A Study on Vertebral Bone Strength by Micro-CT-Like Image

NCT04954417 | Unknown

• 1 other identifier: M2021179
• Study Type: observational
• Target: 100
• Locations: 1 country
• Sites: 1

Brief Summary

In this study, we use conditional generation adversarial network to enhance the resolution of MSCT images and obtain micro-CT-like images. Based on this, we measure the bone structure indexes of micro-CT-like images and analyzed the correlation between bone structure and bio-mechanical indexes.

Conditions

Osteoporosis

Outcome Measures

Primary Outcomes (1)

• Consistency or correlation

  Analyze the consistency or correlation between micro-CT and micro-CT-like bone structure indexes; analyze the correlation between micro-CT-like bone structure indexes and bio-mechanical indexes

  From the beginning of the experiment to 8 months

Study Arms (2)

MSCT image

Scanning of the vertebral body using MSCT

Diagnostic Test: Radiological scanning; Other: Deep learning; Procedure: Bio-mechanical testing

micro-CT image

Scanning of the vertebral body using micro-CT

Diagnostic Test: Radiological scanning

Interventions

Radiological scanning DIAGNOSTIC_TEST

The collected specimens subject to normalized Micro-CT and MSCT image acquisition, image reconstruction using standard algorithms, and bone structure observation using bone algorithms to obtain high-quality, standardized axial images.

MSCT image; micro-CT image

Deep learning OTHER

We will use a conditional generation adversarial network-based image mapping technique to train the mapping model between MSCT images and Micro-CT images, find the correspondence between the image information contained in each of MSCT and Micro-CT, and finally obtain high-resolution micro-CT-like images.

MSCT image

Bio-mechanical testing PROCEDURE

we will cut a standardized cubic sample from the vertebral cancellous bone , obtain the bio-mechanical performance index of this cancellous bone sample by mechanical experiments, and analyze the correlation between bone structure of Micro-CT-like images and bio-mechanical index.

MSCT image

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The specimens for this experiment were obtained from formalin-fixed human cadavers.The donors had dedicated their body for educational and research purposes to the local Institute of Anatomy prior to death, in compliance with local institutional and legislative requirements.

You may qualify if:

• We will collect human formalin-fixed vertebral specimens provided by the Department of Anatomy, Peking University School of Medicine. The expected number of enrolled specimens is approximately 100 vertebrae (between T6 and L5) .

You may not qualify if:

• The vertebrae with significant compression fractures, bone neoplasms, or other causes of significant bone destruction.

Sponsors & Collaborators

• Peking University Third Hospital: lead

Study Sites (1)

Peking University Third Hospital

Beijing, Beijing Municipality, 010, China

RECRUITING

Biospecimen

Retention: SAMPLES WITHOUT DNA

The vertebral specimens for this experiment were obtained from formalin-fixed human cadavers.The donors had dedicated their body for educational and research purposes to the local Institute of Anatomy prior to death, in compliance with local institutional and legislative requirements.

MeSH Terms

Conditions

Osteoporosis

Interventions

Deep Learning

Condition Hierarchy (Ancestors)

Bone Diseases, Metabolic; Bone Diseases; Musculoskeletal Diseases; Metabolic Diseases; Nutritional and Metabolic Diseases

Intervention Hierarchy (Ancestors)

Machine Learning; Artificial Intelligence; Algorithms; Mathematical Concepts; Neural Networks, Computer

Study Officials

• huishu Yuan

  Department of Radiology Peking University Third Hospital Beijing, China,

  STUDY CHAIR

Central Study Contacts

Dan Jin

CONTACT

+8613161525366; jindan1418@bjmu.edu.cn

Study Design

• Study Type: observational
• Observational Model: CASE CROSSOVER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 29, 2021
• First Posted: July 8, 2021
• Study Start: May 1, 2021
• Primary Completion: December 30, 2021
• Study Completion: December 30, 2021
• Last Updated: July 8, 2021

Record last verified: 2021-06

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)