Analytical cross-sectional study assessing MRI's diagnostic accuracy in diabetic patients with invasive fungal rhinosinusitis, suggesting effective early diagnosis.
Key Points
This research aims to evaluate the diagnostic accuracy of MRI in detecting invasive fungal rhinosinusitis among diabetics.
Conducted an analytical cross-sectional study over ten months at Services Hospital, Lahore.
Enrolled 191 diabetic patients aged 35 to 50 with diagnoses of invasive fungal rhinosinusitis.
Performed pre and post contrast MRI of paranasal sinuses and confirmed findings with histopathology.
Analyzed results using SPSS version 25.0 software to determine MRI diagnostic accuracy.
Mean age of participants was 42.76 years ± 5.37 years.
Pre and post contrast MRI showed sensitivity of 84.37% and specificity of 88.05%.
Positive predictive value (PPV) was 58.69% and negative predictive value (NPV) was 96.55%.
Overall accuracy of MRI in detecting invasive fungal rhinosinusitis was 87.43%.