Literature DB >> 28237868

A PET-based nomogram for oropharyngeal cancers.

J Castelli1, A Depeursinge2, V Ndoh3, J O Prior4, M Ozsahin5, A Devillers6, H Bouchaab5, E Chajon3, R de Crevoisier3, N Scher5, F Jegoux7, B Laguerre8, B De Bari5, J Bourhis9.   

Abstract

PURPOSE: In the context of locally advanced oropharyngeal cancer (LAOC) treated with definitive radiotherapy (RT) (combined with chemotherapy or cetuximab), the aims of this study were: (1) to identify PET-FDG parameters correlated with overall survival (OS) from a first cohort of patients; then (2) to compute a prognostic score; and (3) finally to validate this scoring system in a second independent cohort of patients.
MATERIALS AND METHODS: A total of 76 consecutive patients (training cohort from Rennes) treated with chemoradiotherapy or RT with cetuximab for LAOC were used to build a predictive model of locoregional control (LRC) and OS based on PET-FDG parameters. After internal calibration and validation of this model, a nomogram and a scoring system were developed and tested in a validation cohort of 46 consecutive patients treated with definitive RT for LAOC in Lausanne.
RESULTS: In multivariate analysis, the metabolic tumour volume (MTV) of the primary tumour and the lymph nodes were independent predictive factors for LRC and OS. Internal calibration showed a very good adjustment between the predicted OS and the observed OS at 24 months. Using the predictive score, two risk groups were identified (median OS 42 versus 14 months, p < 0.001) and confirmed in the validation cohort from Lausanne (median OS not reached versus 26 months, p=0.008).
CONCLUSIONS: This is the first report of a PET-based nomogram in oropharyngeal cancer. Interestingly, it appeared stronger than the classical prognostic factors and was validated in independent cohorts markedly diverging in many aspects, which suggest that the observed signal was robust.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Nomogram; Oropharyngeal cancer; PET; Prognostic score

Mesh:

Substances:

Year:  2017        PMID: 28237868     DOI: 10.1016/j.ejca.2017.01.018

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  6 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

Review 2.  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

3.  Voxel-based identification of local recurrence sub-regions from pre-treatment PET/CT for locally advanced head and neck cancers.

Authors:  J Beaumont; O Acosta; A Devillers; X Palard-Novello; E Chajon; R de Crevoisier; J Castelli
Journal:  EJNMMI Res       Date:  2019-09-18       Impact factor: 3.138

4.  Impact of pretreatment second look 18FDG-PET/CT on stage and treatment changes in head and neck cancer.

Authors:  Olgun Elicin; Bernd Vollnberg; Mohamed Shelan; Elena Riggenbach; Beat Bojaxhiu; Etienne Mathier; Roland Giger; Daniel M Aebersold; Bernd Klaeser
Journal:  Clin Transl Radiat Oncol       Date:  2021-08-29

5.  Utility and limitations of metabolic parameters in head and neck cancer: finding a practical segmentation method.

Authors:  Jefferson Rijo-Cedeño; Jorge Mucientes; Ithzel María Villarreal; Ana Royuela; Patricia García Vicente; José Ramón García-Berrocal
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-05-02       Impact factor: 3.236

6.  Development and assessment of a predictive nomogram for the progression of IgA nephropathy.

Authors:  Lin-Lin Liu; Lin-Bo Zhu; Jian-Nan Zheng; Tong-Dan Bi; Jian-Fei Ma; Li-Ning Wang; Li Yao
Journal:  Sci Rep       Date:  2018-05-09       Impact factor: 4.379

  6 in total

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