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Assessment of non-invasive chronic fungal rhinosinusitis by cone beam CT: comparison with multidetector CT findings
- Source :
- FUKUSHIMA JOURNAL OF MEDICAL SCIENCE. 63:100-105
- Publication Year :
- 2017
- Publisher :
- The Fukushima Society of Medical Science, 2017.
-
Abstract
- OBJECTIVE: To investigate the accuracy of cone beam CT (CBCT) to diagnose non-invasive chronic fungal rhinosinusitis. METHODS: Preoperative CT evaluation of non-invasive chronic fungal rhinosinusitis was performed by CBCT (3D Accuitomo 170®) and traditional multidetector CT (MDCT) (Aquilion 32®) in 13 and 38 patients with non-invasive chronic fungal maxillary sinusitis, respectively, in different facilities. Detection of intrasinus calcification was compared between these two groups. RESULTS: Detection of intrasinus calcification in patients with non-invasive chronic fungal maxillary sinusitis was higher in the MDCT group (84.2%) than the CBCT group (46.2%). CONCLUSION: CBCT is inferior to MDCT in detection of intrasinus calcification in patients with non-invasive chronic fungal maxillary sinusitis. CBCT is frequently used in the screening of the paranasal lesion, but it is not enough to evaluate non-invasive chronic fungal maxillary sinusitis alone. STUDY DESIGN: Retrospective study.
- Subjects :
- Adult
Male
Cone beam computed tomography
medicine.medical_specialty
Multidetector ct
Calcification
03 medical and health sciences
0302 clinical medicine
stomatognathic system
Calcinosis
Multidetector Computed Tomography
Humans
Medicine
Sinusitis
496.5
030223 otorhinolaryngology
Cone beam CT
Cone beam ct
Aged
Retrospective Studies
Rhinitis
Aged, 80 and over
business.industry
Multidetector CT
Retrospective cohort study
030206 dentistry
General Medicine
Cone-Beam Computed Tomography
Middle Aged
medicine.disease
Fungal sinusitis
Mycoses
Chronic Disease
Original Article
Female
Radiology
business
Subjects
Details
- ISSN :
- 21854610 and 00162590
- Volume :
- 63
- Database :
- OpenAIRE
- Journal :
- FUKUSHIMA JOURNAL OF MEDICAL SCIENCE
- Accession number :
- edsair.doi.dedup.....6d88d2a24394b9b50fb05cca51b3a78b