NDLI: Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI

Content Provider	IEEE Xplore Digital Library
Author	Luts, J. Suykens, J.A.K. Van Huffel, S. Laudadio, T. Van Cauter, S. Himmelreich, U. Molla, E. Piquer, J. Martinez-Bisbal, M.C. Celda, B.
Copyright Year	2009
Description	Author affiliation: University of Valencia, Department of Physical Chemistry, CIBER-BBN, ISC-III, Valencia, Spain, C/Dr Moliner, 50, Burjassot, 46100 Valencia, Spain (Martinez-Bisbal, M.C.; Celda, B.) \|\| Istituto Applicazioni Calcolo, CNR, sez. Bari, via G. Amendola 122/D, I-70126 Bari, Italy (Laudadio, T.) \|\| Hospital de La Ribera, Neurosurgery Service, Carretero Alzira-Corbera, Km 1, Alzira 46600 Valencia, Spain (Piquer, J.) \|\| Hospital de La Ribera, Radiology Service, Carretero Alzira-Corbera, Km 1, Alzira 46600 Valencia, Spain (Molla, E.) \|\| Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT), Research Division SCD, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium (Luts, J.; Suykens, J.A.K.; Van Huffel, S.) \|\| Katholieke Universiteit Leuven, University Hospitals, Radiology Section, Herestraat 49, B-3000 Leuven, Belgium (Van Cauter, S.; Himmelreich, U.)
Abstract	Brain metastases and glioblastoma multiforme are the most aggressive and common brain tumours in adults and they require a different clinical management. Anatomical magnetic resonance imaging (MRI) or clinical history, cannot always clearly distinguish between them. This study describes and verifies the use of magnetic resonance spectroscopy (MRS) and magnetic resonance spectroscopic imaging (MRSI) in combination with MRI for differential diagnosis of glioblastomas and metastases. Feature selection methods are applied to the magnetic resonance (MR) spectra of 121 patients and relevant features are detected. Different classification methods are used to distinguish glioblastoma multiforme and metastasis based on the single-voxel MR spectra, but no reliable differentiation is obtained: the accuracy varies from 50 to 78%. Next, MRSI and MRI data from 10 patients (5 glioblastomas, 5 solitary metastases) are used for differentiation purposes. The combination of multivoxel MR data and MRI data suggests a more clear differentiation between glioblastoma multiforme and brain metastasis. The results are visualized based on nosologic images, which are generated by including spectroscopic information in the segmented MR image. The methodology offers a new way that may support clinicians in decision making.
Starting Page	1
Ending Page	8
File Size	763135
Page Count	8
File Format	PDF
ISBN	9781424448791
ISSN	10637125
DOI	10.1109/CBMS.2009.5255249
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Metastasis Magnetic resonance imaging Magnetic resonance Spectroscopy Tumors History Computer vision Data visualization Image generation Image segmentation
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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