Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment Decision
The diagnostics of prostate cancer are currently based on three pillars: prostate biomarker panel, imaging techniques, and histological verification. This paper presents a diagnostic algorithm that can serve as a “road map”: from initial patient stratification to the final decision regarding treatme...
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| Format: | Article |
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MDPI AG
2021-04-01
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| Online Access: | https://www.mdpi.com/2075-1729/11/4/324 |
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| author | Hana Sedláčková Olga Dolejšová Milan Hora Jiří Ferda Ondřej Hes Ondřej Topolčan Radka Fuchsová Radek Kučera |
| author_facet | Hana Sedláčková Olga Dolejšová Milan Hora Jiří Ferda Ondřej Hes Ondřej Topolčan Radka Fuchsová Radek Kučera |
| author_sort | Hana Sedláčková |
| collection | DOAJ |
| description | The diagnostics of prostate cancer are currently based on three pillars: prostate biomarker panel, imaging techniques, and histological verification. This paper presents a diagnostic algorithm that can serve as a “road map”: from initial patient stratification to the final decision regarding treatment. The algorithm is based on a review of the current literature combined with our own experience. Diagnostic algorithms are a feature of an advanced healthcare system in which all steps are consciously coordinated and optimized to ensure the proper individualization of the treatment process. The prostate cancer diagnostic algorithm was created using the prostate specific antigen and in particular the Prostate Health Index in the first line of patient stratification. It then continued on the diagnostic pathway via imaging techniques, biopsy, or active surveillance, and then on to the treatment decision itself. In conclusion, the prostate cancer diagnostic algorithm presented here is a functional tool for initial patient stratification, comprehensive staging, and aggressiveness assessment. Above all, emphasis is placed on the use of the Prostate Health Index (PHI) in the first stratification of the patients as a predictor of aggressiveness and clinical stage of prostrate cancer (PCa). The inclusion of PHI in the algorithm significantly increases the accuracy and speed of the diagnostic procedure and allows to choose the optimal pathway just from the beginning. The use of advanced diagnostic techniques allows us to move towards to a more advanced level of cancer care. This diagnostics algorithm has become a standard of care in our hospital. The algorithm is continuously validated and modified based on our results. |
| first_indexed | 2024-03-10T12:31:56Z |
| format | Article |
| id | doaj.art-6c1766363a7b485187679d0d5d1a0463 |
| institution | Directory Open Access Journal |
| issn | 2075-1729 |
| language | English |
| last_indexed | 2024-03-10T12:31:56Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Life |
| spelling | doaj.art-6c1766363a7b485187679d0d5d1a04632023-11-21T14:36:04ZengMDPI AGLife2075-17292021-04-0111432410.3390/life11040324Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment DecisionHana Sedláčková0Olga Dolejšová1Milan Hora2Jiří Ferda3Ondřej Hes4Ondřej Topolčan5Radka Fuchsová6Radek Kučera7Department of Urology, Faculty of Medicine in Pilsen, University Hospital, 305 99 Pilsen, Czech RepublicDepartment of Urology, Faculty of Medicine in Pilsen, University Hospital, 305 99 Pilsen, Czech RepublicDepartment of Urology, Faculty of Medicine in Pilsen, University Hospital, 305 99 Pilsen, Czech RepublicDepartment of Medical Imaging, Faculty of Medicine in Pilsen, University Hospital, 304 60 Pilsen, Czech RepublicDepartment of Pathology, Faculty of Medicine in Pilsen, University Hospital, 305 99 Pilsen, Czech RepublicDepartment of Immunochemistry Diagnostics, Faculty of Medicine in Pilsen, University Hospital, 305 99 Pilsen, Czech RepublicDepartment of Immunochemistry Diagnostics, Faculty of Medicine in Pilsen, University Hospital, 305 99 Pilsen, Czech RepublicDepartment of Immunochemistry Diagnostics, Faculty of Medicine in Pilsen, University Hospital, 305 99 Pilsen, Czech RepublicThe diagnostics of prostate cancer are currently based on three pillars: prostate biomarker panel, imaging techniques, and histological verification. This paper presents a diagnostic algorithm that can serve as a “road map”: from initial patient stratification to the final decision regarding treatment. The algorithm is based on a review of the current literature combined with our own experience. Diagnostic algorithms are a feature of an advanced healthcare system in which all steps are consciously coordinated and optimized to ensure the proper individualization of the treatment process. The prostate cancer diagnostic algorithm was created using the prostate specific antigen and in particular the Prostate Health Index in the first line of patient stratification. It then continued on the diagnostic pathway via imaging techniques, biopsy, or active surveillance, and then on to the treatment decision itself. In conclusion, the prostate cancer diagnostic algorithm presented here is a functional tool for initial patient stratification, comprehensive staging, and aggressiveness assessment. Above all, emphasis is placed on the use of the Prostate Health Index (PHI) in the first stratification of the patients as a predictor of aggressiveness and clinical stage of prostrate cancer (PCa). The inclusion of PHI in the algorithm significantly increases the accuracy and speed of the diagnostic procedure and allows to choose the optimal pathway just from the beginning. The use of advanced diagnostic techniques allows us to move towards to a more advanced level of cancer care. This diagnostics algorithm has become a standard of care in our hospital. The algorithm is continuously validated and modified based on our results.https://www.mdpi.com/2075-1729/11/4/324prostate cancerdiagnostic algorithmprostate health indexbiopsyGleason scoremagnetic resonance |
| spellingShingle | Hana Sedláčková Olga Dolejšová Milan Hora Jiří Ferda Ondřej Hes Ondřej Topolčan Radka Fuchsová Radek Kučera Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment Decision Life prostate cancer diagnostic algorithm prostate health index biopsy Gleason score magnetic resonance |
| title | Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment Decision |
| title_full | Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment Decision |
| title_fullStr | Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment Decision |
| title_full_unstemmed | Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment Decision |
| title_short | Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment Decision |
| title_sort | prostate cancer diagnostic algorithm as a road map from the first stratification of the patient to the final treatment decision |
| topic | prostate cancer diagnostic algorithm prostate health index biopsy Gleason score magnetic resonance |
| url | https://www.mdpi.com/2075-1729/11/4/324 |
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