Literature DB >> 25010621

The correlation between MR diffusion-weighted imaging and pathological grades on glioma.

S-D Chen1, P-F Hou, L Lou, X Jin, T-H Wang, J-L Xu.   

Abstract

OBJECTIVE: This work intends to quantitatively analyze on pathological grade of glioma using Magnetic Resonance (MR) diffusion weighted imaging (DWI) and exploring the relativity of pathological grade and Apparent Diffusion Coefficient (ADC) value of MR diffusion weighted imaging. PATIENTS AND METHODS: 40 patients with glioma accepted the MR diffusion weighted imaging to measure the ADC value of tumor with 3.0T MR machine before the surgery. Tumor samples were sent for pathologic diagnosis and tumor cell density measurement after the operation. The acquired data were analyzed statistically.
RESULTS: The ADC values of low-grade (WHO I-II) glioma were higher than that of high-grade (WHO III-IV), but the cell density of low-grade glioma was apparently lower than that of high-grade glioma. The ADC values and density of tumor cells were negatively correlated with WHO malignant grades, while the density of cells of glioma was positively correlated with WHO malignant grades.
CONCLUSIONS: MR diffusion weighted imaging is an objective and effective examination method.

Entities:  

Mesh:

Year:  2014        PMID: 25010621

Source DB:  PubMed          Journal:  Eur Rev Med Pharmacol Sci        ISSN: 1128-3602            Impact factor:   3.507


  8 in total

1.  An overview of neuro-oncology research and practice in Iran, three years with the NOSC initiative.

Authors:  Peiman Haddad; Sohrab Shazadi; Farhad Samiei; Homayoun Hadizadeh Kharrazi; Morteza Tabatabaeefar; Afshin Rakhsha; Mohammad Faranoosh; Mohammad Torabi-Nami; Ali Dadras; Atieh Liaghi; Leila Nafarieh
Journal:  Int J Clin Exp Med       Date:  2015-03-15

Review 2.  'Low grade glioma': an update for radiologists.

Authors:  Jennifer Larsen; Steve B Wharton; Fiona McKevitt; Charles Romanowski; Caroline Bridgewater; Hesham Zaki; Nigel Hoggard
Journal:  Br J Radiol       Date:  2016-12-07       Impact factor: 3.039

3.  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

4.  Noninvasively evaluating the grading and IDH1 mutation status of diffuse gliomas by three-dimensional pseudo-continuous arterial spin labeling and diffusion-weighted imaging.

Authors:  Tingting Liu; Guang Cheng; Xiaowei Kang; Yibin Xi; Yuanqiang Zhu; Kai Wang; Chao Sun; Jing Ye; Ping Li; Hong Yin
Journal:  Neuroradiology       Date:  2018-05-18       Impact factor: 2.804

5.  An Eighteen Serum Cytokine Signature for Discriminating Glioma from Normal Healthy Individuals.

Authors:  Mamatha B Nijaguna; Vikas Patil; Alangar S Hegde; Bangalore A Chandramouli; Arimappamagan Arivazhagan; Vani Santosh; Kumaravel Somasundaram
Journal:  PLoS One       Date:  2015-09-21       Impact factor: 3.240

6.  Brain Tumor Characterization Using Multibiometric Evaluation of MRI.

Authors:  Faris Durmo; Jimmy Lätt; Anna Rydelius; Silke Engelholm; Sara Kinhult; Krister Askaner; Elisabet Englund; Johan Bengzon; Markus Nilsson; Isabella M Björkman-Burtscher; Thomas Chenevert; Linda Knutsson; Pia C Sundgren
Journal:  Tomography       Date:  2018-03

7.  Correlation between apparent diffusion coefficient (ADC) and cellularity is different in several tumors: a meta-analysis.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Oncotarget       Date:  2017-05-10

8.  Magnetic Resonance Imaging Derived Biomarkers of IDH Mutation Status and Overall Survival in Grade III Astrocytomas.

Authors:  Paola Feraco; Antonella Bacci; Patrizia Ferrazza; Luc van den Hauwe; Riccardo Pertile; Salvatore Girlando; Mattia Barbareschi; Cesare Gagliardo; Alessio Giuseppe Morganti; Benedetto Petralia
Journal:  Diagnostics (Basel)       Date:  2020-04-23
  8 in total

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