Literature DB >> 20813064

18F-FDG PET/CT-based gross tumor volume definition for radiotherapy in head and neck cancer: a correlation study between suitable uptake value threshold and tumor parameters.

Chia-Hung Kao1, Te-Chun Hsieh, Chun-Yen Yu, Kuo-Yang Yen, Shih-Neng Yang, Yao-Ching Wang, Ji-An Liang, Chun-Ru Chien, Shang-Wen Chen.   

Abstract

BACKGROUND: To define a suitable threshold setting for gross tumor volume (GTV) when using 18Fluoro-deoxyglucose positron emission tomography and computed tomogram (PET/CT) for radiotherapy planning in head and neck cancer (HNC).
METHODS: Fifteen HNC patients prospectively received PET/CT simulation for their radiation treatment planning. Biological target volume (BTV) was derived from PET/CT-based GTV of the primary tumor. The BTVs were defined as the isodensity volumes when adjusting different percentage of the maximal standardized uptake value (SUVmax), excluding any artifact from surrounding normal tissues. CT-based primary GTV (C-pGTV) that had been previously defined by radiation oncologists was compared with the BTV. Suitable threshold level (sTL) could be determined when BTV value and its morphology using a certain threshold level was observed to be the best fitness of the C-pGTV. Suitable standardized uptake value (sSUV) was calculated as the sTL multiplied by the SUVmax.
RESULTS: Our result demonstrated no single sTL or sSUV method could achieve an optimized volumetric match with the C-pGTV. The sTL was 13% to 27% (mean, 19%), whereas the sSUV was 1.64 to 3.98 (mean, 2.46). The sTL was inversely correlated with the SUVmax [sTL = -0.1004 Ln (SUVmax) + 0.4464; R2 = 0.81]. The sSUV showed a linear correlation with the SUVmax (sSUV = 0.0842 SUVmax + 1.248; R2 = 0.89). The sTL was not associated with the value of C-pGTVs.
CONCLUSION: In PET/CT-based BTV for HNC, a suitable threshold or SUV level can be established by correlating with SUVmax rather than using a fixed threshold.

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Year:  2010        PMID: 20813064      PMCID: PMC2942892          DOI: 10.1186/1748-717X-5-76

Source DB:  PubMed          Journal:  Radiat Oncol        ISSN: 1748-717X            Impact factor:   3.481


  32 in total

1.  Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding.

Authors:  Y E Erdi; O Mawlawi; S M Larson; M Imbriaco; H Yeung; R Finn; J L Humm
Journal:  Cancer       Date:  1997-12-15       Impact factor: 6.860

2.  Diagnostic and prognostic value of [(18)F]fluorodeoxyglucose positron emission tomography for recurrent head and neck squamous cell carcinoma.

Authors:  R J Wong; D T Lin; H Schöder; S G Patel; M Gonen; S Wolden; D G Pfister; J P Shah; S M Larson; D H Kraus
Journal:  J Clin Oncol       Date:  2002-10-15       Impact factor: 44.544

3.  The impact of (18)F-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) lymph node staging on the radiation treatment volumes in patients with non-small cell lung cancer.

Authors:  L J Vanuytsel; J F Vansteenkiste; S G Stroobants; P R De Leyn; W De Wever; E K Verbeken; G G Gatti; D P Huyskens; G J Kutcher
Journal:  Radiother Oncol       Date:  2000-06       Impact factor: 6.280

4.  The impact of (18)FDG-PET on target and critical organs in CT-based treatment planning of patients with poorly defined non-small-cell lung carcinoma: a prospective study.

Authors:  Katherine Mah; Curtis B Caldwell; Yee C Ung; Cyril E Danjoux; Judith M Balogh; S Nimu Ganguli; Lisa E Ehrlich; Romeo Tirona
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-02-01       Impact factor: 7.038

5.  Radiotherapy treatment planning for patients with non-small cell lung cancer using positron emission tomography (PET).

Authors:  Yusuf E Erdi; Kenneth Rosenzweig; Alev K Erdi; Homer A Macapinlac; Yu Chi Hu; Louise E Braban; John L Humm; Olivia D Squire; Chen Shou Chui; Steven M Larson; Ellen D Yorke
Journal:  Radiother Oncol       Date:  2002-01       Impact factor: 6.280

6.  Role of 11-C-methionine positron emission tomography for the delineation of the tumor volume in pharyngo-laryngeal squamous cell carcinoma: comparison with FDG-PET and CT.

Authors:  Xavier Geets; Jean-Francois Daisne; Vincent Gregoire; Marc Hamoir; Max Lonneux
Journal:  Radiother Oncol       Date:  2004-06       Impact factor: 6.280

Review 7.  18F-FDG PET/CT for image-guided and intensity-modulated radiotherapy.

Authors:  Eric C Ford; Joseph Herman; Ellen Yorke; Richard L Wahl
Journal:  J Nucl Med       Date:  2009-09-16       Impact factor: 10.057

8.  Impact of FDG-PET on radiation therapy volume delineation in non-small-cell lung cancer.

Authors:  Jeffrey Bradley; Wade L Thorstad; Sasa Mutic; Tom R Miller; Farrokh Dehdashti; Barry A Siegel; Walter Bosch; Rudi J Bertrand
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-05-01       Impact factor: 7.038

9.  Comparison of fluorine-18-fluorodeoxyglucose PET, MRI and endoscopy for staging head and neck squamous-cell carcinomas.

Authors:  C Laubenbacher; D Saumweber; C Wagner-Manslau; R J Kau; M Herz; N Avril; S Ziegler; C Kruschke; W Arnold; M Schwaiger
Journal:  J Nucl Med       Date:  1995-10       Impact factor: 10.057

10.  Radiation treatment planning with an integrated positron emission and computer tomography (PET/CT): a feasibility study.

Authors:  I Frank Ciernik; Elena Dizendorf; Brigitta G Baumert; Beatrice Reiner; Cyrill Burger; J Bernard Davis; Urs M Lütolf; Hans C Steinert; Gustav K Von Schulthess
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-11-01       Impact factor: 7.038

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  9 in total

Review 1.  The role of FDG PET-CT in the therapeutic evaluation for HNSCC patients.

Authors:  Joji Kawabe; Shigeaki Higashiyama; Atsushi Yoshida; Kohei Kotani; Susumu Shiomi
Journal:  Jpn J Radiol       Date:  2012-04-05       Impact factor: 2.374

2.  Use of pretreatment metabolic tumour volumes to predict the outcome of pharyngeal cancer treated by definitive radiotherapy.

Authors:  Chia-Hung Kao; Shih-Chieh Lin; Te-Chun Hsieh; Kuo-Yang Yen; Shih-Neng Yang; Yao-Ching Wang; Ji-An Liang; Chun-Hung Hua; Shang-Wen Chen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-04-25       Impact factor: 9.236

3.  Interobserver and intermodality variability in GTV delineation on simulation CT, FDG-PET, and MR Images of Head and Neck Cancer.

Authors:  Carryn M Anderson; Wenqing Sun; John M Buatti; Joan E Maley; Bruno Policeni; Sarah L Mott; John E Bayouth
Journal:  Jacobs J Radiat Oncol       Date:  2014-09

4.  Clinical outcomes of IMRT planned with or without PET/CT simulation for patients with pharyngeal cancers.

Authors:  Tomohiro Matsuura; Yasumasa Nishimura; Kiyoshi Nakamatsu; Shuichi Kanamori; Kazuki Ishikawa; Izumi Tachibana; Makoto Hosono; Toru Shibata
Journal:  Int J Clin Oncol       Date:  2016-09-07       Impact factor: 3.402

5.  Verification of the tumor volume delineation method using a fixed threshold of peak standardized uptake value.

Authors:  Kazuya Koyama; Takuya Mitsumoto; Takahiro Shiraishi; Keisuke Tsuda; Atsushi Nishiyama; Kazumasa Inoue; Kyosan Yoshikawa; Kazuo Hatano; Kazuo Kubota; Masahiro Fukushi
Journal:  Radiol Phys Technol       Date:  2017-07-04

6.  Adaptive region-growing with maximum curvature strategy for tumor segmentation in 18F-FDG PET.

Authors:  Shan Tan; Laquan Li; Wookjin Choi; Min Kyu Kang; Warren D D'Souza; Wei Lu
Journal:  Phys Med Biol       Date:  2017-06-12       Impact factor: 3.609

7.  Tumor volume delineation in head and neck cancer with 18-fluor-fluorodeoxiglucose positron emission tomography: adaptive thresholding method applied to primary tumors and metastatic lymph nodes.

Authors:  Luis Alberto Perez-Romasanta; Maria Bellon-Guardia; Javier Torres-Donaire; Eva Lozano-Martin; Miguel Sanz-Martin; Joaquin Velasco-Jimenez
Journal:  Clin Transl Oncol       Date:  2012-08-03       Impact factor: 3.405

8.  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

9.  Improvement of internal tumor volumes of non-small cell lung cancer patients for radiation treatment planning using interpolated average CT in PET/CT.

Authors:  Yao-Ching Wang; Hsun-Lin Tseng; Yang-Hsien Lin; Chia-Hung Kao; Wei-Chien Huang; Tzung-Chi Huang
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

  9 in total

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