Literature DB >> 25413245

Relationship between intravoxel incoherent motion diffusion-weighted MRI and dynamic contrast-enhanced MRI in tissue perfusion of cervical cancers.

Elaine Yuen Phin Lee1, Edward Sai Kam Hui1, Karen Kar Loen Chan2, Ka Yu Tse2, Wai Kay Kwong3, Tien Yee Chang4, Queenie Chan5, Pek-Lan Khong1.   

Abstract

PURPOSE: To investigate the relationship between intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) and dynamic contrast-enhanced MRI (DCE-MRI) in cervical cancer perfusion.
MATERIALS AND METHODS: Prospective newly diagnosed cervical cancer patients underwent diffusion-weighted MRI (13 b-values: 1-1000 s/mm(2) ) and DCE-MRI. The IVIM perfusion parameters, perfusion fraction (f), pseudodiffusion coefficient (D*), and flow-related parameter (fD*), were derived from a biexponential decay model. DCE-MRI was analyzed with a pharmacokinetic model and signal-time curve to derive the amplitude factor (A), estimated volume transfer constant between blood plasma, and the extravascular extracellular space (est K(trans) ), maximum relative enhancement (MaxRE), and area under the signal-time curve (AUC). Spearman's rank correlation coefficient (r) evaluated the correlative relationships.
RESULTS: The f = 13.51% ± 1.76%, D* = 71.72 ± 7.55 × 10(-3) mm(2) /s, fD* = 9.64 ± 1.28 × 10(-3) mm(2) /s, A = 1.41 ± 0.43, est K(trans) = 0.19 ± 0.06 s(-1) , MaxRE of 120.02 ± 21.07%, and AUC 212,393 ± 54,423 was found in 25 cervical cancer patients. Statistically significant positive correlations were found between fD* and est K(trans) (r = 0.42, P = 0.038), fD* and A (r = 0.50, P = 0.011), fD* and MaxRE (r = 0.52, P = 0.008), f and AUC (r = 0.58, P = 0.003).
CONCLUSION: The IVIM perfusion parameters showed moderate to good correlations with quantitative and semiquantitative perfusion parameters derived from DCE-MRI in cervical cancer.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  DCE-MRI; IVIM; cervical cancer; intravoxel incoherent motion; perfusion

Mesh:

Substances:

Year:  2014        PMID: 25413245     DOI: 10.1002/jmri.24808

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  20 in total

1.  Intravoxel incoherent motion diffusion-weighted imaging of hepatocellular carcinoma: Is there a correlation with flow and perfusion metrics obtained with dynamic contrast-enhanced MRI?

Authors:  Stefanie J Hectors; Mathilde Wagner; Cecilia Besa; Octavia Bane; Hadrien A Dyvorne; M Isabel Fiel; Hongfa Zhu; Michael Donovan; Bachir Taouli
Journal:  J Magn Reson Imaging       Date:  2016-02-26       Impact factor: 4.813

2.  Contribution of mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging in the diagnosis and differentiation of uterine cervical carcinoma.

Authors:  Meng Lin; Xiaoduo Yu; Yan Chen; Han Ouyang; Bing Wu; Dandan Zheng; Chunwu Zhou
Journal:  Eur Radiol       Date:  2016-09-27       Impact factor: 5.315

3.  Optimization of intravoxel incoherent motion (IVIM): variability of parameters measurements using a reduced distribution of b values for breast tumors analysis.

Authors:  Natacha Raissa Doudou; Yajie Liu; Sylvanus Kampo; Kai Zhang; Yue Dai; Shaowu Wang
Journal:  MAGMA       Date:  2019-09-30       Impact factor: 2.310

4.  Intravoxel incoherent motion magnetic resonance imaging of the knee joint in children with juvenile idiopathic arthritis.

Authors:  Fabian Hilbert; Annette Holl-Wieden; Alexander Sauer; Herbert Köstler; Henning Neubauer
Journal:  Pediatr Radiol       Date:  2017-03-10

5.  The diagnostic value of intravoxel incoherent motion imaging in differentiating high-grade from low-grade gliomas: a systematic review and meta-analysis.

Authors:  Hechuan Luo; Ling He; Weiqin Cheng; Sijie Gao
Journal:  Br J Radiol       Date:  2021-05-01       Impact factor: 3.039

6.  MRI texture features may predict differentiation and nodal stage of cervical cancer: a pilot study.

Authors:  Anton S Becker; Soleen Ghafoor; Magda Marcon; Jose A Perucho; Moritz C Wurnig; Matthias W Wagner; Pek-Lan Khong; Elaine Yp Lee; Andreas Boss
Journal:  Acta Radiol Open       Date:  2017-10-17

7.  Assessment of Correlation between Intravoxel Incoherent Motion Diffusion Weighted MR Imaging and Dynamic Contrast-Enhanced MR Imaging of Sacroiliitis with Ankylosing Spondylitis.

Authors:  Yinghua Zhao; Qun Zhang; Zhiming Xiang; Shaolin Li; Wei Li; Yanqiu Feng; Yihao Guo
Journal:  Biomed Res Int       Date:  2017-12-27       Impact factor: 3.411

Review 8.  Hypoxia in cervical cancer: from biology to imaging.

Authors:  Heidi Lyng; Eirik Malinen
Journal:  Clin Transl Imaging       Date:  2017-07-10

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.  Intravoxel Incoherent Motion Diffusion Weighted Magnetic Resonance Imaging for Differentiation Between Nasopharyngeal Carcinoma and Lymphoma at the Primary Site.

Authors:  Xiao-Ping Yu; Jing Hou; Fei-Ping Li; Hui Wang; Ping-Sheng Hu; Feng Bi; Wei Wang
Journal:  J Comput Assist Tomogr       Date:  2016 May-Jun       Impact factor: 1.826

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