Department of Radiation Oncology, University of Massachusetts Medical School, Worcester, MA, USA.
Am J Clin Oncol. 2010 Apr;33(2):164-7. doi: 10.1097/COC.0b013e31819d3684.
To determine whether there is an optimal type of mathematical equation for predicting seed and activity requirements for permanent prostate brachytherapy.
Four institutions with extensive brachytherapy experience each submitted details of more than 40 implants. The data was used to generate power and linear equations to reflect the relationship between preimplant volume and the number of seeds implanted, and preimplant volume and the total implant activity. We compared the R and standard error of the generated equations to determine which type of equation better fit the data.
For the limited range of prostate volumes commonly implanted (20-60 mL), power and linear equations predict seed and activity requirements comparably well.
Linear and power equations are equally suitable for generating institution-specific nomograms.
确定预测永久性前列腺近距离放射治疗所需种子数量和活度的最佳数学方程类型。
具有丰富近距离放射治疗经验的四个机构分别提供了 40 多个植入物的详细信息。这些数据用于生成幂函数和线性方程，以反映植入前体积与植入种子数量之间的关系，以及植入前体积与总植入活度之间的关系。我们比较了生成方程的 R 和标准误差，以确定哪种类型的方程更能拟合数据。
在通常植入的前列腺体积范围内（20-60mL），幂函数和线性方程对种子和活度的预测效果相当。
线性和幂函数方程同样适用于生成机构特异性的列线图。
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