Accuracy of a new electronic nose for prostate cancer diagnosis in urine samples

Grizzi, Fabio; Magagnin, Luca

doi:10.1111/iju.14912

Cited by 18 publications

(23 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Asimakopoulos, Taverna, Talens, and Filianoti employed different electronic noses with and without neural network approaches to analyze urine samples and harvested sensitivities of 71.4%-85% and specificities of 79%-92.6%. [12][13][14][15] Waltman et al 16 used a different approach and used a novel electronic nose to examine exhaled breath. This resulted in a sensitivity and specificity of 84% each.…”

Section: Resultsmentioning

confidence: 99%

“…This is in keeping with previous research by other groups who also found limited accuracy when using electronic noses. Asimakopoulos, Taverna, Talens, and Filianoti employed different electronic noses with and without neural network approaches to analyze urine samples and harvested sensitivities of 71.4%–85% and specificities of 79%–92.6% 12–15 . Waltman et al 16 used a different approach and used a novel electronic nose to examine exhaled breath.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

VOC‐based detection of prostate cancer using an electronic nose and ion mobility spectrometry: A novel urine‐based approach

Heers,

Chwilka,

Huber

et al. 2024

The Prostate

View full text Add to dashboard Cite

BackgroundMany diseases leave behind specific metabolites which can be detected from breath and urine as volatile organic compounds (VOC). Our group previously described VOC‐based methods for the detection of bladder cancer and urinary tract infections. This study investigated whether prostate cancer can be diagnosed from VOCs in urine headspace.MethodsFor this pilot study, mid‐stream urine samples were collected from 56 patients with histologically confirmed prostate cancer. A control group was formed with 53 healthy male volunteers matched for age who had recently undergone a negative screening by prostate‐specific antigen (PSA) and digital rectal exam. Headspace measurements were performed with the electronic nose Cyranose 320TM. Statistical comparison was performed using principal component analysis, calculating Mahalanobis distance, and linear discriminant analysis. Further measurements were carried out with ion mobility spectrometry (IMS) to compare detection accuracy and to identify potential individual analytes. Bonferroni correction was applied for multiple testing.ResultsThe electronic nose yielded a sensitivity of 77% and specificity of 62%. Mahalanobis distance was 0.964, which is indicative of limited group separation. IMS identified a total of 38 individual analytical peaks, two of which showed significant differences between groups (p < 0.05). To discriminate between tumor and controls, a decision tree with nine steps was generated. This model led to a sensitivity of 98% and specificity of 100%.ConclusionsVOC‐based detection of prostate cancer seems feasible in principle. While the first results with an electronic nose show some limitations, the approach can compete with other urine‐based marker systems. However, it seems less reliable than PSA testing. IMS is more accurate than the electronic nose with promising sensitivity and specificity, which warrants further research. The individual relevant metabolites identified by IMS should further be characterized using gas chromatography/mass spectrometry to facilitate potential targeted rapid testing.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

VOC‐based detection of prostate cancer using an electronic nose and ion mobility spectrometry: A novel urine‐based approach

Heers,

Chwilka,

Huber

et al. 2024

The Prostate

View full text Add to dashboard Cite

show abstract

“…[60 ▪▪ ]and Capelli et al [33] assessed the accuracy of an electronic nose composed of MOS sensors and machine learning using pattern recognition techniques for early detection of prostate cancer. The sensitivity values reported were 85.2 and 82%, while the specificities were 79.1 and 87%, respectively [33,60 ▪▪ ].…”

Section: Urological Cancers and The Detection Of Volatile Organic Com...mentioning

confidence: 88%

Detection of urological cancers by the signature of organic volatile compounds in urine, from dogs to electronic noses

Gaye,

Fall,

Jalloh

et al. 2023

Current Opinion in Urology

View full text Add to dashboard Cite

Purpose of review Urine volatile organic compound (VOC) testing for early detection of urological cancers is a minimally invasive and promising method. The objective of this review was to present the results of recently published work on this subject. Recent findings Organic volatile compounds are produced through oxidative stress and peroxidation of cell membranes, and they are eliminated through feces, urine, and sweat. Studies looking for VOCs in urine for the diagnosis of urological cancers have mostly focused on bladder and prostate cancers. However, the number of patients included in the studies was small. The electronic nose was the most widely used means of detecting VOCs in urine for the detection of urological cancers. MOS sensors and pattern recognition machine learning were more used for the composition of electronic noses. Early detection of urological cancers by detection of VOCs in urine is a method with encouraging results with sensitivities ranging from 27 to 100% and specificities ranging from 72 to 94%. Summary The olfactory signature of urine from patients with urological cancers is a promising biomarker for the early diagnosis of urological cancers. The electronic nose with its ability to recognize complex odors is an excellent alterative to canine diagnosis and analytical techniques. Nevertheless, additional research improving the technology of Enoses and the methodology of the studies is necessary for its implementation in daily clinical practice.

show abstract

“…Urine analysis via an e-nose has been shown to distinguish between PCa patients and healthy controls, according to their volatilome profiling. Filianoti et al [ 54 ], Taverna et al [ 92 ], Capelli et al [ 93 ], and Bannaga et al [ 94 ] used different methodologies based on urine analysis through e-noses ( Table 3 ) and proved that urine headspace and its modification are connected to cancer. In turn, Waltman et al [ 95 ] used an e-nose to distinguish between PCa patients and healthy controls, according to the volatilome profiling of exhaled breath.…”

Section: Contribution Of the Omics Sciencementioning

confidence: 99%

Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers

Berenguer

Pereira

Câmara

2022

Cancers

View full text Add to dashboard Cite

Despite the spectacular advances in molecular medicine, including genomics, proteomics, transcriptomics, lipidomics, and personalized medicine, supported by the discovery of the human genome, prostate cancer (PCa) remains the most frequent malignant tumor and a leading cause of oncological death in men. New methods for prognostic, diagnostic, and therapy evaluation are mainly based on the combination of imaging techniques with other methodologies, such as gene or protein profiling, aimed at improving PCa management and surveillance. However, the lack of highly specific and sensitive biomarkers for its early detection is a major hurdle to this goal. Apart from classical biomarkers, the study of endogenous volatile organic metabolites (VOMs) biosynthesized by different metabolic pathways and found in several biofluids is emerging as an innovative, efficient, accessible, and non-invasive approach to establish the volatilomic biosignature of PCa patients, unravelling potential biomarkers. This review provides a brief overview of the challenges of PCa screening methods and emergent biomarkers. We also focus on the potential of volatilomics for the establishment of PCa biomarkers from non-invasive matrices.

show abstract

Accuracy of a new electronic nose for prostate cancer diagnosis in urine samples

Cited by 18 publications

References 28 publications

VOC‐based detection of prostate cancer using an electronic nose and ion mobility spectrometry: A novel urine‐based approach

VOC‐based detection of prostate cancer using an electronic nose and ion mobility spectrometry: A novel urine‐based approach

Detection of urological cancers by the signature of organic volatile compounds in urine, from dogs to electronic noses

Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers

Contact Info

Product

Resources

About