Faculty Bibliography

Purpose To identify MR imaging features of melanoma brain metastases (MBM) that correlate with genetic profile of melanoma and patient survival. Materials and methods Patients with newly diagnosed melanoma metastases were identified from institutional database A retrospective review of brain MRI was performed focusing on lesion number, size, T1-, T2- and diffusion-weighted signal characteristics, hemorrhage, necrosis, enhancement pattern and edema. Genomic (BRAF status), treatment and survival data was collected. Results 98 patients were included in final analysis. A strong correlation was found between size of the largest lesion and the percent of lesions with T1-weighted hyperintense signal (R = 0.49), percent of lesions with size >1 cm (0.55), and the lesions that are clearly hemorrhagic (0.43). The analyzed imaging parameters were found to be independent of BRAF mutation status. The median survival of subjects with single lesion (9.1 months) was significantly higher than the median survival of subjects with more than 1 lesion (4.9 months) (p = 0.002). Patients with 2-18 lesions had significantly longer survival (5.6 months) than with >18 lesions (2 months) (p < 0.001). Other imaging parameters such as lesion size, T1-weighted hyperintensity, number of lesions with edema and hemorrhage were not found to be significantly related to survival. BRAF inhibitor treatment was found to be the most significant prognostic factor (p = 0.002) among patients with multiple lesions. Conclusion There is a statistically significant correlation between number of brain metastases and survival. In patients with multiple lesions, BRAF inhibitor treatment was the most significant prognostic factor.

Perfusion imaging is a method for assessing the flow of blood occurring at the tissue level and can be accomplished by both CT and MR perfusion techniques. The use of perfusion imaging has increased substantially in the past decade, particularly in neuro-oncologic imaging, where it is has been used for brain tumor grading and directing biopsies or targeted therapy, as well as for the evaluation of treatment response and disease progression. This article discusses the basic principles and techniques of perfusion imaging, as well as its applications in neuro-oncology.

INTRODUCTION: Optic gliomas are classified as pilocytic astrocytoma (PA) or pilomyxoid astrocytoma (PMXA). Abundant bluish chondroid myxoid matrix is characteristic of PMXA but not PA. We sought to investigate the molecular composition of myxoid matrix and its biologic role in angiogenesis of optic gliomas. We reviewed clinical and pathological data on a cohort of 120 patients with optic glioma diagnosed at NYU Langone Medical Center from 1996 to 2014. We analyzed microvascular density (MVD), perfusion, hypoxia and proliferation by immunohistochemistry and ultrastructural features by electron microscopy. To identify the composition of the myxoid matrix in PMXA we performed liquid chromatography-mass spectrometry (LC-MS) without sample fractionation quantified using peptide spectral counts. PMXA showed significantly lower MVD by CD34 (8.1 vs 14.5, p-value < 0.002) and Erg (7 vs. 13.6, p-value 0.003) than PA, however GLUT-1 showed equal perfusion. Electron microscopy showed that PMXA contain both regular blood vessels with endothelial lining and channels completely lacking endothelial and smooth muscle cells. LC-MS stratified optic gliomas into three distinct groups. We identified 5389 proteins of which 188 were differentially expressed in the three groups (p<0.05, Benjamini-Hochberg adjustment). Between PA and PMXA, we found that most of differentially expressed proteins (146/188) displayed a positive fold change (increasing in PMXA relative to PA), and a minority (42/188) showed a negative fold change. The most abundant extracellular matrix proteins were a chondroitin sulfate proteoglycan versican (VCAN 3.7-fold increase Q=0.000463) and its paralog vertebrate Hyaluronan And Proteoglycan Link Protein 1 (HAPLN1, 22-fold increase from the PA to the PMXA group Q=4.60x10-7). Optic gliomas can develop endothelium-independent channels reminiscent of those in invertebrates to maintain blood supply. The myxoid matrix is composed of VCAN and its linking paralog HAPLN1. Targeting the myxoid matrix may provide novel avenues for therapy of optic gliom

OBJECT Individual MRI characteristics (e.g., volume) are routinely used to identify survival-associated phenotypes for glioblastoma (GBM). This study investigated whether combinations of MRI features can also stratify survival. Furthermore, the molecular differences between phenotype-induced groups were investigated. METHODS Ninety-two patients with imaging, molecular, and survival data from the TCGA (The Cancer Genome Atlas)-GBM collection were included in this study. For combinatorial phenotype analysis, hierarchical clustering was used. Groups were defined based on a cutpoint obtained via tree-based partitioning. Furthermore, differential expression analysis of microRNA (miRNA) and mRNA expression data was performed using GenePattern Suite. Functional analysis of the resulting genes and miRNAs was performed using Ingenuity Pathway Analysis. Pathway analysis was performed using Gene Set Enrichment Analysis. RESULTS Clustering analysis reveals that image-based grouping of the patients is driven by 3 features: volume-class, hemorrhage, and T1/FLAIR-envelope ratio. A combination of these features stratifies survival in a statistically significant manner. A cutpoint analysis yields a significant survival difference in the training set (median survival difference: 12 months, p = 0.004) as well as a validation set (p = 0.0001). Specifically, a low value for any of these 3 features indicates favorable survival characteristics. Differential expression analysis between cutpoint-induced groups suggests that several immune-associated (natural killer cell activity, T-cell lymphocyte differentiation) and metabolism-associated (mitochondrial activity, oxidative phosphorylation) pathways underlie the transition of this phenotype. Integrating data for mRNA and miRNA suggests the roles of several genes regulating proliferation and invasion. CONCLUSIONS A 3-way combination of MRI phenotypes may be capable of stratifying survival in GBM. Examination of molecular processes associated with groups created by this combinatorial phenotype suggests the role of biological processes associated with growth and invasion characteristics.

To evaluate diagnostic accuracy of perfusion weighted imaging (PWI) and positron emission tomography (PET) using an integrated PET/MR system in tumor grading as well as in differentiating recurrent tumor from treatment-induced effects (TIE) in brain tumor patients. Twenty patients (Group A: treatment naive, 9 patients with 16 lesions; Group B: post-therapy, 11 patients with 18 lesions) underwent fluorine 18 (18F) fluorodeoxyglucose (FDG) brain PET/MR with PWI. Two blinded readers predicted low versus high-grade tumor (for Group A) and tumor recurrence versus TIE (for Group B) based solely on tumor rCBV (regional cerebral blood volume) and SUV (standardized uptake values). Tumor histopathology at resection was the reference standard. Using rCBVmean 0.403), Group B (p > 0.06) and in the entire population (p > 0.07). Best overall sensitivity and specificity were obtained using rCBVmean