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Dive into the research topics where Julio Arevalo-Perez is active.

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Featured researches published by Julio Arevalo-Perez.


Neuro-oncology | 2016

Integration of 2-hydroxyglutarate-proton magnetic resonance spectroscopy into clinical practice for disease monitoring in isocitrate dehydrogenase-mutant glioma

Mac Arena I De La Fuente; Robert J. Young; Jennifer Rubel; Marc K. Rosenblum; Jamie Tisnado; Samuel Briggs; Julio Arevalo-Perez; Justin R. Cross; Carl Campos; Kimberly Straley; Dongwei Zhu; Chuanhui Dong; Alissa A. Thomas; Antonio Omuro; Craig Nolan; Elena Pentsova; Thomas Kaley; Jung H. Oh; Ralph Noeske; Elizabeth A. Maher; Changho Choi; Philip H. Gutin; Andrei I. Holodny; Katharine Yen; Lisa M. DeAngelis; Ingo K. Mellinghoff; Sunitha B. Thakur

BACKGROUND The majority of WHO grades II and III gliomas harbor a missense mutation in the metabolic gene isocitrate dehydrogenase (IDH) and accumulate the metabolite R-2-hydroxyglutarate (R-2HG). Prior studies showed that this metabolite can be detected in vivo using proton magnetic-resonance spectroscopy (MRS), but the sensitivity of this methodology and its clinical implications are unknown. METHODS We developed an MR imaging protocol to integrate 2HG-MRS into routine clinical glioma imaging and examined its performance in 89 consecutive glioma patients. RESULTS Detection of 2-hydroxyglutarate (2HG) in IDH-mutant gliomas was closely linked to tumor volume, with sensitivity ranging from 8% for small tumors (<3.4 mL) to 91% for larger tumors (>8 mL). In patients undergoing 2HG-MRS prior to surgery, tumor levels of 2HG corresponded with tumor cellularity but not with tumor grade or mitotic index. Cytoreductive therapy resulted in a gradual decrease in 2HG levels with kinetics that closely mirrored changes in tumor volume. CONCLUSIONS Our study demonstrates that 2HG-MRS can be linked with routine MR imaging to provide quantitative measurements of 2HG in glioma and may be useful as an imaging biomarker to monitor the abundance of IDH-mutant tumor cells noninvasively during glioma therapy and disease monitoring.


Journal of Neuroimaging | 2015

Dynamic Contrast-Enhanced Perfusion MRI and Diffusion-Weighted Imaging in Grading of Gliomas

Julio Arevalo-Perez; Kyung K. Peck; Robert J. Young; Andrei I. Holodny; Sasan Karimi; John K. Lyo

Accurate glioma grading is crucial for treatment planning and predicting prognosis. We performed a quantitative volumetric analysis to assess the diagnostic accuracy of histogram analysis of diffusion‐weighted imaging (DWI) and dynamic contrast‐enhanced (DCE) T1‐weighted perfusion imaging in the preoperative evaluation of gliomas.


Journal of Neuroimaging | 2016

Comparison of Glioblastomas and Brain Metastases using Dynamic Contrast-Enhanced Perfusion MRI.

Brian C. Jung; Julio Arevalo-Perez; John K. Lyo; Andrei I. Holodny; Sasan Karimi; Robert J. Young; Kyung K. Peck

To compare glioblastoma and brain metastases using T1‐weighted dynamic contrast‐enhanced (DCE)‐MRI perfusion technique.


American Journal of Neuroradiology | 2015

T1-Weighted Dynamic Contrast-Enhanced MRI as a Noninvasive Biomarker of Epidermal Growth Factor Receptor vIII Status

Julio Arevalo-Perez; Alissa A. Thomas; Thomas Kaley; John K. Lyo; Kyung K. Peck; Andrei I. Holodny; Ingo K. Mellinghoff; Weiji Shi; Zhigang Zhang; Robert J. Young

BACKGROUND AND PURPOSE: Epidermal growth factor receptor variant III is a common mutation in glioblastoma, found in approximately 25% of tumors. Epidermal growth factor receptor variant III may accelerate angiogenesis in malignant gliomas. We correlated T1-weighted dynamic contrast-enhanced MR imaging perfusion parameters with epidermal growth factor receptor variant III status. MATERIALS AND METHODS: Eighty-two consecutive patients with glioblastoma and known epidermal growth factor receptor variant III status who had dynamic contrast-enhanced MR imaging before surgery were evaluated. Volumes of interest were drawn around the entire enhancing tumor on contrast T1-weighted images and then were transferred onto coregistered dynamic contrast-enhanced MR imaging perfusion maps. Histogram analysis with normalization was performed to determine the relative mean, 75th percentile, and 90th percentile values for plasma volume and contrast transfer coefficient. A Wilcoxon rank sum test was applied to assess the relationship between baseline perfusion parameters and positive epidermal growth factor receptor variant III status. The receiver operating characteristic method was used to select the cutoffs of the dynamic contrast-enhanced MR imaging perfusion parameters. RESULTS: Increased relative plasma volume and increased relative contrast transfer coefficient parameters were both significantly associated with positive epidermal growth factor receptor variant III status. For epidermal growth factor receptor variant III–positive tumors, relative plasma volume mean was 9.3 and relative contrast transfer coefficient mean was 6.5; for epidermal growth factor receptor variant III–negative tumors, relative plasma volume mean was 3.6 and relative contrast transfer coefficient mean was 3.7 (relative plasma volume mean, P < .001, and relative contrast transfer coefficient mean, P = .008). The predictive powers of relative plasma volume histogram metrics outperformed those of the relative contrast transfer coefficient histogram metrics (P < = .004). CONCLUSIONS: Dynamic contrast-enhanced MR imaging shows greater perfusion and leakiness in epidermal growth factor receptor variant III–positive glioblastomas than in epidermal growth factor receptor variant III–negative glioblastomas, consistent with the known effect of epidermal growth factor receptor variant III on angiogenesis. Quantitative evaluation of dynamic contrast-enhanced MR imaging may be useful as a noninvasive tool for correlating epidermal growth factor receptor variant III expression and related tumor neoangiogenesis. This potential may have implications for monitoring response to epidermal growth factor receptor variant III–targeted therapies.


Neuro-oncology | 2016

Large-volume low apparent diffusion coefficient lesions predict poor survival in bevacizumab-treated glioblastoma patients

Myron Zhang; Bryanna Gulotta; Alissa A. Thomas; Thomas Kaley; Sasan Karimi; Igor T. Gavrilovic; Kaitlin M. Woo; Zhigang Zhang; Julio Arevalo-Perez; Andrei I. Holodny; Marc K. Rosenblum; Robert J. Young

BACKGROUND Glioblastomas treated with bevacizumab may develop low-signal apparent diffusion coefficient (low-ADC) lesions, which may reflect increased tumor cellularity or atypical necrosis. The purpose of this study was to examine the relationship between low-ADC lesions and overall survival (OS). We hypothesized that growing low-ADC lesions would be associated with shorter OS. METHODS We retrospectively identified 52 patients treated with bevacizumab for the first (n = 42, 81%) or later recurrence of primary glioblastoma, who had low-ADC lesions and 2 post-bevacizumab scans ≤90 days apart. Low-ADC lesion volumes were measured, and normalized 5th percentile histogram low-ADC values were recorded. Using OS as the primary endpoint, semiparametric Cox models were fitted to ascertain univariate and multivariate hazard ratios (HRs) with significance at P = .05. RESULTS Median OS was 9.1 months (95% CI = 7.2-14.3). At the second post-bevacizumab scan, the volume of the low-ADC lesion (median: 12.94 cm(3)) was inversely associated with OS, with larger volumes predicting shorter OS (HR = 1.014 [95% CI = 1.003-1.025], P = .009). The percent change in low-ADC volume (median: 6.8%) trended toward increased risk of death with growing volumes (P = .08). Normalized 5th percentile low-ADC value and its percent change were not associated with OS (P > .51). Also correlated with shorter OS were the pre-bevacizumab nonenhancing volume (P = .025), the first post-bevacizumab enhancing volume (P = .040), and the second post-bevacizumab enhancing volume (P = .004). CONCLUSIONS The volume of low-ADC lesions at the second post-bevacizumab scan predicted shorter OS. This suggests that low-ADC lesions may be considered important imaging markers and included in treatment decision algorithms.


American Journal of Neuroradiology | 2016

Diagnostic Accuracy of T1-Weighted Dynamic Contrast-Enhanced–MRI and DWI-ADC for Differentiation of Glioblastoma and Primary CNS Lymphoma

X. Lin; M. Lee; O. Buck; Kaitlin M. Woo; Zhigang Zhang; Vaios Hatzoglou; Antonio Omuro; Julio Arevalo-Perez; Alissa A. Thomas; Jason T. Huse; Kyung K. Peck; Andrei I. Holodny; Robert J. Young

BACKGROUND AND PURPOSE: Glioblastoma and primary CNS lymphoma dictate different neurosurgical strategies; it is critical to distinguish them preoperatively. However, current imaging modalities do not effectively differentiate them. We aimed to examine the use of DWI and T1-weighted dynamic contrast-enhanced–MR imaging as potential discriminative tools. MATERIALS AND METHODS: We retrospectively reviewed 18 patients with primary CNS lymphoma and 36 matched patients with glioblastoma with pretreatment DWI and dynamic contrast-enhanced–MR imaging. VOIs were drawn around the tumor on contrast-enhanced T1WI and FLAIR images; these images were transferred onto coregistered ADC maps to obtain the ADC and onto dynamic contrast-enhanced perfusion maps to obtain the plasma volume and permeability transfer constant. Histogram analysis was performed to determine the mean and relative ADCmean and relative 90th percentile values for plasma volume and the permeability transfer constant. Nonparametric tests were used to assess differences, and receiver operating characteristic analysis was performed for optimal threshold calculations. RESULTS: The enhancing component of primary CNS lymphoma was found to have significantly lower ADCmean (1.1 × 10−3 versus 1.4 × 10−3; P < .001) and relative ADCmean (1.5 versus 1.9; P < .001) and relative 90th percentile values for plasma volume (3.7 versus 5.0; P < .05) than the enhancing component of glioblastoma, but not significantly different relative 90th percentile values for the permeability transfer constant (5.4 versus 4.4; P = .83). The nonenhancing portions of glioblastoma and primary CNS lymphoma did not differ in these parameters. On the basis of receiver operating characteristic analysis, mean ADC provided the best threshold (area under the curve = 0.83) to distinguish primary CNS lymphoma from glioblastoma, which was not improved with normalized ADC or the addition of perfusion parameters. CONCLUSIONS: ADC was superior to dynamic contrast-enhanced–MR imaging perfusion, alone or in combination, in differentiating primary CNS lymphoma from glioblastoma.


Journal of Neuroimaging | 2016

Dynamic Contrast‐Enhanced MRI in Low‐Grade Versus Anaplastic Oligodendrogliomas

Julio Arevalo-Perez; Amanuel A. Kebede; Kyung K. Peck; Eli L. Diamond; Andrei I. Holodny; Marc K. Rosenblum; Jennifer Rubel; Joshua Gaal; Vaios Hatzoglou

Low‐grade and anaplastic oligodendrogliomas are often difficult to differentiate on the basis of conventional MR imaging characteristics. Dynamic contrast‐enhanced (DCE) MRI can assess tumor microvasculature and has demonstrated utility for predicting glioma grade and prognosis in primary brain tumors. The aim of our study was to evaluate the performance of plasma volume (Vp) and volume transfer coefficient (Ktrans) derived from DCE MRI in differentiating between grade II and grade III oligodendrogliomas.


Journal of Neurosurgery | 2016

Stereotactic body radiotherapy for metastatic spinal sarcoma: a detailed patterns-of-failure study

J.E. Leeman; Mark H. Bilsky; Ilya Laufer; Michael R. Folkert; Neil K. Taunk; Joseph R. Osborne; Julio Arevalo-Perez; Joan Zatcky; Kaled M. Alektiar; Yoshiya Yamada; Daniel E. Spratt

OBJECTIVE The aim of this study was to report the first detailed analysis of patterns of failure within the spinal axis of patients treated with stereotactic body radiotherapy (SBRT) for sarcoma spine metastases. METHODS Between 2005 and 2012, 88 consecutive patients with metastatic sarcoma were treated with SBRT for 120 spinal lesions. Seventy-one percent of patients were enrolled on prospective institutional protocols. For patients who underwent routine posttreatment total-spine MRI (64 patients, 88 lesions), each site of progression within the entire spinal axis was mapped in relation to the treated lesion. Actuarial rates of local-, adjacent-, and distant-segment failure-free survival (FFS) were calculated using the Kaplan-Meier method. RESULTS The median follow-up for the cohort was 14.4 months, with 81.7% of patients followed up until death. The 12-month actuarial rate of local FFS was 85.9%; however, 83.3% of local failures occurred in conjunction with distant-segment failures. The 12-month actuarial rates of isolated local-, adjacent-, and distant-segment FFS were 98.0%, 97.8%, and 74.7%, respectively. Of patients with any spinal progression (n = 55), only 25.5% (n = 14) had progression at a single vertebral level, with 60.0% (n = 33) having progression at ≥ 3 sites within the spine simultaneously. Linear regression analysis revealed a relationship of decreasing risk of failure with increasing distance from the treated index lesion (R(2) = 0.87), and 54.1% of failures occurred ≥ 5 vertebral levels away. Treatment of the index lesion with a lower biological effective dose (OR 3.2, 95% CI 1.1-9.2) and presence of local failure (OR 18.0, 95% CI 2.1-152.9) independently predicted for distant spine failure. CONCLUSIONS Isolated local- and adjacent-segment failures are exceptionally rare for patients with metastatic sarcoma to the spine treated with SBRT, thereby affirming the treatment of the involved level only. The majority of progression within the spinal axis occurs ≥ 5 vertebral levels away. Thus, total-spine imaging is necessary for surveillance posttreatment.


Journal of Neuroimaging | 2016

Corpus Callosum Diffusion and Language Lateralization in Patients with Brain Tumors: A DTI and fMRI Study

Gabriella Tantillo; Kyung K. Peck; Julio Arevalo-Perez; John K. Lyo; Joanne F. Chou; Robert J. Young; Nicole Brennan; Andrei I. Holodny

Examining how left‐hemisphere brain tumors might impact both the microstructure of the corpus callosum (CC) as measured by fractional anisotropy (FA) values in diffusion tensor imaging (DTI) as well as cortical language lateralization measured with functional MRI (fMRI).


Rivista Di Neuroradiologia | 2015

Parietal intradiploic encephalocele: Report of a case and review of the literature.

Julio Arevalo-Perez; José M Millán-Juncos

Encephaloceles consist of brain tissue and meninges that has herniated through a skull defect, usually located in the midline. They are seen more commonly in children and very rarely in adults. We present a case of an 84-year-old patient who was incidentally diagnosed with a lytic bone lesion in the right parietal intradiploic space, after computed tomography of the head was performed. A magnetic resonance imaging scan of the brain showed herniation of brain tissue through the defect. Magnetic resonance imaging was crucial in demonstrating the presence of parenchyma and its continuity with the rest of the brain, consequently distinguishing it from other entities. We report the imaging findings of a parietal indradiploic encephalocele with its differential diagnosis and a review of the relevant literature.

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Andrei I. Holodny

Memorial Sloan Kettering Cancer Center

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Kyung K. Peck

Memorial Sloan Kettering Cancer Center

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Robert J. Young

Memorial Sloan Kettering Cancer Center

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John K. Lyo

Memorial Sloan Kettering Cancer Center

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Sasan Karimi

Memorial Sloan Kettering Cancer Center

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Alissa A. Thomas

Memorial Sloan Kettering Cancer Center

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Eric Lis

Memorial Sloan Kettering Cancer Center

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Marc K. Rosenblum

Memorial Sloan Kettering Cancer Center

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Thomas Kaley

Memorial Sloan Kettering Cancer Center

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Zhigang Zhang

Memorial Sloan Kettering Cancer Center

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