The Utility of Diffusion Weighted Magnetic Resonance Imaging in Detection of the Origin of the Brain Solid Metastatic Tumors

سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 249

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_CJNS-1-3_003

تاریخ نمایه سازی: 18 اسفند 1397

چکیده مقاله:

Background: Early diagnosis of brain tumors has significant effect on the treatment process. Brain metastatic tumors are usually diagnosed following the neurological symptoms in patients or incidentally after Computerized Tomography (CT) scan and Magnetic Resonance Imaging (MRI) requests of the brain. Objectives: Implementation of a new method for being informed about the origin of brain tumors by using MRI before surgery. Materials and Methods: In this study, 25 patients with brain metastatic tumors were randomly selected and imaged with T2Weighted multi echo sequences and GRE EPI (DWI) in addition to taking routine sequence of brain. Software output such as variables including signal intensity, Apparent Diffusion Coefficient (ADC) value. In order to analyze the data and correlations between variables in this study, statistical t-test method and Graph pad prism software: version 5.4 has been used. p<0.05 was considered as the level of significance. Results: Significant difference between ADC values at the center of metastatic tumors with different origin was found. ADC value of 0.5613±0.02580 (×10−3 mm/s) indicates brain metastatic tumors with lung origin, ADC value of 1.009±0.03820 (×10−3 mm/s) tumors with liver and breast origin, and ADC value of 1.556±0.03500 (×10−3 mm/s) tumors with colon and prostate origin. Conclusion: According to our results, DWI MRI as an imaging biomarker can determine the origin of the brain metastatic tumors, so that we can help patients and physicians in terms of time, financial and choice of the best treatment method.

کلیدواژه ها:

نویسندگان

Arash Shabani

MSc, Medical Imaging Physicist, Department of Radiology Technology, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Fariborz Faeghi

PhD, Medical Physics, Assistant Professor of Medical Imaging, Department of Radiology Technology, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Ayoob Rostamzadeh

MSc, Neuroscientist, Department of Anatomical Sciences, Faculty of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran

Jalal Jalal-Shokouhi

MD, Radiologist, Iranian Society of Radiology, Head of Central Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran