scholarly journals Germline Predisposition and Copy Number Alteration in Pre-stage Lung Adenocarcinomas Presenting as Ground-Glass Nodules

2019 ◽  
Vol 9 ◽  
Author(s):  
Yijiu Ren ◽  
Shujun Huang ◽  
Chenyang Dai ◽  
Dong Xie ◽  
Larry Zheng ◽  
...  
Keyword(s):  
Copy Number ◽  
Copy Number Alteration ◽  
Ground Glass ◽  
Lung Adenocarcinomas ◽  
Ground Glass Nodules

scholarly journals Whole genome sequencing revealed microbiome in lung adenocarcinomas presented as ground-glass nodules

2019 ◽  
Vol 8 (3) ◽  
pp. 235-246 ◽  
Author(s):  
Yijiu Ren ◽  
Hang Su ◽  
Yunlang She ◽  
Chenyang Dai ◽  
Dong Xie ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Ground Glass ◽  
Whole Genome ◽  
Lung Adenocarcinomas ◽  
Ground Glass Nodules

scholarly journals Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wufei Chen ◽  
Ming Li ◽  
Dingbiao Mao ◽  
Xiaojun Ge ◽  
Jiaofeng Wang ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Predictive Performance ◽  
Ground Glass ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct ◽  
Validation Set ◽  
Lung Adenocarcinomas ◽  
Radiomics Signature ◽  
Ground Glass Nodules

AbstractControversy and challenges remain regarding the cognition of lung adenocarcinomas presented as subcentimeter ground glass nodules (GGNs). Postoperative lymphatic involvement or intrapulmonary metastasis is found in approximately 15% to 20% of these cases. This study aimed to develop and validate a radiomics signature to identify the invasiveness of lung adenocarcinoma appearing as subcentimeter ground glass nodules. We retrospectively enrolled 318 subcentimeter GGNs with histopathology-confirmed adenocarcinomas in situ (AIS), minimally invasive adenocarcinomas (MIA) and invasive adenocarcinomas (IAC). The radiomics features were extracted from manual segmentation based on contrast-enhanced CT (CECT) and non-contrast enhanced CT (NCECT) images after imaging preprocessing. The Lasso algorithm was applied to construct radiomics signatures. The predictive performance of radiomics models was evaluated by receiver operating characteristic (ROC) analysis. A radiographic-radiomics combined nomogram was developed to evaluate its clinical utility. The radiomics signature on CECT (AUC: 0.896 [95% CI 0.815–0.977]) performed better than the radiomics signature on NCECT data (AUC: 0.851[95% CI 0.712–0.989]) in the validation set. An individualized prediction nomogram was developed using radiomics model on CECT and radiographic model including type, shape and vascular change. The C index of the nomogram was 0.915 in the training set and 0.881 in the validation set, demonstrating good discrimination. Decision curve analysis (DCA) revealed that the proposed model was clinically useful. The radiomics signature built on CECT could provide additional benefit to promote the preoperative prediction of invasiveness in patients with subcentimeter lung adenocarcinomas.

scholarly journals Evaluation of the Radiomics Method for the Prediction of Atypical Adenomatous Hyperplasia in Patients With Subcentimeter Pulmonary Ground-Glass Nodules

2021 ◽  
Vol 11 ◽  
Author(s):  
Bin Wang ◽  
Preeti Hamal ◽  
Xue Meng ◽  
Ke Sun ◽  
Yang Yang ◽  
...  
Keyword(s):  
Prediction Model ◽  
Clinical Features ◽  
Discrimination Performance ◽  
Ground Glass ◽  
Atypical Adenomatous Hyperplasia ◽  
Adenomatous Hyperplasia ◽  
Model Based ◽  
Validation Set ◽  
Lung Adenocarcinomas ◽  
Ground Glass Nodules

ObjectivesWe aimed to develop a prediction model to distinguish atypical adenomatous hyperplasia (AAH) from early lung adenocarcinomas in patients with subcentimeter pulmonary ground-glass nodules (GGNs), which may help avoid aggressive surgical resection for patients with AAH.MethodsSurgically confirmed cases of AAH and lung adenocarcinomas manifesting as GGNs of less than 1 cm were retrospectively collected. A prediction model based on radiomics and clinical features identified from a training set of cases was built to differentiate AAH from lung adenocarcinomas and tested on a validation set.ResultsFour hundred and eighty-five eligible cases were included and randomly assigned to the training (n = 339) or the validation sets (n = 146). The developed radiomics prediction model showed good discrimination performance to distinguish AAH from adenocarcinomas in both the training and the validation sets, with, respectively, 84.1% and 82.2% of accuracy, and AUCs of 0.899 (95% CI: 0.867–0.931) and 0.881 (95% CI: 0.827–0.936).ConclusionThe prediction model based on radiomics and clinical features can help differentiate AAH from adenocarcinomas manifesting as subcentimeter GGNs and may prevent aggressive resection for AAH patients, while reserving this treatment for adenocarcinomas.

scholarly journals Comparative postoperative outcomes of GGN-dominant vs single lesion lung adenocarcinomas.

2020 ◽  
Author(s):  
Takamasa Hotta ◽  
Yukari Tsubata ◽  
Akari Tanino ◽  
Mika Nakao ◽  
Yoshihiro Amano ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Disease Free Survival ◽  
Asian Population ◽  
Ground Glass ◽  
Significant Extent ◽  
Free Survival ◽  
Lung Adenocarcinomas ◽  
Different Characteristics ◽  
Ground Glass Nodules

Abstract Background: Multiple synchronous ground glass nodules (GGNs) are known to be malignant, however, they tend to progress slowly. Multiple synchronous lesions in the same patient which show different characteristics must be treated individually.Methods: This was a retrospective review of 34 lung adenocarcinoma patients with multiple synchronous GGNs in an Asian population. One hundred twenty-seven single lung adenocarcinoma patients were included for comparison purposes. The follow-up period was 5 years for all patients. Results: The 5-year overall survival (OS) patients with multiple lesions did not differ from that of the patients with single lesions to a statistically significant extent (Single: 81.8% vs. Multiple: 88.2%, P=0.3602). Dominant tumors (DTs) with a ground glass component and consolidation were divided into three categories based on the consolidation-to-tumor ratio on radiological imaging. No significant differences were observed among the three DT categories. Twenty-four patients had unresected GGNs, while a progression of the unresected GGN occurred in 10 of these cases. The OS and disease-free survival (DFS) curves of patients with and without GGN progression did not differ to a statistically significant extent (OS: 80% vs. 92.9%, P=0.3870; DFS: 80% vs. 100%, P=0.0977).Conclusions: The outcomes were best predicted by the stage of the DT. After surgery patients require a careful follow-up because unresected GGNs may show progression. At the same time, the increase in residual lesions and the appearance of new GGNs were not related to OS. The management of such patients should be determined according to the DT with the worst prognosis.

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