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

被引:55
作者
Noij, Daniel P. [1 ]
Martens, Roland M. [1 ]
Marcus, J. Tim [2 ]
de Bree, Remco [3 ]
Leemans, C. Rene [4 ]
Castelijns, Jonas A. [1 ]
de Jong, Marcus C. [1 ]
de Graaf, Pim [1 ]
机构
[1] Vrije Univ Amsterdam Med Ctr, Dept Radiol & Nucl Med, De Boelelaan 1117,POB 7057, NL-1007 MB Amsterdam, Netherlands
[2] Vrije Univ Amsterdam Med Ctr, Dept Phys & Med Technol, De Boelelaan 1117,POB 7057, NL-1007 MB Amsterdam, Netherlands
[3] Univ Med Ctr Utrecht, Dept Head & Neck Surg Oncol, Heidelberglaan 100, NL-3584 CX Utrecht, Netherlands
[4] Vrije Univ Amsterdam Med Ctr, Dept Otolaryngol Head & Neck Surg, De Boelelaan 1117,POB 7057, NL-1007 MB Amsterdam, Netherlands
关键词
Head and neck neoplasms; Intravoxel incoherent motion; Diffusion-weighted Imaging; Diagnostic performance; Prognostic performance; Systematic review; APPARENT DIFFUSION-COEFFICIENT; NASOPHARYNGEAL CARCINOMA; PERFUSION CHARACTERISTICS; TREATMENT RESPONSE; IVIM-DWI; B-VALUES; TUMORS; PARAMETERS; MRI; DIFFERENTIATION;
D O I
10.1016/j.oraloncology.2017.03.016
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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 = 200 s/mm(2). 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. (C) 2017 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:81 / 91
页数:11
相关论文
共 50 条
  • [41] Intravoxel incoherent motion magnetic resonance imaging to predict vesicoureteral reflux in children with urinary tract infection
    Kim, Jeong Woo
    Lee, Chang Hee
    Yoo, Kee Hwan
    Je, Bo-Kyung
    Kiefer, Berthold
    Park, Yang Shin
    Kim, Kyeong Ah
    Park, Cheol Min
    [J]. EUROPEAN RADIOLOGY, 2016, 26 (06) : 1670 - 1677
  • [42] Intravoxel incoherent motion magnetic resonance imaging in the assessment of brain microstructure and perfusion in idiopathic normal-pressure hydrocephalus
    Bagatto, Daniele
    Piccolo, Daniele
    Fabbro, Sara
    Copetti, Stefano
    D'Agostini, Serena
    De Colle, Maria Cristina
    Belgrado, Enrico
    Tereshko, Yan
    Valente, Mariarosaria
    Vindigni, Marco
    Tuniz, Francesco
    [J]. NEURORADIOLOGY, 2024, 66 (04) : 557 - 566
  • [43] Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with benign lesions and evaluation of heterogeneity in different tumor regions with prognostic factors and molecular classification
    Zhao, Ming
    Fu, Kuang
    Zhang, Lei
    Guo, Wenhui
    Wu, Qiong
    Bai, Xue
    Li, Ziyao
    Guo, Qiang
    Tian, Jiawei
    [J]. ONCOLOGY LETTERS, 2018, 16 (04) : 5100 - 5112
  • [44] Caveat of measuring perfusion indexes using intravoxel incoherent motion magnetic resonance imaging in the human brain
    Wu, Wen-Chau
    Chen, Ya-Fang
    Tseng, Han-Min
    Yang, Shun-Chung
    My, Pei-Chi
    [J]. EUROPEAN RADIOLOGY, 2015, 25 (08) : 2485 - 2492
  • [45] Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver
    Wu, Hongzhen
    Liang, Yingying
    Jiang, Xinqing
    Wei, Xinhua
    Liu, Yu
    Liu, Weifeng
    Guo, Yuan
    Tang, Wenjie
    [J]. MEDICINE, 2018, 97 (34)
  • [46] Diffusion-weighted imaging based on intravoxel incoherent motion: correlation with molecular prognostic factors and subtypes in breast cancer
    Yang, Dan
    Ren, Yike
    Wang, Guanying
    Wang, Chunhong
    [J]. ACTA RADIOLOGICA, 2025, 66 (01) : 35 - 41
  • [47] Initial study of biexponential model of intravoxel incoherent motion magnetic resonance imaging in evaluation of the liver fibrosis
    Chen Cuiyun
    Wang Bin
    Shi Dapeng
    Fu Fangfang
    Zhang Jiliang
    Wen Zejun
    Zhu Shaocheng
    Xu Junling
    Lin Qing
    Li Jing
    Dou Shewei
    [J]. CHINESE MEDICAL JOURNAL, 2014, 127 (17) : 3082 - 3087
  • [48] Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging
    Zhu, Shao-Cheng
    Liu, Yue-Hua
    Wei, Yi
    Li, Lin-Lin
    Dou, She-Wei
    Sun, Ting-Yi
    Shi, Da-Peng
    [J]. WORLD JOURNAL OF GASTROENTEROLOGY, 2018, 24 (08) : 929 - 940
  • [49] A histogram analysis of diffusion and perfusion features of cervical cancer based on intravoxel incoherent motion magnetic resonance imaging
    Thapa, Deepa
    Wang, Panying
    Wu, Guangyao
    Wang, Xiangyu
    Sun, Qunqi
    [J]. MAGNETIC RESONANCE IMAGING, 2019, 55 : 103 - 111
  • [50] Comparison of intravoxel incoherent motion diffusion-weighted imaging between turbo spin-echo and echo-planar imaging of the head and neck
    Mikayama, Ryoji
    Yabuuchi, Hidetake
    Sonoda, Shinjiro
    Kobayashi, Koji
    Nagatomo, Kazuya
    Kimura, Mitsuhiro
    Kawanami, Satoshi
    Kamitani, Takeshi
    Kumazawa, Seiji
    Honda, Hiroshi
    [J]. EUROPEAN RADIOLOGY, 2018, 28 (01) : 316 - 324