Introduction: 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 (mpMRI). Material and methods: 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. Results: 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. Conclusion: PHI could represent a reliable noninvasive tool for selecting patients to undergo mpMRI.

Prostate Health Index (PHI) as a triage tool for reducing unnecessary magnetic resonance imaging (MRI) in patients at risk of prostate cancer

Lo Sasso, Bruna;
2024-01-01

Abstract

Introduction: 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 (mpMRI). Material and methods: 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. Results: 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. Conclusion: PHI could represent a reliable noninvasive tool for selecting patients to undergo mpMRI.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/193449
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