Differences in the quality of paranasal sinuses CT images in sinusitis case by slice thickness variations


Mail Muhamad Faik(1*)
Mail Rini Indrati(2)

(1) 'Aisyiyah University of Yogyakarta, Indonesia
(2) Poltekkes Kemenkes Semarang, Indonesia
(*) Corresponding Author
10.31101/ijhst.v3i3.2440| Abstract views : 206 | PDF views : 89


One of the parameters that has an effect on the quality of paranasal sinuses CT image is slice thickness. According to Zojaji et al (2015), paranasal sinuses CT Scan with an indication of sinusitis should be made with a slice thickness of 5 mm, while at the Department of Radiology of Telogorejo Hospital Semarang, paranasal sinuses CT Scan is made with a slice thickness of 3.2 mm. This study aims to find out the effect of variations in slice thickness setting in imaging quality and determine the best setting of the three selected slice thicknesses in producing high quality of the paranasal sinuses CT image. This study was conducted at the Department of Radiology of Telogorejo Hospital, Semarang. The research sample is a paranasal sinuses CT of coronal slices in cases of sinusitis taken by accidental sampling techniques. Data regarding the quality of the paranasal sinuse CT image were collected through a check list by five radiologists. The results of the study showed that there were differences in the quality of images by three slice thicknesses. The three best slice thickness settings to produce high quality image were 3.2 mm, then 5 mm and the last 7.5 mm. 


paranasal sinuses; CT image; sinusitis; slice thickness

Full Text:



Aring, AM., Chan, MM. (2016). Current concepts in adult acute rhinosinusitis. Am Fam Physician, 94(2):97–105. pmid: 27419326.

Blackwell, DL., Lucas, JW., Clarke, TC. (2014). Summary health statistics for U.S. adults: national health interview survey, Vital Health Stat, 10:1-171.

Bushberg, JT., Seibert, JA., Leidholdt, EM., Boone, JM. (2012). The

Essential Physics of Medical Imaging, Third edition, Lippincott Williams &

Wilkins, Philadelphia.

FDA (US Food and Drug Administration). (2020). Dental cone-beam computed tomography. https://www.fda.gov/radiation-emitting-products/medical-x-ray-imaging/dental-cone-beam-computed-tomography. Content current as of:09/28/2020. Accessed April 9, 2022.

Frerichs, N and Brateanu, A. (2020). Rhinosinusitis and the role of imaging. Cleveland Clinic Journal of Medicine, 87 (8) 485-492; DOI: https://doi.org/10.3949/ccjm.87a.19092.

Kelly, A., Cronin, P., Puig, S., Applegate, K., Eisenmenger, LB., Anzai, Y. (2018). Acute sinusitis in adults and children: evidence-based emergency imaging. In: Kelly A, Cronin P, Puig S, Applegate K, eds. Evidence-based Emergency Imaging: Optimizing Diagnostic Imaging of Patients in the Emergency Care Setting (Evidence-based Imaging). Springer.

Kirsch, CF., Bykowski, J., Aulino, JM., Berger, KL., Choudhri, AF., Conley, DB., Luttrull, MD., Nunez Jr, D., Shah, LM., Sharma, A., Shetty, VS., Subramaniam, RM., Symko, SC., Cornelius, RS. (2017). Expert Panel on Neurologic Imaging. ACR Appropriateness Criteria Sinonasal Disease. J Am Coll Radiol, 14(11S): S550–S559. doi: 0.1016/j.jacr.2017.08.041.

Kroll, H., Hom, J., Ahuja, N., Smith, CD., Wintermark, M. (2017). R-SCAN: imaging for uncomplicated acute rhinosinusitis. J Am Coll Radiol, 14(1):82–83.e1. doi:10.1016/j.jacr.2016.08.018.

Lau, J, Zucker, D., Engels, EA. (2022). Diagnosis and treatment of acute bacterial rhinosinusitis: summary. AHRQ Evidence Report Summaries. https://www.ncbi.nlm.nih.gov/books/NBK11860/. Accessed April 9, 2022.

Murphy, A. Partial volume averaging (CT artifact). https://radiopaedia.org/articles/partial-volume-averaging-ct-artifact-1?lang=us. (2020). Content current as of:09/28/2020. Accessed April 9, 2022.

See, KH. (2015). Sinusitis (acute rhinosinusitis). BMJ Clin Evid. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4400653/. Accessed April 9, 2022.

Seeram, E. (2016). Computed Tomograpgy Physical Principles, Clinical Applications, and Quality Control, Fourth Edition, W.B. Saunders Company, Philadelphia.

Rosenfeld, RM., Piccirillo, JF., Chandrasekhar, SS., Brook, I., Ashok, KK., Kramper, M., Orlandi, RR., Palmer, JN., Patel, ZM., Peters, A. (2015). Clinical practice guideline (update): Adult sinusitis. Otolaryngol. Head Neck Surg, 152:S1–S39. doi: 10.1177/0194599815572097.

Rudmik, L., Smith, TL., Schlosser, RJ. (2014). Productivity costs in patients with refractory chronic rhinosinusitis. Laryngoscope, 124:2007-2012.

Zojaji, R., Nekooei, S., Naghibi, S., Mazloum, FB., Jalilian, R., Masoomi, M. (2015). Accuracy of Limited Four-Slice CT Scan in Diagnosis of Chronic. Rhinosinusitis, European Annals of Otorhinolaryngology, Head and Neck Diseases, 132 (6), 333-335.

DOI: https://doi.org/10.31101/ijhst.v3i3.2440

Article Metrics

Abstract view : 206 times
PDF - 89 times

Cited By


  • There are currently no refbacks.

Copyright (c) 2022 International Journal of Health Science and Technology

International Journal of Health Science and Technology

Indexing by :
Google Scholar International Journal of Health Science and TechnologyIJHST
Universitas 'Aisyiyah (UNISA) Yogyakarta
Kampus Terpadu: Jalan Siliwangi (Ring Road Barat) No. 63, Nogotirto, Gamping, Sleman, Yogyakarta 55292, Indonesia
Telepon: (+62274) 4469199
Fax.: (+62274) 4469204
Email: ijhst@unisayogya.ac.id

Lisensi Creative Commons
International Journal of Health Science and Technology is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License..