Literature DB >> 31714848

Role of PET/CT in Management of Early Lung Adenocarcinoma.

Xiaoliang Shao1, Rong Niu1, Zhenxing Jiang2, Xiaonan Shao1, Yuetao Wang1.   

Abstract

OBJECTIVE. The purpose of this study was to explore the value of FDG PET combined with high-resolution CT (HRCT) in predicting the pathologic subtypes and growth patterns of early lung adenocarcinoma. MATERIALS AND METHODS. A retrospective analysis was conducted on the PET/CT data on ground-glass nodules (GGNs) resected from patients with stage IA lung adenocarcinoma. The efficacy of PET maximum standardized uptake value (SUVmax) combined with HRCT signs in prediction of histopathologic subtype and growth pattern of lung adeno-carcinoma was evaluated. RESULTS. SUVmax was significantly higher in GGNs with invasive HRCT signs. The diameter of GGN (odds ratio, 1.660; p = 0.000) and the difference in attenuation value (odds ratio, 1.012; p = 0.011) between ground-glass components and adjacent lung tissues were independent predictors of FDG uptake by GGNs. SUVmax was higher in invasive adenocarcinoma than in adenocarcinoma in situ (AIS)-minimally invasive adenocarcinoma (MIA) (median SUVmax, 2.0 vs 1.1; p = 0.008). An SUVmax of 2.0 was the optimal cutoff value for differentiating invasive adenocarcinoma from AIS-MIA. Acinar-papillary adenocarcinoma had a higher SUVmax than lepidic adenocarcinoma (median SUVmax, 2.1 vs 1.3; p = 0.037). An SUVmax of 1.4 was the optimal cutoff value for differentiating the growth pattern of adenocarcinoma. Use of PET/CT with HRCT significantly improved efficacy for differentiating invasive adeno-carcinoma from AIS-MIA. However, use of HRCT cannot significantly improve the diagnostic efficacy of FDG PET in the evaluation of tumors with different growth patterns. CONCLUSION. FDG PET can be used to predict the histopathologic subtypes and growth patterns of early lung adenocarcinoma. Combined with HRCT, it has value for predicting invasive histopathologic subtypes but no significance for predicting invasive growth patterns.

Entities:  

Keywords:  PET; ground-glass opacity nodules; high-resolution CT; histopathologic subtype; lung adenocarcinoma

Mesh:

Substances:

Year:  2019        PMID: 31714848     DOI: 10.2214/AJR.19.21585

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  14 in total

1.  Relationships between SUVmax of lung adenocarcinoma and different T stages, histological grades and pathological subtypes: a retrospective cohort study in China.

Authors:  Xiaoyan Sun; Tianxiang Chen; Chun Xie; Liu Liu; Bei Lei; Lihua Wang; Maomei Ruan; Hui Yan; Qi Zhang; Cheng Chang; Wenhui Xie
Journal:  BMJ Open       Date:  2022-05-17       Impact factor: 3.006

2.  Biodistribution of andrographolide to assess the interior-exterior relationship between the lung and intestine using microPET.

Authors:  Qi Zhang; Qingxin Cui
Journal:  Thorac Cancer       Date:  2020-10-05       Impact factor: 3.500

3.  Investigating the association between ground-glass nodules glucose metabolism and the invasive growth pattern of early lung adenocarcinoma.

Authors:  Xiaoliang Shao; Xiaonan Shao; Rong Niu; Zhenxing Jiang; Mei Xu; Yuetao Wang
Journal:  Quant Imaging Med Surg       Date:  2021-08

4.  Establishment and verification of a prediction model based on clinical characteristics and positron emission tomography/computed tomography (PET/CT) parameters for distinguishing malignant from benign ground-glass nodules.

Authors:  Rong Niu; Xiaonan Shao; Xiaoliang Shao; Zhenxing Jiang; Jianfeng Wang; Yuetao Wang
Journal:  Quant Imaging Med Surg       Date:  2021-05

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Authors:  Tao Yang; Chihua Chen; Zhongyuanlong Chen
Journal:  BMC Pulm Med       Date:  2021-01-20       Impact factor: 3.317

6.  Association Between 18F-FDG PET/CT-Based SUV Index and Malignant Status of Persistent Ground-Glass Nodules.

Authors:  Rong Niu; Yuetao Wang; Xiaoliang Shao; Zhenxing Jiang; Jianfeng Wang; Xiaonan Shao
Journal:  Front Oncol       Date:  2021-03-24       Impact factor: 6.244

7.  Maximum Standardized Uptake Value of 18F-deoxyglucose PET Imaging Increases the Effectiveness of CT Radiomics in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules.

Authors:  Rong Niu; Jianxiong Gao; Xiaoliang Shao; Jianfeng Wang; Zhenxing Jiang; Yunmei Shi; Feifei Zhang; Yuetao Wang; Xiaonan Shao
Journal:  Front Oncol       Date:  2021-12-17       Impact factor: 6.244

8.  Relationship between 18F-FDG PET/CT Semi-Quantitative Parameters and International Association for the Study of Lung Cancer, American Thoracic Society/European Respiratory Society Classification in Lung Adenocarcinomas.

Authors:  Lihong Bu; Ning Tu; Ke Wang; Ying Zhou; Xinli Xie; Xingmin Han; Huiqin Lin; Hongyan Feng
Journal:  Korean J Radiol       Date:  2022-01       Impact factor: 3.500

9.  Machine learning-based screening of the diagnostic genes and their relationship with immune-cell infiltration in patients with lung adenocarcinoma.

Authors:  Shuying Wang; Qiong Wang; Bin Fan; Jiao Gong; Liping Sun; Bo Hu; Deqing Wang
Journal:  J Thorac Dis       Date:  2022-03       Impact factor: 2.895

10.  Verification of the eighth edition of the UICC-TNM classification on surgically resected lung adenocarcinoma: Comparison with previous classification in a local center.

Authors:  Hiroshi Minato; Kazuyoshi Katayanagi; Hiroshi Kurumaya; Nobuhiro Tanaka; Hideki Fujimori; Yoshio Tsunezuka; Takeshi Kobayashi
Journal:  Cancer Rep (Hoboken)       Date:  2021-06-24
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