Multi-parametric MR Imaging Biomarkers Associated to Clinical Outcomes in Gliomas: A Systematic Review

Autor: Gaspar Reynés, Elies Fuster-Garcia, Jaime Font-de-Mora, José Muñoz-Langa, Juan M. García-Gómez, Alexandre Perez-Girbes, Antonio Revert-Ventura, Luis Martí-Bonmatí, Carlos Botella, Javier Juan-Albarracín, Miquel Oltra-Sastre, Antonio José Jimenez Mocholi, Fernando Aparici, Roberto Sanz-Requena, Carlos Sáez, Javier F. Urchueguía, Antonio Hervás
Rok vydání: 2019
Předmět:
Adult
False discovery rate
Oncology
medicine.medical_specialty
Brain Edema
Fluid-attenuated inversion recovery
030218 nuclear medicine & medical imaging
TECNOLOGIA ELECTRONICA
03 medical and health sciences
Magnetic resonance imaging
0302 clinical medicine
Bias
Image processing
Internal medicine
Glioma
Magnetic resonance spectroscopy
Biomarkers
Tumor
medicine
Humans
Neoplasm Invasiveness
Computer-assisted
Radiology
Nuclear Medicine and imaging
Patient outcome assessment
Multiparametric Magnetic Resonance Imaging
Grading (tumors)
Retrospective Studies
Tumor
Multi parametric
medicine.diagnostic_test
Brain Neoplasms
business.industry
Tumor region
medicine.disease
Magnetic Resonance Imaging
Subependymal
Mr imaging
Tumor Burden
Patient Outcome Assessment
Cross-Sectional Studies
Treatment Outcome
FISICA APLICADA
Neoplasm Recurrence
Local
MATEMATICA APLICADA
business
Biomarkers
030217 neurology & neurosurgery
Zdroj: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
ISSN: 1573-4056
DOI: 10.2174/1573405615666190109100503
Popis: [EN] Purpose: To systematically review evidence regarding the association of multi-parametric biomarkers with clinical outcomes and their capacity to explain relevant subcompartments of gliomas. Materials and Methods: Scopus database was searched for original journal papers from January 1st, 2007 to February 20th , 2017 according to PRISMA. Four hundred forty-nine abstracts of papers were reviewed and scored independently by two out of six authors. Based on those papers we analyzed associations between biomarkers, subcompartments within the tumor lesion, and clinical outcomes. From all the articles analyzed, the twenty-seven papers with the highest scores were highlighted to represent the evidence about MR imaging biomarkers associated with clinical outcomes. Similarly, eighteen studies defining subcompartments within the tumor region were also highlighted to represent the evidence of MR imaging biomarkers. Their reports were critically appraised according to the QUADAS-2 criteria. Results: It has been demonstrated that multi-parametric biomarkers are prepared for surrogating diagnosis, grading, segmentation, overall survival, progression-free survival, recurrence, molecular profiling and response to treatment in gliomas. Quantifications and radiomics features obtained from morphological exams (T1, T2, FLAIR, T1c), PWI (including DSC and DCE), diffusion (DWI, DTI) and chemical shift imaging (CSI) are the preferred MR biomarkers associated to clinical outcomes. Subcompartments relative to the peritumoral region, invasion, infiltration, proliferation, mass effect and pseudo flush, relapse compartments, gross tumor volumes, and high-risk regions have been defined to characterize the heterogeneity. For the majority of pairwise cooccurrences, we found no evidence to assert that observed co-occurrences were significantly different from their expected co-occurrences (Binomial test with False Discovery Rate correction, alpha=0.05). The co-occurrence among terms in the studied papers was found to be driven by their individual prevalence and trends in the literature. Conclusion: Combinations of MR imaging biomarkers from morphological, PWI, DWI and CSI exams have demonstrated their capability to predict clinical outcomes in different management moments of gliomas. Whereas morphologic-derived compartments have been mostly studied during the last ten years, new multi-parametric MRI approaches have also been proposed to discover specific subcompartments of the tumors. MR biomarkers from those subcompartments show the local behavior within the heterogeneous tumor and may quantify the prognosis and response to treatment of gliomas.
This work was supported by the Spanish Ministry for Investigation, Development and Innovation project with identification number DPI2016-80054-R.
Databáze: OpenAIRE
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