Local detection of microvessels in IDH-wildtype glioblastoma using relative cerebral blood volume: an imaging marker useful for astrocytoma grade 4 classification.

Fecha de publicación: 06/01/2022 Fecha Ahead of Print: 06/01/2022

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

Álvarez-Torres MDM
Fuster-Garcia, Elies
Juan-Albarracin, Javier
Garcia-Gomez, Juan Miguel

Grupos

Investigación Clínica y Traslacional en Cáncer

Leader

José Gómez Codina

Abstract

BACKGROUND: The microvessels area (MVA), derived from microvascular proliferation, is a biomarker useful for high-grade glioma classification. Nevertheless, its measurement is costly, labor-intense, and invasive. Finding radiologic correlations with MVA could provide a complementary non-invasive approach without an extra cost and labor intensity and from the first stage. This study aims to correlate imaging markers, such as relative cerebral blood volume (rCBV), and local MVA in IDH-wildtype glioblastoma, and to propose this imaging marker as useful for astrocytoma grade 4 classification. METHODS: Data from 73 tissue blocks belonging to 17 IDH-wildtype glioblastomas and 7 blocks from 2 IDH-mutant astrocytomas were compiled from the Ivy GAP database. MRI processing and rCBV quantification were carried out using ONCOhabitats methodology. Histologic and MRI co-registration was done manually with experts' supervision, achieving an accuracy of 88.8% of overlay. Spearman's correlation was used to analyze the association between rCBV and microvessel area. Mann-Whitney test was used to study differences of rCBV between blocks with presence or absence of microvessels in IDH-wildtype glioblastoma, as well as to find differences with IDH-mutant astrocytoma samples. RESULTS: Significant positive correlations were found between rCBV and microvessel area in the IDH-wildtype blocks (p < 0.001), as well as significant differences in rCBV were found between blocks with microvascular proliferation and blocks without it (p < 0.0001). In addition, significant differences in rCBV were found between IDH-wildtype glioblastoma and IDH-mutant astrocytoma samples, being 2-2.5 times higher rCBV values in IDH-wildtype glioblastoma samples. CONCLUSIONS: The proposed rCBV marker, calculated from diagnostic MRIs, can detect in IDH-wildtype glioblastoma those regions with microvessels from those without it, and it is significantly correlated with local microvessels area. In addition, the proposed rCBV marker can differentiate the IDH mutation status, providing a complementary non-invasive method for high-grade glioma classification.

Datos de la publicación

ISSN/ISSNe:: 1471-2407, 1471-2407
Tipo:: Article
Páginas:: 40-40
DOI:: 10.1186/s12885-021-09117-4
Factor de Impacto:: 1,134 SCImago ℠
Cuartil:: Q2 SCImago ℠

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Métricas

Filiaciones

Álvarez-Torres MDM:: Universitat Politècnica de València, Biomedical Data Science Laboratory, ITACA, 46022, Valencia, Spain.
Fuster-Garcia, Elies:: Oslo University Hospital, Department of Diagnostic Physics, 0424, Oslo, Norway
Juan-Albarracin, Javier:: Universitat Politècnica de València, Biomedical Data Science Laboratory, ITACA, 46022, Valencia, Spain
Reynes, Gaspar:: Instituto de Investigación. Health Research Institute Hospital La Fe, Department of Medical Oncology, Cancer Research Group, 46026, Valencia, Spain
Aparici-Robles, Fernando:: Instituto de Investigación. Health Research Institute Hospital La Fe, Department of Medical Imaging, 46026, Valencia, Spain
Ferrer-Lozano, Jaime:: Instituto de Investigación. Health Research Institute Hospital La Fe, Department of Pathology, 46026, Valencia, Spain
Garcia-Gomez, Juan Miguel:: Universitat Politècnica de València, Biomedical Data Science Laboratory, ITACA, 46022, Valencia, Spain