医学
前列腺癌
磁共振成像
前列腺
急诊分诊台
逻辑回归
单变量分析
单变量
癌症
泌尿科
核医学
放射科
内科学
妇科
多元分析
多元统计
机器学习
急诊医学
计算机科学
作者
Luisa Agnello,Matteo Vidali,Giuseppe Salvaggio,Francesco Agnello,Bruna Lo Sasso,Caterina Maria Gambino,Marcello Ciaccio
标识
DOI:10.1016/j.clinbiochem.2024.110759
摘要
The aim of this study is to assess the usefulness of the Prostate Health Index (PHI) as a triage tool for selecting patients at risk of prostate cancer (PCa) who should undergo multiparametric Magnetic Resonance Imaging (MRI). We enrolled 204 patients with suspected PCa. For each patient, a blood sample was collected before mpMRI to measure PHI. Findings on mpMRI were assessed according to the Prostate Imaging Reporting & Data System version 2.0 (PI-RADSv2) category scale. According to PI-RADSv2, patients were classified into two groups: PI-RADS < 3 (48 %) and ≥ 3 (52 %). PHI showed the best performance for predicting PI-RADS ≥ 3 [AUC: 0,747 (0,679–0,815), 0,680(0,607–0,754), and 0,613 (0,535–0,690) for PHI, PSA ratio, and total PSA, respectively]. The best PHI cut-off was 30, with a sensitivity of 90 %. At the univariate logistic regression, total PSA (p = 0.007), PSA ratio (p = 0.001), [-2]proPSA (p = 0.019) and PHI (p < 0.001) were associated with PI-RADS ≥ 3; however, at the multivariate analysis, only PHI (p < 0.001) was found to be an independent predictor of PI-RADS ≥ 3. PHI could represent a reliable noninvasive tool for selecting patients to undergo mpMRI.
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