基于风险因素综合分析的前列腺癌早期诊断方法

Alexander Lazarev
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摘要

研究目标是通过基于一系列风险因素分析的个性化方法提高前列腺癌诊断措施的质量和效率。该方法是利用俄罗斯巴尔瑙尔阿尔泰地区肿瘤中心建立的阿尔泰边疆区人口癌症登记处的数据开发的。目前,该癌症登记处包括 308550 名恶性肿瘤患者的信息,其中包括 15167 名男性前列腺癌患者。在拉扎列夫-A.F.提出的前列腺癌风险评估方法(专利号:RU 2692987 C1)的基础上,开发了前列腺癌早期诊断自动程序(计算机程序国家注册证书编号:2019663514)。该技术的测试包括对 532 名患者(年龄在 23 至 82 岁之间)进行评估。128名患者被确定为高风险癌前病变群体。我们建立了一个高风险癌前病变登记册,其中包括个人罹患前列腺癌风险增高或绝对增高的患者。在进行综合深入检查后,128 名患者中有 7 人(9.3%)被确诊为前列腺癌,且均处于早期阶段(I 期或 II 期)。因此,高风险癌前病变登记患者的前列腺癌发病率明显高于预防性检查期间观察到的平均值(0.01%)。因此,建议采用该方法,以便更有针对性地对前列腺癌高危患者进行深入检查,从而有助于早期发现癌症。
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Early diagnostics of prostate cancer based on a comprehensive analysis of risk factors
Research objective was to improve the quality and efficiency of diagnostic measures for prostate cancer through a personalized approach to patients based on an analysis of a set of risk factors. The methodology was developed using the data from the population-based Cancer Registry of the Altai Territory, created at the Altai Regional Oncology Center in Barnaul, Russia. At the moment the Cancer Registry included information on 308,550 patients with malignant neoplasms, including 15,167 males with prostate cancer. On the basis of the method of prostate cancer risk assessment proposed by Lazarev A.F. (patent number: RU 2692987 C1) an automated program for early diagnosis of prostate cancer has been developed (state registration certificate for computer program No. 2019663514). Testing of this technique included assessment of 532 patients (age between 23 and 82 y.o.). 128 patients were determined to belong to the high risk pre-cancer group. A high-risk precancer registry was created which included the patients having individual risk of developing prostate cancer either increased or high or absolute. Upon having a complex of in-depth examinations 7 of 128 patients (9.3%) were diagnosed with prostate cancer, all at early stages (I or II). Thus, the incidence of prostate cancer among the patients from the high risk pre-cancer registry was significantly higher than the average observed during prophylactic examinations (0.01%). It allows to suggest implementation of the method with the aim to assign in-depth examination in more targeted manner to patients at high risk of prostate cancer and to contribute to detection the cancer in the early stages.
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