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. 2021 Apr 15;127(8):1286-1292.
doi: 10.1002/cncr.33437. Epub 2021 Mar 19.

Sensing gastric cancer via point-of-care sensor breath analyzer

Marcis Leja  1   2   3 , Juha M Kortelainen  4 , Inese Polaka  1 , Emmi Turppa  4 , Jan Mitrovics  5 , Marta Padilla  5 , Pawel Mochalski  6   7 , Gregory Shuster  8 , Roland Pohle  9 , Dmitry Kashanin  10 , Richard Klemm  11 , Veikko Ikonen  12 , Linda Mezmale  1   2 , Yoav Y Broza  13 , Gidi Shani  13 , Hossam Haick  13 ; SniffPhone Project Research Group
Collaborators, Affiliations

Sensing gastric cancer via point-of-care sensor breath analyzer

Marcis Leja et al. Cancer. .

Abstract

Background: Detection of disease by means of volatile organic compounds from breath samples using sensors is an attractive approach to fast, noninvasive and inexpensive diagnostics. However, these techniques are still limited to applications within the laboratory settings. Here, we report on the development and use of a fast, portable, and IoT-connected point-of-care device (so-called, SniffPhone) to detect and classify gastric cancer to potentially provide new qualitative solutions for cancer screening.

Methods: A validation study of patients with gastric cancer, patients with high-risk precancerous gastric lesions, and controls was conducted with 2 SniffPhone devices. Linear discriminant analysis (LDA) was used as a classifying model of the sensing signals obatined from the examined groups. For the testing step, an additional device was added. The study group included 274 patients: 94 with gastric cancer, 67 who were in the high-risk group, and 113 controls.

Results: The results of the test set showed a clear discrimination between patients with gastric cancer and controls using the 2-device LDA model (area under the curve, 93.8%; sensitivity, 100%; specificity, 87.5%; overall accuracy, 91.1%), and acceptable results were also achieved for patients with high-risk lesions (the corresponding values for dysplasia were 84.9%, 45.2%, 87.5%, and 65.9%, respectively). The test-phase analysis showed lower accuracies, though still clinically useful.

Conclusion: Our results demonstrate that a portable breath sensor device could be useful in point-of-care settings. It shows a promise for detection of gastric cancer as well as for other types of disease.

Lay summary: A portable sensor-based breath analyzer for detection of gastric cancer can be used in point-of-care settings. The results are transferrable between devices via advanced IoT technology. Both the hardware and software of the reported breath analyzer could be easily modified to enable detection and monitirng of other disease states.

Keywords: breath analyzer; gastric cancer; personalized; precancerous lesion; screening; volatile organic compound.

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References

    1. Council of the European Union. Council recommendation of 2 December 2003 on cancer screening. Official J Europ Union. 2003;327:16.12.2003.
    1. Car J, Sheikh A, Wicks P, Williams MS. Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom. BMC Medicine. 2019;17:143.
    1. Einoch Amor R, Nakhleh MK, Barash O, Haick H. Breath analysis of cancer in the present and the future. Eur Respir Rev. 2019;28:190002.
    1. Wilson, JM, Jungner, YG. Principles and practice of mass screening for disease. Bol Oficina Sanit Panam. 1968;65:281-393.
    1. Palmieri B, Nardo B, Lippi G, Palmieri L, Vadalà M, Laurino C. Dogs' olfactory diagnostics applied on human species: state of the art and clinical perspectives. La Clinica Terap. 2016;167:e78-e84.

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