Updates in the Role of MRI in Diagnosis of Lumbar Disc Herniation: A Systematic Review Article
Turki Khulaif Alanazi *
Mental Health Hospital, Gurayat, Saudi Arabia.
Abdulaziz Turki Hamad Al-Anzi
Health Control Center in Al-Haditha port, Al-Haditha, Saudi Arabia.
Abdullah Naffaa Alsafari
Medical Physics Department, Gurayat General Hospital, Gurayat, Saudi Arabia.
Ahmed Maashi Al Enezi
Strategic Plan Department, Gurayat, Saudi Arabia.
Faisal Hussain Alanazi
Mental Health Hospital, Gurayat, Saudi Arabia.
Mohammed Maashi Q. Alanazi
Gurayat Mental Health Hospital, Gurayat, Saudi Arabia.
Mohamed Hakem Almolhem
Gurayat General Hospital, Gurayat, Saudi Arabia.
Abdullah Mohammed Alanazi
Mental Health Hospital, Gurayat, Saudi Arabia.
Abdulaziz Hassan Alanzi
Mental Health Hospital, Gurayat, Saudi Arabia.
Mohammad Khulaife Alabdali
Forensic Medicine Department, Gurayat, Saudi Arabia.
Fhad Ahmad Alanazi
Gurayat General Hospital, Gurayat, Saudi Arabia.
Miznah Mohammad Alenezi
Chemistry, Al-matar Neighborhood Health Center, Gurayat, Saudi Arabia.
*Author to whom correspondence should be addressed.
Abstract
Background: Magnetic resonance imaging (MRI) is the technique of choice for diagnosing lumbar disc herniation (LDH). This systematic review aims to investigate the recently published literature regarding the updates of MRI for LDH diagnosis.
Methodology: PubMed, Web of Science, Science Direct, EBSCO, and Cochrane library were searched. Study articles were screened by title and abstract using Rayyan QCRI then a full-text assessment was implemented.
Results: Nine studies were included, with 1064 patients with LDH. All the included studies reported that MRI is valuable in diagnosing and detecting the acuity of LDH. Other diagnostic modalities were used along with MRI to increase the results' accuracy, including the clinical findings, MRM, and QST.
Conclusion: MRI is considered suitable for predicting symptom severity in patients with LDH and, when used in combination with clinical findings, improves diagnostic accuracy. This review showed that deep learning can be used on small data sets containing only a few medical images. Impressive results were obtained in terms of detection of findings and improved accuracy of LDH diagnosis. Electrophysiological studies, QST, weight bearing, and MRM have been used as diagnostic methods for his LDH along with MRI, with good and accurate results reported.
Keywords: Diagnosis, lumbar disc herniation, Magnetic resonance imaging, role of MRI, systematic review