Literature DB >> 26221300

(18)F-FDG avid volumes on pre-radiotherapy FDG PET as boost target delineation in non-small cell lung cancer.

Ang Gao1, Shijiang Wang1, Zheng Fu2, Xindong Sun1, Jinming Yu1, Xue Meng1.   

Abstract

BACKGROUND: To investigate whether during/post-radiotherapy FDG uptake locations within tumors is likely identified using a pre-radiotherapy scan for non-small cell lung cancer (NSCLC), ultimately enabling confirm that a suitable metabolically active sub-volume pre-radiotherapy of the primary tumor for radiation boosting target.
METHODS: Patients with a pathologically proven inoperable stage II-III NSCLC were enrolled. For each patient, one pre-radiotherapy (pre-RT) plus one following 40Gy during-radiotherapy (during-RT) or post-radiotherapy (post-RT) FDG PET/CT scans were available. On pre-RT scan, the high FDG uptake region were auto-delineated using several percentage of the maximal standardized uptake value (SUVmax) thresholds, varying from 40% to 70%. On during-RT scan, FDG uptake region is delineated by 40% SUVmax, manual method respectively. With the FDG-positive areas on post-RT images is defined as 80% SUVmax. The overlap fractions (OFs) were calculated between pre-RT scan and during-RT or post-RT scan. Semi-quantitative assessment was used to determine SUVmax and metabolic tumor volume (MTV). The SUVmax changes during-RT representing the radiotherapy (RT) early metabolic response is attainable. Then, a spearman correlation was used to analysis the correlation between percentage changes in SUVmax during-RT and SUVmax-threshold definition volume pre-RT.
RESULTS: Of those 7 patients, a total of 16 FDG-PET scans were acquired. 5 patients were received pre-RT and during-RT scan, while 2 of these 5 patients underwent both post-RT scan. 2 patients were received FDG-PET/CT scan pre-RT and post-RT. The pre-RT scan threshold delineations of 50% SUVmax had a large OF with the 40% SUVmax threshold and manual method delineation on the during-RT scan, 74.3% and 84.4%, respectively. Comparably, the 80% SUVmax on the post-RT scan also largely corresponded (OF > 72%) with the 50% SUVmax threshold and the volume was small compared to the gross tumor volume (GTV), accounting for 29.4%. However, the 50% SUVmax threshold was not correlate with the percentage change in SUVmax (P > 0.05).
CONCLUSIONS: A pre-RT FDG-PET scan allows for the identification of during- and post-RT FDG uptake locations. The volume defined by 50% SUVmax may be a suitable threshold for dose escalation.

Entities:  

Keywords:  FDG-PET; Non-small cell lung cancer; SUV-threshold; boost target delineation; dose painting

Year:  2015        PMID: 26221300      PMCID: PMC4509245     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  26 in total

1.  FDG for dose painting: a rational choice.

Authors:  Hugo J W L Aerts; Philippe Lambin; Dirk De Ruysscher
Journal:  Radiother Oncol       Date:  2010-06-17       Impact factor: 6.280

2.  Comparison of tumor volumes as determined by pathologic examination and FDG-PET/CT images of non-small-cell lung cancer: a pilot study.

Authors:  Jinming Yu; Xinke Li; Ligang Xing; Dianbin Mu; Zheng Fu; Xiaorong Sun; Xiangyu Sun; Guoren Yang; Baijiang Zhang; Xindong Sun; C Clifton Ling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-05-21       Impact factor: 7.038

3.  Serial assessment of FDG-PET FDG uptake and functional volume during radiotherapy (RT) in patients with non-small cell lung cancer (NSCLC).

Authors:  Agathe Edet-Sanson; Bernard Dubray; Kaya Doyeux; Adeline Back; Sebastien Hapdey; Romain Modzelewski; Pierre Bohn; Isabelle Gardin; Pierre Vera
Journal:  Radiother Oncol       Date:  2011-08-30       Impact factor: 6.280

4.  Comparison of (immuno-)fluorescence data with serial [¹⁸F]Fmiso PET/CT imaging for assessment of chronic and acute hypoxia in head and neck cancers.

Authors:  Constantin-Alin Maftei; Kuangyu Shi; Christine Bayer; Sabrina T Astner; Peter Vaupel
Journal:  Radiother Oncol       Date:  2011-06-28       Impact factor: 6.280

5.  The PET-boost randomised phase II dose-escalation trial in non-small cell lung cancer.

Authors:  Wouter van Elmpt; Dirk De Ruysscher; Anke van der Salm; Annemarie Lakeman; Judith van der Stoep; Daisy Emans; Eugène Damen; Michel Öllers; Jan-Jakob Sonke; José Belderbos
Journal:  Radiother Oncol       Date:  2012-04-06       Impact factor: 6.280

6.  Defining a radiotherapy target with positron emission tomography.

Authors:  Quinten C Black; Inga S Grills; Larry L Kestin; Ching-Yee O Wong; John W Wong; Alvaro A Martinez; Di Yan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-11-15       Impact factor: 7.038

7.  Prediction of outcome in head-and-neck cancer patients using the standardized uptake value of 2-[18F]fluoro-2-deoxy-D-glucose.

Authors:  Abdelkarim S Allal; Daniel O Slosman; Tayeb Kebdani; Mohamed Allaoua; Willy Lehmann; Pavel Dulguerov
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-08-01       Impact factor: 7.038

8.  The maximum uptake of (18)F-deoxyglucose on positron emission tomography scan correlates with survival, hypoxia inducible factor-1alpha and GLUT-1 in non-small cell lung cancer.

Authors:  Angela van Baardwijk; Christophe Dooms; Robert Jan van Suylen; Erik Verbeken; Monique Hochstenbag; Cary Dehing-Oberije; Dennis Rupa; Silvia Pastorekova; Sigrid Stroobants; Ulrich Buell; Philippe Lambin; Johan Vansteenkiste; Dirk De Ruysscher
Journal:  Eur J Cancer       Date:  2007-05-23       Impact factor: 9.162

9.  Using fluorodeoxyglucose positron emission tomography to assess tumor volume during radiotherapy for non-small-cell lung cancer and its potential impact on adaptive dose escalation and normal tissue sparing.

Authors:  Mary Feng; Feng-Ming Kong; Milton Gross; Shaneli Fernando; James A Hayman; Randall K Ten Haken
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-03-15       Impact factor: 7.038

10.  Compounding local invariant features and global deformable geometry for medical image registration.

Authors:  Jianhua Zhang; Lei Chen; Xiaoyan Wang; Zhongzhao Teng; Adam J Brown; Jonathan H Gillard; Qiu Guan; Shengyong Chen
Journal:  PLoS One       Date:  2014-08-28       Impact factor: 3.240

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  2 in total

1.  18F-FLT and 18F-FDG PET/CT in Predicting Response to Chemoradiotherapy in Nasopharyngeal Carcinoma: Preliminary Results.

Authors:  Shi Qi; Yang Zhongyi; Zhang Yingjian; Hu Chaosu
Journal:  Sci Rep       Date:  2017-01-16       Impact factor: 4.379

2.  A Formula to Calculate the Threshold for Radiotherapy Targets on PET Images: Simulation Study.

Authors:  Jianhua Geng; Fei Luo; Jiahe Tian; Jinming Zhang; Xiaojun Zhang; Baolin Qu; Yingmao Chen
Journal:  Front Oncol       Date:  2020-10-21       Impact factor: 6.244

  2 in total

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