Ground glass opacities: Imaging, pathology, and gene mutations

Sun, Fenghao; Xi, Junjie; Zhan, Cheng; Yang, Xiaodong; Wang, Lin; Shi, Yu; Jiang, Wei; Wang, Qun

doi:10.1016/j.jtcvs.2018.02.110

Cited by 35 publications

(33 citation statements)

References 34 publications

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“…The possible relationships between the radiological features of GGO and clinicopathological features in lung adenocarcinoma have drawn much attention. Our previous work indicated that the CT characteristics of GGO were significantly correlated with histological subtype and gene mutation rate in lung adenocarcinoma [ 6 ]. With respect to prognosis, studies also showed that solid components were a negative factor in lung adenocarcinoma [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Solid component ratio influences prognosis of GGO-featured IA stage invasive lung adenocarcinoma

et al. 2020

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Background The computed tomography (CT) characteristic of ground glass opacity (GGO) were shown to be associated with clinical significance in lung adenocarcinoma. We evaluated the prognostic value of the solid component ratio of GGO IA invasive lung adenocarcinoma. Methods We retrospectively analyzed the records of GGO IA patients who received surgical resection from April 2012 to December 2015. The solid component ratio was calculated based on thin-slice CT scans. Baseline features were compared stratified by the ratio. Cox proportional hazard models and survival analyses were adopted to explore potential prognostic value regarding overall survival (OS) and disease-free survival (DFS). Results Four hundred fifteen patients were included. The higher ratio was significantly associated with larger tumor diameter, pathological subtypes and choice of surgical type. There was a significantly worse DFS with a > 50% ratio. The subgroups of 0% and ≤ 50% ratio showed close survival curves of DFS. Similar trends were observed in OS. Multivariate analyses revealed that the ratio was a significant predictor for DFS, but not for OS. No significant prognostic difference was observed between lobectomy and limited resections. Conclusion A higher solid component ratio may help to predict a significantly worse prognosis of GGO IA lung adenocarcinoma.

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Section: Introductionmentioning

confidence: 99%

Solid component ratio influences prognosis of GGO-featured IA stage invasive lung adenocarcinoma

et al. 2020

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“…Recent data showed that early stage LUAD increased from 6.25% in 1999 to 30.54% in 2012 . More and more malignant pulmonary nodules (PNs) characterized as ground‐glass opacities (GGOs) have been detected by computed tomography (CT) scan screening …”

Section: Introductionmentioning

confidence: 99%

Decoding tumor mutation burden and driver mutations in early stage lung adenocarcinoma using CT‐based radiomics signature

Wang

Cheng

et al. 2019

Thoracic Cancer

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Background Tumor mutation burden (TMB) is an important determinant and biomarker for response of targeted therapy and prognosis in patients with lung cancer. The present study aimed to determine whether radiomics signature could non‐invasively predict the TMB status and driver mutations in patients with resectable early stage lung adenocarcinoma (LUAD). Methods A total of 61pulmonary nodules (PNs) from 51 patients post‐operatively diagnosed LUAD were enrolled for analysis. Two datasets were divided according to two‐thirds of patients from different commercial Comprehensive Genomic Profiling (CGP) panels: a training cohort including 41 PNs and a testing cohort including rest 20PNs. We sequenced all tumor specimens and paired blood cells using next generation sequencing (NGS), so as to detect TMB status and somatic mutations. We collected 718 quantitative 3D radiomics features extracted from segmented volumes of each PNs and 78 clinical and pathological features retrieved from medical records as well. Support vector machine methods were performed to establish the predictive model. Results We established an efficient fusion‐positive tumor prediction model that predicts TMB status and EGFR/TP53 mutations of early stage LUAD. The radiomics signature yielded a median AUC value of 0.606, 0.604, and 0.586 respectively. Combining radiomics with the clinical information can further improve the prediction performance, which the median AUC values are 0.671 for TMB, 0.697 and 0.656 for EGFR/TP53 respectively. Conclusion It is feasible and effective to facilitate TMB and somatic driver mutations prediction by using the radiomics signature and NGS data in early stage LUAD.

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“…[ 23 – 25 , 32 ] The results have shown that the tumor solid component is correlated more with invasive pathologic characteristic and worse survival. [ 23 , 26 ] However, most studies are based on thinner slice thickness[ 26 , 27 , 35 ], and image characteristics change as slice thickness varies. There has been no consensus regarding CT slice thickness for non small cell lung cancer imaging.…”

Section: Discussionmentioning

confidence: 99%

Correlation between image characteristics and pathologic findings in non small cell lung cancer patients after anatomic resection

Wan

Huang

et al. 2018

PLoS ONE

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IntroductionTumor characteristics in computed tomography (CT) are correlated to pathologic presentation and survival. However, most studies have been based on thin slice thickness CT while lymph node metastatic pattern has remained unclear. The aim of this study was to analyze the correlation between image characteristics under 5 mm slice thickness and pathology findings in non small lung cancer patients who have received curative resection.Materials and methodsFrom January 2010 to May 2014, 440 patients who underwent curative resection were included and medical records were reviewed retrospectively. The tumor size and consolidation tumor ratio were simultaneously evaluated and measured by a physician, a thoracic surgeon, and a radiologist. The correlation between image and pathology characteristics and its survival impact was analyzed.ResultsTumor sizes, as measured by CT and by pathologic measurement were highly coincident. (p < 0.001) GGO predominant lesions were correlated to well-differentiated adenocarcinoma, (p< 0.001), and less tumor necrosis (p<0.0001), lymphocyte infiltration (p = 0.0042) and tumor purity (p <0.0001). In addition, less risk of visceral pleura (p < 0.0001) and angiolymphatic invasion, and fewer metastases to N1 lymph node (p = 0.004) involvement were identified. No lymph node metastasis (0/12) was identified in sub-centimeter pure GGO lesion. The consolidation tumor ratio could be used to differentiate patients’ survival and excellent 5-year overall survival was identified in pure GGO lesion cases.ConclusionNo lymph node metastasis was identified in sub-centimeter pure GGO lesion. The consolidation tumor ratio could be used to differentiate patients’ disease status and overall survival, while excellent 5-year overall survival was identified in cases with pure GGO lesion.

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Ground glass opacities: Imaging, pathology, and gene mutations

Cited by 35 publications

References 34 publications

Solid component ratio influences prognosis of GGO-featured IA stage invasive lung adenocarcinoma

Solid component ratio influences prognosis of GGO-featured IA stage invasive lung adenocarcinoma

Decoding tumor mutation burden and driver mutations in early stage lung adenocarcinoma using CT‐based radiomics signature

Correlation between image characteristics and pathologic findings in non small cell lung cancer patients after anatomic resection

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