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Updated: Jun 3, 2026

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Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization
Published on: November 17, 2023
Predictive preoperatory variables of the prostate tumor volume
Andrada Loghin1, O Preda, V Bacârea
1Department of Histology, University of Medicine and Pharmacy of Targu Mures, Romania. andradaloghin@yahoo.com
Summary
This study developed a new scoring system to predict prostate cancer (PCa) volume before surgery. The system uses Gleason score, positive biopsies, and tumor length for better preoperative evaluation.
Area of Science:
- Urology
- Oncology
- Medical Imaging
Background:
- Prostate cancer (PCa) is a leading malignancy in men globally.
- Accurate preoperative tumor volume estimation is crucial for treatment decisions, particularly for radical prostatectomy (RP).
- Identifying smaller, less aggressive tumors can help avoid immediate radical prostatectomy.
Purpose of the Study:
- To evaluate preoperative variables for predicting final tumor volume after radical prostatectomy (RP).
- To develop a practical scoring system for prospective prostate cancer (PCa) volume evaluation.
Main Methods:
- Analysis of 128 prostate cancer (PCa) cases.
- Evaluation of preoperative variables: patient age, prostate volume (ultrasound), serum PSA, number of positive biopsies, tumor size, tumor length percentage, and Gleason score.
- Development and statistical validation of a predictive scoring system.
Main Results:
- Several preoperative variables were assessed for their correlation with final tumor volume.
- A statistically validated scoring system combining Gleason score, number of positive biopsies, and tumor length percentage was developed.
- This system demonstrated a significant correlation and predictive capability for prostate cancer (PCa) tumor volume.
Conclusions:
- The developed scoring system offers a practical and effective method for prospective prostate cancer (PCa) volume evaluation.
- This tool can aid clinicians in refining treatment strategies by better estimating tumor volume preoperatively.
- The findings contribute valuable insights into the preoperative assessment of prostate cancer (PCa).
