Previous Page  8 / 14 Next Page
Information
Show Menu
Previous Page 8 / 14 Next Page
Page Background

Page 25

conferenceseries

.com

Volume 4

Clinical Neuropsychology: Open Access

Neuropsychiatry 2018

August 27-28, 2018

August 27-28, 2018 Tokyo, Japan

8

th

Global Experts Meeting on

Advances in Neurology and Neuropsychiatry

Yi Wah Eva Cheung, ClinNeuropsychol 2018, Volume 3

DOI: 10.4172/2472-095X-C1-002

The role of structural MRI and functional MRI in brain tumor characterization

Yi Wah Eva Cheung

Tung Wah College, Hong Kong

Purpose:

To evaluate the effectiveness of using functional MRI in differentiation of brain tumors, using Apparent Diffusion

Coefficient (ADC) values.

Material & Method:

3T brain MR images were reviewed retrospectively in 66 patients with 73 brain tumors comprised of

different types of malignant tumors. The MR protocol included T1w, T2w, T1w+C and DW-MRI was performed using single-

shot Echoplanar (EPI) sequence with b gradient factor value of 0, 500 and 1000 s/mm

2

in the three orthogonal axes. Five

Regions Of Interest (ROI) with volume of 5±1.5 mm

3

were placed on tumor areas and the minimum Apparent Diffusion

Coefficient (ADC

MIN

) values were obtained, necrotic and vasogenic edema area and correlated with the histopathology results.

ADC

MIN

values between Lymphoma vs. GBM, Atypical Meningioma vs. Meningioma, Lymphoma vs. Demyelination, GBM vs.

metastatic tumor, Low Grade Glioma vs. High Grade Glioma, were compared using Mann-Whitney test. The ADC

MIN

values

in different types of gliomas were assessed using Kruskal-Wallis test with pairwise multiple comparison.

Results:

The mean ADC

MIN

is significantly lower in patients with Lymphoma (0.716x10

-3

mm

2

/sec) than GBM (1.052x10

-3

mm

2

/sec) (p=0.001); the mean ADC

MIN

of Atypical Meningioma (0.755x10

-3

mm

2

/sec) is significantly lower than Meningioma

(1.114x10

-3

mm

2

/sec) (p=0.012); themeanADC

MIN

of Lymphoma (0.716x10

-3

mm

2

/sec) is significantly lower thanDemyelination

(1.832x10

-3

mm

2

/sec) (p=0.057). The mean ADC

MIN

values between GBM (1.052x10

-3

mm

2

/sec) and metastatic tumor (0.8-

1.1x10

-3

mm

2

/sec) were similar, which cannot be used to differentiated (p=0.910). Regarding gliomas, the mean ADC

MIN

of

high grade gliomas (1.064x10

-3

mm

2

/sec) is significant lower than that of low grade gliomas (1.455x10

-3

mm

2

/sec) (p=0.001).

The mean ADC

MIN

of necrotic tumors is 2.234mm

2

/sec and the mean ADC

MIN

vasogenic edema is 1.319 mm

2

/sec.

Conclusion:

The ADC

MIN

values provide practical information which can be used for the differentiation of specific brain tumor

histology as well as glioma types. DWI can improve imaging diagnosis in the clinical setting, compared to using structural MRI

scans alone.

Biography

Yi Wah Eva Cheung has completed her MSc in Biomedical Engineering from Chinese University of Hong Kong and MSc in Medical Engineering and Physics from

King’s College London, UK. Currently, she is pursuing her PhD in University of Hong Kong. She is a Senior Clinical Associate in Tung Wah College, teaching BSc

in Radiation Therapy at Tung Wah College, Hong Kong.

cheungevayw@gmail.com