与囊性空气空间相关的肺腺癌:CT特征在评估病理侵入性的预测价值
Huiyuan Zhu1, Lian Zhang2, Zike Huang3
1Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
European journal of radiology
|July 1, 2023
概括
多个囊性空气空间,不规则的形状,瘤大小和衰减等放射性特征预测了囊性空气空间 (LACA) 肺腺癌的侵入性. 这有助于诊断侵入性LACA,改善患者的治疗结果.
科学领域:
- 肺部病理学 肺部病理学
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
背景情况:
- 与囊性空气空间相关的肺腺癌 (LACA) 是一个独特的亚型,需要更好地理解.
- 放射性评估对于描述LACA和预测其侵入性至关重要.
研究的目的:
- 为了评估LACA的放射性特征.
- 为了确定CT成像标准,预测LACA中的侵入性.
主要方法:
- 对252名病理确诊的LACA患者的回顾性分析.
- 将LACA分为前入侵性和入侵性亚型.
- 用单变量和多变量分析评估临床和CT特征.
- 使用AUC的模型预测性能评估.
主要成果:
- 多个囊性空气空间 (OR 5.599),不规则的囊性空气空间形状 (OR 3.236),瘤大小 (OR 1.281) 和衰减 (OR 1.007) 是侵入性LACA的独立风险因素.
- 后勤回归模型表现出高预测性能,AUC为0.964.
结论:
- 关键的放射性特征包括多个囊性空气空间,不规则的形状,瘤大小和衰减是LACA侵入性的重要预测因素.
- 开发的预测模型为侵入性LACA提供了有价值的诊断信息.
关键词:
囊性空气空间 囊性空气空间侵入性 侵袭性 侵袭性肺部腺癌瘤是肺部腺癌.螺旋计算断层扫描 (Spiral computed tomography) 是一种计算机断层扫描技术.断层扫描 (Tomography) 是一个专业的技术.更多相关视频
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