Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Bone Disorders01:29

Bone Disorders

3.6K
Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...
3.6K
Classification of Bones01:18

Classification of Bones

5.6K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
5.6K
Osteoclasts in Bone Remodeling01:31

Osteoclasts in Bone Remodeling

3.0K
Osteoclasts are cells responsible for bone resorption and remodeling. They originate from hematopoietic progenitor cells present in the bone marrow. Numerous progenitor cells fuse to form multinucleated cells, each with 10-20 nuclei. A single osteoclast has a diameter of 150 to 200 µM. These cells have ruffled borders that break down the underlying bone tissue and release minerals such as calcium into the blood in bone resorption. Osteoclasts cling to bones with their ruffled edges during...
3.0K
Hormones and Bone Tissue01:17

Hormones and Bone Tissue

2.7K
The endocrine system produces and secretes hormones, which interact with the skeletal system. These hormones control bone growth, maintain bone once it is formed, and remodel it.
Hormones That Influence Osteoblasts and/or Maintain the Matrix
Several hormones are necessary for controlling bone growth and maintaining the bone matrix. The pituitary gland secretes growth hormone (GH), which, as its name implies, controls bone growth. This happens in several ways: first, it triggers chondrocyte...
2.7K
Bone Structure01:55

Bone Structure

48.7K
Within the skeletal system, the structure of a bone, or osseous tissue, can be exemplified in a long bone, like the femur, where there are two types of osseous tissue: cortical and cancellous.
48.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Multidirectional Optical Bone Densitometry Using a Simulation-Based Machine Learning Model: Experimental Validation with Bone Phantoms.

Annals of biomedical engineering·2026
Same author

Comparison of Semi-Quantitative Parameters of <sup>18</sup>F-FDG Digital PET/CT and Simultaneous PET/MRI in Lymphoma Patients.

Nuclear medicine and molecular imaging·2026
Same author

Comparison of Left Ventricular Ejection Fraction Among <sup>18</sup>F-FDG Dual-Gated PET/CT, Single-Gated PET/MRI, and Cardiac MRI.

Journal of nuclear medicine technology·2026
Same author

Improved Stress Myocardial Blood Flow in Patients Receiving Enhanced External Counter Pulsation (EECP) Therapy Measured by [<sup>15</sup>O]H<sub>2</sub>O PET/CT: Pilot Study.

Nuclear medicine and molecular imaging·2026
Same author

Automated radiosynthesis and clinical experience of [<sup>18</sup>F]SMBT-1 PET imaging for <i>in vivo</i> evaluation of reactive astrocyte in Parkinson's disease: a pilot study.

Frontiers in nuclear medicine·2025
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025

相关实验视频

Updated: Jul 12, 2025

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

506

使用机器学习光学骨密度计数据预测骨质疏松症

Kaname Miura1,2, Shigeo M Tanaka3, Chanisa Chotipanich4

  • 1Biological Engineering Program, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand.

Annals of biomedical engineering
|October 26, 2023
PubMed
概括

光学骨密度计 (OBD) 与机器学习 (ML) 结合,显示了骨质疏松症查的前景. 这种方法可以准确预测骨密度得分,有助于早期检测和诊断.

关键词:
人口统计数据 人口统计数据机器学习 机器学习光学是什么?光学是什么?光学是什么?骨质疏松症查 骨质疏松症查

更多相关视频

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model
07:12

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

8.2K
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.6K

相关实验视频

Last Updated: Jul 12, 2025

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

506
Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model
07:12

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

8.2K
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

17.6K

科学领域:

  • 生物医学工程 生物医学工程
  • 医疗成像医学成像
  • 数据科学数据科学数据科学

背景情况:

  • 骨质疏松症的诊断依赖于准确的骨密度评估.
  • 光学骨密度计 (OBD) 为骨健康评估提供了一种非侵入性方法.
  • 机器学习 (ML) 技术提高了医疗查中的诊断准确性.

研究的目的:

  • 评估整合OBD与ML用于骨质疏松症查的可行性.
  • 开发和验证使用OBD数据预测骨质疏松症的ML模型.

主要方法:

  • 收集了203名泰国参与者的双能量X射线吸收度 (DXA) 和OBD测量结果.
  • 利用ML技术,特别是Ridge回归器,从OBD和人口统计数据中预测DXAT分数.

主要成果:

  • 在ML模型中,针对DXA参考值的预测T分数,实现了0.512的相关系数 (r).
  • 该模型在区分患有骨质疏松症的个体中显示曲线下的面积 (AUC) 为0.853.

结论:

  • 联合OBD和ML方法是骨质疏松症查的可靠工具.
  • 这种方法显示了改善早期发现和诊断骨质疏松症的潜力.