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Apparent Diffusion Coefficient Histogram Metrics Correlate with Survival in Diffuse Intrinsic Pontine Glioma: a Report from the Pediatric Brain Tumor Consortium

Overview
Journal Neuro Oncol
Specialties Neurology
Oncology
Date 2015 Oct 22
PMID 26487690
Citations 40
Authors
Affiliations
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Abstract

Background: Diffuse intrinsic pontine glioma (DIPG) is associated with poor survival regardless of therapy. We used volumetric apparent diffusion coefficient (ADC) histogram metrics to determine associations with progression-free survival (PFS) and overall survival (OS) at baseline and after radiation therapy (RT).

Methods: Baseline and post-RT quantitative ADC histograms were generated from fluid-attenuated inversion recovery (FLAIR) images and enhancement regions of interest. Metrics assessed included number of peaks (ie, unimodal or bimodal), mean and median ADC, standard deviation, mode, skewness, and kurtosis.

Results: Based on FLAIR images, the majority of tumors had unimodal peaks with significantly shorter average survival. Pre-RT FLAIR mean, mode, and median values were significantly associated with decreased risk of progression; higher pre-RT ADC values had longer PFS on average. Pre-RT FLAIR skewness and standard deviation were significantly associated with increased risk of progression; higher pre-RT FLAIR skewness and standard deviation had shorter PFS. Nonenhancing tumors at baseline showed higher ADC FLAIR mean values, lower kurtosis, and higher PFS. For enhancing tumors at baseline, bimodal enhancement histograms had much worse PFS and OS than unimodal cases and significantly lower mean peak values. Enhancement in tumors only after RT led to significantly shorter PFS and OS than in patients with baseline or no baseline enhancement.

Conclusions: ADC histogram metrics in DIPG demonstrate significant correlations between diffusion metrics and survival, with lower diffusion values (increased cellularity), increased skewness, and enhancement associated with shorter survival, requiring future investigations in large DIPG clinical trials.

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References
1.
Rodriguez Gutierrez D, Awwad A, Meijer L, Manita M, Jaspan T, Dineen R . Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors. AJNR Am J Neuroradiol. 2013; 35(5):1009-15. PMC: 7964560. DOI: 10.3174/ajnr.A3784. View

2.
Mulkern R, Ricci K, Vajapeyam S, Chenevert T, Malyarenko D, Kocak M . Pediatric brain tumor consortium multisite assessment of apparent diffusion coefficient z-axis variation assessed with an ice-water phantom. Acad Radiol. 2014; 22(3):363-9. PMC: 4323850. DOI: 10.1016/j.acra.2014.10.006. View

3.
Zukotynski K, Fahey F, Kocak M, Alavi A, Wong T, Treves S . Evaluation of 18F-FDG PET and MRI associations in pediatric diffuse intrinsic brain stem glioma: a report from the Pediatric Brain Tumor Consortium. J Nucl Med. 2011; 52(2):188-95. PMC: 3526809. DOI: 10.2967/jnumed.110.081463. View

4.
Smith R, Zimmerman R, Packer R, Hackney D, Bilaniuk L, Sutton L . Pediatric brainstem glioma. Post-radiation clinical and MR follow-up. Neuroradiology. 1990; 32(4):265-71. DOI: 10.1007/BF00593044. View

5.
Jenkinson M, Beckmann C, Behrens T, Woolrich M, Smith S . FSL. Neuroimage. 2011; 62(2):782-90. DOI: 10.1016/j.neuroimage.2011.09.015. View