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Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study.

Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study.

Authors :
Ungan G
Pons-Escoda A
Ulinic D
Arús C
Vellido A
Julià-Sapé M
Source :
Cancers [Cancers (Basel)] 2023 Jul 21; Vol. 15 (14). Date of Electronic Publication: 2023 Jul 21.
Publication Year :
2023

Abstract

In vivo magnetic resonance spectroscopy (MRS) has two modalities, single-voxel (SV) and multivoxel (MV), in which one or more contiguous grids of SVs are acquired.<br />Purpose: To test whether MV grids can be classified with models trained with SV.<br />Methods: Retrospective study. Training dataset: Multicenter multiformat SV INTERPRET, 1.5T. Testing dataset: MV eTumour, 3T. Two classification tasks were completed: 3-class (meningioma vs. aggressive vs. normal) and 4-class (meningioma vs. low-grade glioma vs. aggressive vs. normal). Five different methods were tested for feature selection. The classification was implemented using linear discriminant analysis (LDA), random forest, and support vector machines. The evaluation was completed with balanced error rate (BER) and area under the curve (AUC) on both sets. The accuracy in class prediction was calculated by developing a solid tumor index (STI) and segmentation accuracy with the Dice score.<br />Results: The best method was sequential forward feature selection combined with LDA, with AUCs = 0.95 (meningioma), 0.89 (aggressive), 0.82 (low-grade glioma), and 0.82 (normal). STI was 66% (4-class task) and 71% (3-class task) because two cases failed completely and two more had suboptimal STI as defined by us.<br />Discussion: The reasons for failure in the classification of the MV test set were related to the presence of artifacts.

Details

Language :
English
ISSN :
2072-6694
Volume :
15
Issue :
14
Database :
MEDLINE
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
37509372
Full Text :
https://doi.org/10.3390/cancers15143709