Literature DB >> 24309151

Correlation of diffusion tensor, dynamic susceptibility contrast MRI and (99m)Tc-Tetrofosmin brain SPECT with tumour grade and Ki-67 immunohistochemistry in glioma.

George A Alexiou1, Anastasia Zikou2, Spyridon Tsiouris3, Anna Goussia4, Paraskevi Kosta2, Athanasios Papadopoulos3, Spyridon Voulgaris5, Athanasios P Kyritsis6, Andreas D Fotopoulos3, Maria I Argyropoulou2.   

Abstract

OBJECTIVE: Assessment of the grade and type of glioma is of paramount importance for prognosis. Tumour proliferative potentials may provide additional information on the behaviour of the tumour, its response to treatment and prognosis. The purpose of this study was to investigate the correlation between diffusion tensor imaging (DTI), dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) and (99m)Tc-Tetrofosmin brain single-photon emission computed tomography (SPECT), and the tumour grade and Ki-67 labelling index in newly diagnosed gliomas.
METHODS: Study was made of patients with suspected glioma on brain MRI between December 2010 and January 2012, by DTI, DSC MRI and (99m)Tc-Tetrofosmin brain SPECT. The proliferative activity of each tumour was measured by deriving the Ki-67 proliferation index from immunohistochemical staining of tumour specimens.
RESULTS: Glioma was newly diagnosed in 25 patients (17 men, 8 women, aged 19-79 years, median 55 years). The Ki-67 index ranged from 1% to 80% (mean 19.4%). On evaluation of the relationship between the (99m)Tc-Tetrofosmin tumour uptake by gliomas was found to be significantly correlated with cellular proliferation (rho=0.924, p<0.0001). Regarding DTI, significant negative correlation was demonstrated between the apparent diffusion coefficient (ADC) ratio and the Ki-67 index (rho=-0.545, p=0.0087). Significant correlation was also observed between the fractional anisotropy (FA) ratio and the Ki-67 index (rho=0.489, p=0.02). Strong correlation was found between relative cerebral blood volume (rCBV) and Ki-67 index (rho=0.853, p<0.0001), and between the (99m)Tc-Tetrofosmin lesion-to-normal (L/N) uptake ratio and rCBV (rho=0.808, p ≤ 0.0001). Significant negative correlation was demonstrated between the (99m)Tc-Tetrofosmin L/N ratio and ADC ratio (rho=-0.513, p=0.014). These imaging techniques were able to distinguish between low-grade and high-grade gliomas.
CONCLUSIONS: Findings on DSC MRI and brain SPECT with (99m)Tc-Tetrofosmin metrics were more closely correlated with glioma cellular proliferation.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  (99m)Tc-Tetrofosmin; Diffusion tensor imaging; Glioma; Perfusion imaging; SPECT

Mesh:

Substances:

Year:  2013        PMID: 24309151     DOI: 10.1016/j.clineuro.2013.11.003

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  14 in total

1.  Perfusion imaging of brain gliomas using arterial spin labeling: correlation with histopathological vascular density in MRI-guided biopsies.

Authors:  Di Ningning; Pang Haopeng; Dang Xuefei; Cheng Wenna; Ren Yan; Wu Jingsong; Yao Chengjun; Yao Zhenwei; Feng Xiaoyuan
Journal:  Neuroradiology       Date:  2016-12-06       Impact factor: 2.804

2.  Histogram analysis of diffusion kurtosis imaging derived maps may distinguish between low and high grade gliomas before surgery.

Authors:  Xi-Xun Qi; Da-Fa Shi; Si-Xie Ren; Su-Ya Zhang; Long Li; Qing-Chang Li; Li-Ming Guan
Journal:  Eur Radiol       Date:  2017-11-16       Impact factor: 5.315

3.  A combined diffusion tensor imaging and Ki-67 labeling index study for evaluating the extent of tumor infiltration using the F98 rat glioma model.

Authors:  Kai Wang; Tingting Ha; Xuzhu Chen; Shaowu Li; Lin Ai; Jun Ma; Jianping Dai
Journal:  J Neurooncol       Date:  2018-01-02       Impact factor: 4.130

4.  Arterial spin-labeling perfusion MRI stratifies progression-free survival and correlates with epidermal growth factor receptor status in glioblastoma.

Authors:  X J Qiao; B M Ellingson; H J Kim; D J J Wang; N Salamon; M Linetsky; A R Sepahdari; B Jiang; J J Tian; S R Esswein; T F Cloughesy; A Lai; L Nghiemphu; W B Pope
Journal:  AJNR Am J Neuroradiol       Date:  2014-12-26       Impact factor: 3.825

5.  Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

Authors:  Yiming Li; Zenghui Qian; Kaibin Xu; Kai Wang; Xing Fan; Shaowu Li; Xing Liu; Yinyan Wang; Tao Jiang
Journal:  J Neurooncol       Date:  2017-09-12       Impact factor: 4.130

6.  Monoexponential, biexponential and stretched exponential models of diffusion weighted magnetic resonance imaging in glioma in relation to histopathologic grade and Ki-67 labeling index using high B values.

Authors:  Nabin Chaudhary; Guiling Zhang; Shihui Li; Wenzhen Zhu
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

7.  Comparison among conventional and advanced MRI, 18F-FDG PET/CT, phenotype and genotype in glioblastoma.

Authors:  Maria Consuelo Valentini; Marta Mellai; Laura Annovazzi; Antonio Melcarne; Tetyana Denysenko; Paola Cassoni; Cristina Casalone; Cristiana Maurella; Silvia Grifoni; Piercarlo Fania; Angelina Cistaro; Davide Schiffer
Journal:  Oncotarget       Date:  2017-10-04

8.  Quantitative analysis of neurite orientation dispersion and density imaging in grading gliomas and detecting IDH-1 gene mutation status.

Authors:  Jing Zhao; Ji-Bin Li; Jing-Yan Wang; Yu-Liang Wang; Da-Wei Liu; Xin-Bei Li; Yu-Kun Song; Yi-Su Tian; Xu Yan; Zhu-Hao Li; Shao-Fu He; Xiao-Long Huang; Li Jiang; Zhi-Yun Yang; Jian-Ping Chu
Journal:  Neuroimage Clin       Date:  2018-04-12       Impact factor: 4.881

9.  Reduction of intratumoral brain perfusion by noninvasive transcranial electrical stimulation.

Authors:  G Sprugnoli; L Monti; L Lippa; F Neri; L Mencarelli; G Ruffini; R Salvador; G Oliveri; B Batani; D Momi; A Cerase; A Pascual-Leone; A Rossi; S Rossi; E Santarnecchi
Journal:  Sci Adv       Date:  2019-08-14       Impact factor: 14.136

10.  Diffusion kurtosis imaging can efficiently assess the glioma grade and cellular proliferation.

Authors:  Rifeng Jiang; Jingjing Jiang; Lingyun Zhao; Jiaxuan Zhang; Shun Zhang; Yihao Yao; Shiqi Yang; Jingjing Shi; Nanxi Shen; Changliang Su; Ju Zhang; Wenzhen Zhu
Journal:  Oncotarget       Date:  2015-12-08
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