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The predictive impact of hematological inflammatory markers in detecting prostate cancer in patients with PI-RADS 3 lesions on multiparametric magnetic resonance imaging.

Authors :
Kayar R
Tokuc E
Ozsoy E
Demir S
Kayar K
Topaktas R
Demir S
Ozturk M
Source :
The Prostate [Prostate] 2024 Sep; Vol. 84 (13), pp. 1244-1250. Date of Electronic Publication: 2024 Jun 26.
Publication Year :
2024

Abstract

Background: The diagnostic accuracy of suspicious lesions that are classified as PI-RADS 3 in multiparametric prostate magnetic-resonance imaging (mpMRI) is controversial. This study aims to assess the predictive capacity of hematological inflammatory markers such as neutrophil-lymphocyte ratio (NLR), pan-immune-inflammation value (PIV), and systemic immune-response index (SIRI) in detecting prostate cancer in PI-RADS 3 lesions.<br />Methods: 276 patients who underwent mpMRI and subsequent prostate biopsy after PI-RADS 3 lesion detection were included in the study. According to the biopsy results, the patients were distributed to two groups as prostate cancer (PCa) and no cancer (non-PCa). Data concerning age, PSA, prostate volume, PSA density, PI-RADS 3 lesion size, prostate biopsy results, monocyte counts (10 <superscript>9</superscript> /L), lymphocyte counts (10 <superscript>9</superscript> /L), platelet counts (10 <superscript>9</superscript> /L), neutrophils count (10 <superscript>9</superscript> /L) were recorded from the complete blood count. From these data; PIV value is obtained by monocyte × neutrophil × platelet/lymphocyte, NLR by neutrophil/lymphocyte, and SIRI by monocyte number × NLR.<br />Results: Significant variations in neutrophil, lymphocyte, and monocyte levels between PCa and non-PCa patient groups were detected (p = 0.009, p = 0.001, p = 0.005 respectively, p < 0.05). NLR, PIV, and SIRI exhibited significant differences, with higher values in PCa patients (p = 0.004, p = 0.001, p < 0.001 respectively, p < 0.05). The area under curve of SIRI was 0.729, with a cut-off value of 1.20 and with a sensitivity 57.70%, and a specificity of 68.70%.<br />Conclusion: SIRI outperformed NLR and PIV in detecting PCa in PI-RADS 3 lesions, showcasing its potential as a valuable biomarker. Implementation of this parameter to possible future nomograms has the potential to individualize and risk-stratify the patients in prostate biopsy decision.<br /> (© 2024 Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1097-0045
Volume :
84
Issue :
13
Database :
MEDLINE
Journal :
The Prostate
Publication Type :
Academic Journal
Accession number :
38926140
Full Text :
https://doi.org/10.1002/pros.24762