Literature DB >> 26977789

[A correlation between diffusion kurtosis imaging and the proliferative activity of brain glioma].

A S Tonoyan1, I N Pronin1, D I Pitshelauri1, L V Shishkina1, L M Fadeeva1, E L Pogosbekyan1, N E Zakharova1, E I Shults1, N V Khachanova1, V N Kornienko1, A A Potapov1.   

Abstract

UNLABELLED: The aim of the study was to assess the capabilities of diffusion kurtosis imaging (DKI) in diagnosis of the glioma proliferative activity and to evaluate a relationship between the glioma proliferative activity index and diffusion parameters of the contralateral normal appearing white matter (CNAWM).
MATERIAL AND METHODS: The study included 47 patients with newly diagnosed brain gliomas (23 low grade, 13 grade III, and 11 grade IV gliomas). We determined a relationship between absolute and normalized parameters of the diffusion tensor (mean (MD), axial (AD), and radial (RD) diffusivities; fractional (FA) and relative (RA) anisotropies) and diffusion kurtosis (mean (MK), axial (AK), and radial (RK) kurtosis; kurtosis anisotropy (KA)) and the proliferative activity index in the most malignant glioma parts (p<0.05). We also established a relationship between the tensor and kurtosis parameters of CNAWM and the glioma proliferative activity index (p<0.05).
RESULTS: The correlation between all the absolute and normalized diffusion parameters and the glioma proliferative activity index, except absolute and normalized FA and RA values, was found to be statistically significant (p<0.05). Kurtosis (MK, AK, and RK) and anisotropy (KA, FA, RA) values increased, and diffusivity (MD, AD, RD) values decreased as the glioma proliferative activity index increased. A strong correlation between the proliferative activity index and absolute RK (r=0,71; p=0.000001) and normalized values of MK (r=0.8; p=0.000001), AK (r=0.71; p=0.000001), RK (r=0.81; p=0.000001), and RD (r=-0.71; p=0.000001) was found. A weak, but statistically significant correlation between the glioma proliferative activity index and diffusion values RK (r=-0.36; p=0.014), KA (r=-0.39; p=0.007), RD (r=0.35; p=0.017), FA (r=-0.42; p=0.003), and RA (r=-0.41; p=0.004) of CNAWM was found.
CONCLUSION: DKI has good capabilities to detect immunohistochemical changes in gliomas. DKI demonstrated a high sensitivity in detection of microstructural changes in the contralateral normal appearing white matter in patients with brain gliomas.

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Year:  2015        PMID: 26977789     DOI: 10.17116/neiro20157965-14

Source DB:  PubMed          Journal:  Zh Vopr Neirokhir Im N N Burdenko        ISSN: 0042-8817


  3 in total

1.  Prediction of Lower Grade Insular Glioma Molecular Pathology Using Diffusion Tensor Imaging Metric-Based Histogram Parameters.

Authors:  Zhenxing Huang; Changyu Lu; Gen Li; Zhenye Li; Shengjun Sun; Yazhuo Zhang; Zonggang Hou; Jian Xie
Journal:  Front Oncol       Date:  2021-03-10       Impact factor: 6.244

2.  Differentiation between malignant and benign musculoskeletal tumors using diffusion kurtosis imaging.

Authors:  Masaki Ogawa; Hirohito Kan; Nobuyuki Arai; Taro Murai; Yoshihiko Manabe; Yusuke Sawada; Yuta Shibamoto
Journal:  Skeletal Radiol       Date:  2018-05-09       Impact factor: 2.199

3.  Diffusional Characteristics of Brain Matter after Stroke.

Authors:  K V Zhuravleva; A A Savelov; A M Korostyshevskaya; M B Shtark
Journal:  Bull Exp Biol Med       Date:  2022-02-17       Impact factor: 0.737

  3 in total

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