Evidence map›Paper›PMID 27757181›Full record

ArticleElectronic physician2016

Determination of intra-axial brain tumors cellularity through the analysis of T2 Relaxation time of brain tumors before surgery using MATLAB software.

Jamil Abdolmohammadi, Mohsen Shafiee, Fariborz Faeghi, Douman Arefan, Alireza Zali, Rouzbeh Motiei-Langroudi, Zahra Farshidfar, Ali Kiani Nazarlou, Ali Tavakkoli, Mohammad Yarham

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Article in Electronic physician, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jamil AbdolmohammadiM.Sc. of Medical Imaging Technology (MRI), Department of Radiology, Faculty of Paramedical Sciences, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Mohsen ShafieeM.Sc. of Medical Physics, Cellular and Molecular Research Center, Yasuj University of Medical sciences, Yasuj, Iran.
Fariborz FaeghiPh.D. in Medical Physics, Radiology Technology Department, School of Allied Medical Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran.
Douman ArefanDepartment of Radiation Medicine Engineering, Shahid Beheshti University, Evin, Tehran, Iran.
Alireza ZaliNeurosurgeon, Head of Neurosurgery Department of Shohada-E Tajrish Hospital, Chairman of the Medical Council of Iran, Tehran, Iran.
Rouzbeh Motiei-LangroudiDepartment of Neurosurgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran.
Zahra FarshidfarM.Sc. of Medical Imaging Technology (MRI), Radiology Department of Paramedical School, Shiraz University of Medical Science, Shiraz, Iran.
Ali Kiani NazarlouM.Sc. of Medical Imaging Technology, Department of Radiology, Imam Reza Medical Research and Training Hospital, Golgasht Ave., Tabriz, Iran.
Ali TavakkoliM.Sc. of Medical Imaging Technology (MRI), Bahonar Medical Research and Training Hospital, Alborz University of Medical Science, Karaj, Iran.
Mohammad YarhamM.Sc. of Medical Imaging Technology (MRI), Radiology Department of Paramedical School, Shiraz University of Medical Science, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTimely 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.

methodsIn 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.

resultsThese 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<0.05).

conclusionOur results indicate that the T2 relaxation time feature is the best method to distinguish and present the degree of intra-axial brain tumors cellularity (85% accuracy compared to biopsy). The use of more data is recommended in order to increase the percent accuracy of this techniques.

Indexed as

Intra-axial tumorMATLAB softwareMRIT2 relaxation time

Identifiers

PMID27757181
PMCPMC5053452

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