Literature DB >> 26613878

Evaluation of Head and Neck Tumors with Functional MR Imaging.

Jacobus F A Jansen1, Carlos Parra2, Yonggang Lu3, Amita Shukla-Dave4.   

Abstract

Head and neck cancer is one of the most common cancers worldwide. MR imaging-based diffusion and perfusion techniques enable the noninvasive assessment of tumor biology and physiology, which supplement information obtained from standard structural scans. Diffusion and perfusion MR imaging techniques provide novel biomarkers that can aid monitoring in pretreatment, during treatment, and posttreatment stages to improve patient selection for therapeutic strategies; provide evidence for change of therapy regime; and evaluate treatment response. This review discusses pertinent aspects of the role of diffusion and perfusion MR imaging and computational analysis methods in studying head and neck cancer.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Data processing; Diffusion; Head and neck cancer; MR imaging; Perfusion

Mesh:

Year:  2016        PMID: 26613878      PMCID: PMC4663682          DOI: 10.1016/j.mric.2015.08.011

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  48 in total

1.  Lesion Diagnosis Working Group report.

Authors:  M D Schnall; D M Ikeda
Journal:  J Magn Reson Imaging       Date:  1999-12       Impact factor: 4.813

2.  The effects of co-occurrence matrix based texture parameters on the classification of solitary pulmonary nodules imaged on computed tomography.

Authors:  M F McNitt-Gray; N Wyckoff; J W Sayre; J G Goldin; D R Aberle
Journal:  Comput Med Imaging Graph       Date:  1999 Nov-Dec       Impact factor: 4.790

Review 3.  Non-invasive imaging of angiogenesis in head and neck squamous cell carcinoma.

Authors:  Jacobus F A Jansen; Jason A Koutcher; Amita Shukla-Dave
Journal:  Angiogenesis       Date:  2010-04-11       Impact factor: 9.596

4.  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

5.  Diagnostic accuracy of diffusion-weighted MR imaging for nasopharyngeal carcinoma, head and neck lymphoma and squamous cell carcinoma at the primary site.

Authors:  Devin Fong; Kunwar S S Bhatia; David Yeung; Ann D King
Journal:  Oral Oncol       Date:  2010-07-08       Impact factor: 5.337

6.  Cancer statistics, 2010.

Authors:  Ahmedin Jemal; Rebecca Siegel; Jiaquan Xu; Elizabeth Ward
Journal:  CA Cancer J Clin       Date:  2010-07-07       Impact factor: 508.702

7.  Dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) for differential diagnosis in head and neck cancers.

Authors:  Francis Kar-Ho Lee; Ann Dorothy King; Brigitte Buig-Yue Ma; David Ka-Wai Yeung
Journal:  Eur J Radiol       Date:  2011-03-03       Impact factor: 3.528

8.  Heterogeneity in DCE-MRI parametric maps: a biomarker for treatment response?

Authors:  L Alic; M van Vliet; C F van Dijke; A M M Eggermont; J F Veenland; W J Niessen
Journal:  Phys Med Biol       Date:  2011-02-18       Impact factor: 3.609

9.  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 10.  MR spectroscopy of head and neck cancer.

Authors:  Ahmed Abdel Khalek Abdel Razek; Harish Poptani
Journal:  Eur J Radiol       Date:  2013-02-26       Impact factor: 3.528

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  16 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.  Histogram analysis of apparent diffusion coefficient maps for differentiating malignant from benign parotid gland tumors.

Authors:  Gao Ma; Liu-Ning Zhu; Guo-Yi Su; Hao Hu; Wen Qian; Shou-Shan Bu; Xiao-Quan Xu; Fei-Yun Wu
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-07-02       Impact factor: 2.503

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

Review 4.  Recent advances in MRI of the head and neck, skull base and cranial nerves: new and evolving sequences, analyses and clinical applications.

Authors:  Philip Touska; Steve E J Connor
Journal:  Br J Radiol       Date:  2019-09-24       Impact factor: 3.039

5.  Differentiation of Malignant and Benign Head and Neck Tumors with Amide Proton Transfer-Weighted MR Imaging.

Authors:  Lu Yu; Chunmei Li; Xiaojie Luo; Jinyuan Zhou; Chen Zhang; Yi Zhang; Min Chen
Journal:  Mol Imaging Biol       Date:  2019-04       Impact factor: 3.488

6.  Quantitative parameters derived from 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging can accurately estimate the histologic grade of hypopharyngeal squamous cell carcinoma preoperatively.

Authors:  Zhaoting Meng; Lingyu Zhang; Caiyun Huang; Yingshi Piao; Xiaohong Chen; Junfang Xian
Journal:  Neuroradiology       Date:  2022-09-19       Impact factor: 2.995

7.  Predictors of Outcome after (Chemo)Radiotherapy for Node-Positive Oropharyngeal Cancer: The Role of Functional MRI.

Authors:  Pasqualina D'Urso; Alessia Farneti; Laura Marucci; Simona Marzi; Francesca Piludu; Antonello Vidiri; Giuseppe Sanguineti
Journal:  Cancers (Basel)       Date:  2022-05-18       Impact factor: 6.575

8.  Application of integrated positron emission tomography/magnetic resonance imaging in evaluating the prognostic factors of head and neck squamous cell carcinoma with positron emission tomography, diffusion-weighted imaging, dynamic contrast enhancement and combined model.

Authors:  Haodan Dang; Yu Chen; Zhuhua Zhang; Xiaohua Shi; Xingming Chen; Xiaoli Zhu; Bo Hou; Haiqun Xing; Huadan Xue; Zhengyu Jin
Journal:  Dentomaxillofac Radiol       Date:  2020-04-03       Impact factor: 2.419

Review 9.  Imaging patients with cancer of the oral cavity.

Authors:  N Drage; S Qureshi; R Lingam
Journal:  Br Dent J       Date:  2018-11-09       Impact factor: 1.626

Review 10.  Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.

Authors:  Amita Shukla-Dave; Nancy A Obuchowski; Thomas L Chenevert; Sachin Jambawalikar; Lawrence H Schwartz; Dariya Malyarenko; Wei Huang; Susan M Noworolski; Robert J Young; Mark S Shiroishi; Harrison Kim; Catherine Coolens; Hendrik Laue; Caroline Chung; Mark Rosen; Michael Boss; Edward F Jackson
Journal:  J Magn Reson Imaging       Date:  2018-11-19       Impact factor: 5.119

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