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Journal of Neuro-Oncology

, Volume 138, Issue 3, pp 619–625 | Cite as

Malignancy probability map as a novel imaging biomarker to predict malignancy distribution: employing MRS in GBM patients

  • Manijeh Beigi
  • Kevan Ghasemi
  • Parvin Mirzaghavami
  • Mohammadreza Khanmohammadi
  • Hamidreza SalighehRad
Clinical Study

Abstract

The main aim of this study was to propose a new statistical method for evaluation of spatial malignancy distribution within Magnetic Resonance Spectroscopy (MRS) grid in Glioblastoma Multiforme patients. Voxels with different malignancy probabilities were presented as a novel MRS-based Malignancy Probability Map (MPM). For this purpose, a predictive probability-based clustering approach was developed, including the two following steps: (1) Gaussian Mixture Model, (2) Quadratic Discriminate Analysis coupled with Genetic Algorithm. Clustered probability values from two methods were then integrated to exploit the MPM. Results show that the suggested method is able to estimate the malignancy distribution with over 90% sensitivity and specificity. The proposed MRS-based MPM has an acceptable accuracy for providing useful complementary information about regional diffuse glioma malignancy, with the potential to lead to better detection of tumoral regions with high probability of malignancy. So, it also may encourage the use of additional information of this map as a tool for dose painting.

Keywords

Glioblastoma multiform Magnetic resonance spectroscopy Gaussian mixture model Genetic algorithm 

Notes

Acknowledgements

This work was fully supported by Tehran University of Medical Science.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Quantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Institute for Advanced Medical ImagingTehran University of Medical SciencesTehranIran
  2. 2.Department of Medical Physics and Biomedical EngineeringTehran University of Medical SciencesTehranIran
  3. 3.Medical Physics Department, Faculty of MedicineIran University of Medical SciencesTehranIran
  4. 4.Chemistry Department, Faculty of ScienceImam Khomeini International UniversityQazvinIran

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