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Dive into the research topics where John K. Lyo is active.

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Featured researches published by John K. Lyo.


Journal of Magnetic Resonance Imaging | 2012

Skeletal muscle BOLD MRI: from underlying physiological concepts to its usefulness in clinical conditions.

Bjoern Jacobi; Georg Bongartz; Sasan Partovi; Anja Carina Schulte; Markus Aschwanden; Alan B. Lumsden; Mark G. Davies; Matthias Loebe; Georg P. Noon; Sasan Karimi; John K. Lyo; Daniel Staub; Rolf W. Huegli; Deniz Bilecen

Blood oxygenation‐level dependent (BOLD) MRI has gained particular attention in functional brain imaging studies, where it can be used to localize areas of brain activation with high temporal resolution. To a higher degree than in the brain, skeletal muscles show extensive but transient alterations of blood flow between resting and activation state. Thus, there has been interest in the application of the BOLD effect in studying the physiology of skeletal muscles (healthy and diseased) and its possible application to clinical practice. This review outlines the potential of skeletal muscle BOLD MRI as a diagnostic tool for the evaluation of physiological and pathological alterations in the peripheral limb perfusion, such as in peripheral arterial occlusive disease. Moreover, current knowledge is summarized regarding the complex mechanisms eliciting BOLD effect in skeletal muscle. We describe technical fundaments of the procedure that should be taken into account when performing skeletal muscle BOLD MRI, including the most often applied paradigms to provoke BOLD signal changes and key parameters of the resulting time courses. Possible confounding effects in muscle BOLD imaging studies, like age, muscle fiber type, training state, and drug effects are also reviewed in detail. J. Magn. Reson. Imaging 2012;35:1253–1265.


American Journal of Neuroradiology | 2012

Clinical standardized fMRI reveals altered language lateralization in patients with brain tumor.

Sasan Partovi; B. Jacobi; N. Rapps; L. Zipp; Sasan Karimi; F. Rengier; John K. Lyo; C. Stippich

BACKGROUND AND PURPOSE: Brain tumors affecting language-relevant areas may influence language lateralization. The purpose of this study was to systematically investigate language lateralization in brain tumor patients using clinical language fMRI, comparing the results with a group of healthy volunteers. MATERIALS AND METHODS: Fifty-seven strictly right-handed patients with left-hemispheric-space intracranial masses (mainly neoplastic) affecting either the Broca area (n = 19) or Wernicke area (n = 38) were prospectively enrolled in this study. Fourteen healthy volunteers served as a control group. Standardized clinical language fMRI, using visually triggered sentence- and word-generation paradigms, was performed on a 1.5T MR scanner. Semiautomated analyses of all functional data were conducted on an individual basis using BrainVoyager. A regional lateralization index was calculated for Broca and Wernicke areas separately versus their corresponding right-hemisphere homologs. RESULTS: In masses affecting the Broca area, a significant decrease in the lateralization index was found when performing word generation (P = .0017), whereas when applying sentence generation, the decrease did not reach statistical significance (P = .851). Masses affecting the Wernicke area induced a significant decrease of the lateralization index when performing sentence generation (P = .0007), whereas when applying word generation, the decrease was not statistically significant (P = .310). CONCLUSIONS: Clinical language fMRI was feasible for patients with brain tumors and provided relevant presurgical information by localizing essential language areas and determining language dominance. A significant effect of the brain masses on language lateralization was observed, with a shift toward the contralesional, nondominant hemisphere. This may reflect compensatory mechanisms of the brain to maintain communicative abilities.


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.


American Journal of Roentgenology | 2010

Imaging of Metastatic CNS Neuroblastoma

Nicholas D'Ambrosio; John K. Lyo; Robert J. Young; Sophia Haque; Sasan Karimi

OBJECTIVE Although neuroblastoma is a common childhood malignancy, which frequently metastasizes, involvement of the CNS is rarely reported in the literature. However, over the past several years, we have encountered an increasing number of cases of metastatic neuroblastoma to the CNS. This metastatic potential and changing metastatic pattern may, in part, be due to advances in medical treatment, leading to prolonged survival. This article will review the common and uncommon manifestations of metastatic neuroblastoma with an emphasis on the skull, dura, brain, ventricles, and leptomeninges. CONCLUSION Neuroblastoma has diverse manifestations including masquerading as primary neurologic disease. This disease must be considered in a child with any unexplained neurologic disorder. Realizing that neuroblastoma may represent the cause of neurologic disease in a child will lead to earlier diagnosis.


Magnetic Resonance Materials in Physics Biology and Medicine | 2012

Clinical implications of skeletal muscle blood-oxygenation-level-dependent (BOLD) MRI

Sasan Partovi; Sasan Karimi; Bjoern Jacobi; Anja Carina Schulte; Markus Aschwanden; Lisa Zipp; John K. Lyo; Christof Karmonik; Matthias Müller-Eschner; Rolf W. Huegli; Georg Bongartz; Deniz Bilecen

Blood-oxygenation-level-dependent (BOLD) contrast in magnetic resonance (MR) imaging of skeletal muscle mainly depends on changes of oxygen saturation in the microcirculation. In recent years, an increasing number of studies have evaluated the clinical relevance of skeletal muscle BOLD MR imaging in vascular diseases, such as peripheral arterial occlusive disease, diabetes mellitus, and chronic compartment syndrome. BOLD imaging combines the advantages of MR imaging, i.e., high spatial resolution, no exposure to ionizing radiation, with functional information of local microvascular perfusion. Due to intrinsic contrast provoked via changes in hemoglobin oxygen saturation, it is a safe and easy applicable procedure on standard whole-body MR devices. Therefore, BOLD MR imaging of skeletal muscle is a potential new diagnostic tool in the clinical evaluation of vascular, inflammatory, and muscular pathologies. Our review focuses on the current evidence concerning the use of BOLD MR imaging of skeletal muscle under pathological conditions and highlights ways for future clinical and scientific applications.


Academic Radiology | 2012

Effects of Covert and Overt Paradigms in Clinical Language fMRI

Sasan Partovi; Florian Konrad; Sasan Karimi; Fabian Rengier; John K. Lyo; Lisa Zipp; Ernst Nennig; Christoph Stippich

RATIONALE AND OBJECTIVES The aim of this study was to assess the intrasubject and intersubject reproducibility of functional magnetic resonance imaging (fMRI) language paradigms on language localization and lateralization. MATERIALS AND METHODS Fourteen healthy volunteers were enrolled prospectively and underwent language fMRI using visually triggered covert and overt sentence generation (SG) and word generation (WG) paradigms. Semiautomated analysis of all functional data was performed using Brain Voyager on an individual basis. Regions of interest for Brocas area, Wernickes area, and their contralateral homologues were drawn. The Euclidean coordinates of the center of gravidity (x, y, and z) of the respective blood oxygenation level-dependent (BOLD) activation cluster, and the correlation of the measured hemodynamic response to the applied reference function (r), relative BOLD signal change as BOLD signal characteristics were measured in each region of interest. Regional lateralization indexes were calculated for Brocas area, Wernickes area, and their contralateral homologues separately. Wilcoxons signed-rank test was applied for statistical comparisons (P values < .05 were considered significant). Ten of the 14 volunteers had three repeated measurements to test intrasession reproducibility and intersession reproducibility. RESULTS Overall activation rates for the four paradigms were 89% for covert SG, 82% for overt SG, 89% for covert WG, and 100% for overt WG. When comparing covert and overt paradigms, language localization was significantly different in 17% (Euclidean coordinates) and 19% (BOLD signal characteristics), respectively. Language lateralization was significantly different in 75%. Intrasubject and intersubject reproducibility was excellent, with 3.3% significant differences among all five parameters for language localization and 0% significant differences for language lateralization using covert paradigms. CONCLUSIONS Covert language paradigms (SG and WG) provided highly robust and reproducible localization and lateralization of essential language centers for scans performed on the same and different days. Their overt counterparts achieved confirmatory localization but lower lateralization capabilities. Reference data for presurgical application are provided.


Spine | 2013

Measurement of blood perfusion in spinal metastases with dynamic contrast-enhanced magnetic resonance imaging: evaluation of tumor response to radiation therapy.

Stacy Chu; Sasan Karimi; Kyung K. Peck; Yoshiya Yamada; Eric Lis; John K. Lyo; Mark H. Bilsky; Andrei I. Holodny

Study Design. This was a retrospective study focusing on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to assess treatment response in patients with spinal metastases. Objective. To demonstrate DCE-MRI changes before and after radiation treatment and correlating with other imaging and clinical findings. Summary of Background Data. Currently, conventional imaging is limited in evaluating early treatment success or failure, which impacts patient care. Methods. Consecutive patients with known spinal metastases underwent DCE-MRI before and after radiotherapy. Perfusion data on 19 lesions were analyzed. Radiotherapy was classified as success (n = 17) or failure (n = 2) on the basis of evidence of tumor contraction (n = 4), negative positron emission tomography (n = 2), or stability for more than 11 months (n = 11). Perfusion parameters blood plasma volume (Vp), time-dependent leakage (Ktrans), area under the curve, and peak enhancement were derived from the signal intensity-time curves and changes in parameter values from pre- to post-treatment were calculated. Curve morphologies were also qualitatively assessed in 13 pre- and 13 post-treatment scans. Results. Vp was the strongest predictor of treatment response (false-positive rate = 9.38 × 10−9 and false-negative rate = 0.055). All successfully treated lesions showed decreases in Vp, and the 2 treatment failures showed drastic increases in Vp. Changes in area under the curve and peak enhancement demonstrated similar relationships to the observed treatment response, whereas changes in Ktrans showed no significant relationship. Signal intensity curve morphologies also demonstrated specificity for active disease (11 of 13) and treated disease (8 of 13). Conclusion. Changes in perfusion, particularly Vp, reflect tumor responses to radiotherapy in spinal bone metastases. These changes were able to predict positive outcomes earlier than 6 months after treatment in 16 of 17 tumors. The ability of DCE-MRI to detect early treatment response has the potential to improve patient care and outcome.


American Journal of Neuroradiology | 2012

Characterizing Hypervascular and Hypovascular Metastases and Normal Bone Marrow of the Spine Using Dynamic Contrast-Enhanced MR Imaging

N.R. Khadem; Sasan Karimi; Kyung K. Peck; Yoshiya Yamada; Eric Lis; John K. Lyo; Mark H. Bilsky; H.A. Vargas; Andrei I. Holodny

In this study the feasibility of using dynamic postcontrast imaging to separate hypo- and hypervascular spine metastases was assessed. Using a T1 postcontrast sequence with temporal resolution of 6 seconds, the authors imaged spine lesions in 26 patients and from the data collected calculated 3 dynamic parameters. Hypervascular lesions showed steeper and higher wash-in slopes and higher peak enhancement. Conversely, conventional pre- and postcontrast images were unable to differentiate lesions. BACKGROUND AND PURPOSE: The role of DCE-MR imaging in the study of bone marrow perfusion is only partially developed, though potential applications for routine use in the clinical setting are beginning to be described. We hypothesize that DCE-MR imaging can be used to discriminate between hypervascular and hypovascular metastases based on measured perfusion variables. MATERIALS AND METHODS: We conducted a retrospective study of 26 patients using conventional MR imaging and DCE-MR imaging. Patients were assigned to a hypervascular or hypovascular group based on tumor pathology. ROIs were drawn around normal-appearing bone marrow (internal controls) and enhancing tumor areas. Average wash-in enhancement slope, average peak enhancement signal percentage change, and average peak enhancement signal percentage change in areas of highest wash-in enhancement slope were calculated. Indices were compared among control, hypervascular, and hypovascular groups. Conventional imaging was assessed by calculating pre- to postgadolinium signal percentage changes in hypervascular and hypovascular lesions. RESULTS: Hypervascular and hypovascular tumors differed significantly with regard to wash-in enhancement slope (P < .01; hypervascular 95% CI, 22.5–26.5 AU/s; hypovascular 95% CI, 14.1–20.9 AU/s) and peak enhancement signal percentage change in areas of highest wash-in enhancement slope (P < .01; hypervascular 95% CI, 174.1–323.3%; hypovascular 95% CI, 39.5–150.5%). Peak enhancement signal percentage change over all voxels was not significant (P = .62). Areas of normal-appearing marrow showed no appreciable contrast enhancement. Conventional contrast-enhanced MR imaging was unable to differentiate between hypervascular and hypovascular tumors (P = .58). CONCLUSIONS: Our data demonstrate that, unlike conventional MR imaging sequences, DCE-MR imaging may be a more accurate technique in discriminating hypervascular from hypovascular spinal metastases.


British Journal of Radiology | 2014

Multimodality imaging of primary CNS lymphoma in immunocompetent patients

Sasan Partovi; Sasan Karimi; John K. Lyo; A Esmaeili; J Tan; Lisa M. DeAngelis

Primary central nervous system lymphoma (PCNSL) belongs to the group of extranodal non-Hodgkins lymphoma, and the management of the disease is radically different from other central nervous system neoplasms. Owing to its varied appearance on imaging, diagnosis of PCNSL can be challenging. The purpose of this pictorial review is to depict the brain findings of PCNSL during initial diagnosis in immunocompetent individuals. Multimodal imaging integrating advanced sequences can facilitate differentiation of PCNSL from other CNS neoplasms.


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.

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Sasan Karimi

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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Andrei I. Holodny

Memorial Sloan Kettering Cancer Center

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Julio Arevalo-Perez

Memorial Sloan Kettering Cancer Center

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Sasan Partovi

Memorial Sloan Kettering Cancer Center

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Yoshiya Yamada

Memorial Sloan Kettering Cancer Center

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Eric Lis

Memorial Sloan Kettering Cancer Center

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Mark H. Bilsky

Memorial Sloan Kettering Cancer Center

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Alissa A. Thomas

Memorial Sloan Kettering Cancer Center

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