Combining Multiparametric MRI and PSA Density for Improved Diagnostic Accuracy in Prostate Cancer

Objective: The objective of this research was to investigate the combined use of multiparametric magnetic resonance imaging (Mp-MRI) and prostate-specific antigen density (PSAD) to increase diagnostic accuracy in detecting prostate cancer (PCa) and to reduce unnecessary biopsies.Materials and Methods: This retrospective analysis included 399 patients who underwent prostate biopsy at Ankara City Hospital between 2021 and 2022, primarily due to clinical indications suggestive of PCa.The patient cohort was categorized into distinct groups according to their PSAD, with a defined threshold of 0.15 ng/mL/cc, and their respective prostate imaging reporting and data system (PI-RADS) scores; subsequently, the diagnostic performance metrics, including sensitivity, specificity, and predictive values for determining Pca, were meticulously evaluated across different combinations of PI-RADS classifications and PSAD levels.Results: Among the 399 patients, 37.6% had PCa and 16.8% had clinically significant PCa (csPca).Patients who exhibited PI-RADS scores of 3 or higher combined with a PSAD score of at least 0.15 ng/mL/cc exhibited the greatest positive predictive value, achieving 74.1% for overall PCa and 39.3% for csPca.The integration of PI-RADS assessment with PSAD thresholds notably enhanced diagnostic accuracy, leading to improved detection rates of clinically significant cases while concurrently minimizing the frequency of unnecessary biopsy procedures. Conclusion:The simultaneous application of Mp-MRI and PSAD enhances the precision of Pca diagnosis and serves as a valuable tool for reducing the need for unnecessary biopsies, especially in patients with PI-RADS scores of 3 or above accompanied by elevated PSAD levels.

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Publication Details

Journal
Bulletin of Urooncology
Published
2024-12-25
DOI
https://doi.org/10.4274/uob.galenos.2024.2024.10.2
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.40
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article

Combining Multiparametric MRI and PSA Density for Improved Diagnostic Accuracy in Prostate Cancer

Binhan Kağan Aktaş, Süleyman Sağır, Cüneyt Özden, Cevdet Serkan Gökkaya et al.
1 citations
Bulletin of Urooncology
Radiomics and Machine Learning in Medical Imaging
0.40
article

Combining Multiparametric MRI and PSA Density for Improved Diagnostic Accuracy in Prostate Cancer

Binhan Kağan Aktaş, Süleyman Sağır, Cüneyt Özden, Cevdet Serkan Gökkaya, Yalçın Kızılkan, Samet Şenel, Süleyman Bulut, Ferhat Çelikkaleli
article en
1 citations

Abstract

Objective: The objective of this research was to investigate the combined use of multiparametric magnetic resonance imaging (Mp-MRI) and prostate-specific antigen density (PSAD) to increase diagnostic accuracy in detecting prostate cancer (PCa) and to reduce unnecessary biopsies.Materials and Methods: This retrospective analysis included 399 patients who underwent prostate biopsy at Ankara City Hospital between 2021 and 2022, primarily due to clinical indications suggestive of PCa.The patient cohort was categorized into distinct groups according to their PSAD, with a defined threshold of 0.15 ng/mL/cc, and their respective prostate imaging reporting and data system (PI-RADS) scores; subsequently, the diagnostic performance metrics, including sensitivity, specificity, and predictive values for determining Pca, were meticulously evaluated across different combinations of PI-RADS classifications and PSAD levels.Results: Among the 399 patients, 37.6% had PCa and 16.8% had clinically significant PCa (csPca).Patients who exhibited PI-RADS scores of 3 or higher combined with a PSAD score of at least 0.15 ng/mL/cc exhibited the greatest positive predictive value, achieving 74.1% for overall PCa and 39.3% for csPca.The integration of PI-RADS assessment with PSAD thresholds notably enhanced diagnostic accuracy, leading to improved detection rates of clinically significant cases while concurrently minimizing the frequency of unnecessary biopsy procedures. Conclusion:The simultaneous application of Mp-MRI and PSAD enhances the precision of Pca diagnosis and serves as a valuable tool for reducing the need for unnecessary biopsies, especially in patients with PI-RADS scores of 3 or above accompanied by elevated PSAD levels.

Bulletin of Urooncology
Good health and well-being
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Radiomics and Machine Learning in Medical Imaging
0.40
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