Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesions
Objective: We aimed to investigate the role of the digital rectal examination, PSA density, regional location of the lesion and prostate size in predicting prostate cancer in Prostate Imaging and Data Reporting System (PI-RADS)-3 lesions. Material and Methods: A total of 236 patients with multipa...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Ali İhsan Taşçı
2021-06-01
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| Series: | Yeni Üroloji Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/1477795 |
| _version_ | 1797909581180960768 |
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| author | Sercan Yılmaz Mehmet Yılmaz Serdar Yalcın Engin Kaya Eymen Gazel Halil Cagrı Aybal Hakan Özdemir Mehmet Yorubulut Ali Yusuf Oner Lutfi Tunc |
| author_facet | Sercan Yılmaz Mehmet Yılmaz Serdar Yalcın Engin Kaya Eymen Gazel Halil Cagrı Aybal Hakan Özdemir Mehmet Yorubulut Ali Yusuf Oner Lutfi Tunc |
| author_sort | Sercan Yılmaz |
| collection | DOAJ |
| description | Objective: We aimed to investigate the role of the digital rectal examination, PSA density, regional location of the lesion and prostate size in predicting prostate cancer in Prostate Imaging and Data Reporting System (PI-RADS)-3 lesions.
Material and Methods: A total of 236 patients with multiparametric MRI performed for clinical suspicion of prostate cancer and reported PI-RADS-3 enrolled between January 2016 and July 2019 in this retrospective study. The datas were extracted from the hospital’s electronic records, patient files and outpatient clinic records. Multiparametric MRI was performed patients to whom have elevated PSA level and/or suspicious digital rectal examination. Patients diagnosed with and without prostate cancer were compared in terms of age, PSA, PSA density, prostate size, pathological results, lesion localization and DRE findings.
Results: One hundred thirty- independent predictor seven patients with an initial score of PI-RADS-3 were subjected to further analysis. Prostat cancer detection rate in overall and clinically significant prostate cancer detection rate was 26.2% and 4.3%, respectively. There was a significant difference regarding DRE findings (p=0.001) and PZ location of the lesion (p=0.005) between PCa and no PCa groups. Digital rectal examination (p=0.001) was an independent predictor of prostate cancer in multivariate logistic regression analysis.
Conclusion: Digital rectal examination is a practical and important parameter in clarifying the suspicion of prostate cancer in PI-RADS-3 lesions. |
| first_indexed | 2024-04-10T11:11:29Z |
| format | Article |
| id | doaj.art-b5a735c5ddc1431d98489dc41a1df71f |
| institution | Directory Open Access Journal |
| issn | 1305-2489 2687-1955 |
| language | English |
| last_indexed | 2024-04-10T11:11:29Z |
| publishDate | 2021-06-01 |
| publisher | Ali İhsan Taşçı |
| record_format | Article |
| series | Yeni Üroloji Dergisi |
| spelling | doaj.art-b5a735c5ddc1431d98489dc41a1df71f2023-02-15T16:19:08ZengAli İhsan TaşçıYeni Üroloji Dergisi1305-24892687-19552021-06-0116218418910.33719/yud.2021;16-2-850090Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesionsSercan Yılmaz0https://orcid.org/0000-0003-3774-9982Mehmet Yılmaz1https://orcid.org/0000-0001-6820-6708Serdar Yalcın2https://orcid.org/0000-0003-4586-7591Engin Kaya3https://orcid.org/0000-0002-5272-572XEymen Gazel4https://orcid.org/0000-0002-6483-9249Halil Cagrı Aybal5https://orcid.org/0000-0001-9123-6139Hakan Özdemir6https://orcid.org/0000-0002-4458-3952Mehmet Yorubulut7https://orcid.org/0000-0003-1747-685XAli Yusuf Oner8https://orcid.org/0000-0003-1123-6521Lutfi Tunc9https://orcid.org/0000-0002-7338-3909Health Sciences University, Gulhane Training and Research Hospital, Department of Urology, Ankara, TurkeyZile State Hospital, Department of Urology, Tokat, TurkeyHealth Sciences University, Gulhane Training and Research Hospital, Department of Urology, Ankara, TurkeyHealth Sciences University, Gulhane Training and Research Hospital, Department of Urology, Ankara, TurkeyAcıbadem University Ankara Hospital, Department of Urology, Ankara, TurkeyKahramankazan Hamdi Eris State Hospital, Department of Urology, Ankara, TurkeyDiason Ultrasonography Center, Ankara, TurkeyAcibadem University, Ankara Hospital, Department of Radiology, Ankara, Turkey Gazi University School of Medicine, Department of Radiology, Ankara, TurkeyGazi University School of Medicine, Department of Urology, Ankara, TurkeyObjective: We aimed to investigate the role of the digital rectal examination, PSA density, regional location of the lesion and prostate size in predicting prostate cancer in Prostate Imaging and Data Reporting System (PI-RADS)-3 lesions. Material and Methods: A total of 236 patients with multiparametric MRI performed for clinical suspicion of prostate cancer and reported PI-RADS-3 enrolled between January 2016 and July 2019 in this retrospective study. The datas were extracted from the hospital’s electronic records, patient files and outpatient clinic records. Multiparametric MRI was performed patients to whom have elevated PSA level and/or suspicious digital rectal examination. Patients diagnosed with and without prostate cancer were compared in terms of age, PSA, PSA density, prostate size, pathological results, lesion localization and DRE findings. Results: One hundred thirty- independent predictor seven patients with an initial score of PI-RADS-3 were subjected to further analysis. Prostat cancer detection rate in overall and clinically significant prostate cancer detection rate was 26.2% and 4.3%, respectively. There was a significant difference regarding DRE findings (p=0.001) and PZ location of the lesion (p=0.005) between PCa and no PCa groups. Digital rectal examination (p=0.001) was an independent predictor of prostate cancer in multivariate logistic regression analysis. Conclusion: Digital rectal examination is a practical and important parameter in clarifying the suspicion of prostate cancer in PI-RADS-3 lesions.https://dergipark.org.tr/tr/download/article-file/1477795prostatic neoplasmsdigital rectal examinationmultiparametric magnetic resonance imagingimage guided biopsy |
| spellingShingle | Sercan Yılmaz Mehmet Yılmaz Serdar Yalcın Engin Kaya Eymen Gazel Halil Cagrı Aybal Hakan Özdemir Mehmet Yorubulut Ali Yusuf Oner Lutfi Tunc Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesions Yeni Üroloji Dergisi prostatic neoplasms digital rectal examination multiparametric magnetic resonance imaging image guided biopsy |
| title | Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesions |
| title_full | Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesions |
| title_fullStr | Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesions |
| title_full_unstemmed | Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesions |
| title_short | Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesions |
| title_sort | basic factors predicting prostate cancer in prostate imaging reporting and data system 3 lesions |
| topic | prostatic neoplasms digital rectal examination multiparametric magnetic resonance imaging image guided biopsy |
| url | https://dergipark.org.tr/tr/download/article-file/1477795 |
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