Determination of intra-axial brain tumors cellularity through the analysis of T2 Relaxation time of brain tumors before surgery using MATLAB software
Autor: | Fariborz Faeghi, Zahra Farshidfar, Rouzbeh Motiei-Langroudi, Douman Arefan, Alireza Zali, Ali Tavakkoli, Ali Kiani Nazarlou, Mohsen Shafiee, Jamil Abdolmohammadi, Mohammad Yarham |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
medicine.medical_specialty lcsh:R5-920 business.industry Surgery 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Text mining Software T2 relaxation Medicine Original Article T2 relaxation time business MATLAB lcsh:Medicine (General) computer MATLAB software 030217 neurology & neurosurgery Intra-axial tumor MRI computer.programming_language |
Zdroj: | Electronic Physician, Vol 8, Iss 8, Pp 2726-2732 (2016) Electronic Physician |
ISSN: | 2008-5842 |
Popis: | Introduction: Timely diagnosis of brain tumors could considerably affect the process of patient treatment. To do so, para-clinical methods, particularly MRI, cannot be ignored. MRI has so far answered significant questions regarding tumor characteristics, as well as helping neurosurgeons. In order to detect the tumor cellularity, neuro- surgeons currently have to sample specimens by biopsy and then send them to the pathology unit. The aim of this study is to determine the tumor cellularity in the brain. Methods: In this cross-sectional study, 32 patients (18 males and 14 females from 18-77 y/o) were admitted to the neurosurgery department of Shohada-E Tajrish Hospital in Tehran, Iran from April 2012 to February 2014. In addition to routine pulse sequences, T2W Multi echo pulse sequences were taken and the images were analyzed using the MATLAB software to determine the brain tumor cellularity, compared with the biopsy Results: These findings illustrate the need for more T2 relaxation time decreases, the higher classes of tumors will stand out in the designed table. In this study, the results show T2 relaxation time with a 85% diagnostic weight, compared with the biopsy, to determine the brain tumor cellularity (p |
Databáze: | OpenAIRE |
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