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Patricia Svolos
Researcher at University of Thessaly
Publications - 15
Citations - 458
Patricia Svolos is an academic researcher from University of Thessaly. The author has contributed to research in topics: Diffusion MRI & Magnetic resonance imaging. The author has an hindex of 9, co-authored 15 publications receiving 390 citations.
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Journal ArticleDOI
Differentiation of glioblastoma multiforme from metastatic brain tumor using proton magnetic resonance spectroscopy, diffusion and perfusion metrics at 3 T
Ioannis Tsougos,Patricia Svolos,Evanthia Kousi,Konstantinos Fountas,Kyriaki Theodorou,Ioannis Fezoulidis,Eftychia Z. Kapsalaki +6 more
TL;DR: 1H-MRS and dynamic susceptibility measurements in the peritumoral regions may definitely aid in the differentiation of glioblastomas and solitary metastases and the quantification of the diffusion properties in the intratumoral region is independent of the ROI size.
Journal ArticleDOI
The role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectives
Patricia Svolos,Evanthia Kousi,Eftychia Z. Kapsalaki,Kyriaki Theodorou,Ioannis Fezoulidis,Constantin Kappas,Ioannis Tsougos +6 more
TL;DR: The present work reviews physical principles and recent results obtained using DWI/DTI and DSCI, in tumor characterization and grading of the most common cerebral neoplasms, and discusses how the available MR quantitative data can be utilized through advanced methods of analysis, in order to optimize clinical decision making.
Journal ArticleDOI
Investigating brain tumor differentiation with diffusion and perfusion metrics at 3T MRI using pattern recognition techniques
Patricia Svolos,Evangelia Tsolaki,Eftychia Z. Kapsalaki,Kyriaki Theodorou,Kostas N. Fountas,Ioannis Fezoulidis,Ioannis Tsougos +6 more
TL;DR: In conclusion, machine learning techniques may be used as an adjunctive diagnostic tool, which can be implemented into the clinical routine to optimize decision making.
Journal ArticleDOI
The contribution of diffusion tensor imaging and magnetic resonance spectroscopy for the differentiation of breast lesions at 3T.
Ioannis Tsougos,Patricia Svolos,Evanthia Kousi,Evangelos Athanassiou,Kiriaki Theodorou,Dimitrios L. Arvanitis,Ioannis Fezoulidis,Katerina Vassiou +7 more
TL;DR: Applying DTI and 1H-MRS together, adds incremental diagnostic value in the characterization of breast lesions and may sufficiently improve the low specificity of conventional breast MRI.
Journal ArticleDOI
Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data.
Evangelia Tsolaki,Patricia Svolos,Evanthia Kousi,Eftychia E. Kapsalaki,Konstantinos Fountas,Kyriaki Theodorou,Ioannis Tsougos +6 more
TL;DR: The application of pattern recognition techniques using 3T MR-based perfusion and metabolic features may provide incremental diagnostic value in the differentiation of common intraaxial brain tumors, such as glioblastoma versus metastasis.