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CBCT Segmentation in Volumetric Measurements of MS Using Different Soft Wares: A Validity and Reliability Study

2019-09-23 04:51:45 | BioPortfolio

Summary

Cone Beam Computed Tomography (CBCT) has been used to assess the volume of the maxillary sinus using the manual and semi-automatic segmentation. The majority of researches stressed on the reduced accuracy of the automatic segmentation when compared to the real volume. Regarding the semi-automatic segmentation, there are researches assessed the volumetric measurement of the maxillary sinus and they reported that there is no significant difference between semi- automatic and the manual segmentation in CT.

Description

Automatic segmentation is believed to be less time consuming and more accurate in assessment of structures with regular border but fairly assessed the structures with irregular border like paranasal sinuses. The semi-automatic software is efficient and accurate as manual tracing with significant reduction in inter-observer variability and time . On the other hand, all neighboring contacting voxels located within a defined range (threshold) of similar HU values of different adjacent tissues may be measured so over calculation or under calculation could be suspected

Study Design

Conditions

Sinus Volume

Intervention

semiautomatic software

Status

Not yet recruiting

Source

Cairo University

Results (where available)

View Results

Links

Published on BioPortfolio: 2019-09-23T04:51:45-0400

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Medical and Biotech [MESH] Definitions

Guided BONE TRANSPLANTATION of the MAXILLARY SINUS surface with a BONE SUBSTITUTE grafting. It increases the bone volume at the site of the DENTAL IMPLANT and helps stabilize it.

Air-filled spaces located within the bones around the NASAL CAVITY. They are extensions of the nasal cavity and lined by the ciliated NASAL MUCOSA. Each sinus is named for the cranial bone in which it is located, such as the ETHMOID SINUS; the FRONTAL SINUS; the MAXILLARY SINUS; and the SPHENOID SINUS.

Specifications and instructions applied to the software.

The act of testing the software for compliance with a standard.

Software capable of recognizing dictation and transcribing the spoken words into written text.

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