Contrast Leakage Patterns from Dynamic Susceptibility Contrast Perfusion MRI in the Grading of Primary Pediatric Brain Tumors

Ho, Chang Yueh; Cardinal, Jeremy S.; Kamer, Aaron; Lin, Chen; Kralik, Stephen F.

doi:10.3174/ajnr.a4559

Cited by 26 publications

(13 citation statements)

References 25 publications

(45 reference statements)

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“…While DSC and arterial spin-labeling perfusion metrics have been reported for pediatric brain tumor grading, [21][22][23] there are fewer studies using DCE-MR imaging. 6 Our results show that among the DCE-MR imaging parameters, K trans , K ep , and v e all successfully distinguished low-and high-grade tumors, and this result is consistent with our report from a smaller cohort.…”

Section: Discussionmentioning

confidence: 99%

Multiparametric Analysis of Permeability and ADC Histogram Metrics for Classification of Pediatric Brain Tumors by Tumor Grade

Vajapeyam

Brown²,

Johnston³

et al. 2018

AJNR Am J Neuroradiol

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Section: Discussionmentioning

confidence: 99%

Multiparametric Analysis of Permeability and ADC Histogram Metrics for Classification of Pediatric Brain Tumors by Tumor Grade

Vajapeyam

Brown²,

Johnston³

et al. 2018

AJNR Am J Neuroradiol

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“…In addition to restricted diffusion (ADC ~0.6 3 10 −3 mm 2 /sec), dynamic susceptibility contrast (DSC) perfusion imaging of AT/RTs shows a "return to baseline" pattern, without a T1-or T2*-dominant contrast material leakage pattern. Spectroscopy shows an aggressive metabolite pattern, with elevated choline, lipid, and lactate peaks (69)(70)(71).…”

Section: Atypical Teratoid/rhabdoid Tumormentioning

confidence: 99%

Embryonal Tumors of the Central Nervous System: From the Radiologic Pathology Archives

Shih

Koeller

2018

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Embryonal tumors of the central nervous system (CNS) are highly malignant undifferentiated or poorly differentiated tumors of neuroepithelial origin and have been defined as a category in the World Health Organization (WHO) classification since the first edition of the "Blue Book" in 1979. This category has evolved over time to reflect our ever-improving understanding of tumor biology and behavior. With the most recent update in 2016, many previous histologic diagnoses incorporate molecular parameters for the first time (genetically defined entities). While medulloblastoma and atypical teratoid/rhabdoid tumor are familiar carryovers from the 2007 CNS WHO classification, there are major changes to the embryonal tumor category: for example, elimination of the term CNS primitive neuroectodermal tumor and addition of a new genetically defined entity, embryonal tumor with multilayered rosettes, C19MC-altered. The purpose of this article is to discuss both the radiologic-pathologic features of CNS embryonal tumors and the new molecularly defined types/subtypes that will become the standard classification/terminology for future diagnoses and tumor research.

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“…5) requires appropriate correction, such as small preload dose (0.025–0.05 mmoL/kg) of a gadolinium contrast agent or posthoc leakage-correction algorithms, to obtain correct perfusion values from DSC imaging (727). Ho et al (33) reported that time-intensity curves of DSC imaging could be categorized into T1-dominant leakage pattern (n = 25), T2 * -dominant leakage pattern (n = 15), and return to baseline (n = 23; ± 10% range) in 63 pediatric brain tumors. They also reported that T1-dominant leakage pattern was highly specific for a low-grade tumor, such as pilocytic or pilomyxoid astrocytoma.…”

Section: Perfusion Imagingmentioning

confidence: 99%

Advanced MRI for Pediatric Brain Tumors with Emphasis on Clinical Benefits

Goo

2017

Korean J Radiol

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Conventional anatomic brain MRI is often limited in evaluating pediatric brain tumors, the most common solid tumors and a leading cause of death in children. Advanced brain MRI techniques have great potential to improve diagnostic performance in children with brain tumors and overcome diagnostic pitfalls resulting from diverse tumor pathologies as well as nonspecific or overlapped imaging findings. Advanced MRI techniques used for evaluating pediatric brain tumors include diffusion-weighted imaging, diffusion tensor imaging, functional MRI, perfusion imaging, spectroscopy, susceptibility-weighted imaging, and chemical exchange saturation transfer imaging. Because pediatric brain tumors differ from adult counterparts in various aspects, MRI protocols should be designed to achieve maximal clinical benefits in pediatric brain tumors. In this study, we review advanced MRI techniques and interpretation algorithms for pediatric brain tumors.

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Contrast Leakage Patterns from Dynamic Susceptibility Contrast Perfusion MRI in the Grading of Primary Pediatric Brain Tumors

Cited by 26 publications

References 25 publications

Multiparametric Analysis of Permeability and ADC Histogram Metrics for Classification of Pediatric Brain Tumors by Tumor Grade

Multiparametric Analysis of Permeability and ADC Histogram Metrics for Classification of Pediatric Brain Tumors by Tumor Grade

Embryonal Tumors of the Central Nervous System: From the Radiologic Pathology Archives

Advanced MRI for Pediatric Brain Tumors with Emphasis on Clinical Benefits

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