Literature DB >> 28438298

Intravoxel incoherent motion magnetic resonance imaging in head and neck cancer: A systematic review of the diagnostic and prognostic value.

Daniel P Noij1, Roland M Martens2, J Tim Marcus3, Remco de Bree4, C René Leemans5, Jonas A Castelijns2, Marcus C de Jong2, Pim de Graaf2.   

Abstract

Intravoxel incoherent motion (IVIM) imaging is increasingly applied in the assessment of head and neck cancer (HNC). Our purpose was to determine the diagnostic and prognostic performance of IVIM in HNC by performing a critical review of the literature. Pubmed and EMBASE were searched until May 2016. Study and patients characteristics, imaging protocol and diagnostic or prognostic outcomes were extracted by 2 independent reviewers. The studied IVIM parameters were diffusion coefficient (D), pseudodiffusion coefficient (D∗), and perfusion fraction (f). We included 10 diagnostic studies, 5 prognostic studies and 2 studies assessing both. Studies were very heterogeneous in terms of applied b-values, imaging protocols, outcome measurements and reference standards; therefore we did not perform a meta-analysis. The most commonly used sequence was "spin-echo planar imaging". A median of 10.5 b-values (range, 3-17) were used. All but three studies included at least 4 b-values below b=200s/mm2. By combining IVIM-parameters squamous cell carcinomas, lymphomas, malignant salivary gland tumors, Warthin's tumors and pleomorphic adenomas could be differentiated with a sensitivity of 85-87% and specificity of 80-100%. Low pre-treatment D or f and an increase in D during treatment were associated with a favorable response to treatment. D∗ appeared to be the parameter with the lowest prognostic value. Future research should focus on finding the optimal IVIM protocol, using uniformly accepted study methods and larger patient populations.
Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Diagnostic performance; Diffusion-weighted Imaging; Head and neck neoplasms; Intravoxel incoherent motion; Prognostic performance; Systematic review

Mesh:

Year:  2017        PMID: 28438298     DOI: 10.1016/j.oraloncology.2017.03.016

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  15 in total

1.  Intravoxel incoherent motion diffusion-weighted MR imaging for differentiation of benign and malignant musculoskeletal tumours at 3 T.

Authors:  Hyun Kyong Lim; Won-Hee Jee; Joon-Yong Jung; Mun Young Paek; InSeong Kim; Chan-Kwon Jung; Yang-Guk Chung
Journal:  Br J Radiol       Date:  2017-12-15       Impact factor: 3.039

2.  Mutual constraining of slow component and fast component measures: some observations in liver IVIM imaging.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2021-06

3.  Assessment of salivary gland tumors using MRI and CT: impact of experience on diagnostic accuracy.

Authors:  Thomas J Vogl; Moritz H Albrecht; Nour-El-Din A Nour-Eldin; Hanns Ackermann; Adel Maataoui; Timo Stöver; Matthew W Bickford; Tatjana Stark-Paulsen
Journal:  Radiol Med       Date:  2017-09-25       Impact factor: 3.469

4.  Distinguishing early-stage nasopharyngeal carcinoma from benign hyperplasia using intravoxel incoherent motion diffusion-weighted MRI.

Authors:  Qi-Yong Ai; Ann D King; Janet S M Chan; Weitian Chen; K C Allen Chan; John K S Woo; Benny C Y Zee; Anthony T C Chan; Darren M C Poon; Brigette B Y Ma; Edwin P Hui; Anil T Ahuja; Alexander C Vlantis; Jing Yuan
Journal:  Eur Radiol       Date:  2019-03-22       Impact factor: 5.315

5.  Intravoxel incoherent motion diffusion-weighted imaging in the characterization of Alzheimer's disease.

Authors:  Nengzhi Xia; Yanxuan Li; Yingnan Xue; Weikang Li; Zhenhua Zhang; Caiyun Wen; Jiance Li; Qiong Ye
Journal:  Brain Imaging Behav       Date:  2021-09-04       Impact factor: 3.978

6.  Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) of the major salivary glands: an assessment of the optimal number and combination of b-values.

Authors:  Mitsuhiro Kimura; Hidetake Yabuuchi; Hiroshi Narita; Yoichi Kurihara; Kiyoshi Hisada; Noriyuki Sakai; Kazuya Nagatomo; Ryoji Mikayama; Masafumi Masaki; Hiroshi Kimura
Journal:  Pol J Radiol       Date:  2022-05-06

7.  Early detection treatment response for head and neck carcinomas using intravoxel incoherent motion-magnetic resonance imaging: a meta-analysis.

Authors:  Qingxu Song; Fang Li; Xin Chen; Jianbo Wang; Hong Liu; Yufeng Cheng
Journal:  Dentomaxillofac Radiol       Date:  2020-04-21       Impact factor: 2.419

8.  Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study.

Authors:  Noriyuki Fujima; Yukie Shimizu; Daisuke Yoshida; Satoshi Kano; Takatsugu Mizumachi; Akihiro Homma; Koichi Yasuda; Rikiya Onimaru; Osamu Sakai; Kohsuke Kudo; Hiroki Shirato
Journal:  Cancers (Basel)       Date:  2019-06-10       Impact factor: 6.639

Review 9.  Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.

Authors:  Mami Iima
Journal:  Magn Reson Med Sci       Date:  2020-06-15       Impact factor: 2.471

10.  An optimal acquisition and post-processing pipeline for hybrid IVIM-DKI in head and neck.

Authors:  Nienke D Sijtsema; Steven F Petit; Dirk H J Poot; Gerda M Verduijn; Aad van der Lugt; Mischa S Hoogeman; Juan A Hernandez-Tamames
Journal:  Magn Reson Med       Date:  2020-08-31       Impact factor: 4.668

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