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不止看上去:通过病理学预测上腺皮质癌的结果
Jianqiu Kong1,2,3, Mingli Luo1,2,3, Yi Huang4
1Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, Guangdong, PR China.
European journal of endocrinology
|January 28, 2025
概括
上腺皮质癌 (ACC) 的病理学分析提供了一个强大的新预后工具. 将新型病理学特征 (PSACC) 集成到名图表中,可显著提高ACC患者预测结果的准确性.
科学领域:
- 在瘤学瘤学.
- 数字病理学数字病理学
- 医学成像分析 医学成像分析
背景情况:
- 皮上腺癌 (ACC) 是一种罕见的,具有高复发率和不良预后的侵袭性癌症.
- 现有的ACC预后模型不足,需要先进的诊断工具.
- 病理学,用算法分析整个幻灯片图像,显示了改善ACC预后的希望.
研究的目的:
- 开发和验证一种基于病理学的签名,用于预测上腺皮质癌的预后.
- 与传统模型相比,评估病理学签名的性能.
- 创建一个整合病理学的名录图,以加强ACC的临床决策.
主要方法:
- 对159名接受了激进上腺切除术 (2002-2019) 的患者进行了回顾性分析.
- 使用LASSO-Cox回归对通过无监督细分提取的5种病理特征开发病理特征 (PSACC).
- 创建一个集成PSACC和M阶段的nomogram.
主要成果:
- 在培训 (HR 3.380) 和验证 (HR 3.904) 队列中,PSACC与ACC预后有很强的相关性.
- 在预测准确度方面,病理学综合名图显著超过了传统的临床病理学模型.
- 病理学名图的一致性指数为0.779 (训练) 和0.752 (验证),而传统模型的0.668和0.603.
结论:
- 以病理学为基础的诺基图为上皮癌提供了卓越的预后工具.
- 这种方法增强了个性化的临床决策和治疗策略.
- 病理学在复杂恶性瘤的预后模型中具有显著的潜力.
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