人工智能可以通过预测瘤对手术前化疗的反应来帮助个性化威尔姆斯瘤治疗
Ahmed Nashat1, Ahmed Alksas2, Rasha T Aboulelkheir3
1Department of Urology, Mansoura Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
Investigative and clinical urology
|January 10, 2025
概括
一个计算机辅助的预测系统准确地识别了威尔姆斯瘤可能抵抗化疗使用CT扫描. 这允许进行预先的手术,避免不必要的手术前化疗 (PC) 对于不响应的病例.
科学领域:
- 放射学和瘤学 放射学和瘤学
- 人工智能在医学中的应用
- 儿科瘤学 儿科瘤学
背景情况:
- 威尔姆斯瘤 (WT) 是一个常见的儿科癌.
- 手术前的化疗是标准的,但并不总是有效的.
- 预测PC的反应对于最佳的治疗计划至关重要.
研究的目的:
- 开发一个计算机辅助预测 (CAP) 系统.
- 预测威尔姆斯瘤对手术前化疗 (PC) 的反应.
- 使用治疗前对比增强计算机断层扫描 (CECT) 进行预测.
主要方法:
- 对18岁以下儿童的63例WT病例进行了回顾性审查.
- 从CECT扫描中提取特征 (形状,纹理,功能).
- 支持矢量机器模型使用k-fold交叉验证进行训练和验证.
主要成果:
- CAP系统在预测PC的体积 (95.24%) 和组织学 (84.13%) 反应方面取得了很高的准确性.
- 在73%的瘤中观察到有利的体积反应,在60.3%的瘤中观察到组织学反应.
- 支持矢量机显示出卓越的诊断性能.
结论:
- 使用治疗前CECT的CAP系统可以准确地识别不太可能对PC反应的WT.
- 这有助于为不响应的瘤提供前期手术.
- 避免了不有效的PC的潜在毒性和副作用.
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