DIAGNOSTIC ACCURACY OF MAGNETIC RESONANCE IMAGING FOR DIAGNOSIS OF ACUTE INVASIVE FUNGAL SINUSITIS TAKING HISTOPATHOLOGY AS A GOLD STANDARD

Authors

  • Sehrish Waqar Doctor’s Trust Teaching Hospital/Rai Medical College, Sargodha Pakistan
  • Saima Ameer Lahore General Hospital, Lahore Pakistan
  • Muhammad Naeem Punjab Employee Social Security Hospital, Lahore Pakistan
  • Mubashar Ahmed Bajwa Combined Military Hospital/National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • Saman Mubashar Bajwa Pak Emirates Military Hospital/National University of Medical Sciences (NUMS) Rawalpindi Pakistan
  • G. R Bajwa Doctor’s Trust Teaching Hospital/Rai Medical College, Sargodha Pakistan

Keywords:

Fungal sinusitis, Immune compromised, Magnetic resonance imaging, Sinusitis

Abstract

Objective: To find the diagnostic accuracy of magnetic resonance imaging in diagnosing the Acute Invasive Fungal Sinusitis taking histopathology as a gold standard.

Study Design: Retrospective study.

Place and Duration of Study: Radiology Department of Doctor's Trust Teaching Hospital, Sargodha, from Mar 2019 to Aug 2019.

Methodology: The study was conducted in the Radiology Department of Doctor's Trust Teaching Hospital affiliated with Rai Medical College, Sargodha from the period of March 2019 to August 2019. The size of the sample was 17 patients who were immune compromised and was diagnosed for acute fungal sinusitis. The magnetic resonance imaging scans were reviewed by the senior radiologist and histopathology reports and survival data was also recorded for the patients.

Results: The diagnostic results of magnetic resonance imaging were sensitive and accurate in predicting the acute invasive fungal sinusitis in patients. The sensitivity of the results was 85% and the specificity of the results was 96%. The positive predictive value for magnetic resonance imaging was 94% and the negative predictive value for magnetic resonance imaging was also 96%.

Conclusion: It was concluded from the study that magnetic resonance imaging is a sensitive diagnostic tool for predicting the acute invasive fungal sinusitis.

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Published

16-12-2020

Issue

Section

Original Articles

How to Cite

1.
Waqar S, Ameer S, Naeem M, Bajwa MA, Bajwa SM, Bajwa GR. DIAGNOSTIC ACCURACY OF MAGNETIC RESONANCE IMAGING FOR DIAGNOSIS OF ACUTE INVASIVE FUNGAL SINUSITIS TAKING HISTOPATHOLOGY AS A GOLD STANDARD. Pak Armed Forces Med J [Internet]. 2020 Dec. 16 [cited 2024 Jul. 18];70(6):1810-14. Available from: https://pafmj.org/PAFMJ/article/view/5879