Document Type : Research Articles
Authors
1
Department of Radiology, Faculty of Paramedical Sciences, Kurdistan University of Medical Sciences, Sanandaj, Iran.
2
Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran.
3
Department of Radiation Medicine Engineering, Shahid Beheshti University, Evin, Tehran, Iran.
4
Department of Neurosurgery, Shohada-E Tajrish Hospital, Chairman of the Medical Council of Iran, Tehran, Iran.
5
Department of Radiology, Shohada-E Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
6
Department of Radiotherapy, Faculty of Paramedical Sciences, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Abstract
Introduction: Brain tumors if timely diagnosed are sure to be treated through shorter processes. MRI amongst
others is of Para clinical methods greatly effective in diagnosis phase. Diffusion-weighted imaging (DWI) and apparent
diffusion coefficient (ADC) maps provide some information that could reflect tissue cellularity. Neurosurgeons, in
particular to detect the tumor cellularity, must send the specimens taken through biopsy to the pathology unit. This
study is aimed at determining the tumor cellularity in brain. Materials and Methods: In this cross-sectional study, 32
patients (18 males and 14 females of the range 18 – 77 y/o) between April 2014 and February 2016 who were referred
to the neurosurgery department of Shohada-E Tajrish Hospital of Tehran participated. Imaging was made using single
voxel MR Spectroscopy, ADC and T2W Multi Echo Pulse Sequence in addition to routine pulse sequences and the
images were analyzed using MATLAB software to determine the cellularity of brain tumors in comparison to the biopsy.
Results: findings showed that by decreasing T2 relaxation time, the amount of ADC, N-Acetyl Aspartate (NAA) and
also, increase Choline metabolite, lead to registering tumors in the lower class on the designed table and these tumors
have a higher degree of consistency and cellularity. T2 Relaxation time, the tumors will stand at higher class on the
designed table. Also the results indicated that 85% diagnostic weight of T2 relaxation time and 83% diagnostic weight
of ADC compared with biopsy could reveal the brain tumor cellularity (P>0.05). Conclusion: some cellular metabolite
changes such as NAA and Choline, ADC value and T2 relaxation time feature could effectively be used to distinguish
and illustrate the degree of cellularity of brain tumors especially Intra-axial brain tumors (with about 85%. vs. biopsy).
We recommend to more data should be used to increase the accuracy percentage of this technique.
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