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2. The Detection of Colorectal Cancer through Machine Learning-Based Breath Sensor Analysis

Author

Poļaka, Inese, primary, Mežmale, Linda, additional, Anarkulova, Linda, additional, Kononova, Elīna, additional, Vilkoite, Ilona, additional, Veliks, Viktors, additional, Ļeščinska, Anna Marija, additional, Stonāns, Ilmārs, additional, Pčolkins, Andrejs, additional, Tolmanis, Ivars, additional, Shani, Gidi, additional, Haick, Hossam, additional, Mitrovics, Jan, additional, Glöckler, Johannes, additional, Mizaikoff, Boris, additional, and Leja, Mārcis, additional

Published
2023
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3. Breath Fingerprint of Colorectal Cancer Patients Based on the Gas Chromatography–Mass Spectrometry Analysis.

Author

Kononova, Elīna, Mežmale, Linda, Poļaka, Inese, Veliks, Viktors, Anarkulova, Linda, Vilkoite, Ilona, Tolmanis, Ivars, Ļeščinska, Anna Marija, Stonāns, Ilmārs, Pčolkins, Andrejs, Mochalski, Pawel, and Leja, Mārcis

Subjects
GAS chromatography/Mass spectrometry (GC-MS), COLORECTAL cancer, CANCER patients, VOLATILE organic compounds, DIETHYL phthalate, TETRADECANE, PHTHALATE esters
Abstract

The human body emits a multitude of volatile organic compounds (VOCs) via tissues and various bodily fluids or exhaled breath. These compounds collectively create a distinctive chemical profile, which can potentially be employed to identify changes in human metabolism associated with colorectal cancer (CRC) and, consequently, facilitate the diagnosis of this disease. The main goal of this study was to investigate and characterize the VOCs' chemical patterns associated with the breath of CRC patients and controls and identify potential expiratory markers of this disease. For this purpose, gas chromatography–mass spectrometry was applied. Collectively, 1656 distinct compounds were identified in the breath samples provided by 152 subjects. Twenty-two statistically significant VOCs (p-xylene; hexanal; 2-methyl-1,3-dioxolane; 2,2,4-trimethyl-1,3-pentanediol diisobutyrate; hexadecane; nonane; ethylbenzene; cyclohexanone; diethyl phthalate; 6-methyl-5-hepten-2-one; tetrahydro-2H-pyran-2-one; 2-butanone; benzaldehyde; dodecanal; benzothiazole; tetradecane; 1-dodecanol; 1-benzene; 3-methylcyclopentyl acetate; 1-nonene; toluene) were observed at higher concentrations in the exhaled breath of the CRC group. The elevated levels of these VOCs in CRC patients' breath suggest the potential for these compounds to serve as biomarkers for CRC. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Modular Point-of-Care Breath Analyzer and Shape Taxonomy-Based Machine Learning for Gastric Cancer Detection

Author

Polaka, Inese, primary, Bhandari, Manohar Prasad, additional, Mezmale, Linda, additional, Anarkulova, Linda, additional, Veliks, Viktors, additional, Sivins, Armands, additional, Lescinska, Anna Marija, additional, Tolmanis, Ivars, additional, Vilkoite, Ilona, additional, Ivanovs, Igors, additional, Padilla, Marta, additional, Mitrovics, Jan, additional, Shani, Gidi, additional, Haick, Hossam, additional, and Leja, Marcis, additional

Published
2022
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8. Comparison of nice classification for optical diagnosis of colorectal polyps and morphology of removed lesions depending on localisation in colon

Author

Vilkoite, Ilona, Mežmale, Linda, Tolmanis, Ivars, Meri, Hosams Abu, Veide, Laura, Dzērve, Zane, Anarkulova, Linda, Nevidovska, Kristīne, and Lejnieks, Aivars

Abstract

The narrow-band imaging (NBI) International Colorectal Endoscopic (NICE) classification is based on narrow-band pictures of colon polyps viewed through a narrow-band spectrum. The categorisation utilises staining, surface structure, and vascular patterns to differentiate between hyperplastic and adenomatous colon polyps. It is known that accuracy of the NICE classification for colorectal polyps varies depending on the localisation in the colon.The aim of this study was to compare the diagnostic accuracy of the NICE classification and the gold standard — morphological analysis for the determination of the type of colorectal lesions depending on localisation in colon. A prospective study was performed in an outpatient clinic. 1214 colonoscopies were performed by two expert endoscopists and 475 polyps were found in 291 patients. The overall diagnostic accuracy of the NICE classification was 80.3%. Optical verification was better in ascending colon — 93.9%, followed by sigmoid colon — 82.1%. Inferior results were found for the descending colon — 64.0%. The results of this study showed that the NICE classification could be a helpful instrument in daily practice for the ascending and sigmoid colon. For better results, proper training should be considered. The NICE system could have a role in the replacement of morphological analysis if appropriate results of verification could be achieved.

Published
2022
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9. Prevalence of Helicobacter pylori infection and atrophic gastritis in Latvia

Author

Leja, Marcis, primary, Cine, Eva, additional, Rudzite, Dace, additional, Vilkoite, Ilona, additional, Huttunen, Teppo, additional, Daugule, Ilva, additional, Rumba-Rozenfelde, Ingrida, additional, Pimanov, Sergey, additional, Liepniece-Karele, Inta, additional, Pahomova, Jelena, additional, Purmalis, Karlis, additional, Eglitis, Janis, additional, Pirags, Valdis, additional, Dzerve, Vilnis, additional, and Erglis, Andrejs, additional

Published
2012
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10. Pepsinogen testing for evaluation of the success of Helicobacter pylorieradication at 4 weeks after completion of therapy

Author

Leja, Marcis, Lapina, Sanita, Polaka, Inese, Rudzite, Dace, Vilkoite, Ilona, Daugule, Ilva, Belkovets, Anna, Pimanov, Sergey, Makarenko, Jelena, Tolmanis, Ivars, Lejnieks, Aivars, Boka, Viesturs, Rumba-Rozenfelde, Ingrida, and Vikmanis, Uldis

Abstract

Pepsinogen levels in plasma are increased by inflammation in the gastric mucosa, including inflammation resulting from Helicobacter pyloriinfection. A decrease in pepsinogen II level has been suggested as a reliable marker to confirm the successful eradication of infection. The aim of our study was to evaluate the potential role of pepsinogens I and II, gastrin-17 and H. pyloriantibodies in confirming successful eradication.

Published
2014
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