Early diagnostics of prostate cancer based on a comprehensive analysis of risk factors
- 作者: Lazarev A.1, Petrova V.1, Lazarev S.1, Repkina T.1, Terekhova S.1, Obеremok P.2, Osipov I.3, Nikolaeva M.1, Ganov D.1
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隶属关系:
- Altai State Medical University
- Consultative Diagnostic Center of the Altai Territory
- Medical Institute named after Berezin Sergey
- 期: 卷 28, 编号 2 (2023)
- 页面: 109-118
- 栏目: Original Study Articles
- URL: https://journals.rcsi.science/1028-9984/article/view/254436
- DOI: https://doi.org/10.17816/onco624300
- ID: 254436
如何引用文章
详细
BACKGROUND: There is a trend of increasing incidence and mortality from prostate cancer. Existing methods for early diagnosis and screening of prostate cancer did not demonstrate enough efficiency.
AIM: 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.
MATERIALS AND METHODS: 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 AF an automated program for early diagnosis of prostate cancer has been developed. Testing of this technique included assessment of 532 patients (aged between 23 and 82).
RESULTS: 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 a set 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%).
CONCLUSION: The automated program for early diagnosis of prostate cancer could be implemented 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.
作者简介
Alexander Lazarev
Altai State Medical University
Email: lazarev@akzs.ru
ORCID iD: 0000-0003-1080-5294
俄罗斯联邦, Barnaul
Valentina Petrova
Altai State Medical University
Email: valent_04@mail.ru
ORCID iD: 0000-0001-7169-9646
俄罗斯联邦, Barnaul
Sergey Lazarev
Altai State Medical University
Email: serglazarev@bk.ru
ORCID iD: 0000-0001-7748-0784
俄罗斯联邦, Barnaul
Tatiana Repkina
Altai State Medical University
Email: k-polter@asmu.ru
ORCID iD: 0000-0003-4583-313X
Barnaul
Svetlana Terekhova
Altai State Medical University
编辑信件的主要联系方式.
Email: quip@list.ru
ORCID iD: 0009-0001-4594-4529
MD, Cand. Sci. (Medicine)
俄罗斯联邦, BarnaulPavel Obеremok
Consultative Diagnostic Center of the Altai Territory
Email: pasha22ru@mail.ru
ORCID iD: 0009-0002-3250-6914
俄罗斯联邦, Barnaul
Ilya Osipov
Medical Institute named after Berezin Sergey
Email: osipov_1989@bk.ru
ORCID iD: 0009-0008-4560-2933
俄罗斯联邦, Barnaul
Maria Nikolaeva
Altai State Medical University
Email: k-ginek@asmu.ru
ORCID iD: 0000-0001-9459-5698
俄罗斯联邦, Barnaul
Dmitriy Ganov
Altai State Medical University
Email: ganovdmit@yandex.ru
ORCID iD: 0000-0002-7118-1668
俄罗斯联邦, Barnaul
参考
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