ArticleCancer biomarkers : section A of Disease markers2020
Electronic nose to distinguish bladder cancer by urinary odour feature: A pilot study.
Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 14 citations in OpenAlex.
- Advances in Synthesis and Applications of Single-Atom Catalysts for Metal Oxide-Based Gas Sensors.Materials (Basel, Switzerland) · 2024Review
- Prostate cancer risk stratification via eNose urine odor analysis: a preliminary report.Frontiers in oncology · 2024Article
- Improved Non-Invasive Diagnosis of Bladder Cancer with an Electronic Nose: A Large Pilot Study.Journal of clinical medicine · 2021Article
- Detection of Lethal Bronzing Disease in Cabbage Palms (Biosensors · 2020Article
- Diagnosis of pathological conditions through electronic nose analysis of urine samples: a systematic review and meta-analysis.Porto biomedical journalReview
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNo study has yet investigated the use of electronic nose (eNose) technology to reveal pattern recognition of urological diseases, including bladder cancer.
objectiveWe sought to determine the diagnostic performance of the eNose in recognizing urinary odour in patients with bladder cancer.
methodsThe eNose is a commercially available model equipped with two sensors. The angle of the two sensors (θ) depends on the kinds of chemical substances, thus defining θ as the feature of odour. Quantity of odour is the number of θ detected during a measurement. Urine samples were from 36 untreated patients with bladder cancer, 29 with urolithiasis, 10 with urinary tract infection (UTI), and 27 healthy volunteers.
resultsBased on ROC analysis of the quantity in patients with bladder cancer, an optimal cut-off value for θ of 49, 48, and 55 was applied to compare with samples from the healthy volunteer, urolithiasis and UTI groups, respectively. There were significantly differences between bladder cancer and the other conditions using these specific points (p< 0.0001, respectively). The resulting diagnostic sensitivity was 61.4%, 45.6%, and 60.8%, and specificity was 52.8%, 68.4%, and 90.2%, respectively. The AUC for bladder cancer was 0.565, 0.548, and 0.909, respectively.
conclusionThe eNose is a small, portable, rapid, low cost, and noninvasive instrument for distinguishing bladder cancer from other benign conditions.
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