通过完全自动化的深度学习算法量化内脏脂肪以及事件和复发性椎炎的风险
Jane Ha1,2, Christopher P Bridge3,4, Katherine P Andriole3,5
1Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Diseases of the colon and rectum
|April 24, 2025
概括
较高的内脏脂肪面积与多管炎的风险增加有关,包括偶发和复发病例. 这一发现可能会为这种常见的疾病提供新的预防策略.
科学领域:
- 胃肠病学 胃肠病学
- 放射学 放射学是一门学科.
- 流行病学 流行病学
背景情况:
- 肥胖是一个已知的风险因素,用于膜炎.
- 内脏脂肪区域提供了比一般肥胖更精确的腹部脂肪的测量.
- 内脏脂肪与椎炎风险之间的特定关联仍在调查中.
研究的目的:
- 为了确定内脏脂肪区域与发展新发 (事件) 和复发 (复发) 杂炎的风险之间的关联.
- 根据内脏脂肪水平来评估复杂的膜炎和由于复发而入院的风险.
主要方法:
- 这是一项回顾性队列研究,涉及来自马萨诸塞州的Brigham Biobank的6654名患者.
- 在腹部CT扫描上使用深度学习模型量化了内脏脂肪区域,皮下脂肪区域和骨肌区域.
- 根据四分位数的内脏脂肪区域z-score,对年龄,性别和种族进行控制,评估了分炎的风险.
主要成果:
- 较高的内脏脂肪区域z-score显著增加了发生性分泌体炎 (HR 2.09),复杂分泌体炎 (HR 2.56) 和需要住院治疗的复发性分泌体炎 (HR 2.76) 的风险.
- 内脏脂肪和椎炎风险之间的关联在不同的BMI层中是一致的.
- 皮下脂肪区域和骨肌肉区域没有显示出与分炎风险的显著关联.
结论:
- 通过CT扫描测量的内脏脂肪面积增加显着与发生性和复发性分泌体炎的风险更高有关.
- 这些发现增强了对分泌炎病理生理学的理解.
- 结果表明,这对开发针对性预防性径炎策略有潜在的影响.
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