Literature DB >> 19487962

Early prediction of response to first-line therapy using integrated 18F-FDG PET/CT for patients with advanced/metastatic non-small cell lung cancer.

Dae Ho Lee1, Seok-Ki Kim, Ho-Young Lee, Sung Young Lee, Sun Hwa Park, Hyae Young Kim, Keon Wook Kang, Ji-Youn Han, Heung Tae Kim, Jin Soo Lee.   

Abstract

INTRODUCTION: Early prediction of treatment response is of great value to avoid unnecessary toxicity of ineffective treatment and to get a chance to receive another effective treatment earlier. We conducted a prospective study to evaluate the role of integrated 18-fluorodeoxyglucose positron emission tomography/computed tomography as a tool for early response predictor.
METHODS: Between May 2004 and November 2005, 31 patients with pathologically proven stage IIIB/IV non-small cell lung cancer participated in this study. Metabolic response was assessed prospectively after one cycle of systemic therapy, which was compared with conventional radiographic response according to the World Health Organization criteria.
RESULTS: By the World Health Organization criteria, 10 of 31 patients (32.3%) achieved a partial response, 7 stable diseases, and 14 progressive diseases, whereas there were 7 partial metabolic responses, 13 stable metabolic diseases, and 11 progressive metabolic diseases. Out of 7 partial metabolic responses, 5 achieved partial response, 1 stable disease, and 1 progressive disease (positive predictive value of 71.4% [5 of 7]), whereas 9 of the 11 progressive metabolic diseases had progressive diseases and the other 2 showed stable diseases (negative predictive value of 100% [11 of 11]). There were moderate correlation between early metabolic response and best overall response (Spearman r = 0.62, p < 0.01). However, an early metabolic response did not translate into better survival outcome.
CONCLUSIONS: Single 18-fluorodeoxyglucose positron emission tomography/computed tomography scan taken after one cycle of treatment could predict progressive disease earlier than standard radiographic evaluation and can be used as a measure to avoid ineffective systemic chemotherapy.

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Year:  2009        PMID: 19487962     DOI: 10.1097/JTO.0b013e3181a99fde

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


  31 in total

1.  [¹⁸F]Fluorodeoxyglucose positron emission tomography-guided therapy in metastatic adrenocortical carcinoma: an illustrative case.

Authors:  Hubert H Chuang; Ferhat Deniz; Kanishka Sircar; Camilo Jimenez; Carlos Rubin De Celis; Christopher G Wood; Mouhammed Amir Habra
Journal:  J Clin Oncol       Date:  2012-05-29       Impact factor: 44.544

Review 2.  Imaging-based tumor treatment response evaluation: review of conventional, new, and emerging concepts.

Authors:  Hee Kang; Ho Yun Lee; Kyung Soo Lee; Jae-Hun Kim
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

Review 3.  Positron Emission Tomography (PET) in Oncology.

Authors:  Andrea Gallamini; Colette Zwarthoed; Anna Borra
Journal:  Cancers (Basel)       Date:  2014-09-29       Impact factor: 6.639

4.  Early CT and FDG-metabolic tumour volume changes show a significant correlation with survival in stage I-III small cell lung cancer: a hypothesis generating study.

Authors:  Judith van Loon; Claudia Offermann; Michel Ollers; Wouter van Elmpt; Erik Vegt; Ali Rahmy; Anne-Marie C Dingemans; Philippe Lambin; Dirk De Ruysscher
Journal:  Radiother Oncol       Date:  2011-05-14       Impact factor: 6.280

5.  Standard uptake value and metabolic tumor volume of ¹⁸F-FDG PET/CT predict short-term outcome early in the course of chemoradiotherapy in advanced non-small cell lung cancer.

Authors:  Wei Huang; Tao Zhou; Li Ma; Hongfu Sun; Heyi Gong; Juan Wang; Jinming Yu; Baosheng Li
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-05-27       Impact factor: 9.236

Review 6.  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

7.  18F-FDG uptake for prediction EGFR mutation status in non-small cell lung cancer.

Authors:  Jian Guan; Nan J Xiao; Min Chen; Wen L Zhou; Yao W Zhang; Shuang Wang; Yong M Dai; Lu Li; Yue Zhang; Qin Y Li; Xiang Z Li; Mi Yang; Hu B Wu; Long H Chen; Lai Y Liu
Journal:  Medicine (Baltimore)       Date:  2016-07       Impact factor: 1.889

8.  Role of [¹⁸F]FDG PET in prediction of KRAS and EGFR mutation status in patients with advanced non-small-cell lung cancer.

Authors:  Carlos Caicedo; Maria Jose Garcia-Velloso; Maria Dolores Lozano; Tania Labiano; Carmen Vigil Diaz; Jose Maria Lopez-Picazo; Alfonso Gurpide; Javier J Zulueta; Javier Zulueta; Jose Angel Richter Echevarria; Jose Luis Perez Gracia
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-07-03       Impact factor: 9.236

Review 9.  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

10.  A Comparison of microCT and microPET for Evaluating Lymph Node Metastasis in a Rat Model.

Authors:  Paul Flechsig; Clemens Kratochwil; Arne Warth; Daniel Rath; Viktoria Eichwald; Peter E Huber; Hans-Ulrich Kauczor; Uwe Haberkorn; Frederik L Giesel
Journal:  Mol Imaging Biol       Date:  2016-04       Impact factor: 3.488

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