Literature DB >> 21625182

Predictive value of F-18 FDG PET/CT for malignant pleural effusion in non-small cell lung cancer patients.

Bum Soo Kim1, In Joo Kim, Seong-Jang Kim, Kyoungjune Pak, Keunyoung Kim.   

Abstract

BACKGROUND: The purpose of this study was to evaluate the accuracy of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (F-18 FDG PET/CT) imaging in the detection of malignant pleural effusion and pleural metastasis in patients with non-small cell lung cancer (NSCLC).
MATERIALS AND METHODS: We analyzed F-18 FDG PET/CT images of 33 lung cancer patients with pleural effusion. We used 2 categorical parameters to differentiate malignant from benign pleural effusion: i) quantitative parameters using maximum standardized uptake value (SUVmax of effusion and pleura, and the following ratios: lesion to aorta (L/Ao), to cerebellum (L/Cbl), to liver (L/Liv), to nonlesion (L/NL), and to primary lung cancer (L/Prim)) and ii) various parameters determined by PET and CT scans (uptake at the pleural region, Hounsfield unit, size, and morphology of any solid abnormality).
RESULTS: Malignant pleural effusions showed significantly higher L/Prim values than benign pleural effusions. The presence of pleural abnormality on CT and pleural region uptake on PET images were found to be significantly more frequent in cases of malignant pleural disease. These parameters could differentiate malignant and benign pleural effusion according to receiver operating characteristic (ROC) analyses. There were no statistical differences between L/Prim, pleural abnormality on CT, and pleural region uptake on PET images. Abnormal pleural region uptake on PET images was the most accurate parameter identifying malignant pleural effusion by logistic regression analysis.
CONCLUSIONS: Our results suggest that F-18 FDG PET/CT can be used as a reliable and noninvasive method for the differentiation of malignant and benign pleural disease in patients with NSCLC.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21625182     DOI: 10.1159/000328793

Source DB:  PubMed          Journal:  Onkologie        ISSN: 0378-584X


  8 in total

Review 1.  Role of positron emission tomography-computed tomography in non-small cell lung cancer.

Authors:  Pankaj Kumar Garg; Saurabh Kumar Singh; Gaurav Prakash; Ashish Jakhetiya; Durgatosh Pandey
Journal:  World J Methodol       Date:  2016-03-26

2.  Comparison of cytology, chest computed and positron emission tomography findings in malignant pleural effusion from lung cancer.

Authors:  Clement Brun; Pierre Gay; Michele Cottier; Georgia Karpathiou; Arnaud Patoir; Oliviet Tiffet; Fabrice-Guy Barral; Jean-Michel Vergnon; Marios E Froudarakis
Journal:  J Thorac Dis       Date:  2018-12       Impact factor: 2.895

3.  Transoesophageal endoscopic ultrasound-guided fine-needle aspiration of pleural effusion for the staging of non-small cell lung cancer.

Authors:  Filippo Lococo; Alfredo Cesario; Fabia Attili; Marco Chiappetta; Giovanni Leuzzi; Guido Costamagna; Pierluigi Granone; Alberto Larghi
Journal:  Interact Cardiovasc Thorac Surg       Date:  2013-04-24

4.  [Clinical role of F-18 FDG PET/CT in differentiating malignant and benign pleural effusion in patients with lung cancer].

Authors:  Riqiang Liao; Xuening Yang; Siyun Wang; Qing Zhou; Qiang Nie; Wenzhao Zhong; Song Dong; Yilong Wu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2012-11

5.  A Case of Pneumonia Masking Pleural Malignancy.

Authors:  Qian Xu; Juanjuan Tian; Lin Huang; Qilin Zhong; Yulin Xu; Linlin Liu; Jian Shi
Journal:  Onco Targets Ther       Date:  2022-07-02       Impact factor: 4.345

6.  FDG PET/CT in the Staging of Lung Cancer.

Authors:  Mohsen Farsad
Journal:  Curr Radiopharm       Date:  2020

7.  Diagnostic Ability of FDG-PET/CT in the Detection of Malignant Pleural Effusion.

Authors:  Reiko Nakajima; Koichiro Abe; Shuji Sakai
Journal:  Medicine (Baltimore)       Date:  2015-07       Impact factor: 1.817

8.  The Role of 18F-FDG PET/CT Integrated Imaging in Distinguishing Malignant from Benign Pleural Effusion.

Authors:  Yajuan Sun; Hongjuan Yu; Jingquan Ma; Peiou Lu
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

  8 in total

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