Methods of Diagnosis and Treatment of MS Disease Based on a Clinical Trial: The Original Article

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Iman Seifi, Daryanaz Shojaei, Salar Javanmard Barbin, Alireza Bahmani, Zeinab Seraj

Abstract

Multiple sclerosis (MS) is an inflammatory disease that affects the central nervous system and causes disabilities in various organs, including eyes and muscles. Magnetic resonance imaging (MRI) is often used to diagnose and determine MS disease lesions in the brain and spinal cord. Diagnosing MS lesions in MRI images is very difficult due to the variation in lesion location, size, shape and anatomy between different individuals. There are methods to evaluate, diagnose and treat MS lesions. These methods detect and segment from MRI scans taken from the brain. Since the manual diagnosis and analysis of these lesions from brain images is expensive and time-consuming and also has human errors, this article reviews the methods proposed in recent years. Although these articles have good accuracy in recent years, there is a need for significant accuracy in the field of health. According to the recent advances, a completely robust approach for the classification of MS lesions has not yet been presented as a standard for clinical practice.

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Author Biography

Iman Seifi, Daryanaz Shojaei, Salar Javanmard Barbin, Alireza Bahmani, Zeinab Seraj

1Department of Nursing, Master's in Pediatric Nursing, Yasuj University of Medical Sciences, Yasuj, Iran

Email:i.seyfi313@gmail.com

2MD Graduated from Iran university, Anesthesiologist Graduated from Arak university, Iran

Email:daryanazshojaei@yahoo.com

3Nurse of Neurological Intensive Care unit, Imam Khomeini Medical Center in Urmia, Bachelor of Nursing, Islamic Azad university, Former Secretary and Founder of the Student, Research Committee of Urmia Azad university, Urmia, Iran

Email:javanmardsalar611@gmail.com

4Department of Emergency Medicine, Khatam Al Anbia Hospital, Zahedan university of medical sciences, Zahedan, Itran

Email:drbahmani@yahoo.com

5Master student in Geriatric Nursing, Faculty of Nursing and Midwifery, Golestan University of Medical Sciences, Gorgan, Iran

Email:serajzynb@gmail.com

*Corresponding Author: Zeinab Seraj

*Corresponder Email: serajzynb@gmail.com