Literature DB >> 26275933

Can adaptive threshold-based metabolic tumor volume (MTV) and lean body mass corrected standard uptake value (SUL) predict prognosis in head and neck cancer patients treated with definitive radiotherapy/chemoradiotherapy?

Ozlem Ozkaya Akagunduz1, Recep Savas2, Deniz Yalman2, Kenan Kocacelebi3, Mustafa Esassolak2.   

Abstract

PURPOSE: To evaluate the predictive value of adaptive threshold-based metabolic tumor volume (MTV), maximum standardized uptake value (SUVmax) and maximum lean body mass corrected SUV (SULmax) measured on pretreatment positron emission tomography and computed tomography (PET/CT) imaging in head and neck cancer patients treated with definitive radiotherapy/chemoradiotherapy.
MATERIALS AND METHODS: Pretreatment PET/CT of the 62 patients with locally advanced head and neck cancer who were treated consecutively between May 2010 and February 2013 were reviewed retrospectively. The maximum FDG uptake of the primary tumor was defined according to SUVmax and SULmax. Multiple threshold levels between 60% and 10% of the SUVmax and SULmax were tested with intervals of 5% to 10% in order to define the most suitable threshold value for the metabolic activity of each patient's tumor (adaptive threshold). MTV was calculated according to this value. We evaluated the relationship of mean values of MTV, SUVmax and SULmax with treatment response, local recurrence, distant metastasis and disease-related death. Receiver-operating characteristic (ROC) curve analysis was done to obtain optimal predictive cut-off values for MTV and SULmax which were found to have a predictive value. Local recurrence-free (LRFS), disease-free (DFS) and overall survival (OS) were examined according to these cut-offs.
RESULTS: Forty six patients had complete response, 15 had partial response, and 1 had stable disease 6 weeks after the completion of treatment. Median follow-up of the entire cohort was 18 months. Of 46 complete responders 10 had local recurrence, and of 16 partial or no responders 10 had local progression. Eighteen patients died. Adaptive threshold-based MTV had significant predictive value for treatment response (p=0.011), local recurrence/progression (p=0.050), and disease-related death (p=0.024). SULmax had a predictive value for local recurrence/progression (p=0.030). ROC curves analysis revealed a cut-off value of 14.00 mL for MTV and 10.15 for SULmax. Three-year LRFS and DFS rates were significantly lower in patients with MTV ≥ 14.00 mL (p=0.026, p=0.018 respectively), and SULmax≥10.15 (p=0.017, p=0.022 respectively). SULmax did not have a significant predictive value for OS whereas MTV had (p=0.025).
CONCLUSION: Adaptive threshold-based MTV and SULmax could have a role in predicting local control and survival in head and neck cancer patients.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adaptive threshold-based metabolic tumor volume (MTV); Chemoradiotherapy; Head and neck cancer; Lean body mass corrected standard uptake value (SUL); Radiotherapy

Mesh:

Year:  2015        PMID: 26275933     DOI: 10.1016/j.nucmedbio.2015.06.007

Source DB:  PubMed          Journal:  Nucl Med Biol        ISSN: 0969-8051            Impact factor:   2.408


  5 in total

1.  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

2.  The role of interim FDG PET-CT after induction chemotherapy as a predictor of concurrent chemoradiotherapy efficacy and prognosis for head and neck cancer.

Authors:  Ka-Rham Kim; Hyun-Jeong Shim; Jun-Eul Hwang; Sang-Hee Cho; Ik-Joo Chung; Ki Seong Park; Sae-Ryung Kang; Seong Young Kwon; Woong-Ki Chung; Woo Kyun Bae
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-09-22       Impact factor: 9.236

3.  The clinical outcome correlations between radiation dose and pretreatment metabolic tumor volume for radiotherapy in head and neck cancer: A retrospective analysis.

Authors:  Shih-Neng Yang; Yu-Rou Chiou; Geoffrey G Zhang; Kuei-Ting Chou; Tzung-Chi Huang
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

Review 4.  What is the prognostic impact of FDG PET in locally advanced head and neck squamous cell carcinoma treated with concomitant chemo-radiotherapy? A systematic review and meta-analysis.

Authors:  Pierluigi Bonomo; A Merlotti; E Olmetto; A Bianchi; I Desideri; A Bacigalupo; P Franco; C Franzese; E Orlandi; L Livi; S Caini
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-06-09       Impact factor: 9.236

Review 5.  Predicting response to radiotherapy in tumors with PET/CT: when and how?

Authors:  Li-Fang Shen; Shui-Hong Zhou; Qi Yu
Journal:  Transl Cancer Res       Date:  2020-04       Impact factor: 1.241

  5 in total

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