REVEALING SINONASAL ANOMALIES ON CT: INSIGHTS INTO SINUSITIS SYMPTOMS
Dr. Kona Surya Venkata Ashok Kumar
, Dr. Allu Rajesh , Dr. B Kranthi Abhishek , Dr. B. Sridhar , Dr. G. S. Kejiriwal
Anatomical variations, CT scan, Facial pain, Nasal obstruction, Sinonasal region, Sinusitis, Rhinorrhea
ABSTRACT Objective: This study aimed to ascertain the frequency of anatomical variants within the sinonasal region and their association with sinusitis symptoms. Methods: Conducted between October 2023 and April 2024 at the Radiology Department of Maharajah’s Institute of Medical Sciences, Nellimarla, Vizianagaram, the study enrolled 50 symptomatic sinusitis subjects aged 18-60 years for computed tomography (CT) scans of the paranasal sinuses. CT scans were examined for nasal septum, turbinates, uncinate process, ethmoid air cells, and other anatomical variations, correlating them with sinusitis symptoms. Results: Among the 50 subjects, 34 were male and 16 were female, with a mean age of 42.68±18.22 years. The most prevalent anatomical variants were agger nasi cells (64%), deviated nasal septum (56%), and concha bullosa (46%). A statistically significant correlation was found between bilateral agger nasi cells and nasal obstruction (p=0.017, ρ= -0.336). Conclusion: The sinonasal region's anatomy is intricate, and anatomical variations can impede sinus mucociliary drainage, leading to patient discomfort. Therefore, given the variability of sinonasal anatomy, CT of the paranasal sinuses is recommended for all patients to prevent surgical complications.
"REVEALING SINONASAL ANOMALIES ON CT: INSIGHTS INTO SINUSITIS SYMPTOMS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.1141 - 1149, May-2024, Available :https://ijsdr.org/papers/IJSDR2405150.pdf
Volume 9
Issue 5,
May-2024
Pages : 1141 - 1149
Paper Reg. ID: IJSDR_211433
Published Paper Id: IJSDR2405150
Downloads: 000347398
Research Area: Medical Science
Country: Vizianagaram, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave