一个概率性组织分类指标,用于MR-US引导的前列腺核心针活检,并明确建模了局部化不确定性
Matthew Muscat1, Juanita Crook2, Andrew Jirasek3
1The University of British Columbia Okanagan, 3333 University Way, Kelowna, British Columbia, V1V 1V7, CANADA.
Physics in medicine and biology
|January 23, 2026
概括
这项研究引入了前列腺活检的新概率框架,提高了组织采样准确性,并为规划和质量保证提供了详细的指标. 该方法提高了MR信息的准确性,以美国为指导的程序.
科学领域:
- 医学成像和图像指导干预
- 前列腺癌的诊断方法 前列腺癌的诊断方法
- 生物统计学和概率模型
背景情况:
- 用MRI信息进行的,由美国指导的横前列腺活检需要精确的定位才能准确地采集组织样本.
- 现有的方法可能无法完全解释局部不确定性,影响活检规划和质量保证.
- 开发空间解析度指标对于改善诊断产量和生物研究至关重要.
研究的目的:
- 开发一个概率框架来绘制沿核心组织类采样概率 (Pi(z)).
- 为了明确地模拟MR知情,美国指导的前列腺活检中的定位不确定性.
- 为规划,质量保证和研究生成毫米级的DIL采样描述符.
主要方法:
- 追溯分析15名HDR-brachytherapy患者,其中51名TRUS活检跟踪与mpMRI相关.
- 使用高斯分布 (SDs 1.25-2.2 mm) 的独立刚性转换来建模程序本地化不确定性.
- 通过一万次试验的蒙特卡洛模拟来推广不确定性来推导Pi (z) 和Bi (z).
主要成果:
- 生成连续的沿核概率图,以考虑采样和划分不确定性.
- 确定了病变丰富的子段,过渡带宽和良性前列腺延伸.
- 报告的中位数DIL采样描述符是PD ≈0.24和最大PD ≈0.48,尿道/直肠采样概率接近零.
结论:
- 该框架将定位不确定性转化为可解释的,毫米级组织采样指标.
- 这些指标可以提高程序前规划,程序内指导和临床质量保证.
- 该方法为下游生物测定提供了空间上下文化的数据,并且具有清晰的验证路径.
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