Literature DB >> 31338654

The clinical value of F-18 FDG PET/CT in differentiating malignant from benign lesions in pneumoconiosis patients.

Eun Kyoung Choi1, Hye Lim Park2, Ie Ryung Yoo3, Seung Joon Kim4, Young Kyoon Kim4.   

Abstract

OBJECTIVES: We reviewed PET/CT findings of pneumoconiosis and determined the ability of PET/CT to differentiate lung cancer from progressive massive fibrosis (PMF), and metastatic lymph nodes (LNs) from underlying reactive LN hyperplasia.
METHODS: This was a retrospective study of patients with pneumoconiosis and suspected lung cancer. Maximum standardized uptake value (SUVmax), long- and short-axis diameters (DL and DS), ratio of DL to DS (DL/S), and Hounsfield unit (HU) from the lung mass and mediastinal LNs were measured. The cutoff values of each parameter were obtained by ROC analysis, and we evaluated the diagnostic sensitivity.
RESULTS: Forty-nine pneumoconiosis patients were included. Eighty-three lung masses were detected, of which 42 were confirmed as lung cancer (23 squamous cell carcinomas, 12 adenocarcinomas, and 7 small cell carcinomas) and 41 were PMF. There were significant differences between lung cancer and PMF in terms of SUVmax, DS, DL/S, and HU (all p < 0.05). The sensitivity, specificity, and accuracy for diagnosis of lung cancer were 81.0%, 73.2%, and 77.1%, respectively, with an SUVmax cutoff value of 7.4; and 92.8%, 87.8%, and 90.4%, respectively, with a HU cutoff value of 45.5. Among the 40 LNs with available pathological results, 7 were metastatic. Metastatic LNs showed higher SUVmax, larger DS, and lower HU than benign lesions (all p < 0.05). The sensitivity, specificity, and accuracy for predicting metastatic LNs by PET/CT were 85.7%, 93.9%, and 92.5%, respectively.
CONCLUSION: By applying PET and CT parameters in combination, the accuracy for differentiating malignant from benign lesions could be increased. PET/CT can play a central role in the discrimination of lung cancer and PMF. KEY POINTS: • Lung cancer showed significantly higher SUVmax than PMF. • Lung cancer showed similar D L but longer D S , resulting in a smaller D L/S than PMF. • SUVmax demonstrated additive value in differentiating lung cancer from PMF, compared with HU alone.

Entities:  

Keywords:  Computed tomography, X-ray; Lung neoplasms; Pneumoconiosis; Positron emission tomography–computed tomography

Mesh:

Substances:

Year:  2019        PMID: 31338654     DOI: 10.1007/s00330-019-06342-1

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  25 in total

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Journal:  Am J Nucl Med Mol Imaging       Date:  2015-01-15

2.  The changes of some immunological parameters in subjects exposed to asbestos in dependence on age, duration of exposure, radiological findings and smoking habits.

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3.  Accuracy of positron emission tomography for diagnosis of pulmonary nodules and mass lesions: a meta-analysis.

Authors:  M K Gould; C C Maclean; W G Kuschner; C E Rydzak; D K Owens
Journal:  JAMA       Date:  2001-02-21       Impact factor: 56.272

4.  Accuracy of positron emission tomography in mediastinal node assessment in coal workers with lung cancer.

Authors:  Ozkan Saydam; Mertol Gokce; Ali Kilicgun; Ozgur Tanriverdi
Journal:  Med Oncol       Date:  2011-03-06       Impact factor: 3.064

5.  18F-FMT uptake seen within primary cancer on PET helps predict outcome of non-small cell lung cancer.

Authors:  Kyoichi Kaira; Noboru Oriuchi; Kimihiro Shimizu; Hideyuki Tominaga; Noriko Yanagitani; Noriaki Sunaga; Tamotsu Ishizuka; Yoshikatsu Kanai; Masatomo Mori; Keigo Endo
Journal:  J Nucl Med       Date:  2009-10-16       Impact factor: 10.057

6.  18F-FDG PET imaging of progressive massive fibrosis.

Authors:  Soo Yoon Chung; Jae Hoon Lee; Tae Hoon Kim; Sang Jin Kim; Hyung Joong Kim; Young Hoon Ryu
Journal:  Ann Nucl Med       Date:  2009-11-25       Impact factor: 2.668

7.  The IASLC lung cancer staging project: a proposal for a new international lymph node map in the forthcoming seventh edition of the TNM classification for lung cancer.

Authors:  Valerie W Rusch; Hisao Asamura; Hirokazu Watanabe; Dorothy J Giroux; Ramon Rami-Porta; Peter Goldstraw
Journal:  J Thorac Oncol       Date:  2009-05       Impact factor: 15.609

8.  18F-FDG PET/CT in mediastinal lymph node staging of non-small-cell lung cancer in a tuberculosis-endemic country: consideration of lymph node calcification and distribution pattern to improve specificity.

Authors:  Jeong Won Lee; Bom Sahn Kim; Dong Soo Lee; June-Key Chung; Myung Chul Lee; Soonhag Kim; Won Jun Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-05-09       Impact factor: 9.236

9.  CT in silicosis: correlation with plain films and pulmonary function tests.

Authors:  C J Bergin; N L Müller; S Vedal; M Chan-Yeung
Journal:  AJR Am J Roentgenol       Date:  1986-03       Impact factor: 3.959

Review 10.  Current status of pneumoconiosis patients in Korea.

Authors:  Byung-Soon Choi; So Young Park; Joung Oh Lee
Journal:  J Korean Med Sci       Date:  2010-12-15       Impact factor: 2.153

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  3 in total

1.  Spin-echo and diffusion-weighted MRI in differentiation between progressive massive fibrosis and lung cancer.

Authors:  Serkan Guneyli; Meltem Tor; Hur Hassoy; Murat Serhat Aygun; Emre Altinmakas; Susamber Dik Altintas; Recep Savas
Journal:  Diagn Interv Radiol       Date:  2021-07       Impact factor: 2.630

2.  Intelligent Image Diagnosis of Pneumoconiosis Based on Wavelet Transform-Derived Texture Features.

Authors:  Zichen Wang; Maoneng Hu; Min Zeng; Guoliang Wang
Journal:  Comput Math Methods Med       Date:  2022-03-17       Impact factor: 2.238

3.  Pre-Operative Prediction of Mediastinal Node Metastasis Using Radiomics Model Based on 18F-FDG PET/CT of the Primary Tumor in Non-Small Cell Lung Cancer Patients.

Authors:  Kai Zheng; Xinrong Wang; Chengzhi Jiang; Yongxiang Tang; Zhihui Fang; Jiale Hou; Zehua Zhu; Shuo Hu
Journal:  Front Med (Lausanne)       Date:  2021-06-18
  3 in total

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