DocumentCode :
2398792
Title :
Imaging mass spectrometry analysis for follicular lymphoma grading
Author :
Samsi, S.S. ; Krishnamurthy, A.K. ; Reid Groseclose, M. ; Caprioli, R.M. ; Lozanski, G. ; Gurcan, M.N.
Author_Institution :
Ohio Supercomput. Center, OH, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
6969
Lastpage :
6972
Abstract :
Follicular lymphoma (FL) is the second most common non-Hodgkins lymphoma in the United States. While the current diagnosis depends heavily on the review of H&E-stained tissues, additional sources of information such as IHC are occasionally needed. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) can be used to generate protein profiles from localized tissue regions, thus making it possible to relate changes in tissue histology to the changes in the protein signature of the tissue. It may be possible to determine potential biomarkers that can indicate disease state and prognosis based on the protein profile. This research aims to combine two different but related types of data in order to develop a unique diagnosis methodology that can potentially improve the accuracy of diagnosis. Preliminary analysis has shown promising results for distinguishing intrafollicle regions from the mantle and follicle zones in normal tissue.
Keywords :
cancer; image classification; mass spectroscopic chemical analysis; medical image processing; molecular biophysics; proteins; tumours; H&E-stained tissue; MALDI-MS; United States; biomarkers; computer-aided image analysis; diagnosis methodology; disease classification; disease prognosis; follicular lymphoma grading; imaging mass spectrometry analysis; intrafollicle region; matrix-assisted laser desorption/ionization mass spectrometry; nonHodgkins lymphoma; protein profile; protein signature; tissue histology; Biomarkers; Biomedical imaging; Diseases; Image analysis; Information resources; Mass spectroscopy; Medical diagnostic imaging; Proteins; Supercomputers; USA Councils; Biomedical Engineering; Humans; Image Interpretation, Computer-Assisted; Lymphoma, Follicular; Protein Array Analysis; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Staining and Labeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Type :
conf
DOI :
10.1109/IEMBS.2009.5333850
Filename :
5333850
Link To Document :
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