Background: Acute ischemic stroke is a leading cause of morbidity and mortality worldwide. Early diagnosis is critical for timely intervention and improved outcomes. Diffusion-Weighted Imaging (DWI) in MRI has emerged as a highly sensitive modality for detecting early ischemic changes.
Objective: To evaluate the role of Diffusion-Weighted MRI in the early detection of acute ischemic stroke and to assess its diagnostic accuracy compared to conventional imaging.
Methods: A prospective observational study was conducted on 20 patients presenting with acute neurological deficits within 24 hours of symptom onset. All patients underwent MRI brain including DWI sequences. Findings were correlated with clinical presentation and follow-up imaging.
Acute ischemic stroke is a leading cause of morbidity and mortality worldwide. Early diagnosis is critical for timely intervention and improved outcomes. Diffusion-Weighted Imaging (DWI) in MRI has emerged as a highly sensitive modality for detecting early ischemic changes.
OBJECTIVE
To evaluate the role of Diffusion-Weighted MRI in the early detection of acute ischemic stroke and to assess its diagnostic accuracy compared to conventional imaging.
MATERIALS AND METHODS
Study Design
Prospective observational study
Study Duration
6 months
Study Population
trauma
Imaging Protocol
MRI Brain using 1.5T scanner sequences:
Diffusion-Weighted Imaging (DWI)
METHODS
A prospective observational study was conducted on 20 patients presenting with acute neurological deficits within 24 hours of symptom onset. All patients underwent MRI brain including DWI sequences. Findings were correlated with clinical presentation and follow-up imaging.
RESULTS
Imaging Findings
|
Parameter |
Number. |
% |
|
DWI positive lesions |
18 |
90 |
|
Conventional MRI. |
13 |
65 |
|
detection |
|
|
|
Reduced ADC values |
18 |
90 |
|
Early intervention guided |
8 |
40 |
DWI is a highly sensitive and reliable imaging modality for early detection of acute ischemic stroke. It plays a crucial role in guiding timely therapeutic decisions and improving patient outcomes.
REFERENCES