Cancer Diagnosis by Neural Network Analysis of Data from Semiconductor Sensors

Overview

Journal Diagnostics (Basel)

Specialty Radiology

Date 2020 Sep 9

PMID 32899544

Citations 2

Authors

Vladimir I Chernov

Evgeniy L Choynzonov

Denis E Kulbakin

Elena V Obkhodskaya

Artem V Obkhodskiy

Aleksandr S Popov

Victor I Sachkov

Anna S Sachkova

Affiliations

Soon will be listed here.

Abstract

"Electronic nose" technology, including technical and software tools to analyze gas mixtures, is promising regarding the diagnosis of malignant neoplasms. This paper presents the research results of breath samples analysis from 59 people, including patients with a confirmed diagnosis of respiratory tract cancer. The research was carried out using a gas analytical system including a sampling device with 14 metal oxide sensors and a computer for data analysis. After digitization and preprocessing, the data were analyzed by a neural network with perceptron architecture. As a result, the accuracy of determining oncological disease was 81.85%, the sensitivity was 90.73%, and the specificity was 61.39%.

Citing Articles

Exploring Components, Sensors, and Techniques for Cancer Detection via eNose Technology: A Systematic Review.

Ramirez W, Pillajo V, Ramirez E, Manzano I, Meza D Sensors (Basel). 2024; 24(23).

PMID: 39686404 PMC: 11645018. DOI: 10.3390/s24237868.

Non-Invasive Diagnosis of Malignancies Based on the Analysis of Markers in Exhaled Air.

Chernov V, Choynzonov E, Kulbakin D, Menkova E, Obkhodskaya E, Obkhodskiy A Diagnostics (Basel). 2020; 10(11).

PMID: 33187053 PMC: 7696783. DOI: 10.3390/diagnostics10110934.

References

Shaha A . Training in head and neck surgery and oncology. J Surg Oncol. 2008; 97(8):717-20. DOI: 10.1002/jso.21008. View

Lirk P, Bodrogi F, Raifer H, Greiner K, Ulmer H, Rieder J . Elective haemodialysis increases exhaled isoprene. Nephrol Dial Transplant. 2003; 18(5):937-41. DOI: 10.1093/ndt/gfg049. View

Herman-Saffar O, Boger Z, Libson S, Lieberman D, Gonen R, Zeiri Y . Early non-invasive detection of breast cancer using exhaled breath and urine analysis. Comput Biol Med. 2018; 96:227-232. DOI: 10.1016/j.compbiomed.2018.04.002. View

DAmico A, Pennazza G, Santonico M, Martinelli E, Roscioni C, Galluccio G . An investigation on electronic nose diagnosis of lung cancer. Lung Cancer. 2009; 68(2):170-6. DOI: 10.1016/j.lungcan.2009.11.003. View

Li W, Liu H, Xie D, He Z, Pi X . Lung Cancer Screening Based on Type-different Sensor Arrays. Sci Rep. 2017; 7(1):1969. PMC: 5434050. DOI: 10.1038/s41598-017-02154-9. View

van Hooren M, Leunis N, Brandsma D, Dingemans A, Kremer B, Kross K . Differentiating head and neck carcinoma from lung carcinoma with an electronic nose: a proof of concept study. Eur Arch Otorhinolaryngol. 2016; 273(11):3897-3903. PMC: 5052311. DOI: 10.1007/s00405-016-4038-x. View

Altomare D, Di Lena M, Porcelli F, Trizio L, Travaglio E, Tutino M . Exhaled volatile organic compounds identify patients with colorectal cancer. Br J Surg. 2012; 100(1):144-50. DOI: 10.1002/bjs.8942. View

van de Goor R, van Hooren M, Dingemans A, Kremer B, Kross K . Training and Validating a Portable Electronic Nose for Lung Cancer Screening. J Thorac Oncol. 2018; 13(5):676-681. DOI: 10.1016/j.jtho.2018.01.024. View

Schuermans V, Li Z, Jongen A, Wu Z, Shi J, Ji J . Pilot Study: Detection of Gastric Cancer From Exhaled Air Analyzed With an Electronic Nose in Chinese Patients. Surg Innov. 2018; 25(5):429-434. PMC: 6166235. DOI: 10.1177/1553350618781267. View

10.

Behera B, Joshi R, Anil Vishnu G, Bhalerao S, Pandya H . Electronic nose: a non-invasive technology for breath analysis of diabetes and lung cancer patients. J Breath Res. 2019; 13(2):024001. DOI: 10.1088/1752-7163/aafc77. View

11.

Leunis N, Boumans M, Kremer B, Din S, Stobberingh E, Kessels A . Application of an electronic nose in the diagnosis of head and neck cancer. Laryngoscope. 2013; 124(6):1377-81. DOI: 10.1002/lary.24463. View

12.

Phillips M, Cataneo R, Cummin A, Gagliardi A, Gleeson K, Greenberg J . Detection of lung cancer with volatile markers in the breath. Chest. 2003; 123(6):2115-23. DOI: 10.1378/chest.123.6.2115. View

13.

McGivney W . The National Comprehensive Cancer Network: present and future directions. Cancer. 1998; 82(10 Suppl):2057-60. DOI: 10.1002/(sici)1097-0142(19980515)82:10+<2057::aid-cncr14>3.0.co;2-a. View

14.

Smith D, Spanel P, Enderby B, Lenney W, Turner C, Davies S . Isoprene levels in the exhaled breath of 200 healthy pupils within the age range 7-18 years studied using SIFT-MS. J Breath Res. 2011; 4(1):017101. DOI: 10.1088/1752-7155/4/1/017101. View

15.

Mohamed E, Mohamed M, Abdel-Mageed S, Abdel-Mohdy T, Badawi M, Darwish S . Volatile organic compounds of biofluids for detecting lung cancer by an electronic nose based on artificial neural network. J Appl Biomed. 2021; 17(1):67. DOI: 10.32725/jab.2018.006. View

16.

Kort S, Brusse-Keizer M, Gerritsen J, van der Palen J . Data analysis of electronic nose technology in lung cancer: generating prediction models by means of Aethena. J Breath Res. 2017; 11(2):026006. DOI: 10.1088/1752-7163/aa6b08. View

17.

Rydosz A . A Negative Correlation Between Blood Glucose and Acetone Measured in Healthy and Type 1 Diabetes Mellitus Patient Breath. J Diabetes Sci Technol. 2015; 9(4):881-4. PMC: 4525665. DOI: 10.1177/1932296815572366. View

18.

Winkler K, Herbig J, Kohl I . Real-time metabolic monitoring with proton transfer reaction mass spectrometry. J Breath Res. 2013; 7(3):036006. DOI: 10.1088/1752-7155/7/3/036006. View

19.

Altomare D, Di Lena M, Porcelli F, Travaglio E, Longobardi F, Tutino M . Effects of Curative Colorectal Cancer Surgery on Exhaled Volatile Organic Compounds and Potential Implications in Clinical Follow-up. Ann Surg. 2015; 262(5):862-6. DOI: 10.1097/SLA.0000000000001471. View

20.

Lei J, Hou C, Huo D, Luo X, Bao M, Li X . A novel device based on a fluorescent cross-responsive sensor array for detecting lung cancer related volatile organic compounds. Rev Sci Instrum. 2015; 86(2):025106. DOI: 10.1063/1.4907628. View