Literature DB >> 21409347

Evaluation of outcome prediction and disease extension by quantitative 2-deoxy-2-[18F] fluoro-D-glucose with positron emission tomography in patients with small cell lung cancer.

Nuri Arslan1, Murat Tuncel, Okan Kuzhan, Engin Alagoz, Burcin Budakoglu, Ahmet Ozet, Mehmet Ali Ozguven.   

Abstract

OBJECTIVE: The objective of this study is to determine whether 2-deoxy-2-[18F] fluoro-D: -glucose with positron emission tomography (FDG-PET) imaging and quantitative PET parameters can predict outcome and differentiate patients with limited disease (LD) from extensive disease (ED) in patients with small cell lung cancer (SCLC).
METHODS: We retrospectively evaluated data from 25 patients who underwent either initial staging (Group A, n 12) or restaging (Group B, n 13) by conventional imaging methods and FDG-PET according to the simplified staging scheme developed by the Veterans Administration Lung Cancer Study Group-2. FDG-PET images were both visually and quantitatively evaluated with SUV(max), SUV(ave), total metabolic tumor volume (with SUV(max) > %50 and SUV(max) > 2.5), total lesion glycolysis (TLG) (with SUV(max) > %50 and SUV(max) > 2.5). The correlation between quantitative PET parameters, disease stages and survival were analyzed.
RESULTS: By conventional methods 14 of 25 (56%) patients were reported to have LD and 11 of 25 (44%) had ED. FDG-PET scan upstaged 9 out of 25 (36%) and downstaged 2 out of 25 (%8) patients. Among the quantitative PET parameters, TLGs were the only PET parameters that differentiated between Group A and Group B patients. FDG-PET staging (p = 0.019) could predict significant survival difference between stages on contrary to conventional staging (p = 0.055). Moreover, TLG [SUV(max) > %50] was the only quantitative PET parameter that could predict survival (p = 0.027).
CONCLUSION: FDG-PET imaging is a valuable tool in the management of patients with SCLC for a more accurate staging. The use of quantitative PET parameters may have a role in prediction of stage and survival.

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Year:  2011        PMID: 21409347     DOI: 10.1007/s12149-011-0478-y

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  15 in total

1.  FDG PET/CT metabolic tumour volume in small-cell lung cancer: better staging and prognostic stratification for an improved therapeutic strategy.

Authors:  Giovanni Luca Ceresoli
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-06       Impact factor: 9.236

2.  Baseline total lesion glycolysis measured with (18)F-FDG PET/CT as a predictor of progression-free survival in diffuse large B-cell lymphoma: a pilot study.

Authors:  Shadi A Esfahani; Pedram Heidari; Elkan F Halpern; Ephraim P Hochberg; Edwin L Palmer; Umar Mahmood
Journal:  Am J Nucl Med Mol Imaging       Date:  2013-04-09

Review 3.  Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better?

Authors:  Hyung-Jun Im; Tyler Bradshaw; Meiyappan Solaiyappan; Steve Y Cho
Journal:  Nucl Med Mol Imaging       Date:  2017-09-19

4.  The role of FDG PET/CT in evaluation of mediastinal masses and neurogenic tumors of chest wall.

Authors:  Ebru Tatci; Ozlem Ozmen; Yeliz Dadali; Inci Uslu Biner; Atila Gokcek; Funda Demirag; Funda Incekara; Nuri Arslan
Journal:  Int J Clin Exp Med       Date:  2015-07-15

5.  The Role of 18F-FDG PET/CT on Staging and Prognosis in Patients with Small Cell Lung Cancer.

Authors:  A Zer; L Domachevsky; Y Rapson; M Nidam; D Flex; A M Allen; S M Stemmer; D Groshar; H Bernstine
Journal:  Eur Radiol       Date:  2015-12-18       Impact factor: 5.315

6.  Predictive value of F-18 FDG PET/CT quantization parameters in diffuse large B cell lymphoma: a meta-analysis with 702 participants.

Authors:  Mixue Xie; Kefei Wu; Yan Liu; Qi Jiang; Yanhui Xie
Journal:  Med Oncol       Date:  2014-12-16       Impact factor: 3.064

7.  Do 18F-FDG PET/CT parameters in oropharyngeal and oral cavity squamous cell carcinomas indicate HPV status?

Authors:  Ayse Tuba Karagulle Kendi; Kelly Magliocca; Amanda Corey; Dana C Nickleach; James Galt; Kristin Higgins; Jonathan J Beitler; Mark W El-Deiry; J Trad Wadsworth; Patricia A Hudgins; Nabil F Saba; David M Schuster
Journal:  Clin Nucl Med       Date:  2015-03       Impact factor: 7.794

8.  Use of FDG-PET in Radiation Treatment Planning for Thoracic Cancers.

Authors:  Katsuyuki Shirai; Akiko Nakagawa; Takanori Abe; Masahiro Kawahara; Jun-Ichi Saitoh; Tatsuya Ohno; Takashi Nakano
Journal:  Int J Mol Imaging       Date:  2012-05-14

Review 9.  Prognostic significance of volume-based PET parameters in cancer patients.

Authors:  Seung Hwan Moon; Seung Hyup Hyun; Joon Young Choi
Journal:  Korean J Radiol       Date:  2012-12-28       Impact factor: 3.500

10.  Total Lesion Glycolysis Using ¹⁸F-FDG PET/CT as a Prognostic Factor for Locally Advanced Esophageal Cancer.

Authors:  Ji Hyung Hong; Hyon Ho Kim; Eun Ji Han; Jae Ho Byun; Hong Seok Jang; Eun Kyoung Choi; Jin Hyoung Kang; Ie Ryung Yoo
Journal:  J Korean Med Sci       Date:  2015-12-24       Impact factor: 2.153

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