Literature DB >> 26911889

Dynamic contrast-enhanced MRI, diffusion-weighted MRI and 18F-FDG PET/CT for the prediction of survival in oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiation.

Shu-Hang Ng1,2,3, Chun-Ta Liao4, Chien-Yu Lin5, Sheng-Chieh Chan1,6, Yu-Chun Lin2,3, Tzu-Chen Yen1,6, Joseph Tung-Chieh Chang5, Sheung-Fat Ko2, Kang-Hsing Fan5, Hung-Ming Wang7, Lan-Yan Yang8, Jiun-Jie Wang9,10,11,12.   

Abstract

OBJECTIVES: We prospectively investigated the roles of pretreatment dynamic contrast-enhanced MR imaging (DCE-MRI), diffusion-weighted MR imaging (DWI) and 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG PET)/CT for predicting survival of oropharyngeal or hypopharyngeal squamous cell carcinoma (OHSCC) patients treated with chemoradiation.
METHODS: Patients with histologically proven OHSCC and neck nodal metastases scheduled for chemoradiation were eligible. Clinical variables as well as DCE-MRI-, DWI- and 18F-FDG PET/CT-derived parameters of the primary tumours and metastatic neck nodes were analysed in relation to 3-year progression-free survival (PFS) and overall survival (OS) rates.
RESULTS: Eighty-six patients were available for analysis. Multivariate analysis identified the efflux rate constant (K ep)-tumour < 3.79 min-1 (P = 0.001), relative volume of extracellular extravascular space (V e)-node < 0.23 (P = 0.004) and SUVmax-tumour > 19.44 (P = 0.025) as independent risk factors for both PFS and OS. A scoring system based upon the sum of each of the three imaging parameters allowed stratification of our patients into three groups (patients with 0/1 factor, patients with 2 factors and patients with 3 factors, respectively) with distinct PFS (3-year rates = 72 %, 38 % and 0 %, P < 0.0001) and OS (3-year rates = 81 %, 46 % and 20 %, P < 0.0001).
CONCLUSIONS: K ep-tumour, V e-node and SUVmax-tumour were independent prognosticators for OHSCC treated with chemoradiation. Their combination helped survival stratification. KEY POINTS: • K ep -tumour, V e -node and SUV max -tumour are independent predictors of survival rates. • The combination of these three prognosticators may help stratification of survival. • MRI and FDG-PET/CT play complementary roles in prognostication of head and neck cancer.

Entities:  

Keywords:  Chemoradiation; Diffusion-weighted imaging; Dynamic contrast-enhanced MRI; Hypopharyngeal cancer; Oropharyngeal cancer; Survival

Mesh:

Substances:

Year:  2016        PMID: 26911889     DOI: 10.1007/s00330-016-4276-8

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  47 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

Review 2.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

Authors:  P S Tofts
Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

3.  Prediction of disease-free survival in patients with squamous cell carcinomas of the head and neck using dynamic contrast-enhanced MR imaging.

Authors:  S Chawla; S Kim; L A Loevner; W-T Hwang; G Weinstein; A Chalian; H Quon; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-24       Impact factor: 3.825

4.  18F-FDG PET/CT metabolic tumor volume and total lesion glycolysis predict outcome in oropharyngeal squamous cell carcinoma.

Authors:  Remy Lim; Anne Eaton; Nancy Y Lee; Jeremy Setton; Nisha Ohri; Shyam Rao; Richard Wong; Matthew Fury; Heiko Schöder
Journal:  J Nucl Med       Date:  2012-08-14       Impact factor: 10.057

5.  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

6.  Use of 18F-FDG PET for primary treatment strategy in patients with squamous cell carcinoma of the oropharynx.

Authors:  Sang Yoon Kim; Jong-Lyel Roh; Mi Ra Kim; Jae Seung Kim; Seung-Ho Choi; Soon Yuhl Nam; Sang-wook Lee; Sung-Bae Kim
Journal:  J Nucl Med       Date:  2007-05       Impact factor: 10.057

7.  Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck.

Authors:  Sungheon Kim; Laurie Loevner; Harry Quon; Eric Sherman; Gregory Weinstein; Alex Kilger; Harish Poptani
Journal:  Clin Cancer Res       Date:  2009-02-01       Impact factor: 12.531

Review 8.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

9.  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

10.  Intravoxel incoherent motion MRI: emerging applications for nasopharyngeal carcinoma at the primary site.

Authors:  Shui-xing Zhang; Qian-jun Jia; Zhong-ping Zhang; Chang-hong Liang; Wen-bo Chen; Qian-hui Qiu; He Li
Journal:  Eur Radiol       Date:  2014-05-18       Impact factor: 5.315

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  25 in total

Review 1.  The emerging potential of magnetic resonance imaging in personalizing radiotherapy for head and neck cancer: an oncologist's perspective.

Authors:  Kee H Wong; Rafal Panek; Shreerang A Bhide; Christopher M Nutting; Kevin J Harrington; Katie L Newbold
Journal:  Br J Radiol       Date:  2017-03       Impact factor: 3.039

2.  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

3.  Differential diagnostic value of diffusion-weighted and dynamic contrast-enhanced MR imaging in non-cystic lesions in floor of the mouth.

Authors:  Ying Yuan; Mengda Jiang; Lizhong Wu; Xiaofeng Tao
Journal:  Dentomaxillofac Radiol       Date:  2018-11-30       Impact factor: 2.419

4.  Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation.

Authors:  Xiaokai Mo; Xiangjun Wu; Di Dong; Baoliang Guo; Changhong Liang; Xiaoning Luo; Bin Zhang; Lu Zhang; Yuhao Dong; Zhouyang Lian; Jing Liu; Shufang Pei; Wenhui Huang; Fusheng Ouyang; Jie Tian; Shuixing Zhang
Journal:  Eur Radiol       Date:  2019-10-30       Impact factor: 5.315

5.  Computed tomography-based radiomics signature as a pretreatment predictor of progression-free survival in locally advanced hypopharyngeal carcinoma with a different response to induction chemotherapy.

Authors:  Xiaobin Liu; Chuanqi Sun; Miaomiao Long; Yining Yang; Peng Lin; Shuang Xia; Wen Shen
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-02-25       Impact factor: 2.503

6.  Pretreatment DWI with Histogram Analysis of the ADC in Predicting the Outcome of Advanced Oropharyngeal Cancer with Known Human Papillomavirus Status Treated with Chemoradiation.

Authors:  M Ravanelli; A Grammatica; M Maddalo; M Ramanzin; G M Agazzi; E Tononcelli; S Battocchio; P Bossi; M Vezzoli; R Maroldi; D Farina
Journal:  AJNR Am J Neuroradiol       Date:  2020-07-30       Impact factor: 3.825

7.  Diagnosis of spinal lesions using perfusion parameters measured by DCE-MRI and metabolism parameters measured by PET/CT.

Authors:  Jiahui Zhang; Yongye Chen; Yanyan Zhang; Enlong Zhang; Hon J Yu; Huishu Yuan; Yang Zhang; Min-Ying Su; Ning Lang
Journal:  Eur Spine J       Date:  2019-11-21       Impact factor: 3.134

8.  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

9.  Value of quantitative dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging in predicting extramural venous invasion in locally advanced gastric cancer and prognostic significance.

Authors:  Yongjian Zhu; Yutao Zhou; Wen Zhang; Liyan Xue; Ying Li; Jun Jiang; Yuxin Zhong; Sicong Wang; Liming Jiang
Journal:  Quant Imaging Med Surg       Date:  2021-01

10.  Targeting Treatment Resistance in Head and Neck Squamous Cell Carcinoma - Proof of Concept for CT Radiomics-Based Identification of Resistant Sub-Volumes.

Authors:  Marta Bogowicz; Matea Pavic; Oliver Riesterer; Tobias Finazzi; Helena Garcia Schüler; Edna Holz-Sapra; Leonie Rudofsky; Lucas Basler; Manon Spaniol; Andreas Ambrusch; Martin Hüllner; Matthias Guckenberger; Stephanie Tanadini-Lang
Journal:  Front Oncol       Date:  2021-05-27       Impact factor: 6.244

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