Literature DB >> 26718880

Predicting Radiation Esophagitis Using 18F-FDG PET During Chemoradiotherapy for Locally Advanced Non-Small Cell Lung Cancer.

Qurrat Mehmood1, Alexander Sun2, Nathan Becker1, Jane Higgins1, Andrea Marshall1, Lisa W Le3, Douglass C Vines4, Paula McCloskey1, Victoria Ford1, Katy Clarke1, Mei Yap1, Andrea Bezjak1, Jean-Pierre Bissonnette1.   

Abstract

INTRODUCTION: Treatment of locally advanced non-small cell lung cancer with chemoradiotherapy (CRT) is limited by development of toxicity in normal tissue, including radiation esophagitis (RE). Increasingly, (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is being used for adaptive planning. Our aim was to assess changes in esophageal FDG uptake during CRT and relate the changes to the onset and severity of RE.
METHODS: This prospective study in patients with stage II-III non-small cell lung cancer involved serial four-dimensional computed tomography and PET scans during CRT (60-74Gy). RE was recorded weekly using the Common Terminology Criteria for Adverse Events (v4.0), and imaging was performed at weeks 0, 2, 4, and 7. Changes in the esophagus's peak standard uptake value (SUVpeak) were analyzed for each time point and correlated with grade of RE using the Wilcoxon rank-sum test. The volume of esophagus receiving 50 Gy (V50) and volume of esophagus receiving 60 Gy (V60) were correlated with the development of RE, and the C-statistic (area under the curve [AUC]) was calculated to measure predictivity of grade 3 RE.
RESULTS: RE developed in 20 of 27 patients (74%), with grade 3 reached in 6 (22%). A significant percentage increase in SUVpeak in the patients with RE was noted at week 4 (p = 0.01) and week 7 (p = 0.03). For grade 3 RE, a significant percentage increase in SUVpeak was noted at week 2 (p = 0.01) and week 7 (p = 0.03) compared with that for less than grade 3 RE. Median V50 (46.3%) and V60 (33.4%) were significantly higher in patients with RE (p = 0.04). The AUC measurements suggested that the percentage change in SUVpeak at week 2 (AUC = 0.69) and V50 (AUC = 0.67) and V60 (AUC = 0.66) were similarly predictive of grade 3 RE.
CONCLUSIONS: Serial FDG-PET images during CRT show significant increases in SUVpeak for patients in whom RE develops. The changes at week 2 may predict those at risk for the development of grade 3 RE and may be informative for adaptive planning and early intervention.
Copyright © 2015 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  18-FDG PET; Chemoradiotherapy; Esophagitis; Non–small cell lung cancer; Toxicity

Mesh:

Substances:

Year:  2015        PMID: 26718880     DOI: 10.1016/j.jtho.2015.10.006

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


  7 in total

1.  Clinical response assessment on DW-MRI compared with FDG-PET/CT after neoadjuvant chemoradiotherapy in patients with oesophageal cancer.

Authors:  Sophie E Vollenbrock; Francine E M Voncken; Doenja M J Lambregts; Monique Maas; Maarten L Donswijk; Erik Vegt; Leon C Ter Beek; Jolanda M van Dieren; Johanna W van Sandick; Berthe M P Aleman; Regina G H Beets-Tan; Annemarieke Bartels-Rutten
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-06-22       Impact factor: 9.236

2.  (18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy.

Authors:  Joshua S Niedzielski; Jinzhong Yang; Zhongxing Liao; Daniel R Gomez; Francesco Stingo; Radhe Mohan; Mary K Martel; Tina M Briere; Laurence E Court
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-07-21       Impact factor: 7.038

3.  Early Prediction of Acute Esophagitis for Adaptive Radiation Therapy.

Authors:  Sadegh R Alam; Pengpeng Zhang; Si-Yuan Zhang; Ishita Chen; Andreas Rimner; Neelam Tyagi; Yu-Chi Hu; Wei Lu; Ellen D Yorke; Joseph O Deasy; Maria Thor
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-01-13       Impact factor: 8.013

4.  Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation.

Authors:  José Marcio Luna; Hann-Hsiang Chao; Russel T Shinohara; Lyle H Ungar; Keith A Cengel; Daniel A Pryma; Chidambaram Chinniah; Abigail T Berman; Sharyn I Katz; Despina Kontos; Charles B Simone; Eric S Diffenderfer
Journal:  Clin Transl Radiat Oncol       Date:  2020-03-24

Review 5.  Adaptive Radiation Therapy in the Treatment of Lung Cancer: An Overview of the Current State of the Field.

Authors:  Huzaifa Piperdi; Daniella Portal; Shane S Neibart; Ning J Yue; Salma K Jabbour; Meral Reyhan
Journal:  Front Oncol       Date:  2021-11-29       Impact factor: 6.244

Review 6.  The Use of Imaging in the Prediction and Assessment of Cancer Treatment Toxicity.

Authors:  Hossein Jadvar
Journal:  Diagnostics (Basel)       Date:  2017-07-20

7.  A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials.

Authors:  Joshua S Niedzielski; Jinzhong Yang; Francesco Stingo; Zhongxing Liao; Daniel Gomez; Radhe Mohan; Mary Martel; Tina Briere; Laurence Court
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

  7 in total

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