Literature DB >> 20430470

Prognostic value of SUVmax measurements obtained by FDG-PET in patients with non-small cell lung cancer receiving chemotherapy.

Yohei Imamura1, Koichi Azuma, Seiji Kurata, Satoshi Hattori, Tetsuro Sasada, Takashi Kinoshita, Masaki Okamoto, Tomotaka Kawayama, Hayato Kaida, Masatoshi Ishibashi, Hisamichi Aizawa.   

Abstract

[(18)F]Fluorodeoxyglucose (FDG) uptake has been shown to correlate well with tumor proliferation rates. In patients with non-small cell lung cancer (NSCLC) receiving chemotherapy, we analyzed the relationships between the maximum standardized uptake value (SUVmax) obtained by FDG positron emission tomography (FDG-PET) and other clinical factors, and examined whether or not SUVmax could predict progression-free survival (PFS) and/or overall survival (OS). This retrospective study involved 62 consecutive NSCLC patients (35 male and 27 female: median age, 65 years). All patients underwent FDG-PET examination before treatment. As the first-line treatment, the patients received chemotherapy with (n=15) or without (n=47) radiotherapy. Survival curves were obtained by the Kaplan-Meier method, and differences in survival between subgroups were analyzed by the log-rank test and the Cox proportional hazards model. Significant correlations were observed between SUVmax and gender (P=0.006), histology (P<0.001), smoking status (P=0.049), stage (P=0.015), and treatment modality (P=0.008), but not other factors, including age (P=0.402) and performance status (P=0.421). The median SUVmax was 5.1 (25-75th percentile: 3.45-7.0) in patients with adenocarcinoma and 8.3 (25-75th percentile: 6.9-9.9) in those with other types of NSCLC. Adenocarcinomas showed significantly lower SUVmax than the other tumor types (P<0.001). Cox analysis adjusting for possible confounding factors, including gender, smoking status, histology and stage, demonstrated that the hazard ratios increased as the SUVmax increased in terms of both PFS (P=0.008) and OS (P=0.045), indicating that SUVmax predicts outcome independently of other clinical factors, such as histology and stage. Our findings indicate that FDG-PET examination can provide information useful for prognostication in NSCLC.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20430470     DOI: 10.1016/j.lungcan.2010.04.004

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  12 in total

1.  Independent prognostic value of whole-body metabolic tumor burden from FDG-PET in non-small cell lung cancer.

Authors:  Hao Zhang; Kristen Wroblewski; Daniel Appelbaum; Yonglin Pu
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-05-30       Impact factor: 2.924

2.  Prognostic value of 18F-fluorodeoxyglucose PET parameters and inflammation in patients with nasopharyngeal carcinoma.

Authors:  Liting Zhong; Chunming Li; Yunyan Ren; Dehua Wu
Journal:  Oncol Lett       Date:  2017-08-24       Impact factor: 2.967

3.  To Explore a Representative Hypoxic Parameter to Predict the Treatment Response and Prognosis Obtained by [18F]FMISO-PET in Patients with Non-small Cell Lung Cancer.

Authors:  Li Li; Yuchun Wei; Yong Huang; Qingxi Yu; Wenju Liu; Shuqiang Zhao; Jinsong Zheng; Hong Lu; Jinming Yu; Shuanghu Yuan
Journal:  Mol Imaging Biol       Date:  2018-12       Impact factor: 3.488

4.  Assessment of patient selection criteria for quantitative imaging with respiratory-gated positron emission tomography.

Authors:  Stephen R Bowen; Larry A Pierce; Adam M Alessio; Chi Liu; Scott D Wollenweber; Charles W Stearns; Paul E Kinahan
Journal:  J Med Imaging (Bellingham)       Date:  2014-09-24

5.  Respiratory trace feature analysis for the prediction of respiratory-gated PET quantification.

Authors:  Shouyi Wang; Stephen R Bowen; W Art Chaovalitwongse; George A Sandison; Thomas J Grabowski; Paul E Kinahan
Journal:  Phys Med Biol       Date:  2014-02-07       Impact factor: 3.609

Review 6.  Prognostic value of metabolic tumor burden in lung cancer.

Authors:  Piotr Obara; Yonglin Pu
Journal:  Chin J Cancer Res       Date:  2013-12       Impact factor: 5.087

7.  SUV navigator enables rapid [18F]-FDG PET/CT image interpretation compared with 2D ROI and 3D VOI evaluations.

Authors:  Atsutaka Okizaki; Michihiro Nakayama; Shunta Ishitoya; Kaori Nakajima; Masaaki Yamashina; Tamio Aburano; Koji Takahashi
Journal:  Jpn J Radiol       Date:  2017-05-11       Impact factor: 2.374

8.  Correlation Between Tumor Metabolism and Semiquantitative Perfusion Magnetic Resonance Imaging Metrics in Non-Small Cell Lung Cancer.

Authors:  Sang Ho Lee; Andreas Rimner; Emily Gelb; Joseph O Deasy; Margie A Hunt; John L Humm; Neelam Tyagi
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-03-02       Impact factor: 7.038

9.  Imaging and dosimetric errors in 4D PET/CT-guided radiotherapy from patient-specific respiratory patterns: a dynamic motion phantom end-to-end study.

Authors:  S R Bowen; M J Nyflot; C Herrmann; C M Groh; J Meyer; S D Wollenweber; C W Stearns; P E Kinahan; G A Sandison
Journal:  Phys Med Biol       Date:  2015-04-17       Impact factor: 3.609

10.  Correlation Analysis and Prognostic Impact of (18)F-FDG PET and Excision Repair Cross-Complementation Group 1 (ERCC-1) Expression in Non-Small Cell Lung Cancer.

Authors:  Yong Hyu Jeong; Choong-Kun Lee; Kwanhyeong Jo; Sang Hyun Hwang; Jongtae Cha; Jeong Won Lee; Mijin Yun; Arthur Cho
Journal:  Nucl Med Mol Imaging       Date:  2014-11-08
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