Literature DB >> 22532254

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

Chia-Hung Kao1, Shih-Chieh Lin, Te-Chun Hsieh, Kuo-Yang Yen, Shih-Neng Yang, Yao-Ching Wang, Ji-An Liang, Chun-Hung Hua, Shang-Wen Chen.   

Abstract

PURPOSE: The aim of the study was to investigate the predictive role of pretreatment metabolic volume (MTV) in pharyngeal cancer (PC) patients treated with definitive (chemo) radiotherapy.
METHODS: This retrospective analysis enrolled 64 patients with PC treated with (chemo) radiotherapy. All patients received pretreatment fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT. Four PET segmentation methods were used, namely applying an isocontour at a standardized uptake value (SUV) of either 2.5 or 3.0 (MTV2.5 and MTV3.0) or using fixed thresholds of either 40 or 50 % (MTV40 %, MTV50 %) of the maximum intratumoural FDG activity. Disease-free survival (DFS) and primary relapse-free survival (PRFS) were examined according to cutoffs of the median values for each MTV and the gross tumour volume (GTVp). Independent prognosticators were identified by Cox regression analysis.
RESULTS: With a median follow-up of 24 months, 19 patients died, and 26 patients experienced tumour relapse at primary sites. Multivariate analysis of the DFS showed that MTV2.5 > 13.6 ml was the only predictor of relapse [p = 0.011, hazard ratio = 2.69, 95 % confidence interval (CI) 1.25-5.76]. The independent predictor for PRFS was MTV2.5 > 13.6 ml (p = 0.003, hazard ratio = 3.76, 95 % CI 1.57-8.92), whereas GTVp > 15.5 ml had a marginal impact on PRFS (p = 0.06, hazard ratio = 3.54, 95 % CI 0.97-11.85). Patients having tumours with MTV2.5 > 13.6 ml had a significantly inferior 2-year PRFS compared with patients who had lower MTV2.5 tumours (39 vs 72 %, respectively, p = 0.001).
CONCLUSION: For PC patients treated with definitive (chemo)radiotherapy, pretreatment MTV2.5 volume achieved the best predictive value for primary recurrence, and the same value was also a prognosticator for DFS.

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Year:  2012        PMID: 22532254     DOI: 10.1007/s00259-012-2127-7

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  35 in total

1.  FDG-PET prediction of head and neck squamous cell cancer outcomes.

Authors:  David L Schwartz; Joseph Rajendran; Bevan Yueh; Marc D Coltrera; Michael Leblanc; Janet Eary; Kenneth Krohn
Journal:  Arch Otolaryngol Head Neck Surg       Date:  2004-12

2.  Pretreatment FDG-PET standardized uptake value as a prognostic factor for outcome in head and neck cancer.

Authors:  Mitchell Machtay; Mona Natwa; Jocelyn Andrel; Terry Hyslop; P Rani Anne; Jororsali Lavarino; Charles M Intenzo; William Keane
Journal:  Head Neck       Date:  2009-02       Impact factor: 3.147

3.  Metabolic tumor volume of [18F]-fluorodeoxyglucose positron emission tomography/computed tomography predicts short-term outcome to radiotherapy with or without chemotherapy in pharyngeal cancer.

Authors:  Man Ki Chung; Han-Sin Jeong; Sang Gyu Park; Jeon Yeob Jang; Young-Ik Son; Joon Young Choi; Seung Hyup Hyun; Keunchil Park; Myung-Ju Ahn; Yong Chan Ahn; Hyung-Jin Kim; Young-Hyeh Ko; Chung-Hwan Baek
Journal:  Clin Cancer Res       Date:  2009-09-08       Impact factor: 12.531

4.  Prediction of survival with fluorine-18-fluoro-deoxyglucose and PET in head and neck cancer.

Authors:  H Minn; M Lapela; P J Klemi; R Grénman; S Leskinen; P Lindholm; J Bergman; E Eronen; M Haaparanta; H Joensuu
Journal:  J Nucl Med       Date:  1997-12       Impact factor: 10.057

5.  FDG PET studies during treatment: prediction of therapy outcome in head and neck squamous cell carcinoma.

Authors:  Eva Brun; Elisabeth Kjellén; Jan Tennvall; Tomas Ohlsson; Anders Sandell; Roland Perfekt; Roland Perfekt; Johan Wennerberg; Sven Erik Strand
Journal:  Head Neck       Date:  2002-02       Impact factor: 3.147

6.  Metabolic tumor volume predicts for recurrence and death in head-and-neck cancer.

Authors:  Trang H La; Edith J Filion; Brit B Turnbull; Jackie N Chu; Percy Lee; Khoa Nguyen; Peter Maxim; Andy Quon; Edward E Graves; Billy W Loo; Quynh-Thu Le
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-03-14       Impact factor: 7.038

7.  Prognostic impact of tumor volume in patients with stage III-IVA hypopharyngeal cancer without bulky lymph nodes treated with definitive concurrent chemoradiotherapy.

Authors:  Shang-Wen Chen; Shih-Neng Yang; Ji-An Liang; Fang-Jen Lin; Ming-Hsui Tsai
Journal:  Head Neck       Date:  2009-06       Impact factor: 3.147

8.  Correlation between pretreatment FDG-PET biological target volume and anatomical location of failure after radiation therapy for head and neck cancers.

Authors:  Daniel E Soto; Marc L Kessler; Morand Piert; Avraham Eisbruch
Journal:  Radiother Oncol       Date:  2008-06-12       Impact factor: 6.280

9.  Can FDG PET predict radiation treatment outcome in head and neck cancer? Results of a prospective study.

Authors:  Dominic A X Schinagl; Paul N Span; Wim J Oyen; Johannes H A M Kaanders
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-04-02       Impact factor: 9.236

10.  FDG-PET. A possible prognostic factor in head and neck cancer.

Authors:  W Halfpenny; S F Hain; L Biassoni; M N Maisey; J A Sherman; M McGurk
Journal:  Br J Cancer       Date:  2002-02-12       Impact factor: 7.640

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  17 in total

Review 1.  Role of fluorine-18 fluorodeoxyglucose PET/CT in head and neck oncology: the point of view of the radiation oncologist.

Authors:  Jon Cacicedo; Arturo Navarro; Olga Del Hoyo; Alfonso Gomez-Iturriaga; Filippo Alongi; Jose A Medina; Olgun Elicin; Andrea Skanjeti; Francesco Giammarile; Pedro Bilbao; Francisco Casquero; Berardino de Bari; Alan Dal Pra
Journal:  Br J Radiol       Date:  2016-08-02       Impact factor: 3.039

2.  PET-based prognostic survival model after radiotherapy for head and neck cancer.

Authors:  Joël Castelli; A Depeursinge; A Devillers; B Campillo-Gimenez; Y Dicente; J O Prior; E Chajon; F Jegoux; C Sire; O Acosta; E Gherga; X Sun; B De Bari; J Bourhis; R de Crevoisier
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-08-21       Impact factor: 9.236

3.  Adaptive Boost Target Definition in High-Risk Head and Neck Cancer Based on Multi-imaging Risk Biomarkers.

Authors:  Feifei Teng; Madhava Aryal; Jae Lee; Choonik Lee; Xioajin Shen; Peter G Hawkins; Michelle Mierzwa; Avraham Eisbruch; Yue Cao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-12-21       Impact factor: 7.038

4.  Predictive and prognostic value of metabolic tumour volume and total lesion glycolysis in solid tumours.

Authors:  Christophe Van de Wiele; Vibeke Kruse; Peter Smeets; Mike Sathekge; Alex Maes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-14       Impact factor: 9.236

5.  Prognostic value of volumetric parameters measured by 18F-FDG PET/CT in patients with head and neck squamous cell carcinoma.

Authors:  Ronan Abgral; Nathalie Keromnes; Philippe Robin; Pierre-Yves Le Roux; David Bourhis; Xavier Palard; Jean Rousset; Gérald Valette; Rémi Marianowski; Pierre-Yves Salaün
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-11-07       Impact factor: 9.236

6.  CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy.

Authors:  H Kuno; M M Qureshi; M N Chapman; B Li; V C Andreu-Arasa; K Onoue; M T Truong; O Sakai
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-12       Impact factor: 3.825

7.  Volumetric PET/CT parameters predict local response of head and neck squamous cell carcinoma to chemoradiotherapy.

Authors:  Atsushi Hanamoto; Mitsuaki Tatsumi; Yukinori Takenaka; Toshimitsu Hamasaki; Toshimichi Yasui; Susumu Nakahara; Yoshifumi Yamamoto; Yuji Seo; Fumiaki Isohashi; Kazuhiko Ogawa; Jun Hatazawa; Hidenori Inohara
Journal:  Cancer Med       Date:  2014-07-10       Impact factor: 4.452

8.  Predictive and prognostic value of metabolic tumor volume (MTV) in patients with laryngeal carcinoma treated by radiotherapy (RT) / concurrent chemoradiotherapy (CCRT).

Authors:  Kenichiro Yabuki; Osamu Shiono; Masanori Komatsu; Daisuke Sano; Goshi Nishimura; Masahiro Takahashi; Takahide Taguchi; Tomio Inoue; Nobuhiko Oridate
Journal:  PLoS One       Date:  2015-02-18       Impact factor: 3.240

9.  A semi-automated technique determining the liver standardized uptake value reference for tumor delineation in FDG PET-CT.

Authors:  Kenji Hirata; Kentaro Kobayashi; Koon-Pong Wong; Osamu Manabe; Andrew Surmak; Nagara Tamaki; Sung-Cheng Huang
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

Review 10.  Estimate of the impact of FDG-avidity on the dose required for head and neck radiotherapy local control.

Authors:  Jeho Jeong; Jeremy S Setton; Nancy Y Lee; Jung Hun Oh; Joseph O Deasy
Journal:  Radiother Oncol       Date:  2014-05-12       Impact factor: 6.280

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