title: Marker-free automated histopathological annotation of lung tumour subtypes by FTIR imaging.
abstract: By integration of FTIR imaging and a novel trained random forest classifier, lung tumour classes and subtypes of adenocarcinoma are identified in fresh-frozen tissue slides automated and marker-free. The tissue slices are collected under standard operation procedures within our consortium and characterized by current gold standards in histopathology. In addition, meta data of the patients are taken. The improved standards on sample collection and characterization results in higher accuracy and reproducibility as compared to former studies and allows here for the first time the identification of adenocarcinoma subtypes by this approach. The differentiation of subtypes is especially important for prognosis and therapeutic decision.
authors.affiliation: Protein Research Unit Ruhr within Europe (PURE), Department of Biophysics, Ruhr University Bochum, Germany. gerwert@bph.rub.de.
authors.forename: Frederik
authors.initials: F
authors.lastname: Großerueschkamp
authors.forename: Angela
authors.initials: A
authors.lastname: Kallenbach-Thieltges
authors.forename: Thomas
authors.initials: T
authors.lastname: Behrens
authors.forename: Thomas
authors.initials: T
authors.lastname: Brüning
authors.forename: Matthias
authors.initials: M
authors.lastname: Altmayer
authors.forename: Georgios
authors.initials: G
authors.lastname: Stamatis
authors.forename: Dirk
authors.initials: D
authors.lastname: Theegarten
authors.forename: Klaus
authors.initials: K
authors.lastname: Gerwert
mesh_terms: D000230:Adenocarcinoma / Q000145:classification / Q000473:pathology; D001331:Automation; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000145:classification* / Q000473:pathology; D008297:Male; D061848:Optical Imaging; D015203:Reproducibility of Results; D017550:Spectroscopy, Fourier Transform Infrared