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Picciariello A, Dezi A, Vincenti L, Spampinato MG, Zang W, Riahi P, Scott J, Sharma R, Fan X, Altomare DF. Colorectal Cancer Diagnosis through Breath Test Using a Portable Breath Analyzer-Preliminary Data. Sensors (Basel) 2024; 24:2343. [PMID: 38610554 PMCID: PMC11014225 DOI: 10.3390/s24072343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 03/28/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024]
Abstract
Screening methods available for colorectal cancer (CRC) to date are burdened by poor reliability and low patient adherence and compliance. An altered pattern of volatile organic compounds (VOCs) in exhaled breath has been proposed as a non-invasive potential diagnostic tool for distinguishing CRC patients from healthy controls (HC). The aim of this study was to evaluate the reliability of an innovative portable device containing a micro-gas chromatograph in enabling rapid, on-site CRC diagnosis through analysis of patients' exhaled breath. In this prospective trial, breath samples were collected in a tertiary referral center of colorectal surgery, and analysis of the chromatograms was performed by the Biomedical Engineering Department. The breath of patients with CRC and HC was collected into Tedlar bags through a Nafion filter and mouthpiece with a one-way valve. The breath samples were analyzed by an automated portable gas chromatography device. Relevant volatile biomarkers and discriminant chromatographic peaks were identified through machine learning, linear discriminant analysis and principal component analysis. A total of 68 subjects, 36 patients affected by histologically proven CRC with no evidence of metastases and 32 HC with negative colonoscopies, were enrolled. After testing a training set (18 CRC and 18 HC) and a testing set (18 CRC and 14 HC), an overall specificity of 87.5%, sensitivity of 94.4% and accuracy of 91.2% in identifying CRC patients was found based on three VOCs. Breath biopsy may represent a promising non-invasive method of discriminating CRC patients from HC.
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Affiliation(s)
| | - Agnese Dezi
- Department of Precision and Regenerative Medicine and Ionian Area and Interdepartmental Research Center for Pelvic Floor Diseases (CIRPAP), University Aldo Moro of Bari, 70124 Bari, Italy
| | - Leonardo Vincenti
- Surgical Unit, IRCCS de Bellis, Castellana Grotte, 70013 Bari, Italy;
| | | | - Wenzhe Zang
- Biomedical Engineering Department, University of Michigan, 1101 Beal Ave., Ann Arbor, MI 48109, USA; (W.Z.); (J.S.); (R.S.); (X.F.)
| | - Pamela Riahi
- Biomedical Engineering Department, University of Michigan, 1101 Beal Ave., Ann Arbor, MI 48109, USA; (W.Z.); (J.S.); (R.S.); (X.F.)
| | - Jared Scott
- Biomedical Engineering Department, University of Michigan, 1101 Beal Ave., Ann Arbor, MI 48109, USA; (W.Z.); (J.S.); (R.S.); (X.F.)
| | - Ruchi Sharma
- Biomedical Engineering Department, University of Michigan, 1101 Beal Ave., Ann Arbor, MI 48109, USA; (W.Z.); (J.S.); (R.S.); (X.F.)
| | - Xudong Fan
- Biomedical Engineering Department, University of Michigan, 1101 Beal Ave., Ann Arbor, MI 48109, USA; (W.Z.); (J.S.); (R.S.); (X.F.)
| | - Donato F. Altomare
- Department of Precision and Regenerative Medicine and Ionian Area and Interdepartmental Research Center for Pelvic Floor Diseases (CIRPAP), University Aldo Moro of Bari, 70124 Bari, Italy
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