Literature DB >> 28454487

Diffusion kurtosis imaging of the liver at 3 Tesla: in vivo comparison to standard diffusion-weighted imaging.

Johannes Budjan1, Elke A Sauter1, Frank G Zoellner2, Andreas Lemke2, Jens Wambsganss1, Stefan O Schoenberg1, Ulrike I Attenberger1.   

Abstract

Background Functional techniques like diffusion-weighted imaging (DWI) are gaining more and more importance in liver magnetic resonance imaging (MRI). Diffusion kurtosis imaging (DKI) is an advanced technique that might help to overcome current limitations of DWI. Purpose To evaluate DKI for the differentiation of hepatic lesions in comparison to conventional DWI at 3 Tesla. Material and Methods Fifty-six consecutive patients were examined using a routine abdominal MR protocol at 3 Tesla which included DWI with b-values of 50, 400, 800, and 1000 s/mm2. Apparent diffusion coefficient maps were calculated applying a standard mono-exponential fit, while a non-Gaussian kurtosis fit was used to obtain DKI maps. ADC as well as Kurtosis-corrected diffusion ( D) values were quantified by region of interest analysis and compared between lesions. Results Sixty-eight hepatic lesions (hepatocellular carcinoma [HCC] [n = 25]; hepatic adenoma [n = 4], cysts [n = 18]; hepatic hemangioma [HH] [n = 18]; and focal nodular hyperplasia [n = 3]) were identified. Differentiation of malignant and benign lesions was possible based on both DWI ADC as well as DKI D-values ( P values were in the range of 0.04 to < 0.0001). Conclusion In vivo abdominal DKI calculated using standard b-values is feasible and enables quantitative differentiation between malignant and benign liver lesions. Assessment of conventional ADC values leads to similar results when using b-values below 1000 s/mm2 for DKI calculation.

Entities:  

Keywords:  3 Tesla; Magnetic resonance imaging (MRI); diffusion kurtosis imaging (DKI); diffusion-weighted imaging (DWI); focal liver lesions; liver

Mesh:

Year:  2017        PMID: 28454487     DOI: 10.1177/0284185117706608

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  7 in total

1.  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

2.  T2*-weighted imaging and diffusion kurtosis imaging (DKI) of rectal cancer: correlation with clinical histopathologic prognostic factors.

Authors:  Shan Hu; Yang Peng; Qiushi Wang; Bin Liu; Ihab Kamel; Zaiyi Liu; Changhong Liang
Journal:  Abdom Radiol (NY)       Date:  2021-12-27

3.  Diffusion Kurtosis MR Imaging versus Conventional Diffusion-Weighted Imaging for Distinguishing Hepatocellular Carcinoma from Benign Hepatic Nodules.

Authors:  Yingmei Jia; Huasong Cai; Meng Wang; Yanji Luo; Ling Xu; Zhi Dong; Xu Yan; Zi-Ping Li; Shi-Ting Feng
Journal:  Contrast Media Mol Imaging       Date:  2019-07-17       Impact factor: 3.161

4.  Advanced diffusion imaging of abdominal organs in different hydration states of the human body: stability of biomarkers.

Authors:  Jūratė Kemėšienė; Alexander Rühle; Ryszard Gomolka; Moritz C Wurnig; Cristina Rossi; Andreas Boss
Journal:  Heliyon       Date:  2021-01-28

5.  Comparison of models of diffusion in Wilms' tumours and normal contralateral renal tissue.

Authors:  Harriet J Rogers; Martijn V Verhagen; Chris A Clark; Patrick W Hales
Journal:  MAGMA       Date:  2020-07-02       Impact factor: 2.310

6.  The value of the apparent diffusion coefficient value in the Liver Imaging Reporting and Data System (LI-RADS) version 2018.

Authors:  Gehad Ahmad Saleh; Ahmed Abdel Khalek Abdel Razek; Lamiaa Galal El-Serougy; Walaa Shabana; Rihame Abd El-Wahab
Journal:  Pol J Radiol       Date:  2022-01-17

7.  3D variable flip angle T1 mapping for differentiating benign and malignant liver lesions at 3T: comparison with diffusion weighted imaging.

Authors:  Fei Wang; Qing Yang; Yupei Zhang; Jun Liu; Mengxiao Liu; Juan Zhu
Journal:  BMC Med Imaging       Date:  2022-08-18       Impact factor: 2.795

  7 in total

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