scholarly journals IMS2 – An integrated medical software system for early lung cancer detection using ion mobility spectrometry data of human breath

2007 ◽  
Vol 4 (3) ◽  
pp. 186-197 ◽  
Author(s):  
Jan Baumbach ◽  
Alexander Bunkowski ◽  
Sita Lange ◽  
Timm Oberwahrenbrock ◽  
Nils Kleinbölting ◽  
...  

Abstract IMS2 is an Integrated Medical Software system for the analysis of Ion Mobility Spectrometry (IMS) data. It assists medical staff with the following IMS data processing steps: acquisition, visualization, classification, and annotation. IMS2 provides data analysis and interpretation features on the one hand, and also helps to improve the classification by increasing the number of the pre-classified datasets on the other hand. It is designed to facilitate early detection of lung cancer, one of the most common cancer types with one million deaths each year around the world.After reviewing the IMS technology, we first describe the software architecture of IMS2 and then the integrated classification module, including necessary pre-processing steps and different classification methods. The Lung Hospital Hemer (Germany) provided IMS data of 35 patients suffering from lung cancer and 72 samples of healthy persons. IMS2 correctly classifies 99% of the samples, evaluated using 10-fold cross-validation.

PLoS ONE ◽  
2014 ◽  
Vol 9 (12) ◽  
pp. e114555 ◽  
Author(s):  
Hiroshi Handa ◽  
Ayano Usuba ◽  
Sasidhar Maddula ◽  
Jörg Ingo Baumbach ◽  
Masamichi Mineshita ◽  
...  

CHEST Journal ◽  
2005 ◽  
Vol 128 (4) ◽  
pp. 155S ◽  
Author(s):  
Michael Westhoff ◽  
Patrick Litterst ◽  
Lutz Freitag ◽  
Vera Ruzsanyi ◽  
Sabine Bader ◽  
...  

Foods ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 460
Author(s):  
Carolin Schmidt ◽  
Doris Jaros ◽  
Harald Rohm

Chocolate has a complex flavor profile composed of more than 600 volatile compounds that mainly arise from the thermo-mechanical treatment during roasting and conching. The aim of this study was to evaluate the applicability of ion mobility spectrometry (IMS), as a real-time method for process monitoring in chocolate manufacture. It is evident from the ion mobility (IM) fingerprint spectra that individual processing steps affect the signal intensities at particular drift time regions. The analysis of individual IM spectra by principal component analysis (PCA) revealed that it is possible to distinguish with respect to conching temperature and time. PCA also allowed identifying those parts of the IM spectra that were predominantly affected by the respective treatment. It was, on the basis of the IM flavor fingerprints and subsequent PCA, possible to distinguish between the different states of processing of bulk cocoa. The results of the study imply that, using appropriate post-data treatment, IMS could be used for process control in cocoa processing.


Author(s):  
Emma Brodrick ◽  
Antony Davies ◽  
Paul Neill ◽  
Louise Hanna ◽  
E. Williams

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