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. 2023 Oct 6;23(1):205.
doi: 10.1186/s12911-023-02312-2.

Prostate cancer detection using e-nose and AI for high probability assessment

J B Talens  1   2 , J Pelegri-Sebastia  3 , T Sogorb  1 , J L Ruiz  4
Affiliations

Prostate cancer detection using e-nose and AI for high probability assessment

J B Talens et al. BMC Med Inform Decis Mak. .

Abstract

This research aims to develop a diagnostic tool that can quickly and accurately detect prostate cancer using electronic nose technology and a neural network trained on a dataset of urine samples from patients diagnosed with both prostate cancer and benign prostatic hyperplasia, which incorporates a unique data redundancy method. By analyzing signals from these samples, we were able to significantly reduce the number of unnecessary biopsies and improve the classification method, resulting in a recall rate of 91% for detecting prostate cancer. The goal is to make this technology widely available for use in primary care centers, to allow for rapid and non-invasive diagnoses.

Keywords: Deep learning; MOOSY-32; Machine intelligence; Neural networks; Prostate cancer; e-Nose.

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Conflict of interest statement

The authors declare no competing interests.

Figures

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Invasive rectal tract rendering
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Setting points at curves
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Neural network model from Netron App representation
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Confusion matrix from test-set
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Classify statistics results
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Confusion matrix from test-set
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Classify statistics results
See this image and copyright information in PMC

References

    1. Tchetgen MBN, Oesterling JE. The effect of prostatitis, urinary retention, ejaculation, and ambulation on the serum prostate-specific antigen concentration. Urol Clin North Am. 1997;24(2):283–291. doi: 10.1016/S0094-0143(05)70374-8. - DOI - PubMed
    1. Bostanci Y, Kazzazi A, Momtahen S, Laze J, Djavan B. Correlation between benign prostatic hyperplasia and inflammation. Curr Opin Urol. 2013;23:5–10. doi: 10.1097/MOU.0b013e32835abd4a. - DOI - PubMed
    1. Ankerst DP. et al. Serial Percent-Free PSA in Combination with PSA for Population-Based Early Detection of Prostate Cancer. J Urol. 2016. - PMC - PubMed
    1. Jia XM, Meng QH, Jing YQ, Qi PF, Zeng M, Ma SG. A new method combining KECA-LDA with ELM for classification of Chinese liquors using electronic nose. IEEE Sens J 2016;99.
    1. Jing Y, Meng Q, Qi P, Cao M, Zeng M, Ma S. A bioinspired neural net- work for data processing in an electronic nose. IEEE Trans Neural Netw Learn Syst. 2016;27(10):2369–2380.

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