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


Por: Oltra-Sastre, M, Fuster-Garcia, E, Juan-Albarracin, J, Saez, C, Perez-Girbes, A, Sanz-Requena, R, Revert-Ventura, A, Mocholi, A, Urchueguia, J, Hervas, A, Reynes, G, Font-de-Mora, J, Munoz-Langa, J, Botella, C, Aparici, F, Marti-Bonmati, L and Garcia-Gomez, J

Publicada: 1 ene 2019
Resumen:
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.

Filiaciones:
Oltra-Sastre, M:
 Univ Politecn Valencia, Inst Aplicac Tecnol Informaciony Comunicac Avanza, Camino Vera S-N, E-46022 Valencia, Spain

Fuster-Garcia, E:
 Univ Politecn Valencia, Inst Aplicac Tecnol Informaciony Comunicac Avanza, Camino Vera S-N, E-46022 Valencia, Spain

Juan-Albarracin, J:
 Univ Politecn Valencia, Inst Aplicac Tecnol Informaciony Comunicac Avanza, Camino Vera S-N, E-46022 Valencia, Spain

Saez, C:
 Univ Politecn Valencia, Inst Aplicac Tecnol Informaciony Comunicac Avanza, Camino Vera S-N, E-46022 Valencia, Spain

Perez-Girbes, A:
 Hosp Fe, GIBI230 Grp Invest Biomed Imagen, IIS, Valencia, Spain

Sanz-Requena, R:
 Hosp Quironsalud Valencia, Dept Radiol, Valencia, Spain

Revert-Ventura, A:
 Hosp Manises, Dept Radiol, Valencia, Spain

Mocholi, A:
 Univ Politecn Valencia, Inst Aplicac Tecnol Informaciony Comunicac Avanza, Camino Vera S-N, E-46022 Valencia, Spain

Urchueguia, J:
 Univ Politecn Valencia, Inst Aplicac Tecnol Informaciony Comunicac Avanza, Camino Vera S-N, E-46022 Valencia, Spain

Hervas, A:
 Univ Politecn Valencia, IMM, Valencia, Spain

Reynes, G:
 Hosp Fe, IIS, Grp Invest Clin & Traslac Canc, Valencia, Spain

Font-de-Mora, J:
 Hosp Fe, IIS, Grp Invest Clin & Traslac Canc, Valencia, Spain

:
 Hosp Fe, GIBI230 Grp Invest Biomed Imagen, IIS, Valencia, Spain

Botella, C:
 Hosp Fe, GIBI230 Grp Invest Biomed Imagen, IIS, Valencia, Spain

Aparici, F:
 Hosp Fe, GIBI230 Grp Invest Biomed Imagen, IIS, Valencia, Spain

Marti-Bonmati, L:
 Hosp Fe, GIBI230 Grp Invest Biomed Imagen, IIS, Valencia, Spain

 Hosp Quironsalud Valencia, Dept Radiol, Valencia, Spain

Garcia-Gomez, J:
 Univ Politecn Valencia, Inst Aplicac Tecnol Informaciony Comunicac Avanza, Camino Vera S-N, E-46022 Valencia, Spain
ISSN: 15734056





CURRENT MEDICAL IMAGING
Editorial
Bentham Science Publishers, EXECUTIVE STE Y-2, PO BOX 7917, SAIF ZONE, 1200 BR SHARJAH, U ARAB EMIRATES, Países Bajos
Tipo de documento: Review
Volumen: 15 Número: 10
Páginas: 933-947
WOS Id: 000498019400003
ID de PubMed: 32008521
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