Literature DB >> 27257950

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

Volodia Dangouloff-Ros1, Christophe Deroulers1, Frantz Foissac1, Mathilde Badoual1, Eimad Shotar1, David Grévent1, Raphael Calmon1, Mélanie Pagès1, Jacques Grill1, Christelle Dufour1, Thomas Blauwblomme1, Stéphanie Puget1, Michel Zerah1, Christian Sainte-Rose1, Francis Brunelle1, Pascale Varlet1, Nathalie Boddaert1.   

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.

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Year:  2016        PMID: 27257950     DOI: 10.1148/radiol.2016152228

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  25 in total

1.  Comparative study of pulsed-continuous arterial spin labeling and dynamic susceptibility contrast imaging by histogram analysis in evaluation of glial tumors.

Authors:  Atsuko Arisawa; Yoshiyuki Watanabe; Hisashi Tanaka; Hiroto Takahashi; Chisato Matsuo; Takuya Fujiwara; Masahiro Fujiwara; Yasunori Fujimoto; Noriyuki Tomiyama
Journal:  Neuroradiology       Date:  2018-04-29       Impact factor: 2.804

Review 2.  European Society for Paediatric Oncology (SIOPE) MRI guidelines for imaging patients with central nervous system tumours.

Authors:  Shivaram Avula; Andrew Peet; Giovanni Morana; Paul Morgan; Monika Warmuth-Metz; Tim Jaspan
Journal:  Childs Nerv Syst       Date:  2021-05-10       Impact factor: 1.475

3.  Perfusion imaging of brain gliomas using arterial spin labeling: correlation with histopathological vascular density in MRI-guided biopsies.

Authors:  Di Ningning; Pang Haopeng; Dang Xuefei; Cheng Wenna; Ren Yan; Wu Jingsong; Yao Chengjun; Yao Zhenwei; Feng Xiaoyuan
Journal:  Neuroradiology       Date:  2016-12-06       Impact factor: 2.804

Review 4.  Added value of arterial spin labeling magnetic resonance imaging in pediatric neuroradiology: pitfalls and applications.

Authors:  Vera C Keil; Nolan S Hartkamp; Daniel J A Connolly; Giovanni Morana; Marjolein H G Dremmen; Henk J M M Mutsaerts; Maarten H Lequin
Journal:  Pediatr Radiol       Date:  2018-11-17

5.  Grading and outcome prediction of pediatric diffuse astrocytic tumors with diffusion and arterial spin labeling perfusion MRI in comparison with 18F-DOPA PET.

Authors:  Giovanni Morana; Arnoldo Piccardo; Domenico Tortora; Matteo Puntoni; Mariasavina Severino; Paolo Nozza; Marcello Ravegnani; Alessandro Consales; Samantha Mascelli; Alessandro Raso; Manlio Cabria; Antonio Verrico; Claudia Milanaccio; Andrea Rossi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-07-27       Impact factor: 9.236

6.  CT and Multimodal MR Imaging Features of Embryonal Tumors with Multilayered Rosettes in Children.

Authors:  V Dangouloff-Ros; A Tauziède-Espariat; C-J Roux; R Levy; D Grévent; F Brunelle; A Gareton; S Puget; K Beccaria; T Blauwblomme; J Grill; C Dufour; P Varlet; N Boddaert
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-07       Impact factor: 3.825

7.  Advanced MR imaging and 18F-DOPA PET characteristics of H3K27M-mutant and wild-type pediatric diffuse midline gliomas.

Authors:  Arnoldo Piccardo; Domenico Tortora; Samantha Mascelli; Mariasavina Severino; Gianluca Piatelli; Alessandro Consales; Marco Pescetto; Veronica Biassoni; Elisabetta Schiavello; Michela Massollo; Antonio Verrico; Claudia Milanaccio; Maria Luisa Garrè; Andrea Rossi; Giovanni Morana
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-04-27       Impact factor: 9.236

8.  Correlation between arterial spin-labeling perfusion and histopathological vascular density of pediatric intracranial tumors.

Authors:  Kazufumi Kikuchi; Akio Hiwatashi; Osamu Togao; Koji Yamashita; Koji Yoshimoto; Masahiro Mizoguchi; Satoshi O Suzuki; Toru Iwaki; Yuriko Suzuki; Hiroshi Honda
Journal:  J Neurooncol       Date:  2017-08-30       Impact factor: 4.130

9.  Application of arterial spin labeling perfusion MRI to differentiate benign from malignant intracranial meningiomas.

Authors:  Xin J Qiao; Hyun Grace Kim; Danny J J Wang; Noriko Salamon; Michael Linetsky; Ali Sepahdari; Benjamin M Ellingson; Whitney B Pope
Journal:  Eur J Radiol       Date:  2017-10-07       Impact factor: 3.528

10.  Pediatric astrocytic tumor grading: comparison between arterial spin labeling and dynamic susceptibility contrast MRI perfusion.

Authors:  Giovanni Morana; Domenico Tortora; Serena Staglianò; Paolo Nozza; Samantha Mascelli; Mariasavina Severino; Gianluca Piatelli; Alessandro Consales; Maarten Lequin; Maria Luisa Garrè; Andrea Rossi
Journal:  Neuroradiology       Date:  2018-02-16       Impact factor: 2.804

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