Literature DB >> 30598882

Quantitative diffusion magnetic resonance imaging in head and neck tumors.

Seyedmehdi Payabvash1.   

Abstract

In patients with head and neck cancer, conventional anatomical magnetic resonance imaging (MRI) scans are commonly used for identification of primary lesion, assessment of structural distortion, and presence of metastatic lymph nodes. However, quantitative analysis of diffusion MRI can provide added value to structural and anatomical evaluation of head and neck tumors (HNT), by differentiation of primary malignant process, prognostic prediction, and treatment monitoring. In this article, we will review the applications of quantitative diffusion MRI in identification of primary malignant tissue, differentiation of tumor pathology, prediction of molecular phenotype, monitoring of treatment response, and evaluation of posttreatment changes in patient with HNT.

Entities:  

Keywords:  Diffusion weighted imaging (DWI); head and neck cancer; intravoxel incoherent motion (IVIM); squamous cell carcinoma (SCC)

Year:  2018        PMID: 30598882      PMCID: PMC6288053          DOI: 10.21037/qims.2018.10.14

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  13 in total

1.  Differentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis.

Authors:  Seyedmehdi Payabvash; Alexandria Brackett; Reza Forghani; Ajay Malhotra
Journal:  Neuroradiology       Date:  2019-06-07       Impact factor: 2.804

2.  Synthetic MRI in differentiating benign from metastatic retropharyngeal lymph node: combination with diffusion-weighted imaging.

Authors:  Peng Wang; Shudong Hu; Xiuyu Wang; Yuxi Ge; Jing Zhao; Hongyan Qiao; Jun Chang; Weiqiang Dou; Heng Zhang
Journal:  Eur Radiol       Date:  2022-08-11       Impact factor: 7.034

3.  Amide Proton Transfer Imaging vs Diffusion Kurtosis Imaging for Predicting Histological Grade of Hepatocellular Carcinoma.

Authors:  Baolin Wu; Fei Jia; Xuekun Li; Meng Zhang; Dongming Han; Zhiyun Jia
Journal:  J Hepatocell Carcinoma       Date:  2020-10-09

4.  IMAge/enGINE: a freely available software for rapid computation of high-dimensional quantification.

Authors:  Ming Yang; Yaping Yan; He Wang
Journal:  Quant Imaging Med Surg       Date:  2019-02

5.  Diffusion kurtosis imaging (DKI) of hepatocellular carcinoma: correlation with microvascular invasion and histologic grade.

Authors:  Likun Cao; Jie Chen; Ting Duan; Min Wang; Hanyu Jiang; Yi Wei; Chunchao Xia; Xiaoyue Zhou; Xu Yan; Bin Song
Journal:  Quant Imaging Med Surg       Date:  2019-04

6.  Diagnostic accuracy of single-source dual-energy computed tomography and ultrasonography for detection of lateral cervical lymph node metastases of papillary thyroid carcinoma.

Authors:  Lin Li; Sai-Nan Cheng; Yan-Feng Zhao; Xiao-Yi Wang; De-Hong Luo; Yong Wang
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

7.  Adiposity and the risk of thyroid nodules with a high-suspicion sonographic pattern: a large cross-sectional epidemiological study.

Authors:  Xingjian Lai; Bo Zhang; Yong Wang; Yuxin Jiang; Jianchu Li; Luying Gao; Ying Wang
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

8.  Apparent Diffusion Coefficient for Distinguishing Between Malignant and Benign Lesions in the Head and Neck Region: A Systematic Review and Meta-Analysis.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Front Oncol       Date:  2020-01-08       Impact factor: 6.244

9.  Assessment of metastatic lymph nodes in head and neck squamous cell carcinomas using simultaneous 18F-FDG-PET and MRI.

Authors:  Jenny Chen; Mari Hagiwara; Babak Givi; Brian Schmidt; Cheng Liu; Qi Chen; Jean Logan; Artem Mikheev; Henry Rusinek; Sungheon Gene Kim
Journal:  Sci Rep       Date:  2020-11-27       Impact factor: 4.379

10.  Multiparametric functional MRI and 18F-FDG-PET for survival prediction in patients with head and neck squamous cell carcinoma treated with (chemo)radiation.

Authors:  Roland M Martens; Thomas Koopman; Cristina Lavini; Meedie Ali; Carel F W Peeters; Daniel P Noij; Gerben Zwezerijnen; J Tim Marcus; Marije R Vergeer; C René Leemans; Remco de Bree; Pim de Graaf; Ronald Boellaard; Jonas A Castelijns
Journal:  Eur Radiol       Date:  2020-08-26       Impact factor: 5.315

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