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333215

Accuracy of two software using semi-automated segmentation of simulated bone defects

Article

Last updated: 23 Dec 2024

Subjects

-

Tags

Oral and Maxillofacial Radiology

Abstract

Purpose: The aim of this study is to evaluate the accuracy and reliability of simulated osteolytic jaw lesions' volumes measured on 2 CBCT software using semiautomated segmentation.
Materials and methods: 8 simulated bone defects were cut at the cancellous bone of 2 human cadaveric mandibles. A replica was created to represent the actual size of the created defects. Then screening radiographs were taken for these defects. 2 software (were used to perform segmentation Ondemand and Mimics which were adaptable to the processing system.
Results: Linear regression models for studied methods in estimating impression volume were calculated. Pair-wise comparisons revealed no statistically significant difference between Mimics and OnDemand software.
Conclusion: A semiautomated method for CBCT images has several advantages over manual analysis; the risk of nonobjectivity and interobserver variability is greatly reduced by minimizing the active manual input of the user. Thus, Mimics is more reliable and accurate than OnDemand.
Odontogenic Cyst; Cyst Volume; Segmentation; Volume Analysis

DOI

10.21608/edj.2023.240289.2731

Keywords

Odontogenic Cyst, Cyst Volume, segmentation, Volume Analysis

Authors

First Name

Yasmein

Last Name

El-beblawy

MiddleName

Maher

Affiliation

MD , Minia

Email

yasmin.maher@mu.edu.eg

City

Minia

Orcid

0009-0002-2908-8301

First Name

Maha

Last Name

Amer

MiddleName

Ishaq

Affiliation

Professor, Oral Maxillofacial Radiology Department, Faculty of Dentistry, Minia University, Minia, Egypt

Email

mahaeshaq2@yahoo.com

City

-

Orcid

0000-0003-0715-4507

First Name

Ahmed

Last Name

Bakry

MiddleName

Mohamed

Affiliation

Assistant Professor, Oral and Maxillofacial Radiology Faculty Of Dentistry Minia Univeristy

Email

drahmedbakry1988@gmail.com

City

minia

Orcid

0000-0002-3208-9578

Volume

70

Article Issue

1

Related Issue

45121

Issue Date

2024-01-01

Receive Date

2023-10-02

Publish Date

2024-01-01

Page Start

235

Page End

241

Print ISSN

0070-9484

Online ISSN

2090-2360

Link

https://edj.journals.ekb.eg/article_333215.html

Detail API

https://edj.journals.ekb.eg/service?article_code=333215

Order

333,215

Type

Original Article

Type Code

254

Publication Type

Journal

Publication Title

Egyptian Dental Journal

Publication Link

https://edj.journals.ekb.eg/

MainTitle

Accuracy of two software using semi-automated segmentation of simulated bone defects

Details

Type

Article

Created At

23 Dec 2024