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相关概念视频

Sutures of the Skull01:22

Sutures of the Skull

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The human skull is composed of several bones that come together to protect the brain and support the structures of the face. The junctions where these bones meet are called sutures.
Sutures are immobile joints between adjacent bones of the skull. The narrow gap between the bones is filled with dense, fibrous connective tissue that unites the bones. The long sutures located between the skull bones are not straight but instead follow irregular, tightly twisting paths. These twisting lines tightly...
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相关实验视频

Updated: Jul 1, 2025

3D Kinematic Analysis for the Functional Evaluation in the Rat Model of Sciatic Nerve Crush Injury
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使用SINS预测骨相关事件

Kazuo Nakanishi1, Yasukazu Hijikata2, Kazuya Uchino1

  • 1Department of Bone and Joint Surgery, Kawasaki Medical School, Matsushima, Kurashiki, Okayama.

Spine
|March 13, 2024
PubMed
概括

脊柱不稳定性瘤评分 (SINS) 在预测脊柱瘤患者的骨相关事件 (SREs) 中表现有前途. 添加其他因素进一步提高了这些SRE预测的准确性.

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相关实验视频

Last Updated: Jul 1, 2025

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Published on: February 12, 2020

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科学领域:

  • 在瘤学瘤学.
  • 整形外科手术 整形外科手术
  • 放射学 放射学是一门学科.

背景情况:

  • 转移性脊髓瘤由于骨相关事件 (SREs) 显著影响患者的生活质量.
  • 预测SREs对于管理癌症患者至关重要,但缺乏成熟的方法.
  • 脊柱不稳定性新形成评分 (SINS) 评估脊柱不稳定性,对SRE预测具有临床意义.

研究的目的:

  • 评估脊柱不稳定性新生病评分 (SINS) 和骨相关事件 (SREs) 之间的预测关联.
  • 探索可能提高SRE预测模型准确性的额外预测因素.

主要方法:

  • 对1000多名转移性脊髓瘤患者的回顾性分析.
  • 后勤回归用于开发基于SINS的SRE预测模型.
  • 对SINS得分为6或以下的患者中SRE相关因素的分析.

主要成果:

  • 对于预测SREs,SINS模型实现了0.832的AUC.
  • 严重性脊髓炎与女性患病率较低,先前的手术,非脊柱骨转移以及其他器官转移有关.
  • 纳入额外的预测因素使AUC提高到0.865.

结论:

  • 在一个月内,SINS显示了SREs的合理预测性能.
  • 额外的临床因素提高了SREs的预测准确度.
  • 在转移性脊髓瘤中对SREs需要一个全面的临床预测模型.