Comparison of the Accuracy of Panoramic View in CBCT with Ondemand Software in Determination Indicators Used in Maxillary Posterior Toothless Implants Treatment

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction

Due to the increasing population of the elderly and the ever-increasing need for evaluating dental implants preoperatively, it is necessary to find a method with the best diagnostic accuracy. Therefore, this study aimed to compare the accuracy of panoramic views of CBCT radiography using Ondemand software in determining the indices used in the implant treatment planning of the edentulous posterior maxilla.

Materials and Methods

This cross-sectional, descriptive/analytical study was performed on CBCT radiographs of 43 patients (113 teeth) requiring implants in the archives of a private radiology center. Two panoramic and cross-sectional views were compared in each CBCT radiograph to compare different variables, including ridge height, pathologic entities, septa, and sinus lift requirement. McNemar test and Paired t-test were used for data analysis. The significance level was considered at p value = 0.05.

Results

The results showed no significant differences in the means and standard deviations of the height of the residual ridge between panoramic and cross-sectional CBCT views in any of the teeth studied (p value = 0.113). Maxillary sinus septa, the need for a sinus lift procedure, and probable pathologic entities were not significantly different between panoramic and cross-sectional CBCT views (p value = 0.99).

Conclusion

Under the limitations of the present study, it can be concluded that both panoramic and cross-sectional views are highly accurate in assessing the ridge height, septa, pathologic entities, and need for a sinus lift procedure.

Language:
Persian
Published:
Journal of Isfahan Dental School, Volume:16 Issue: 3, 2020
Pages:
284 to 291
magiran.com/p2193575  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!