scholarly journals Pure ground-glass opacity on chest computed tomography: predictive factors for invasive adenocarcinoma

2016 ◽  
Vol 8 (7) ◽  
pp. 1561-1570 ◽  
Author(s):  
Youngkyu Moon ◽  
Sook Whan Sung ◽  
Kyo Young Lee ◽  
Sung Bo Sim ◽  
Jae Kil Park
Keyword(s):  
Computed Tomography ◽  
Predictive Factors ◽  
Ground Glass Opacity ◽  
Ground Glass ◽  
Invasive Adenocarcinoma ◽  
Chest Computed Tomography

Features Based on Thin-section Computed Tomography Identify the Typeof lung Adenocarcinoma

2020 ◽  
Author(s):  
Zhiqiang Li ◽  
Hongwei Zheng ◽  
Shanshan Liu ◽  
Xinhua Wang ◽  
Lei Xiao ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Adenocarcinoma ◽  
Thin Section ◽  
Ground Glass Opacity ◽  
Smoking History ◽  
Ground Glass ◽  
Quantitative Aspect ◽  
Adenocarcinoma In Situ ◽  
Invasive Adenocarcinoma ◽  
Pleural Invasion

Abstract Background: To investigate whether thin-section computed tomography (TSCT) features may efficiently guide the invasiveness basedclassification of lung adenocarcinoma. Methods: Totally, 316 lung adenocarcinoma patients (from 2011-2015) were divided into three groups: 56 adenocarcinoma in situ (AIS), 98 minimally invasive adenocarcinoma (MIA), and 162 invasive adenocarcinoma (IAC) according their pathological results. Their TSCT features, including nodule pattern, shape, pleural invasion, solid proportion, border, margin, vascular convergence, air bronchograms, vacuole sign, pleural indentation, diameter, solid diameter, and CT values of ground-glass nodules (GGN) were analyzed. Pearson’s chi-square test, Fisher’s exact test and One-way ANOVA were adopted tocomparebetweengroups. Receiver operating characteristic (ROC) analysis wereperformedto assess its value for prediction and diagnosis. Results: Patients with IAC were significantly elder than those in AIS or MIA group,and more MIA patients had a smoking history than AIS and IAC. No recurrence happened in the AIS and MIA groups, while 4.3% recurrences were confirmed in the IAC group. As for TSCT variables, we found AIS group showed dominantly higher 91.07%PGGN pattern and 87.50% round/oval nodules than that in MIA and IAC group. In contrast, MIA group showed more cases with undefined border and vascular convergence than AIS and IAC group. Importantly, IAC group uniquely showed higher frequency of pleural invasion compared with MIA and AIS group. The majority of patients (82.1%) in IAC group showed ≥ 50% solid proportion. We found diameter and solid diameter of the lesions were notably larger in the IAC group compared with AIS and MIA groupin quantitative aspect. In addition, for MGGNs, the CT values of ground-glass opacity (GGO) and ground-glass opacity solid portion (GGO-solid) were both higher in the IAC group than AIS and MIA. Finally, we also observed that smooth margin took a dominant proportion in the AIS group while most cases in the IAC group had a lobulate margin. Patients in MIA and IAC group shared higher level of air bronchograms and vacuole signs than AIS group. Conclusions: The unique features in different groups identified by TSCT had diagnosis value for lung adenocarcinoma.

scholarly journals Features Based on Thin-section Computed Tomography Identify the Type of lung Adenocarcinoma

2020 ◽  
Author(s):  
Zhiqiang Li ◽  
Hongwei Zheng ◽  
Shanshan Liu ◽  
Xinhua Wang ◽  
Lei Xiao ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Adenocarcinoma ◽  
Thin Section ◽  
Ground Glass Opacity ◽  
Smoking History ◽  
Ground Glass ◽  
Quantitative Aspect ◽  
Adenocarcinoma In Situ ◽  
Invasive Adenocarcinoma ◽  
Pleural Invasion

Abstract Background: To investigate whether thin-section computed tomography (TSCT) features may efficiently guide the invasiveness basedclassification of lung adenocarcinoma. Methods: Totally, 316 lung adenocarcinoma patients (from 2011-2015) were divided into three groups: 56 adenocarcinoma in situ (AIS), 98 minimally invasive adenocarcinoma (MIA), and 162 invasive adenocarcinoma (IAC) according their pathological results. Their TSCT features, including nodule pattern, shape, pleural invasion, solid proportion, border, margin, vascular convergence, air bronchograms, vacuole sign, pleural indentation, diameter, solid diameter, and CT values of ground-glass nodules (GGN) were analyzed. Pearson’s chi-square test, Fisher’s exact test and One-way ANOVA were adopted tocomparebetweengroups. Receiver operating characteristic (ROC) analysis wereperformedto assess its value for prediction and diagnosis. Results: Patients with IAC were significantly elder than those in AIS or MIA group,and more MIA patients had a smoking history than AIS and IAC. No recurrence happened in the AIS and MIA groups, while 4.3% recurrences were confirmed in the IAC group. As for TSCT variables, we found AIS group showed dominantly higher 91.07%PGGN pattern and 87.50% round/oval nodules than that in MIA and IAC group. In contrast, MIA group showed more cases with undefined border and vascular convergence than AIS and IAC group. Importantly, IAC group uniquely showed higher frequency of pleural invasion compared with MIA and AIS group. The majority of patients (82.1%) in IAC group showed ≥ 50% solid proportion. We found diameter and solid diameter of the lesions were notably larger in the IAC group compared with AIS and MIA groupin quantitative aspect. In addition, for MGGNs, the CT values of ground-glass opacity (GGO) and ground-glass opacity solid portion (GGO-solid) were both higher in the IAC group than AIS and MIA. Finally, we also observed that smooth margin took a dominant proportion in the AIS group while most cases in the IAC group had a lobulate margin. Patients in MIA and IAC group shared higher level of air bronchograms and vacuole signs than AIS group. Conclusions: The unique features in different groups identified by TSCT had diagnosis value for lung adenocarcinoma.

Chest Computed Tomography Findings in a Case Series of Coronavirus Disease 2019 (COVID-19) Patients at Siriraj Hospital

2021 ◽  
Vol 104 (5) ◽  
pp. 866-871
Keyword(s):  
Computed Tomography ◽  
Medical Records ◽  
Case Series ◽  
Ground Glass Opacity ◽  
Chest Ct ◽  
Ground Glass ◽  
Chest Computed Tomography ◽  
Ct Findings ◽  
Siriraj Hospital ◽  
Chest Ct Scan

Background: Recent evidence has demonstrated the high sensitivity of chest computed tomography (CT) in coronavirus disease 2019 (COVID-19) case detection. However, considering the cost and infection control issues, the experience of chest CT for COVID-19 diagnosis in Thailand is still limited. Objective: To present the characteristics of chest CT findings in COVID-19 patients at Siriraj Hospital and compare them with other reports. Materials and Methods: The authors retrospectively reviewed the COVID-19 patients’ medical records between April and May 2020. All cases with the presence of chest CT performed during admission were recruited. Clinical data were retrieved from the patients’ medical records. All chest imaging results were reported by consensus between the authors. Results: From 103 cases, four cases with a chest CT scan during the admission were recruited. Consistent with previous reports, the common chest CT findings included a ground-glass opacity and consolidation with bilateral involvement. A round-shaped ground-glass opacity or consolidation was evidenced in half of the cases. The only case with the presence of chest CT scan, which was done 77 days after the onset of COVID-19 symptoms, revealed resolution of the abnormal findings. Conclusion: Chest CT findings in four COVID-19 cases at Siriraj Hospital are consistent with previous reports. Common findings include bilateral ground-glass opacity and consolidation. Keywords: COVID-19, SARS-CoV-2, Computed tomography, Case series

scholarly journals Differential diagnoses of acute ground-glass opacity in chest computed tomography: pictorial essay

2021 ◽  
Vol 19 ◽  
Author(s):  
Marina Justi Rosa de Matos ◽  
Marcela Emer Egypto Rosa ◽  
Vanessa Mizubuti Brito ◽  
Lucas Tadashi Wada Amaral ◽  
Gabriel Laverdi Beraldo ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ground Glass Opacity ◽  
Differential Diagnoses ◽  
Ground Glass ◽  
Chest Computed Tomography ◽  
Pictorial Essay

scholarly journals Chest Computed Tomography Findings in Asymptomatic Patients with COVID-19

2020 ◽  
Author(s):  
Min Cheol Chang ◽  
Jian Hur ◽  
Donghwi Park
Keyword(s):  
Computed Tomography ◽  
Respiratory System ◽  
Ground Glass Opacity ◽  
Chest Ct ◽  
Ground Glass ◽  
Effective Management ◽  
Radiographic Findings ◽  
Chest Computed Tomography ◽  
Asymptomatic Patients ◽  
The Right

Background: Little is known about the damage to the respiratory system in asymptomatic patients with coronavirus disease (COVID-19). Objective: Herein, we evaluated the findings of chest computed tomography (CT) and radiography in patients with COVID-19 who were asymptomatic. Methods: We retrospectively investigated patients with a confirmed diagnosis of COVID-19 but who did not show any symptoms. Among the 139 patients with COVID-19 who were hospitalized, 10 (7.2%) were asymptomatic. Their chest CT and radiographic findings were analyzed. Results: In the results, all patients (100%) had ground glass opacity (GGO) on chest CT. Further, the GGO lesions were predominantly distributed peripherally and posteriorly in all patients. In 9 (90%) patients, the GGO lesions were combined with reticular opacity. Air-bronchogram due to bronchiolectasis surrounded by GGO was observed in 8 patients (80%). Additionally, the lung lesions were dominant on the right side in all patients. Conclusions: In conclusion, considering our results that the lung is affected in asymptomatic patients, it will be necessary to extend the indications of COVID-19 testing for effective management of COVID-19 during the pandemic.

Sign in / Sign up

Export Citation Format

Share Document