Analysis of volatile organic compounds in rats with dopaminergic lesion: Possible application for early detection of Parkinson’s disease

2014 ◽  
Vol 76 ◽  
pp. 82-90 ◽  
Author(s):  
S. Khatib ◽  
J.P.M. Finberg ◽  
F. Artoul ◽  
Y. Lavner ◽  
S. Mahmood ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Volatile Organic Compounds ◽  
Early Detection ◽  
Organic Compounds ◽  
Volatile Organic

scholarly journals Early detection and follow‐up of colorectal neoplasia based on faecal volatile organic compounds

2020 ◽  
Vol 22 (9) ◽  
pp. 1119-1129 ◽  
Author(s):  
S. Bosch ◽  
R. Bot ◽  
A. Wicaksono ◽  
E. Savelkoul ◽  
R. Hulst ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Early Detection ◽  
Organic Compounds ◽  
Colorectal Neoplasia ◽  
Volatile Organic

scholarly journals Breath Analysis for Early Detection of Malignant Pleural Mesothelioma: Volatile Organic Compounds (VOCs) Determination and Possible Biochemical Pathways

Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1262 ◽  
Author(s):  
Alessia Di Gilio ◽  
Annamaria Catino ◽  
Angela Lombardi ◽  
Jolanda Palmisani ◽  
Laura Facchini ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Early Detection ◽  
Organic Compounds ◽  
Malignant Pleural Mesothelioma ◽  
Breath Analysis ◽  
Machine Learning Algorithms ◽  
Diagnostic Methods ◽  
Pleural Mesothelioma ◽  
Healthy Controls ◽  
Volatile Organic

Malignant pleural mesothelioma (MPM) is a rare neoplasm, mainly caused by asbestos exposure, with a high mortality rate. The management of patients with MPM is controversial due to a long latency period between exposure and diagnosis and because of non-specific symptoms generally appearing at advanced stage of the disease. Breath analysis, aimed at the identification of diagnostic Volatile Organic Compounds (VOCs) pattern in exhaled breath, is believed to improve early detection of MPM. Therefore, in this study, breath samples from 14 MPM patients and 20 healthy controls (HC) were collected and analyzed by Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC/MS). Nonparametric test allowed to identify the most weighting variables to discriminate between MPM and HC breath samples and multivariate statistics were applied. Considering that MPM is an aggressive neoplasm leading to a late diagnosis and thus the recruitment of patients is very difficult, a promising data mining approach was developed and validated in order to discriminate between MPM patients and healthy controls, even if no large population data are available. Three different machine learning algorithms were applied to perform the classification task with a leave-one-out cross-validation approach, leading to remarkable results (Area Under Curve AUC = 93%). Ten VOCs, such as ketones, alkanes and methylate derivates, as well as hydrocarbons, were able to discriminate between MPM patients and healthy controls and for each compound which resulted diagnostic for MPM, the metabolic pathway was studied in order to identify the link between VOC and the neoplasm. Moreover, five breath samples from asymptomatic asbestos-exposed persons (AEx) were exploratively analyzed, processed and tested by the validated statistical method as blinded samples in order to evaluate the performance for the early recognition of patients affected by MPM among asbestos-exposed persons. Good agreement was found between the information obtained by gold-standard diagnostic methods such as computed tomography CT and model output.

Early Detection of Necrotizing Enterocolitis by Fecal Volatile Organic Compounds Analysis

2015 ◽  
Vol 167 (3) ◽  
pp. 562-567.e1 ◽  
Author(s):  
Tim G.J. de Meij ◽  
Marc P.C. van der Schee ◽  
Daan J.C. Berkhout ◽  
Mirjam E. van de Velde ◽  
Anna E. Jansen ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Early Detection ◽  
Organic Compounds ◽  
Necrotizing Enterocolitis ◽  
Volatile Organic

scholarly journals Advances in the Early Detection of Lung Cancer using Analysis of Volatile Organic Compounds: From Imaging to Sensors

2014 ◽  
Vol 15 (11) ◽  
pp. 4377-4384 ◽  
Author(s):  
Wang Li ◽  
Hong-Ying Liu ◽  
Zi-Ru Jia ◽  
Pan-Pan Qiao ◽  
Xi-Tian Pi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Volatile Organic Compounds ◽  
Early Detection ◽  
Organic Compounds ◽  
Volatile Organic

Fecal volatile organic compounds for early detection of colorectal cancer: where are we now?

2018 ◽  
Vol 145 (1) ◽  
pp. 223-234 ◽  
Author(s):  
Sofie Bosch ◽  
Daniel J. Berkhout ◽  
Ilhame Ben Larbi ◽  
Tim G. de Meij ◽  
Nanne K. de Boer
Keyword(s):  
Colorectal Cancer ◽  
Volatile Organic Compounds ◽  
Early Detection ◽  
Organic Compounds ◽  
Volatile Organic

Calculated indices of volatile organic compounds (VOCs) in exhalation for lung cancer screening and early detection

Lung Cancer ◽  
2021 ◽  
Vol 154 ◽  
pp. 197-205
Author(s):  
Xing Chen ◽  
Kanhar Ghulam Muhammad ◽  
Channa Madeeha ◽  
Wei Fu ◽  
Linxin Xu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Volatile Organic Compounds ◽  
Early Detection ◽  
Organic Compounds ◽  
Lung Cancer Screening ◽  
Volatile Organic
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