Literature DB >> 24217547

Pretreatment (18)F-FDG PET/CT in whole-body total lesion glycolysis to predict survival in patients with pharyngeal cancer treated with definitive radiotherapy.

Shang-Wen Chen1, Te-Chun Hsieh, Kuo-Yang Yen, Ji-An Liang, Chia-Hung Kao.   

Abstract

PURPOSE: The objective of this study was to examine the predictive role of pretreatment total lesion glycolysis (TLG) of the whole-body and primary tumors in patients with pharyngeal cancer (PC) treated with definitive radiotherapy.
METHODS: The retrospective analysis examined 74 PC patients treated with radiotherapy. All patients received pretreatment with F-FDG PET/CT. Several autosegmentation methods were used to determine the PET/CT-based metabolic tumor volume (MTV), TLG of the primary tumor, and whole-body TLG (TLGw) for each patient. Overall survival (OS), disease-free survival (DFS), and primary relapse-free survival (PRFS) were examined according to the cutoffs of the median values for MTV, TLG, and gross tumor volume of the primary tumor. Independent prognosticators were identified using Cox regression analysis.
RESULTS: After a median follow-up of 33 months, 42 patients remained disease-free, and 32 patients experienced cancer recurrence. Multivariate analysis of the OS and DFS showed that the application of 40% of the maximal uptake of whole body TLG(TLGw40%) was the only predictor of OS or DFS. Patients who had tumors with TLGw40% greater than 92 g had significantly lower 3-year OS and DFS compared with patients who had smaller TLGw. The independent predictors for PRFS were MTV greater than the SUVmax of 2.5 (MTV2.5).
CONCLUSIONS: For PC patients treated with definitive radiotherapy, pretreatment with TLGw40% achieved the optimal predictive value for OS and DFS, and MTV2.5 was a prognosticator for PRFS.

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Year:  2014        PMID: 24217547     DOI: 10.1097/RLU.0000000000000243

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  6 in total

1.  [18]Fluorodeoxyglucose Positron Emission Tomography for the Textural Features of Cervical Cancer Associated with Lymph Node Metastasis and Histological Type.

Authors:  Wei-Chih Shen; Shang-Wen Chen; Ji-An Liang; Te-Chun Hsieh; Kuo-Yang Yen; Chia-Hung Kao
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-04-14       Impact factor: 9.236

2.  Prognostic significance of standardized uptake value and metabolic tumour volume on ¹⁸F-FDG PET/CT in oropharyngeal squamous cell carcinoma.

Authors:  Ji Won Kim; Jungsu S Oh; Jong-Lyel Roh; Jae Seung Kim; Seung-Ho Choi; Soon Yuhl Nam; Sang Yoon Kim
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-06-12       Impact factor: 9.236

3.  Correlation of pretreatment 18F-FDG PET tumor textural features with gene expression in pharyngeal cancer and implications for radiotherapy-based treatment outcomes.

Authors:  Shang-Wen Chen; Wei-Chih Shen; Ying-Chun Lin; Rui-Yun Chen; Te-Chun Hsieh; Kuo-Yang Yen; Chia-Hung Kao
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-12-20       Impact factor: 9.236

4.  Immunohistochemical biomarkers and volumetric parameters for predicting radiotherapy-based outcomes in patients with p16-negative pharyngeal cancer.

Authors:  Rui-Yun Chen; Ying-Chun Lin; Shang-Wen Chen; Tze-Yi Lin; Te-Chun Hsieh; Kuo-Yang Yen; Ji-An Liang; Shih-Neng Yang; Yao-Ching Wang; Ya-Huey Chen; Shu-Fen Chiang; Chia-Hung Kao
Journal:  Oncotarget       Date:  2017-08-21

5.  Total lesion glycolysis in oral squamous cell carcinoma as a biomarker derived from pre-operative FDG PET/CT outperforms established prognostic factors in a newly developed multivariate prediction model.

Authors:  Gerrit Spanier; Daniela Weidt; Dirk Hellwig; Johannes K H Meier; Torsten E Reichert; Jirka Grosse
Journal:  Oncotarget       Date:  2021-01-05

6.  Textural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy.

Authors:  Shang-Wen Chen; Wei-Chih Shen; Te-Chun Hsieh; Ji-An Liang; Yao-Ching Hung; Lian-Shung Yeh; Wei-Chun Chang; Wu-Chou Lin; Kuo-Yang Yen; Chia-Hung Kao
Journal:  Sci Rep       Date:  2018-08-08       Impact factor: 4.379

  6 in total

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