ClinicalTrials.gov
public full text
Public Domain
The Predictive Value of Prostate Spherical Volume Ratio in Lower Urinary Tract Symptoms and Clinical Progression of Benign Prostatic Hyperplasia:A Single-center Paired Validating Confirmatory Study
This study was a retrospective cohort study clinical trial designed to assess the predictive ability of the prostate morphometric parameter, Prostate Spherical Volume Ratio, in the lower urinary tract symptoms and clinical progression of benign prostatic hyperplasia; and to compare the predictive ability of other anatomical parameters of the prostate (prostatic urethral length, intravesical prostatic protrusion, presumed circle area ratio, and prostate volume) in the lower urinary tract symptoms and clinical progression of benign prostatic hyperplasia
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Comparison of Holmium, Thulium:YAG, and Thulium Fiber Lasers in Prostate Enucleation#852996
- The Utility of PSADv (PSA Density Velocity) While on Dutasteride for Predicting Prostate Cancer Incidence and Grade and Stage#978822
- Correlation between urinary flow rate, quality of life and international prostate symptom score [I-PSS] in patients with benign prostatic hyperplasia (BPH)#644864
- Study to Evaluate the Presence of Lower Urinary Tract Symptoms (LUTS) in Prostate Cancer Patients Scheduled to Receive Luteinizing Hormone Releasing Hormone (LHRH) Analogues#866606
- SBRT for Localized Prostate Cancer: CyberKnife vs. VMAT-FFF, a Dosimetric Study#247036
Record · ID 894531
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive