Modelling the Change of White Blood Cell on Colorectal Cancer Treatment Using Probit Regression

Colorectal cancer has become one of the cancer types with high incidence rate all over the world. Various eorts have been carried out to nd a way to decrease the risk of cancer. Chemotherapy using 5-Fluorouracil (5-FU) is one of the common cancer treatments that is expected to drive the white blood cell (WBC) level into the normal level. This research investigates the factors inuencing the change of WBC level in cancer patients treated with 5-FU combined with physical treatment in the form of footsteps. By focusing on the change of WBC level, i.e. decreasing or increasing the WBC level as the response, probit regression was applied to the data measured from 28 cancer patients who have undergone 14 days of treatment. The probit regression found that age of the patient, average number of daily footsteps and the dose of 5-FU signcantly inuence the change of WBC. The regression is able to classify the case with a satisfactory results, i.e. 85.71% classication accuracy. This nding can be a guideline to better treat the colorectal cancer patient to reach a normal WBC.

结直肠癌已成为全球高发癌症类型之一。为降低癌症发病风险，学界与医学界已开展诸多相关研究。以5-氟尿嘧啶（5-Fluorouracil，5-FU）为基础的化疗是临床常用癌症治疗手段之一，该疗法旨在将患者白细胞（White Blood Cell，WBC）水平恢复至正常范围。本研究针对接受5-FU联合步行物理疗法的结直肠癌患者，探究其白细胞水平变化的影响因素：以白细胞水平的升降作为响应变量，对28名完成14天治疗的癌症患者的实测数据开展概率单位回归（Probit Regression）分析。结果显示，患者年龄、日均步行步数以及5-FU给药剂量均对白细胞水平变化具有显著影响；该回归模型的病例分类效果优异，分类准确率达85.71%。本研究结果可为临床优化结直肠癌患者治疗方案、助力患者白细胞水平恢复正常提供参考依据。