Electronic nose technology in the diagnosis of prostate cancer

Prostate cancer is a significant problem in modern oncourology due to its high incidence and mortality, largely due to untimely diagnosis of the disease. This article provides an overview of current diagnostic methods, including biopsy and magnetic resonance imaging, highlighting their limitations such as invasiveness and insufficient sensitivity. Given the need for more accurate and non-invasive diagnostic techniques, the potential use of an “electronic nose” — a multisensory system capable of detecting volatile organic compounds in urine samples — is explored. The literature review indicates that the use of this technique may offer high sensitivity and specificity in detecting prostate cancer, comparable to results obtained from specially trained detection dogs. The article analyzes recent clinical studies that validate the effectiveness of the electronic nose in identifying prostate cancer and describes the machine learning methodologies employed for recognizing urine samples. It is important to create uniform standards for the analysis of the gas composition of urine using the electronic nose. For the widespread implementation of this diagnostic method, it is necessary to conduct large randomized studies with the formation of a sufficient evidence base.

Authors

Institutions

Publication Details

Journal
Urology reports (St - Petersburg)
Published
2025-05-07
DOI
https://doi.org/10.17816/uroved642499
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electronic nose technology in the diagnosis of prostate cancer

M. S. Mosoyan, Igor Jahatspanian, A. Yu. Vasil’ev, Vladimir A. Makeev
Urology reports (St - Petersburg)
Advanced Chemical Sensor Technologies
article

Electronic nose technology in the diagnosis of prostate cancer

M. S. Mosoyan, Igor Jahatspanian, A. Yu. Vasil’ev, Vladimir A. Makeev
article en

Abstract

Prostate cancer is a significant problem in modern oncourology due to its high incidence and mortality, largely due to untimely diagnosis of the disease. This article provides an overview of current diagnostic methods, including biopsy and magnetic resonance imaging, highlighting their limitations such as invasiveness and insufficient sensitivity. Given the need for more accurate and non-invasive diagnostic techniques, the potential use of an “electronic nose” — a multisensory system capable of detecting volatile organic compounds in urine samples — is explored. The literature review indicates that the use of this technique may offer high sensitivity and specificity in detecting prostate cancer, comparable to results obtained from specially trained detection dogs. The article analyzes recent clinical studies that validate the effectiveness of the electronic nose in identifying prostate cancer and describes the machine learning methodologies employed for recognizing urine samples. It is important to create uniform standards for the analysis of the gas composition of urine using the electronic nose. For the widespread implementation of this diagnostic method, it is necessary to conduct large randomized studies with the formation of a sufficient evidence base.

Urology reports (St - Petersburg)Vol. 15(1)
First Pavlov State Medical University of St. Petersburg (RU), Federal Almazov North-West Medical Research Centre (RU)
Openalex Percentile: Top 91%
Advanced Chemical Sensor Technologies
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.