Literature DB >> 20234323

Primary tumor standardized uptake value measured on fluorodeoxyglucose positron emission tomography is of prognostic value for survival in non-small cell lung cancer: update of a systematic review and meta-analysis by the European Lung Cancer Working Party for the International Association for the Study of Lung Cancer Staging Project.

Marianne Paesmans1, Thierry Berghmans, Michele Dusart, Camillo Garcia, Claude Hossein-Foucher, Jean-Jacques Lafitte, Céline Mascaux, Anne-Pascale Meert, Martine Roelandts, Arnaud Scherpereel, Vanessa Terrones Munoz, Jean-Paul Sculier.   

Abstract

INTRODUCTION: Few validated prognostic factors are available for survival in patients with lung cancer. [F]-fluoro-2-deoxy-d-glucose positron emission tomography has been shown to be of additional value to conventional imaging for staging lung cancer. The prognostic value of this lung tumor metabolic activity was studied in a first systematic review of studies published until 2006.
METHODS: As further studies have appeared since 2006, this report has as objective to confirm and to estimate with less variability the prognostic value of primary tumor standardized uptake value (SUV) measured with [F]-fluoro-2-deoxy-d-glucose positron emission tomography on the basis of an updated search of eligible studies.
RESULTS: Ten additional studies were eligible for the updated review and eight of them provided, in the publication, data allowing survival results aggregation. All together, 21 studies were analyzed. Comparing patients with low and high SUV, using preferentially the median SUV value of each study as threshold, we obtained a poor prognostic value for high SUV compared with low SUV with an overall combined hazard ratio of 2.08, significantly different from one with a 95% confidence interval ranging from 1.69 to 2.56. No interaction between older and newer studies was detectable (P = 0.60) as well as between studies having selected non metastatic patients or studies without selection criterion related to stage (P = 0.46).
CONCLUSIONS: We confirmed the results of our previous review showing that SUV is potentially a very interesting factor for predicting patient outcome. We believe that a meta-analysis based on individual patient data would be of great value as allowing to assess the independent prognostic value, to take into account some factors responsible for heterogeneity between studies (SUV assessment method, disease stage, and histology), and to update survival data. We are planning to conduct such a meta-analysis on behalf of the International Association for the Study of Lung Cancer Staging Project.

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Year:  2010        PMID: 20234323     DOI: 10.1097/JTO.0b013e3181d0a4f5

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  82 in total

1.  FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2).

Authors:  Pierre Vera; Sandrine Mezzani-Saillard; Agathe Edet-Sanson; Jean-François Ménard; Romain Modzelewski; Sebastien Thureau; Marc-Etienne Meyer; Khadija Jalali; Stéphane Bardet; Delphine Lerouge; Claire Houzard; Françoise Mornex; Pierre Olivier; Guillaume Faure; Caroline Rousseau; Marc-André Mahé; Philippe Gomez; Isabelle Brenot-Rossi; Naji Salem; Bernard Dubray
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-22       Impact factor: 9.236

2.  Prognostic value of quantitative PET/CT in patients with a nonsmall cell lung cancer and another primary cancer.

Authors:  Xuee Zhu; Chuanhong Liao; Bill C Penney; Feng Li; Mark K Ferguson; Cassie A Simon; Tianming Wu; Haiyan Liu; Yonglin Pu
Journal:  Nucl Med Commun       Date:  2017-02       Impact factor: 1.690

Review 3.  The use and misuse of positron emission tomography in lung cancer evaluation.

Authors:  Ching-Fei Chang; Afshin Rashtian; Michael K Gould
Journal:  Clin Chest Med       Date:  2011-12       Impact factor: 2.878

4.  Noninvasive Differential Diagnosis of Pulmonary Nodules Using the Standardized Uptake Value Index.

Authors:  Satoshi Shiono; Naoki Yanagawa; Masami Abiko; Toru Sato
Journal:  Ann Thorac Cardiovasc Surg       Date:  2015-03-16       Impact factor: 1.520

5.  Metabolic tumor volume is an independent prognostic factor in patients treated definitively for non-small-cell lung cancer.

Authors:  Percy Lee; Jose G Bazan; Philip W Lavori; Dilani K Weerasuriya; Andrew Quon; Quynh-Thu Le; Heather A Wakelee; Edward E Graves; Billy W Loo
Journal:  Clin Lung Cancer       Date:  2011-06-24       Impact factor: 4.785

6.  Metabolic tumour volume is prognostic in patients with non-small-cell lung cancer treated with stereotactic ablative radiotherapy.

Authors:  M Dosani; R Yang; M McLay; D Wilson; M Liu; C J Yong-Hing; J Hamm; C R Lund; R Olson; D Schellenberg
Journal:  Curr Oncol       Date:  2019-02-01       Impact factor: 3.677

7.  Prognostic impact of combining whole-body PET/CT and brain PET/MR in patients with lung adenocarcinoma and brain metastases.

Authors:  Kung-Chu Ho; Cheng-Hong Toh; Shih-Hong Li; Chien-Ying Liu; Cheng-Ta Yang; Yu-Jen Lu; Tzu-Pei Su; Chih-Wei Wang; Tzu-Chen Yen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-11-10       Impact factor: 9.236

8.  Prognostic value of FDG uptake in primary inoperable non-small cell lung cancer.

Authors:  An-Na Tong; Shao-Rong Han; Peng Yan; Hai Gong; Hui Zhao; Hui Yao; Yan-Ming Wang
Journal:  Med Oncol       Date:  2013-12-11       Impact factor: 3.064

9.  Correlation of early PET findings with tumor response to molecular targeted agents in patients with advanced driver-mutated non-small cell lung cancer.

Authors:  Tomonobu Koizumi; Toshirou Fukushima; Daisuke Gomi; Takashi Kobayashi; Nodoka Sekiguchi; Keiko Mamiya; Kazunari Tateishi; Akane Katou; Kazuhiro Oguchi
Journal:  Med Oncol       Date:  2017-09-01       Impact factor: 3.064

10.  Prediction of survival by [18F]fluorodeoxyglucose positron emission tomography in patients with locally advanced non-small-cell lung cancer undergoing definitive chemoradiation therapy: results of the ACRIN 6668/RTOG 0235 trial.

Authors:  Mitchell Machtay; Fenghai Duan; Barry A Siegel; Bradley S Snyder; Jeremy J Gorelick; Janet S Reddin; Reginald Munden; Douglas W Johnson; Larry H Wilf; Albert DeNittis; Nancy Sherwin; Kwan Ho Cho; Seok-Ki Kim; Gregory Videtic; Donald R Neumann; Ritsuko Komaki; Homer Macapinlac; Jeffrey D Bradley; Abass Alavi
Journal:  J Clin Oncol       Date:  2013-09-16       Impact factor: 44.544

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