Literature DB >> 21601373

Dynamic contrast-enhanced magnetic resonance imaging as a predictor of outcome in head-and-neck squamous cell carcinoma patients with nodal metastases.

Amita Shukla-Dave1, Nancy Y Lee, Jacobus F A Jansen, Howard T Thaler, Hilda E Stambuk, Matthew G Fury, Snehal G Patel, Andre L Moreira, Eric Sherman, Sasan Karimi, Ya Wang, Dennis Kraus, Jatin P Shah, David G Pfister, Jason A Koutcher.   

Abstract

PURPOSE: Dynamic contrast-enhanced MRI (DCE-MRI) can provide information regarding tumor perfusion and permeability and has shown prognostic value in certain tumors types. The goal of this study was to assess the prognostic value of pretreatment DCE-MRI in head and neck squamous cell carcinoma (HNSCC) patients with nodal disease undergoing chemoradiation therapy or surgery. METHODS AND MATERIALS: Seventy-four patients with histologically proven squamous cell carcinoma and neck nodal metastases were eligible for the study. Pretreatment DCE-MRI was performed on a 1.5T MRI. Clinical follow-up was a minimum of 12 months. DCE-MRI data were analyzed using the Tofts model. DCE-MRI parameters were related to treatment outcome (progression-free survival [PFS] and overall survival [OS]). Patients were grouped as no evidence of disease (NED), alive with disease (AWD), dead with disease (DOD), or dead of other causes (DOC). Prognostic significance was assessed using the log-rank test for single variables and Cox proportional hazards regression for combinations of variables.
RESULTS: At last clinical follow-up, for Stage III, all 12 patients were NED. For Stage IV, 43 patients were NED, 4 were AWD, 11 were DOD, and 4 were DOC. K(trans) is volume transfer constant. In a stepwise Cox regression, skewness of K(trans) (volume transfer constant) was the strongest predictor for Stage IV patients (PFS and OS: p <0.001).
CONCLUSION: Our study shows that skewness of K(trans) was the strongest predictor of PFS and OS in Stage IV HNSCC patients with nodal disease. This study suggests an important role for pretreatment DCE-MRI parameter K(trans) as a predictor of outcome in these patients. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21601373      PMCID: PMC3177034          DOI: 10.1016/j.ijrobp.2011.03.006

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  47 in total

Review 1.  Prognostic factors in squamous cell carcinoma of the head and neck.

Authors:  T G Wendt; P Bank
Journal:  Onkologie       Date:  2002-06

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.  Head and neck cancer emerging strategies: advances and new challenges.

Authors:  Ahmad Awada; Gilberto de Castro
Journal:  Curr Opin Oncol       Date:  2009-05       Impact factor: 3.645

4.  Predictive value of P53, BCL-2, and BAX in advanced head and neck carcinoma.

Authors:  Susana Casado; Jerónimo Forteza; Severina Dominguez; M Teresa Abad; Isabel Perez; Iratxe Intxaurbe; J M del Campo; Rafael Lopez
Journal:  Am J Clin Oncol       Date:  2002-12       Impact factor: 2.339

Review 5.  Dynamic contrast-enhanced magnetic resonance imaging as an imaging biomarker.

Authors:  Nola Hylton
Journal:  J Clin Oncol       Date:  2006-07-10       Impact factor: 44.544

6.  Prognostic impact of total tumor volume and hemoglobin concentration on the outcome of patients with advanced head and neck cancer after concomitant boost radiochemotherapy.

Authors:  V Rudat; A Dietz; O Schramm; C Conradt; H Maier; M Flentje; M Wannenmacher
Journal:  Radiother Oncol       Date:  1999-11       Impact factor: 6.280

7.  Tumor microcirculation evaluated by dynamic magnetic resonance imaging predicts therapy outcome for primary rectal carcinoma.

Authors:  A F Devries; J Griebel; C Kremser; W Judmaier; T Gneiting; A Kreczy; D Ofner; K P Pfeiffer; G Brix; P Lukas
Journal:  Cancer Res       Date:  2001-03-15       Impact factor: 12.701

Review 8.  Hypoxia and aggressive tumor phenotype: implications for therapy and prognosis.

Authors:  Peter Vaupel
Journal:  Oncologist       Date:  2008

9.  Comparison of clinical and pathological staging in head and neck squamous cell carcinoma: results from Intergroup Study ECOG 4393/RTOG 9614.

Authors:  Wayne M Koch; John A Ridge; Arlene Forastiere; Judith Manola
Journal:  Arch Otolaryngol Head Neck Surg       Date:  2009-09

10.  Clinicopathologic risk factors for distant metastases from head and neck squamous cell carcinomas.

Authors:  X Li; B Di; Y Shang; Y Zhou; J Cheng; Z He
Journal:  Eur J Surg Oncol       Date:  2009-07-18       Impact factor: 4.424

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  54 in total

1.  Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer.

Authors:  Jacobus Fa Jansen; Yonggang Lu; Gaorav Gupta; Nancy Y Lee; Hilda E Stambuk; Yousef Mazaheri; Joseph O Deasy; Amita Shukla-Dave
Journal:  World J Radiol       Date:  2016-01-28

2.  Evaluation of microvascular permeability of skeletal muscle and texture analysis based on DCE-MRI in alloxan-induced diabetic rabbits.

Authors:  Baiyu Liu; Lei Hu; Li Wang; Dong Xing; Lin Peng; Pianpian Chen; Feifei Zeng; Weiyin Vivian Liu; Huan Liu; Yunfei Zha
Journal:  Eur Radiol       Date:  2021-02-05       Impact factor: 5.315

3.  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.

Authors:  Shu-Hang Ng; Chun-Ta Liao; Chien-Yu Lin; Sheng-Chieh Chan; Yu-Chun Lin; Tzu-Chen Yen; Joseph Tung-Chieh Chang; Sheung-Fat Ko; Kang-Hsing Fan; Hung-Ming Wang; Lan-Yan Yang; Jiun-Jie Wang
Journal:  Eur Radiol       Date:  2016-02-24       Impact factor: 5.315

Review 4.  Potential Role of PET/MRI for Imaging Metastatic Lymph Nodes in Head and Neck Cancer.

Authors:  Sungheon Gene Kim; Kent Friedman; Sohil Patel; Mari Hagiwara
Journal:  AJR Am J Roentgenol       Date:  2016-05-10       Impact factor: 3.959

Review 5.  Biological imaging in clinical oncology: radiation therapy based on functional imaging.

Authors:  Yo-Liang Lai; Chun-Yi Wu; K S Clifford Chao
Journal:  Int J Clin Oncol       Date:  2016-07-06       Impact factor: 3.402

Review 6.  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

7.  Correlation of a priori DCE-MRI and (1)H-MRS data with molecular markers in neck nodal metastases: Initial analysis.

Authors:  Jacobus F A Jansen; Diane L Carlson; Yonggang Lu; Hilda E Stambuk; Andre L Moreira; Bhuvanesh Singh; Snehal G Patel; Dennis H Kraus; Richard J Wong; Ashok R Shaha; Jatin P Shah; Amita Shukla-Dave
Journal:  Oral Oncol       Date:  2012-02-25       Impact factor: 5.337

Review 8.  Predicting outcomes in radiation oncology--multifactorial decision support systems.

Authors:  Philippe Lambin; Ruud G P M van Stiphout; Maud H W Starmans; Emmanuel Rios-Velazquez; Georgi Nalbantov; Hugo J W L Aerts; Erik Roelofs; Wouter van Elmpt; Paul C Boutros; Pierluigi Granone; Vincenzo Valentini; Adrian C Begg; Dirk De Ruysscher; Andre Dekker
Journal:  Nat Rev Clin Oncol       Date:  2012-11-20       Impact factor: 66.675

9.  Pretreatment diffusion-weighted and dynamic contrast-enhanced MRI for prediction of local treatment response in squamous cell carcinomas of the head and neck.

Authors:  Sanjeev Chawla; Sungheon Kim; Lawrence Dougherty; Sumei Wang; Laurie A Loevner; Harry Quon; Harish Poptani
Journal:  AJR Am J Roentgenol       Date:  2013-01       Impact factor: 3.959

Review 10.  Evaluation of Head and Neck Tumors with Functional MR Imaging.

Authors:  Jacobus F A Jansen; Carlos Parra; Yonggang Lu; Amita Shukla-Dave
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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