MRI IN EARLY DETECTION AND ASSESSMENT OF CERVICAL SPINE DEGENERATION USING NAKASHIMA'S GRADING SCORE

Background: Cervical spine degeneration is a progressive condition that can lead to signicant neurological impairment if not detected early. Magnetic Resonance Imaging (MRI) plays a crucial role in the evaluation of degenerative changes. Recently, Nakashima's grading score has emerged as a standardized method for assessing cervical spinal degeneration, offering a more detailed classication of pathological changes. This study Objective: aims to evaluate the effectiveness of MRI in the early detection and grading of cervical spine degeneration using Nakashima's classication system. Patients presenting with cervical spine symptoms underwent MRI evaluation. Th Methods: e severity of degeneration was assessed using Nakashima's grading score, focusing on disc degeneration, spinal cord compression, and signal intensity changes. Correlations between MRI ndings, clinical symptoms, and neurological impairment were analyzed to determine the grading system's diagnostic accuracy. MRI successfully identied early degenerativ Results: e changes, with Nakashima's grading score providing a structured assessment of disease progression. Higher-grade degeneration correlated signicantly with increased neurological symptoms and spinal cord signal alterations. The use of MRI enhanced early diagnosis, aiding in timely intervention and management. MRI, in conjunction with Nakashima's gradi Conclusion: ng score, serves as a valuable tool for the early detection and evaluation of cervical spine degeneration. This standardized grading system improves diagnostic accuracy and facilitates better clinical decision-making, potentially preventing disease progression and neurological complications.

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Publication Details

Journal
GLOBAL JOURNAL FOR RESEARCH ANALYSIS
Published
2025-05-15
DOI
https://doi.org/10.36106/gjra/0503823
Primary Topic
Medical Imaging and Analysis
Type
article
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article

MRI IN EARLY DETECTION AND ASSESSMENT OF CERVICAL SPINE DEGENERATION USING NAKASHIMA'S GRADING SCORE

K. Vinay Kumar Reddy, Ananya Das, M Bhargavi, M. Amaranatha Reddy et al.
GLOBAL JOURNAL FOR RESEARCH ANALYSIS
Medical Imaging and Analysis
article

MRI IN EARLY DETECTION AND ASSESSMENT OF CERVICAL SPINE DEGENERATION USING NAKASHIMA'S GRADING SCORE

K. Vinay Kumar Reddy, Ananya Das, M Bhargavi, M. Amaranatha Reddy, Bharath Kakileti, Gali Varalakshmi, Tharunkrishna Kambhampati
article en

Abstract

Background: Cervical spine degeneration is a progressive condition that can lead to signicant neurological impairment if not detected early. Magnetic Resonance Imaging (MRI) plays a crucial role in the evaluation of degenerative changes. Recently, Nakashima's grading score has emerged as a standardized method for assessing cervical spinal degeneration, offering a more detailed classication of pathological changes. This study Objective: aims to evaluate the effectiveness of MRI in the early detection and grading of cervical spine degeneration using Nakashima's classication system. Patients presenting with cervical spine symptoms underwent MRI evaluation. Th Methods: e severity of degeneration was assessed using Nakashima's grading score, focusing on disc degeneration, spinal cord compression, and signal intensity changes. Correlations between MRI ndings, clinical symptoms, and neurological impairment were analyzed to determine the grading system's diagnostic accuracy. MRI successfully identied early degenerativ Results: e changes, with Nakashima's grading score providing a structured assessment of disease progression. Higher-grade degeneration correlated signicantly with increased neurological symptoms and spinal cord signal alterations. The use of MRI enhanced early diagnosis, aiding in timely intervention and management. MRI, in conjunction with Nakashima's gradi Conclusion: ng score, serves as a valuable tool for the early detection and evaluation of cervical spine degeneration. This standardized grading system improves diagnostic accuracy and facilitates better clinical decision-making, potentially preventing disease progression and neurological complications.

GLOBAL JOURNAL FOR RESEARCH ANALYSIS
Victim Support (GB), Aims Community College (US)
Openalex Percentile: Top 89%
Medical Imaging and Analysis
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