title: A compressive sensing approach for glioma margin delineation using mass spectrometry.
abstract: Surgery, and specifically, tumor resection, is the primary treatment for most patients suffering from brain tumors. Medical imaging techniques, and in particular, magnetic resonance imaging are currently used in diagnosis as well as image-guided surgery procedures. However, studies show that computed tomography and magnetic resonance imaging fail to accurately identify the full extent of malignant brain tumors and their microscopic infiltration. Mass spectrometry is a well-known analytical technique used to identify molecules in a given sample based on their mass. In a recent study, it is proposed to use mass spectrometry as an intraoperative tool for discriminating tumor and non-tumor tissue. Integration of mass spectrometry with the resection module allows for tumor resection and immediate molecular analysis. In this paper, we propose a framework for tumor margin delineation using compressive sensing. Specifically, we show that the spatial distribution of tumor cell concentration can be efficiently reconstructed and updated using mass spectrometry information from the resected tissue. In addition, our proposed framework is model-free, and hence, requires no prior information of spatial distribution of the tumor cell concentration.
authors.affiliation: Schools of Electrical & Computer and Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. behnood@gatech.edu
authors.forename: Behnood
authors.initials: B
authors.lastname: Gholami
authors.forename: Nathalie Y R
authors.initials: NY
authors.lastname: Agar
authors.forename: Ferenc A
authors.initials: FA
authors.lastname: Jolesz
authors.forename: Wassim M
authors.initials: WM
authors.lastname: Haddad
authors.forename: Allen R
authors.initials: AR
authors.lastname: Tannenbaum
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis*; D001932:Brain Neoplasms / Q000737:chemistry* / Q000175:diagnosis*; D044962:Data Compression / Q000379:methods; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D005910:Glioma / Q000737:chemistry* / Q000175:diagnosis*; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*; D011247:Pregnancy; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D014408:Biomarkers, Tumor