Diagnostic Value of High-Resolution CT in the Assessment of Paranasal Sinus Pathologies

Authors

  • Muhammad Noman Abdullah Department of Radiation Science and Medical Imaging Technology, Superior University, Lahore, Punjab, Pakistan. https://orcid.org/0009-0006-2493-1688
  • Muhammad Waseem Department of Radiation Science and Medical Imaging Technology, Superior University, Lahore, Punjab, Pakistan.
  • Ghulam Abbas Department of Radiography and Imaging Technology, Green International University, Lahore, Punjab, Pakistan.
  • Alisha Khan Department of Radiation Science and Medical Imaging Technology, Superior University, Lahore, Punjab, Pakistan.
  • Attia Samad Department of Radiation Science and Medical Imaging Technology, Superior University, Lahore, Punjab, Pakistan.
  • Arooba Aslam Department of Radiation Science and Medical Imaging Technology, Superior University, Lahore, Punjab, Pakistan.
  • Ammara Shahid Department of Radiation Science and Medical Imaging Technology, Superior University, Lahore, Punjab, Pakistan.
  • Ushma Rafiq Department of Radiation Science and Medical Imaging Technology, Superior University, Lahore, Punjab, Pakistan.
  • Yousra Liaqat Department of Radiation Science and Medical Imaging Technology, Superior University, Lahore, Punjab, Pakistan.

DOI:

https://doi.org/10.70749/ijbr.v4i5.3129

Keywords:

Paranasal Sinus, Sinusitis, High-resolution Computed Tomography, Anatomical Variations, Sinonasal Disease, Lund–Mackay Score.

Abstract

Background: Paranasal sinus diseases are common disorders that can significantly affect a patient’s quality of life and daily functioning. Accurate imaging plays an important role in identifying the extent of disease, guiding treatment decisions, and preventing complications. High-resolution computed tomography (HRCT) is considered the preferred imaging technique for evaluating sinonasal diseases because it provides excellent visualization of both bony structures and soft tissues. Objective: This study aimed to determine the diagnostic value of HRCT in assessing paranasal sinus pathologies and to evaluate associated anatomical variations using the Lund–Mackay scoring system. Methodology: A descriptive cross-sectional study was conducted on 40 patients presenting with symptoms suggestive of sinonasal disease. HRCT scans of the paranasal sinuses were performed and assessed for sinus involvement, type of pathology, anatomical variations, and radiological severity. Results: The mean age of the participants was 40.45 ± 15.99 years, and males represented 60% of the study population. Acute sinusitis was the most frequently observed pathology (35%), followed by mucocele (30%), chronic sinusitis (20%), and fungal sinusitis (15%). The maxillary sinus was the most commonly affected sinus. Common presenting symptoms included facial pain, nasal discharge, headache, and hyposmia. Anatomical variations such as Onodi cells, Concha bullosa, and Haller cells were frequently identified on HRCT scans. The mean Lund–Mackay score was 5.50 ± 2.55, indicating moderate radiological disease severity. Statistical analysis showed no significant association between gender and pathology type, anatomical variations, or Lund–Mackay score (p > 0.05). Conclusion: The findings of this study demonstrate that HRCT is a highly reliable and effective imaging modality for evaluating paranasal sinus diseases. It provides detailed information regarding disease extent, sinus involvement, and anatomical variations, which are essential for accurate diagnosis and surgical planning.

Downloads

Download data is not yet available.

References

1. Bolger, W. E., Parsons, D. S., & Butzin, C. A. (1991). Paranasal sinus BONY anatomic variations and mucosal abnormalities: CT analysis for endoscopic sinus surgery. The Laryngoscope, 101(1), 56-64.

https://doi.org/10.1288/00005537-199101000-00010

2. LUND, V., & KENNEDY, D. (1997). Staging for rhinosinusitis. Otolaryngology - Head and Neck Surgery, 117(3), S35-S40.

https://doi.org/10.1016/s0194-5998(97)70005-6

3. Kato, A., Peters, A., Stevens, W., Schleimer, R., Tan, B., & Kern, R. (2021). Endotypes of chronic rhinosinusitis; relationships to disease phenotypes, pathogenesis, clinical findings and treatment approaches.

https://doi.org/10.22541/au.161827907.73465337/v1

4. Bhattacharyya, N. (2006). Radiographic stage fails to predict symptom outcomes after endoscopic sinus surgery for chronic rhinosinusitis. The Laryngoscope, 116(1), 18-22.

https://doi.org/10.1097/01.mlg.0000192284.22703.04

5. Wani, A. A., Kanotra, S., Lateef, M., Ahmad, R., Qazi, S. M., & Ahmad, S. (2009). CT scan evaluation of the anatomical variations of the ostiomeatal complex. Indian Journal of Otolaryngology and Head & Neck Surgery, 61(3), 163-168.

https://doi.org/10.1007/s12070-009-0059-8

6. Narayan, S., Talwar, V., Goel, V., Chaudhary, K., Sharma, A., Redhu, P., Soni, S., & Jain, A. (2022). Co-relation of SARS-Cov-2 related 30-d mortality with HRCT score and RT-PCR CT value-based viral load in patients with solid malignancy. World Journal of Clinical Oncology, 13(5), 339-351.

https://doi.org/10.5306/wjco.v13.i5.339

7. Goel, A., Gupta, V., Raheja, V., & Goel, S. (2020). A study to correlate the endoscopic and CT findings in chronic rhinosinusitis. IP Indian Journal of Anatomy and Surgery of Head, Neck and Brain, 4(4), 114-117.

https://doi.org/10.18231/2581-5229.2018.0030

8. Naz, N., Ahmad, Z., Malik, S. N., & Zahid, T. (2016). Diagnostic accuracy of CT scan in fungal sinusitis, diagnosis and extent. Annals of PIMS ISSN, 1815, 2287.

https://apims.net/apims_old/Volumes/Vol12-2/Diagnostic%20Accuracy%20of%20C.T%20Scan%20in%20Fungal%20Sinusitis_Diagnosis%20and%20Extent.pdf

9. Kaygusuz, A., Haksever, M., Akduman, D., Aslan, S., & Sayar, Z. (2013). Sinonasal anatomical variations: Their relationship with chronic rhinosinusitis and effect on the severity of disease—A computerized tomography assisted anatomical and clinical study. Indian Journal of Otolaryngology and Head & Neck Surgery, 66(3), 260-266.

https://doi.org/10.1007/s12070-013-0678-y

10. Kolethekkat, A. A., Paul, R. R., Kurien, M., Kumar, S., Al Abri, R., & Thomas, K. (2013). Diagnosis of adult chronic rhinosinusitis: Can nasal endoscopy predict Intrasinus disease? Oman Medical Journal, 28(6), 427-431.

https://doi.org/10.5001/omj.2013.120

Downloads

Published

2026-05-30

How to Cite

Abdullah, M. N., Muhammad Waseem, Abbas, G., Khan, A., Samad, A., Aslam, A., Shahid, A., Rafiq, U., & Liaqat, Y. (2026). Diagnostic Value of High-Resolution CT in the Assessment of Paranasal Sinus Pathologies. Indus Journal of Bioscience Research, 4(5), 45-47. https://doi.org/10.70749/ijbr.v4i5.3129