Literature DB >> 24832359

Comparison of accuracy of intravoxel incoherent motion and apparent diffusion coefficient techniques for predicting malignancy of head and neck tumors using half-Fourier single-shot turbo spin-echo diffusion-weighted imaging.

Junichiro Sakamoto1, Akiko Imaizumi2, Yoshinori Sasaki3, Takashi Kamio4, Mamoru Wakoh5, Mika Otonari-Yamamoto6, Tsukasa Sano7.   

Abstract

PURPOSE: To evaluate the use of the intravoxel incoherent motion (IVIM) technique in half-Fourier single-shot turbo spin-echo (HASTE) diffusion-weighted imaging (DWI), and to compare its accuracy to that of apparent diffusion coefficient (ADC) to predict malignancy in head and neck tumors. PATIENTS AND METHODS: HASTE DW images of 33 patients with head and neck tumors (10 benign and 23 malignant) were evaluated. Using the IVIM technique, parameters (D, true diffusion coefficient; f, perfusion fraction; D*, pseudodiffusion coefficient) were calculated for each tumor. ADC values were measured over a range of b values from 0 to 1000s/mm(2). IVIM parameters and ADC values in benign and malignant tumors were compared using Student's t test, receiver operating characteristics (ROC) analysis, and multivariate logistic regression modeling.
RESULTS: Mean ADC and D values of malignant tumors were significantly lower than those of benign tumors (P<0.05). Mean D* values of malignant tumors were significantly higher than those of benign tumors (P<0.05). There was no significant difference in mean f values between malignant and benign tumors (P>0.05). The technique of combining D and D* was the best for predicting malignancy; accuracy for this model was higher than that for ADC.
CONCLUSIONS: The IVIM technique may be applied in HASTE DWI as a diagnostic tool to predict malignancy in head and neck masses. The use of D and D* in combination increases the diagnostic accuracy in comparison with ADC.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion magnetic resonance imaging/MT; Head and neck neoplasms/CL; Intravoxel incoherent motion; Magnetic resonance imaging

Mesh:

Substances:

Year:  2014        PMID: 24832359     DOI: 10.1016/j.mri.2014.05.002

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  14 in total

1.  Intravoxel incoherent motion diffusion-weighted imaging of resectable oesophageal squamous cell carcinoma: association with tumour stage.

Authors:  Yu-Cheng Huang; Tian-Wu Chen; Xiao-Ming Zhang; Nan-Lin Zeng; Rui Li; Yu-Lian Tang; Fan Chen; Yan-Li Chen
Journal:  Br J Radiol       Date:  2018-02-05       Impact factor: 3.039

2.  The intravoxel incoherent motion MRI of lateral pterygoid muscle: a quantitative analysis in patients with temporomandibular joint disorders.

Authors:  Supak Ngamsom; Shin Nakamura; Junichiro Sakamoto; Shinya Kotaki; Akemi Tetsumura; Tohru Kurabayashi
Journal:  Dentomaxillofac Radiol       Date:  2017-03-23       Impact factor: 2.419

3.  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

4.  Intravoxel incoherent motion imaging kinetics during chemoradiotherapy for human papillomavirus-associated squamous cell carcinoma of the oropharynx: preliminary results from a prospective pilot study.

Authors:  Yao Ding; John D Hazle; Abdallah S R Mohamed; Steven J Frank; Brian P Hobbs; Rivka R Colen; G Brandon Gunn; Jihong Wang; Jayashree Kalpathy-Cramer; Adam S Garden; Stephen Y Lai; David I Rosenthal; Clifton D Fuller
Journal:  NMR Biomed       Date:  2015-10-09       Impact factor: 4.044

5.  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

6.  Improved performance in differentiating benign from malignant sinonasal tumors using diffusion-weighted combined with dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Xin-Yan Wang; Fei Yan; Hui Hao; Jian-Xing Wu; Qing-Hua Chen; Jun-Fang Xian
Journal:  Chin Med J (Engl)       Date:  2015-03-05       Impact factor: 2.628

7.  Comparison of optimised endovaginal vs external array coil T2-weighted and diffusion-weighted imaging techniques for detecting suspected early stage (IA/IB1) uterine cervical cancer.

Authors:  Kate Downey; Ayoma D Attygalle; Veronica A Morgan; Sharon L Giles; A MacDonald; M Davis; Thomas E J Ind; John H Shepherd; Nandita M deSouza
Journal:  Eur Radiol       Date:  2015-07-11       Impact factor: 5.315

Review 8.  Diffusion magnetic resonance imaging: A molecular imaging tool caught between hope, hype and the real world of "personalized oncology".

Authors:  Abhishek Mahajan; Sneha S Deshpande; Meenakshi H Thakur
Journal:  World J Radiol       Date:  2017-06-28

9.  Head and neck paragangliomas: diffusion weighted and dynamic contrast enhanced magnetic resonance imaging characteristics.

Authors:  Ying Yuan; Huimin Shi; Xiaofeng Tao
Journal:  BMC Med Imaging       Date:  2016-02-01       Impact factor: 1.930

10.  Intravoxel Incoherent Motion MR Imaging for Staging of Hepatic Fibrosis.

Authors:  Bin Zhang; Long Liang; Yuhao Dong; Zhouyang Lian; Wenbo Chen; Changhong Liang; Shuixing Zhang
Journal:  PLoS One       Date:  2016-01-28       Impact factor: 3.240

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