Computer-Assisted Segmentation of Craniofacial Structures and Osteotomy Planning Using CBCT and CT
Development and Evaluation of Methods for Automatic and Semi-Automatic Segmentation of Craniofacial Structures and Delineation of Osteotomy Corridors Using CBCT and CT Imaging
This project will develop and evaluate methods for automatic and semi-automatic segmentation of craniofacial structures and delineation of osteotomy corridors using cone-beam computed tomography (CBCT) and computed tomography (CT) images. It will assess the quality and reproducibility of expert-prepared reference segmentations, the influence of model training, and the accuracy, processing time, and errors of automated methods. Only existing clinical scans will be used, with no additional imaging or changes to patient treatment.
연구 개요
상태
상태
정황
정황
개입 / 치료
개입 / 치료
상세 설명
This retrospective methodological project will use pseudonymized CBCT and CT images. Expert-reviewed segmentations and virtual osteotomy plans will serve as references. Selected cases will undergo repeated and independent assessment to evaluate intra- and interobserver agreement. A development dataset of CBCT examinations will be used to assess the effects of training set size and training progression. The final model will be tested on examinations not used during development. Evaluation will include segmentation accuracy, processing time, errors, technical failures, and correction requirements. Osteotomy corridors will be assessed against reference plans and nearby critical anatomical structures.
연구 유형
연구 유형
등록 (추정된)
등록
연락처 및 위치
연구 연락처
연구 연락처
- 이름: Maciej Sikora
- 전화번호: +48 41 260 55 85
- 이메일: sikora-maciej@wp.pl
연구 장소
-
-
-
Kielce, 폴란드, 25-375
- Department of Maxillofacial Surgery, Hospital of the Ministry of Interior
-
연락하다:
- Maciej Sikora, dr hab.
- 전화번호: +48 41 260 55 85
- 이메일: sikora-maciej@wp.pl
-
-
참여기준
자격 기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
Patients aged 16-85 years at the time of clinically indicated CBCT or CT imaging, whose archived examinations meet the study eligibility criteria.
설명
Inclusion Criteria:
- Archived CBCT or CT examinations acquired for clinical indications.
- Patient age of 16-85 years at the time of imaging.
- Images available in DICOM format and suitable for analysis.
- Complete visualization of the anatomical structures required for the planned analysis.
- Image quality sufficient for reliable reference preparation and assessment.
Exclusion Criteria:
- Incomplete or corrupted image series.
- Insufficient imaging coverage.
- Image quality preventing reliable reference assessment.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: OTHER
- 시간 관점: RETROSPECTIVE
그룹/코호트 수
코호트 및 개입
그룹/코호트그룹/코호트 |
개입 / 치료개입 / 치료 |
|---|---|
|
Patients with archived CBCT or CT examinations
Patients whose archived CBCT or CT examinations will be used to develop and evaluate automatic and semi-automatic craniofacial segmentation methods and virtual osteotomy planning. |
Automatic and semi-automatic segmentation of craniofacial structures and virtual delineation of osteotomy corridors using archived CBCT and CT images. |
연구는 무엇을 측정합니까?
주요 결과 측정
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Segmentation accuracy compared with expert-prepared reference segmentations
기간: At the time of final model evaluation, up to 6 months
|
Agreement between uncorrected algorithm-generated segmentation masks and expert-prepared reference masks, assessed using the Dice similarity coefficient (DSC). Scores range from 0 to 1, with higher values indicating greater overlap. |
At the time of final model evaluation, up to 6 months
|
2차 결과 측정
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Intraobserver and interobserver agreement of reference segmentations
기간: During initial, repeat, and independent reference segmentation assessments, up to 6 months
|
Agreement between repeated reference segmentations by the same investigator and independent reference segmentations by a second investigator, assessed using the Dice similarity coefficient (DSC). Scores range from 0 to 1, with higher values indicating greater overlap. |
During initial, repeat, and independent reference segmentation assessments, up to 6 months
|
|
Segmentation processing time
기간: During segmentation processing, up to 6 months
|
Time required to generate segmentations for the evaluated examinations. |
During segmentation processing, up to 6 months
|
|
Frequency of segmentation errors, technical failures, and correction requirements
기간: During segmentation processing and initial expert evaluation, up to 6 months
|
Frequency of segmentation errors, technical failures, restarts, and correction requirements, reported separately by category. |
During segmentation processing and initial expert evaluation, up to 6 months
|
|
Segmentation performance by training set size and training progression
기간: During model training and internal validation, up to 6 months
|
Dice similarity coefficient values across evaluated training set sizes and training stages during internal validation. |
During model training and internal validation, up to 6 months
|
|
Evaluation of virtual osteotomy corridors
기간: At the time of virtual osteotomy corridor evaluation, up to 6 months
|
Assessment of computer-generated osteotomy corridors against expert-prepared reference plans and in relation to nearby critical anatomical structures. |
At the time of virtual osteotomy corridor evaluation, up to 6 months
|
공동 작업자 및 조사자
연구 기록 날짜
연구 주요 날짜
연구 시작 (추정된)
연구 시작
기본 완료 (추정된)
기본 완료
연구 완료 (추정된)
연구 완료
연구 등록 날짜
최초 제출
최초 제출
QC 기준을 충족하는 최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
처음 게시됨
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
마지막 업데이트 게시됨
QC 기준을 충족하는 마지막 업데이트 제출
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
기타 연구 ID 번호
- CT/2026/3
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .