Literature DB >> 29531861

Assessment of very early response evaluation with 18F-FDG-PET/CT predicts survival in erlotinib treated NSCLC patients-A comparison of methods.

Joan Fledelius1, Anne Winther-Larsen2, Azza A Khalil3, Karin Hjorthaug4, Jørgen Frøkiær4, Peter Meldgaard3.   

Abstract

We evaluated whether changes in 18F-Fluoro-D-Glucose (18F-FDG)-uptake evaluated early during erlotinib treatment predict survival in non-small cell lung cancer (NSCLC) patients. Positron emission tomography (PET)/CT scans from 56 NSCLC patients before and after 7-10 days of erlotinib treatment were analyzed with four different methods: Visual evaluation and percentage change in lean body mass corrected standardized uptake values (SULs): SULpeak, SULmax and total lesion glycolysis (TLG). The semi-quantitative parameters abilities to predict progression free survival (PFS) and overall survival (OS) were compared and we found that percentage change in SULpeak, SULmax and TLG all correlated with PFS and OS with the strongest correlation found for TLG (R=0.51, P < 0.001). The highest area under the curve (AUC) for predicting OS was for TLG (0.70 (0.56-0.85)) with a sensitivity of 0.68 and a specificity of 079. All methods except visual evaluation, SULpeak at 15% and 30%, and TLG at 40% cut-off separates the survival curves for the response categories for PFS. For OS, visual evaluation and SULmax did not, whereas TLG at 4 different cut-off levels and SULpeak at the three lowest cut-off levels did. IN
CONCLUSION: Early change in 18F-FDG-uptake during erlotinib correlated to both PFS and OS. TLG, as suggested by PERCIST 1.0, shows the strongest correlation to survival, whereas visual evaluation seems to be less sensitive at this very early time-point, but lower cut-off levels for discriminating between response categories seem to be relevant as we find that 20-25% change for both response and progression is optimal.

Entities:  

Keywords:  18F-FDG; PERCIST 1.0; early response evaluation; lung cancer

Year:  2018        PMID: 29531861      PMCID: PMC5840323     

Source DB:  PubMed          Journal:  Am J Nucl Med Mol Imaging


  27 in total

1.  Quantitative analysis of response to treatment with erlotinib in advanced non-small cell lung cancer using 18F-FDG and 3'-deoxy-3'-18F-fluorothymidine PET.

Authors:  Deniz Kahraman; Matthias Scheffler; Thomas Zander; Lucia Nogova; Adriaan A Lammertsma; Ronald Boellaard; Bernd Neumaier; Roland T Ullrich; Arne Holstein; Markus Dietlein; Jürgen Wolf; Carsten Kobe
Journal:  J Nucl Med       Date:  2011-11-07       Impact factor: 10.057

2.  Changes in 18F-fluorodeoxyglucose and 18F-fluorodeoxythymidine positron emission tomography imaging in patients with non-small cell lung cancer treated with erlotinib.

Authors:  Linda Mileshkin; Rodney J Hicks; Brett G M Hughes; Paul L R Mitchell; Veena Charu; Barbara J Gitlitz; David Macfarlane; Benjamin Solomon; Lukas C Amler; Wei Yu; Andrea Pirzkall; Bernard M Fine
Journal:  Clin Cancer Res       Date:  2011-03-01       Impact factor: 12.531

3.  (18)F-FDG PET/CT for monitoring treatment responses to the epidermal growth factor receptor inhibitor erlotinib.

Authors:  Matthias R Benz; Ken Herrmann; Franziska Walter; Edward B Garon; Karen L Reckamp; Robert Figlin; Michael E Phelps; Wolfgang A Weber; Johannes Czernin; Martin S Allen-Auerbach
Journal:  J Nucl Med       Date:  2011-11       Impact factor: 10.057

4.  Predictive and prognostic value of early response assessment using 18FDG-PET in advanced non-small cell lung cancer patients treated with erlotinib.

Authors:  Marcello Tiseo; Massimo Ippolito; Maura Scarlattei; Pietro Spadaro; Sebastiano Cosentino; Fiorenza Latteri; Livia Ruffini; Marco Bartolotti; Beatrice Bortesi; Claudia Fumarola; Cristina Caffarra; Andrea Cavazzoni; Roberta R Alfieri; Pier Giorgio Petronini; Roberto Bordonaro; Paolo Bruzzi; Andrea Ardizzoni; Hector J Soto Parra
Journal:  Cancer Chemother Pharmacol       Date:  2013-11-21       Impact factor: 3.333

5.  Metabolic response evaluated by 18F-FDG PET/CT as a potential screening tool in identifying a subgroup of patients with advanced non-small cell lung cancer for immediate maintenance therapy after first-line chemotherapy.

Authors:  Seung Hwan Moon; Su-Hee Cho; Lee Chun Park; Jun Ho Ji; Jong-Mu Sun; Jin Sock Ahn; Keunchil Park; Joon Young Choi; Myung-Ju Ahn
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-04-18       Impact factor: 9.236

Review 6.  From RECIST to PERCIST: Evolving Considerations for PET response criteria in solid tumors.

Authors:  Richard L Wahl; Heather Jacene; Yvette Kasamon; Martin A Lodge
Journal:  J Nucl Med       Date:  2009-05       Impact factor: 10.057

7.  Usefulness of FDG-PET for early prediction of the response to gefitinib in non-small cell lung cancer.

Authors:  Noriaki Sunaga; Noboru Oriuchi; Kyoichi Kaira; Noriko Yanagitani; Yoshio Tomizawa; Takeshi Hisada; Tamotsu Ishizuka; Keigo Endo; Masatomo Mori
Journal:  Lung Cancer       Date:  2007-10-25       Impact factor: 5.705

8.  Early pharmacodynamic assessment using ¹⁸F-fluorodeoxyglucose positron-emission tomography on molecular targeted therapy and cytotoxic chemotherapy for clinical outcome prediction.

Authors:  Masaki Kanazu; Kaoru Maruyama; Masahiko Ando; Kazuhiro Asami; Mari Ishii; Kazutaka Uehira; Shojiro Minomo; Yoshinobu Matsuda; Tomoya Kawaguchi; Shinji Atagi; Yoji Ogawa; Yoko Kusunoki; Minoru Takada; Akihito Kubo
Journal:  Clin Lung Cancer       Date:  2014-01-09       Impact factor: 4.785

9.  TLG-S criteria are superior to both EORTC and PERCIST for predicting outcomes in patients with metastatic lung adenocarcinoma treated with erlotinib.

Authors:  Kung-Chu Ho; Yu-Hua Dean Fang; Hsiao-Wen Chung; Yuan-Chang Liu; John Wen-Cheng Chang; Ming-Mo Hou; Cheng-Ta Yang; Nai-Ming Cheng; Tzu-Pei Su; Tzu-Chen Yen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-06-03       Impact factor: 9.236

10.  Early Change in FDG-PET Signal and Plasma Cell-Free DNA Level Predicts Erlotinib Response in EGFR Wild-Type NSCLC Patients.

Authors:  Anne Winther-Larsen; Joan Fledelius; Christina Demuth; Catharina M Bylov; Peter Meldgaard; Boe S Sorensen
Journal:  Transl Oncol       Date:  2016-10-29       Impact factor: 4.243

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  3 in total

1.  Multi-level otsu method to define metabolic tumor volume in positron emission tomography.

Authors:  Hyung-Jun Im; Meiyappan Solaiyappan; Inki Lee; Tyler Bradshaw; Najat C Daw; Fariba Navid; Barry L Shulkin; Steve Y Cho
Journal:  Am J Nucl Med Mol Imaging       Date:  2018-12-20

2.  AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients.

Authors:  Pablo Borrelli; John Ly; Reza Kaboteh; Johannes Ulén; Olof Enqvist; Elin Trägårdh; Lars Edenbrandt
Journal:  EJNMMI Phys       Date:  2021-03-25

Review 3.  Multimodal Molecular Imaging: Current Status and Future Directions.

Authors:  Min Wu; Jian Shu
Journal:  Contrast Media Mol Imaging       Date:  2018-06-05       Impact factor: 3.161

  3 in total

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