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

Author:

Baumbach Jan12,Bunkowski Alexander1,Lange Sita34,Oberwahrenbrock Timm3,Kleinbölting Nils34,Rahmann Sven3,Baumbach Jörg Ingo5

Affiliation:

1. 1Computational Methods for Emerging Technologies, Genome Informatics, Technische Fakultät, Bielefeld University, 33594, Bielefeld, Germany

2. 2International NRW Graduate School in Bioinformatics and Genome Research, Bielefeld University, Germany

3. 3Computational Methods for Emerging Technologies, Genome Informatics, Technische Fakultät, Bielefeld University, 33594 Bielefeld, Germany

4. 4Bioinformatics Resource Facility, Bielefeld University, Germany

5. 5Department of Metabolomics, ISAS – Institute for Analytical Sciences, Bunsen-Kirchhoff-Str. 11, 44139, Dortmund, Germany

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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