.41% in pneumocystis pneumonia, P<0.001) without perilymphatic distribution were particularly common in patients with cytomegalovirus pneumonia. Large nodules were not found in any of patients with cytomegalovirus pneumonia. The presence of ground-glass opacity, reticulation, and bronchial wall thickening (all P > 0.05) were common in both groups. Conclusions: Analysis of consolidation, nodules, and halo signs may contribute to the differential diagnosis of pneumocystis pneumonia or cytomegalovirus pneumonia. However, some CT features considered typical in one or other diseases appear with similar frequency in both cohorts of AIDS patients. CT features are potentially useful for the differential diagnosis of pneumocystis pneumonia and cytomegalovirus pneumonia in AIDS patients. Add potential implications


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