Literature DB >> 19915840

Revisiting the prognostic value of preoperative (18)F-fluoro-2-deoxyglucose ( (18)F-FDG) positron emission tomography (PET) in early-stage (I & II) non-small cell lung cancers (NSCLC).

Mohit Agarwal1, Govinda Brahmanday, Sunil K Bajaj, K P Ravikrishnan, Ching-Yee Oliver Wong.   

Abstract

PURPOSE: The aims were to determine if the maximum standardized uptake value (SUV(max)) of the primary tumor as determined by preoperative (18)F-fluoro-2-deoxyglucose ((18)F-FDG) positron emission tomography (PET) is an independent predictor of overall survival and to assess its prognostic value after stratification according to pathological staging.
METHODS: A retrospective clinicopathologic review of 363 patients who had a preoperative (18)F-FDG PET done before undergoing attempted curative resection for early-stage (I & II) non-small cell lung cancer (NSCLC) was performed. Patients who had received any adjuvant or neoadjuvant chemotherapy or radiation therapy were excluded. The primary outcome measure was duration of overall survival. Receiver-operating characteristic (ROC) curves were plotted to find out the optimal cutoff values of SUV(max) yielding the maximal sensitivity plus specificity for predicting the overall survival. Survival curves stratified by median SUV(max) and optimal cutoff SUV(max) were estimated by the Kaplan-Meier method and statistical differences were assessed using the log-rank test. Multivariate proportional hazards (Cox) regression analyses were applied to test the SUV(max)'s independency of other prognostic factors for the prediction of overall survival.
RESULTS: The median duration of follow-up was 981 days (2.7 years). The median SUV(max) was 5.9 for all subjects, 4.5 for stage IA, 8.4 for stage IB, and 10.9 for stage IIB. The optimal cutoff SUV(max) was 8.2 for all subjects. No optimal cutoff could be established for specific stages. In univariate analyses, each doubling of SUV(max) [i.e., each log (base 2) unit increase in SUV(max)] was associated with a 1.28-fold [95% confidence interval (CI): 1.03-1.59, p = 0.029] increase in hazard of death. Univariate analyses did not show any significant difference in survival by SUV(max) when data were stratified according to pathological stage (p = 0.119, p = 0.818, and p = 0.882 for stages IA, IB, and IIB, respectively). Multivariate analyses demonstrated that SUV(max) was not an independent predictor of overall survival (p > 0.05).
CONCLUSION: Each doubling of SUV(max) as determined by preoperative PET is associated with a 1.28-fold increase in hazard of death in early-stage (I & II) NSCLC. Preoperative SUV(max) is not an independent predictor of overall survival.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19915840      PMCID: PMC2844956          DOI: 10.1007/s00259-009-1291-x

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  20 in total

1.  18F-FDG uptake as a biologic prognostic factor for recurrence in patients with surgically resected non-small cell lung cancer.

Authors:  Kotaro Higashi; Yoshimichi Ueda; Yukiko Arisaka; Tsutomu Sakuma; Yoshihiro Nambu; Manabu Oguchi; Hiroyasu Seki; Suzuka Taki; Hisao Tonami; Itaru Yamamoto
Journal:  J Nucl Med       Date:  2002-01       Impact factor: 10.057

Review 2.  Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.

Authors:  D G Altman; B Lausen; W Sauerbrei; M Schumacher
Journal:  J Natl Cancer Inst       Date:  1994-06-01       Impact factor: 13.506

3.  The prognostic significance of fluorodeoxyglucose positron emission tomography imaging for patients with nonsmall cell lung carcinoma.

Authors:  V Ahuja; R E Coleman; J Herndon; E F Patz
Journal:  Cancer       Date:  1998-09-01       Impact factor: 6.860

4.  Preoperative staging of non-small-cell lung cancer with positron-emission tomography.

Authors:  R M Pieterman; J W van Putten; J J Meuzelaar; E L Mooyaart; W Vaalburg; G H Koëter; V Fidler; J Pruim; H J Groen
Journal:  N Engl J Med       Date:  2000-07-27       Impact factor: 91.245

5.  Preoperative F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value predicts survival after lung cancer resection.

Authors:  Robert J Downey; Timothy Akhurst; Mithat Gonen; Alain Vincent; Manjit S Bains; Steven Larson; Valerie Rusch
Journal:  J Clin Oncol       Date:  2004-08-15       Impact factor: 44.544

6.  Relationship between non-small cell lung cancer fluorodeoxyglucose uptake at positron emission tomography and surgical stage with relevance to patient prognosis.

Authors:  Hubert Vesselle; Eric Turcotte; Linda Wiens; Rodney Schmidt; Julie E Takasugi; Tasneem Lalani; Eric Vallières; Douglas E Wood
Journal:  Clin Cancer Res       Date:  2004-07-15       Impact factor: 12.531

7.  The Will Rogers phenomenon. Stage migration and new diagnostic techniques as a source of misleading statistics for survival in cancer.

Authors:  A R Feinstein; D M Sosin; C K Wells
Journal:  N Engl J Med       Date:  1985-06-20       Impact factor: 91.245

8.  Prognostic value of FDG uptake in early stage non-small cell lung cancer.

Authors:  François-Xavier Hanin; Max Lonneux; Julien Cornet; Philippe Noirhomme; Corinne Coulon; Julien Distexhe; Alain J Poncelet
Journal:  Eur J Cardiothorac Surg       Date:  2008-05       Impact factor: 4.191

Review 9.  Noninvasive staging of non-small cell lung cancer: a review of the current evidence.

Authors:  Eric M Toloza; Linda Harpole; Douglas C McCrory
Journal:  Chest       Date:  2003-01       Impact factor: 9.410

10.  Determination of the prognostic value of [(18)F]fluorodeoxyglucose uptake by using positron emission tomography in patients with non-small cell lung cancer.

Authors:  H-J Jeong; J-J Min; J M Park; J-K Chung; B T Kim; J M Jeong; D S Lee; M C Lee; S K Han; Y S Shim
Journal:  Nucl Med Commun       Date:  2002-09       Impact factor: 1.690

View more
  35 in total

1.  Microstructural analysis of pineal volume using trueFISP imaging.

Authors:  Jan M Bumb; Marc A Brockmann; Christoph Groden; Ingo Nolte
Journal:  World J Radiol       Date:  2013-04-28

2.  Impact of initial FDG PET/CT in the management plan of patients with locally advanced head and neck cancer.

Authors:  F Arias; V Chicata; M J García-Velloso; G Asín; M Uzcanga; C Eito; I Quilez; A Viudez; J Saenz; I Hernández; C Caicedo; M Errasti; M Barrado; F García-Bragado
Journal:  Clin Transl Oncol       Date:  2014-07-31       Impact factor: 3.405

3.  Risk stratification of solitary pulmonary nodules by means of PET using (18)F-fluorodeoxyglucose and SUV quantification.

Authors:  Aleksandar Grgic; Yildirim Yüksel; Andreas Gröschel; Hans-Joachim Schäfers; Gerhard W Sybrecht; Carl-Martin Kirsch; Dirk Hellwig
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-02-06       Impact factor: 9.236

4.  Risk factors associated with recurrence of surgically resected node-positive non-small cell lung cancer.

Authors:  Yoichi Ohtaki; Kimihiro Shimizu; Kyoichi Kaira; Toshiteru Nagashima; Kai Obayashi; Seshiru Nakazawa; Seiichi Kakegawa; Hitoshi Igai; Mitsuhiro Kamiyoshihara; Masahiko Nishiyama; Izumi Takeyoshi
Journal:  Surg Today       Date:  2016-01-19       Impact factor: 2.549

5.  FDG-PET maximum standardized uptake value is prognostic for recurrence and survival after stereotactic body radiotherapy for non-small cell lung cancer.

Authors:  Zachary A Kohutek; Abraham J Wu; Zhigang Zhang; Amanda Foster; Shaun U Din; Ellen D Yorke; Robert Downey; Kenneth E Rosenzweig; Wolfgang A Weber; Andreas Rimner
Journal:  Lung Cancer       Date:  2015-05-28       Impact factor: 5.705

6.  Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer.

Authors:  Sara Carvalho; Ralph T H Leijenaar; Emmanuel Rios Velazquez; Cary Oberije; Chintan Parmar; Wouter van Elmpt; Bart Reymen; Esther G C Troost; Michel Oellers; Andre Dekker; Robert Gillies; Hugo J W L Aerts; Philippe Lambin
Journal:  Acta Oncol       Date:  2013-09-09       Impact factor: 4.089

7.  FDG PET/CT metabolic tumor volume and total lesion glycolysis predict prognosis in patients with advanced lung adenocarcinoma.

Authors:  Hyun Woo Chung; Kye Young Lee; Hee Joung Kim; Wan Seop Kim; Young So
Journal:  J Cancer Res Clin Oncol       Date:  2013-11-06       Impact factor: 4.553

Review 8.  Present and future roles of FDG-PET/CT imaging in the management of lung cancer.

Authors:  Kazuhiro Kitajima; Hiroshi Doi; Tomonori Kanda; Tomohiko Yamane; Tetsuya Tsujikawa; Hayato Kaida; Yukihisa Tamaki; Kozo Kuribayashi
Journal:  Jpn J Radiol       Date:  2016-04-27       Impact factor: 2.374

9.  Harmonizing SUVs in multicentre trials when using different generation PET systems: prospective validation in non-small cell lung cancer patients.

Authors:  Charline Lasnon; Cédric Desmonts; Elske Quak; Radj Gervais; Pascal Do; Catherine Dubos-Arvis; Nicolas Aide
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-04-06       Impact factor: 9.236

10.  Defining the role of PET-CT in staging early breast cancer.

Authors:  Ashley M Groves; Manu Shastry; Simona Ben-Haim; Irfan Kayani; Anmol Malhotra; Timothy Davidson; Tina Kelleher; Diane Whittaker; Marie Meagher; Brian Holloway; Ruth M Warren; Peter J Ell; Mohammed R Keshtgar
Journal:  Oncologist       Date:  2012-04-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.