Grading Canine Benign Prostatic Hyperplasia: A Survey of Veterinary Practice and the Development of a Web-Based Symptom Index

Benign prostatic hyperplasia (BPH) affects more than 95% of intact male dogs, yet most remain asymptomatic until prostatic enlargement causes clinical signs. Standardised assessment of BPH severity is therefore needed to improve clinical decision-making and enable comparable research outcomes. This study aimed to investigate current diagnostic and therapeutic approaches to canine BPH and to develop and assess a web-based application implementing the Zambelli Symptom Index (ZSI), an established symptom-based scoring system for BPH severity. A voluntary questionnaire was completed by veterinary practitioners to assess current clinical practice, and agreement between the web-based and reference paper-based ZSI classifications was evaluated. The survey revealed considerable variability in the recognition of clinical signs, assessment of BPH severity, and selection of treatment strategies, despite broad agreement on the diagnostic value of ultrasonography and the need for further investigation of prostatic enlargement. The web-based ZSI showed very high agreement with the reference classification. These findings demonstrate that the ZSI can be implemented digitally without materially affecting severity classification. The web-based tool may improve the standardisation and reproducibility of BPH assessment in clinical practice and research. Further studies are warranted to evaluate interobserver variability, clinical validity, and responsiveness to treatment.

Authors

Institutions

Publication Details

Journal
Animals
Published
2026-09-09
DOI
https://doi.org/10.3390/ani16182833
Primary Topic
Urinary Bladder and Prostate Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Grading Canine Benign Prostatic Hyperplasia: A Survey of Veterinary Practice and the Development of a Web-Based Symptom Index

Giulia Ballotta, Diego Bucci, Marco Cunto, Daniele Zambelli et al.
Animals
Urinary Bladder and Prostate Research
article

Grading Canine Benign Prostatic Hyperplasia: A Survey of Veterinary Practice and the Development of a Web-Based Symptom Index

Giulia Ballotta, Diego Bucci, Marco Cunto, Daniele Zambelli, Lucia Pagliuca
article en

Abstract

Benign prostatic hyperplasia (BPH) affects more than 95% of intact male dogs, yet most remain asymptomatic until prostatic enlargement causes clinical signs. Standardised assessment of BPH severity is therefore needed to improve clinical decision-making and enable comparable research outcomes. This study aimed to investigate current diagnostic and therapeutic approaches to canine BPH and to develop and assess a web-based application implementing the Zambelli Symptom Index (ZSI), an established symptom-based scoring system for BPH severity. A voluntary questionnaire was completed by veterinary practitioners to assess current clinical practice, and agreement between the web-based and reference paper-based ZSI classifications was evaluated. The survey revealed considerable variability in the recognition of clinical signs, assessment of BPH severity, and selection of treatment strategies, despite broad agreement on the diagnostic value of ultrasonography and the need for further investigation of prostatic enlargement. The web-based ZSI showed very high agreement with the reference classification. These findings demonstrate that the ZSI can be implemented digitally without materially affecting severity classification. The web-based tool may improve the standardisation and reproducibility of BPH assessment in clinical practice and research. Further studies are warranted to evaluate interobserver variability, clinical validity, and responsiveness to treatment.

AnimalsVol. 16(18)
University of Bologna (IT)
Gender equality, Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Urinary Bladder and Prostate Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.