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Arterial Spin Labeling to Predict Brain Tumor Grading in Children: Correlations between Histopathologic Vascular Density and Perfusion MR Imaging

Authors :
Francis Brunelle
Thomas Blauwblomme
David Grevent
Christian Sainte-Rose
Pascale Varlet
Stéphanie Puget
Christelle Dufour
Mathilde Badoual
Nathalie Boddaert
Eimad Shotar
Mélanie Pagès
Volodia Dangouloff-Ros
Frantz Foissac
Raphael Calmon
Michel Zerah
Christophe Deroulers
Jacques Grill
Neuroimagerie en psychiatrie (U1000)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Sud - Paris 11 (UP11)
Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC (UMR_8165))
Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Evaluation thérapeutique et pharmacologie périnatale et pédiatrique (EA_7323)
Université Paris Descartes - Paris 5 (UPD5)
Université Paris Descartes - Faculté de Médecine (UPD5 Médecine)
Service de pédiatrie générale [CHU Necker]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Necker - Enfants Malades [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
PRES Sorbonne Paris Cité
Département de cancérologie de l'enfant et de l'adolescent [Gustave Roussy]
Institut Gustave Roussy (IGR)
Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Université Paris-Sud - Paris 11 (UP11)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)
Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Necker - Enfants Malades [AP-HP]
Source :
Radiology, Radiology, Radiological Society of North America, 2016, 281 (2), pp.553-566. ⟨10.1148/radiol.2016152228⟩, Radiology, 2016, 281 (2), pp.553-566. ⟨10.1148/radiol.2016152228⟩
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

Purpose To compare arterial spin labeling (ASL) data between low- and high-grade brain tumors in children to establish a cutoff to distinguish low- from high-grade neoplasms and to assess potential correlations between cerebral blood flow (CBF) and quantitative histologic microvascular data. Materials and Methods Approval was obtained from the regional review board. ASL data obtained in 129 children between 2011 and 2015 were retrospectively analyzed. CBF and relative CBF in the most perfused area of each neoplasm and contrast enhancement were quantified with a semiquantitative ratio. The correlation between CBF and microvascular density was analyzed in specimens stained with anti-CD34. Results were controlled in two validation cohorts with 1.5- and 3.0-T magnetic resonance (MR) imaging. Results Mean CBF was significantly higher for high-grade than for low-grade hemispheric (116 mL/min/100 g [interquartile range {IQR}, 73-131 mL/min/100 g] vs 29 mL/min/100 g [IQR, 23-35 29 mL/min/100 g], P < .001), thalamic (87 mL/min/100 g [IQR, 73-100 mL/min/100 g] vs 36 mL/min/100 g [IQR, 30-40 mL/min/100 g], P = .016), and posterior fossa (59 mL/min/100 g [IQR, 45-91 mL/min/100 g] vs 33 mL/min/100 g [IQR, 25-40 mL/min/100 g], P < .001) tumors. With a cutoff of 50 mL/min/100 g, sensitivity and specificity were 90% (95% confidence interval [CI]: 68, 100) and 93% (95% CI: 66, 100), respectively, for hemispheric tumors; 100% (95% CI: 48, 100) and 80% (95% CI: 28, 100), respectively, for thalamic tumors; and 65% (95% CI: 51, 78) and 94% (95% CI: 80, 99), respectively, for posterior fossa tumors. In posterior fossa tumors, additional use of the CBF-to-contrast enhancement ratio yielded sensitivity and specificity of 96% (95% CI: 87, 100) and 97% (95% CI: 84, 100), respectively. Use of a simple algorithm based on these values yielded an accuracy of 93% (95% CI: 87, 97). Validation sets yielded similar results, with grading accuracy of 88% (95% CI: 62, 98) with 1.5-T MR imaging and 77% (95% CI: 46, 95) with 3.0-T MR imaging. CBF was strongly correlated with microvascular density (R = 0.66, P < .001). Conclusion High-grade pediatric brain tumors display higher CBF than do low-grade tumors, and they may be accurately graded by using these values. CBF is correlated with tumor microvascular density. © RSNA, 2016 Online supplemental material is available for this article.

Details

Language :
English
ISSN :
00338419 and 15271315
Database :
OpenAIRE
Journal :
Radiology, Radiology, Radiological Society of North America, 2016, 281 (2), pp.553-566. ⟨10.1148/radiol.2016152228⟩, Radiology, 2016, 281 (2), pp.553-566. ⟨10.1148/radiol.2016152228⟩
Accession number :
edsair.doi.dedup.....4cf9bb16ee65b737ecdc0a8db3a9f05a