Literature DB >> 28655406

State of the art MRI in head and neck cancer.

Y L Dai1, A D King2.   

Abstract

Head and neck cancer affects more than 11,000 new patients per year in the UK1 and imaging has an important role in the diagnosis, treatment planning, and assessment, and post-treatment surveillance of these patients. The anatomical detail produced by magnetic resonance imaging (MRI) is ideally suited to staging and follow-up of primary tumours and cervical nodal metastases in the head and neck; however, anatomical images have limitations in cancer imaging and so increasingly functional-based MRI techniques, which provide molecular, metabolic, and physiological information, are being incorporated into MRI protocols. This article reviews the state of the art of these functional MRI techniques with emphasis on those that are most relevant to the current management of patients with head and neck cancer.
Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28655406     DOI: 10.1016/j.crad.2017.05.020

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  10 in total

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Authors:  Yuzhen Xi; Xiuhong Ge; Haiming Ji; Luoyu Wang; Shaofeng Duan; Haonan Chen; Mengze Wang; Hongjie Hu; Feng Jiang; Zhongxiang Ding
Journal:  Front Oncol       Date:  2022-04-22       Impact factor: 5.738

2.  Imaging biomarkers in the diagnosis of salivary gland tumors: the value of lesion/parenchyma ratio of perfusion-MR pharmacokinetic parameters.

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Journal:  Radiol Med       Date:  2021-06-28       Impact factor: 3.469

3.  Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.

Authors:  Lisanne V van Dijk; Clifton D Fuller
Journal:  Am Soc Clin Oncol Educ Book       Date:  2021-03

4.  A comparison among gamma distribution, intravoxel incoherent motion, and mono-exponential models with turbo spin-echo diffusion-weighted MR imaging in the differential diagnosis of orofacial lesions.

Authors:  Wannakamon Panyarak; Toru Chikui; Kenji Tokumori; Yasuo Yamashita; Takeshi Kamitani; Osamu Togao; Shintaro Kawano; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2021-07-28       Impact factor: 2.419

Review 5.  Imaging of head and neck mucosa-associated lymphoid tissue lymphoma (MALToma).

Authors:  K W S Ko; Kunwar S Bhatia; Qi Yong H Ai; Ann D King
Journal:  Cancer Imaging       Date:  2021-01-12       Impact factor: 3.909

6.  Classification of parotid gland tumors by using multimodal MRI and deep learning.

Authors:  Yi-Ju Chang; Teng-Yi Huang; Yi-Jui Liu; Hsiao-Wen Chung; Chun-Jung Juan
Journal:  NMR Biomed       Date:  2020-09-04       Impact factor: 4.044

7.  Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study.

Authors:  Cindy Xue; Jing Yuan; Yihang Zhou; Oi Lei Wong; Kin Yin Cheung; Siu Ki Yu
Journal:  Vis Comput Ind Biomed Art       Date:  2022-04-01

8.  Radiomics Nomogram Based on Multiple-Sequence Magnetic Resonance Imaging Predicts Long-Term Survival in Patients Diagnosed With Nasopharyngeal Carcinoma.

Authors:  Kai Liu; Qingtao Qiu; Yonghui Qin; Ting Chen; Diangang Zhang; Li Huang; Yong Yin; Ruozheng Wang
Journal:  Front Oncol       Date:  2022-04-07       Impact factor: 5.738

9.  Multimodal magnetic resonance imaging for the diagnosis of parotid gland malignancies: systematic review and meta-analysis.

Authors:  Zhi-Qun Li; Jin-Niao Gao; Shan Xu; Yusen Shi; Xudong Liu; Xiuzhu Li; Jianghua Wan
Journal:  Transl Cancer Res       Date:  2022-07       Impact factor: 0.496

10.  Intravoxel Incoherent Motion Magnetic Resonance Imaging for Assessing Parotid Gland Tumors: Correlation and Comparison with Arterial Spin Labeling Imaging.

Authors:  Gao Ma; Xiao Quan Xu; Liu Ning Zhu; Jia Suo Jiang; Guo Yi Su; Hao Hu; Shou Shan Bu; Fei Yun Wu
Journal:  Korean J Radiol       Date:  2020-09-10       Impact factor: 3.500

  10 in total

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