2023
DOI: 10.1016/j.chest.2022.09.042
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Diagnosing Non-Small Cell Lung Cancer by Exhaled Breath Profiling Using an Electronic Nose

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Cited by 34 publications
(17 citation statements)
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“…Wang et al found 16 VOCs in a targeted analysis during perioperative exhaled breath analysis in patients with lung cancer with high-pressure photon ionization time-offlight mass spectrometry and validation confirmed good performance [25]. In a multicenter, multi device study including 575 subjects, Kort et al could distinguish patients lung cancer from lung cancer using an electronic nose, with an area under the receiver-operating characteristic curve of 0.86 [26]. Despite decades of research, variability in sample collection, testing conditions, and data analysis significant challenges among these studies to the widespread adoption exhaled breath analysis in clinical settings.…”
Section: Discussionmentioning
confidence: 97%
“…Wang et al found 16 VOCs in a targeted analysis during perioperative exhaled breath analysis in patients with lung cancer with high-pressure photon ionization time-offlight mass spectrometry and validation confirmed good performance [25]. In a multicenter, multi device study including 575 subjects, Kort et al could distinguish patients lung cancer from lung cancer using an electronic nose, with an area under the receiver-operating characteristic curve of 0.86 [26]. Despite decades of research, variability in sample collection, testing conditions, and data analysis significant challenges among these studies to the widespread adoption exhaled breath analysis in clinical settings.…”
Section: Discussionmentioning
confidence: 97%
“…These volatile organic compounds, in certain concentrations and combinations, create a breath fingerprint that could be used to diagnose cancer. The results obtained show a sensitivity of the test of 95%, a specificity of 51% and a negative predictive value of 94% [16]. Also, studies are still ongoing for its use in the diagnosis of colorectal cancer, tuberculosis or other respiratory infections.…”
Section: Screeningmentioning
confidence: 90%
“…In some countries these registers also collect information on workers at risk of exposure and can identify areas of increased risk of exposure where prevention measures can be initiated. Some of these registers are The Finnish Register of Workers Exposed to Carcinogens (ASA Register), the Italian Information System for Recording Occupational Exposures to Carcinogens (SIREP) and the German ODIN Register [16]. In Italy and Germany, there are parallel registers of cancers caused by exposure to asbestos -the National Mesothelioma Registry and the Register of asbestos-exposed workers (GVS).…”
Section: Exposure Registriesmentioning
confidence: 99%
“…Another study by Kort and her colleagues have shown that non-small cell LC (NSCLC) could be differentiated from suspected LC by using different electronic nose device-Aeonose which had a better sensitivity (94.4%) but lower specificity (32.9%) [18]. Recently, the same authors have published a multicenter validation study concluding that by combining exhaled breath data with clinical variables, they could discriminate between NSCLC from non cancer subjects [19]. Marzorati and colleagues have developed an artificial neural networkbased classification tool which could discriminate healthy controls from LC with a sensitivity of 85.7%, specificity of 100%, and accuracy of 93.8% [20].…”
Section: Diagnosis Of Lc Using Enosementioning
confidence: 99%