Analysis of Prostatitis and Prostate Cancer Transformation

• 영문명: Analysis of Prostatitis and Prostate Cancer Transformation
• 발행기관: East Asian Health Association
• 저자명: Jin Ma Jeong-Kyo Suh
• 간행물 정보: 『Journal of East Asian Health』Vol.1 No.1, 21~27쪽, 전체 7쪽
• 주제분류: 의약학 > 기타의약학
• 파일형태: PDF
• 발행일자: 2024.03.31

국문 초록

Purpose – The purpose of this paper is to explore the connection between hormonal changes in the body, related gene expression, and imaging diagnosis between prostatitis and prostate cancer patients, and to analyze the work curves of comparative subjects to conveniently find the optimal plan for early diagnosis and early treatment with clinical reference. Design/Methodology/Approach – In particular, in order to find the optimal method for early diagnosis and early treatment by referring to the hormonal changes in the body and the connection between prostatitis and prostate cancer patients and the type of related genes, imaging diagnosis is explored and the work curves of compared subjects are closely analyzed. The method uses testing of serotonin (T) and leptin (LP) in 50 patients with prostatitis and 50 patients with prostate cancer, and uses a PCA gene expression test and a 1.5TMRI scan test in parallel. Statistical analysis is performed using SPSS 21.0 software. We propose a three-item logistic regression model to select statistically significant indicators as independent variables and use whether the pathological result is prostate cancer as a dependent variable. Findings – The area of working curve of the subjects with MRI + serum hormones, PSA + EPCA gene test, two tests (serum hormones, PSA + EPCA gene test) and single serum hormones, PSA test were (ROC1:89.3%, ROC2:82.1% and ROC3:64.3%), respectively. the results showed that the combined detection of MRI, serum hormone, PSA and EPCA gene has a high clinical significance for the early diagnosis of PCA. Conclusion: The combination of MRI, serum PSA and EPCA gene detection has clinical diagnostic value for early diagnosis of PCA, and the diagnostic value of combined detection is higher. Research Implications – In the management of this paper, this study has significance in improving the accuracy of early screening for prostate cancer, find the optimal combination of subject curve detection items, which can replace the best interdisciplinary detection combination of clinical gold standard live tissue testing, solve the physical testing damage of patients, and reduce the economic cost of testing.

키워드

EPCA Nuclear Magnetic Resonance ROC Curve