相关实验视频

Updated: May 8, 2025

Modeling Primary Bone Tumors and Bone Metastasis with Solid Tumor Graft Implantation into Bone

Modeling Primary Bone Tumors and Bone Metastasis with Solid Tumor Graft Implantation into Bone

Published on: September 9, 2020

在接受第一线化疗的乳腺癌患者骨转移的预后因素,预测建模和治疗模式:基于人口的研究

Xin Fu¹, Pengfei Cai¹, Zhengqiang Yan¹

¹The Orthopedics Department, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, 321000 Jinhua, Zhejiang, China.

Annali italiani di chirurgia

|December 26, 2024

概括

这项研究开发了一种名谱,用于预测接受化疗的骨转移乳腺癌患者的存活率. 该工具准确地识别出预后因素,帮助个性化治疗策略,改善患者的治疗结果.

科学领域:

在瘤学瘤学.
生物统计学生物统计学

背景情况:

接受一线化疗的乳腺癌 (BC) 骨转移 (BM) 患者的预后因素尚未确立.
准确预测整体存活率 (OS) 对于这一群体的治疗计划至关重要.

研究的目的:

为了确定接受一线化疗的BC患者的BC患者的独立预后因素.
构建和验证用于预测这个患者群体的OS的诺米克图.

主要方法:

从监测,流行病学和最终结果 (SEER) 数据库 (2010-2016) 获取2996名BC患者的BM.
使用单变量和多变量考克斯回归分析确定了预后因素.
使用培训 (n=2100) 和内部验证 (n=896) 队列构建和验证了一个名录,用ROC曲线,校准曲线和DCA评估性能.

主要成果:

确定年龄,瘤大小,种族,等级,亚型和大脑,肝脏或肺转移的存在,以及手术干预和婚姻状况,作为独立的预后因素.
该名图显示,在1年,2年和3年的OS中,与曲线下的区域 (AUC) 存在严重的歧视,在培训队列中从0.756到0.803,在验证队列中从0.756到0.793不等.
诺米图表表现出极好的校准和临床实用性.

结论:

已开发并验证了一种可靠的诺姆图,用于预测接受一线化疗的乳腺癌患者的存活率.
这种预测模型可以帮助临床医生量身定制个性化治疗策略.
诺米图有潜力通过使更精确的预后评估来改善患者的治疗结果.

更多相关视频

Intra-iliac Artery Injection for Efficient and Selective Modeling of Microscopic Bone Metastasis

Intra-iliac Artery Injection for Efficient and Selective Modeling of Microscopic Bone Metastasis

Published on: September 26, 2016

Models of Bone Metastasis

Models of Bone Metastasis

Published on: September 4, 2012

相关概念视频

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

Tumor Progression

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...