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Dive into the research topics where Leor Zach is active.

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Featured researches published by Leor Zach.


Neuro-oncology | 2015

Delayed contrast extravasation MRI: a new paradigm in neuro-oncology

Leor Zach; David Guez; Dianne Daniels; Yuval Grober; Ouzi Nissim; Chen Hoffmann; Dvora Nass; Alisa Talianski; Roberto Spiegelmann; Galia Tsarfaty; Sharona Salomon; Moshe Hadani; Andrew A. Kanner; Deborah T. Blumenthal; Felix Bukstein; Michal Yalon; Jacob Zauberman; Jonathan Roth; Yigal Shoshan; Evgeniya Fridman; Marc Wygoda; Dror Limon; Tzahala Tzuk; Zvi R. Cohen; Yael Mardor

BACKGROUND Conventional magnetic resonance imaging (MRI) is unable to differentiate tumor/nontumor enhancing tissues. We have applied delayed-contrast MRI for calculating high resolution treatment response assessment maps (TRAMs) clearly differentiating tumor/nontumor tissues in brain tumor patients. METHODS One hundred and fifty patients with primary/metastatic tumors were recruited and scanned by delayed-contrast MRI and perfusion MRI. Of those, 47 patients underwent resection during their participation in the study. Region of interest/threshold analysis was performed on the TRAMs and on relative cerebral blood volume maps, and correlation with histology was studied. Relative cerebral blood volume was also assessed by the study neuroradiologist. RESULTS Histological validation confirmed that regions of contrast agent clearance in the TRAMs >1 h post contrast injection represent active tumor, while regions of contrast accumulation represent nontumor tissues with 100% sensitivity and 92% positive predictive value to active tumor. Significant correlation was found between tumor burden in the TRAMs and histology in a subgroup of lesions resected en bloc (r(2) = 0.90, P < .0001). Relative cerebral blood volume yielded sensitivity/positive predictive values of 51%/96% and there was no correlation with tumor burden. The feasibility of applying the TRAMs for differentiating progression from treatment effects, depicting tumor within hemorrhages, and detecting residual tumor postsurgery is demonstrated. CONCLUSIONS The TRAMs present a novel model-independent approach providing efficient separation between tumor/nontumor tissues by adding a short MRI scan >1 h post contrast injection. The methodology uses robust acquisition sequences, providing high resolution and easy to interpret maps with minimal sensitivity to susceptibility artifacts. The presented results provide histological validation of the TRAMs and demonstrate their potential contribution to the management of brain tumor patients.


PLOS ONE | 2012

Delayed Contrast Extravasation MRI for Depicting Tumor and Non-Tumoral Tissues in Primary and Metastatic Brain Tumors

Leor Zach; David Guez; Dianne Daniels; Yuval Grober; Ouzi Nissim; Chen Hoffmann; Dvora Nass; Alisa Talianski; Roberto Spiegelmann; Zvi R. Cohen; Yael Mardor

The current standard of care for newly diagnosed glioblastoma multiforme (GBM) is resection followed by radiotherapy with concomitant and adjuvant temozolomide. Recent studies suggest that nearly half of the patients with early radiological deterioration post treatment do not suffer from tumor recurrence but from pseudoprogression. Similarly, a significant number of patients with brain metastases suffer from radiation necrosis following radiation treatments. Conventional MRI is currently unable to differentiate tumor progression from treatment-induced effects. The ability to clearly differentiate tumor from non-tumoral tissues is crucial for appropriate patient management. Ten patients with primary brain tumors and 10 patients with brain metastases were scanned by delayed contrast extravasation MRI prior to surgery. Enhancement subtraction maps calculated from high resolution MR images acquired up to 75 min after contrast administration were used for obtaining stereotactic biopsies. Histological assessment was then compared with the pre-surgical calculated maps. In addition, the application of our maps for prediction of progression was studied in a small cohort of 13 newly diagnosed GBM patients undergoing standard chemoradiation and followed up to 19.7 months post therapy. The maps showed two primary enhancement populations: the slow population where contrast clearance from the tissue was slower than contrast accumulation and the fast population where clearance was faster than accumulation. Comparison with histology confirmed the fast population to consist of morphologically active tumor and the slow population to consist of non-tumoral tissues. Our maps demonstrated significant correlation with perfusion-weighted MR data acquired simultaneously, although contradicting examples were shown. Preliminary results suggest that early changes in the fast volumes may serve as a predictor for time to progression. These preliminary results suggest that our high resolution MRI-based delayed enhancement subtraction maps may be applied for clear depiction of tumor and non-tumoral tissues in patients with primary brain tumors and patients with brain metastases.


Journal of Clinical Neuroscience | 2016

Durable brain response with pulse-dose crizotinib and ceritinib in ALK-positive non-small cell lung cancer compared with brain radiotherapy

Elizabeth Dudnik; Tali Siegal; Leor Zach; Aaron M. Allen; Dov Flex; Shlomit Yust-Katz; Dror Limon; Fred R. Hirsch; Nir Peled

Crizotinib achieves excellent systemic control in anaplastic lymphoma kinase-rearranged (ALK+) non-small cell lung cancer (NSCLC); however, central nervous system (CNS) metastases frequently occur as an early event. Whole brain irradiation, the standard treatment, results in neurocognitive impairment. We present a case series of three ALK+ NSCLC patients with progressing CNS metastases who were treated with pulse-dose crizotinib followed by ceritinib. Three ALK+ NSCLC patients treated between 2011 and 2014 (two males, two never smokers, age range 20-54years, all echinoderm microtubule-associated protein-like 4/ALK rearrangement), were diagnosed with progressing cerebral disease while receiving crizotinib. Clinico-pathological characteristics, treatments, and outcomes were analyzed. In two patients the progression was limited to the CNS, and radiological evidence of leptomeningeal spread was present in one patient. Sequential use of crizotinib 500mg administered once daily (pulse-dose) followed by ceritinib on progression achieved control of the disease in the CNS for over 18 months and over 7 months in Patient 1 and Patient 2, respectively. This strategy provided durable CNS control after whole-brain radiotherapy failure in Patient 1, and allowed the whole-brain radiotherapy to be deferred in Patient 2. Limited CNS progression was documented in Patient 3 while he was on standard-dose/pulse-dose crizotinib for 15months; durable (over 7 months) complete remission was achieved with stereotactic radiotherapy and ceritinib. Manipulating the crizotinib schedule in ALK+ NSCLC patients with CNS metastases and using a novel ALK-inhibitor at the time of further progression may provide durable CNS control and allow brain radiotherapy to be deferred.


American Journal of Neuroradiology | 2016

Early Biomarkers from Conventional and Delayed-Contrast MRI to Predict the Response to Bevacizumab in Recurrent High-Grade Gliomas

Dianne Daniels; D. Guez; Chen Hoffmann; Dvora Nass; Alisa Talianski; Galia Tsarfaty; S. Salomon; Andrew A. Kanner; Deborah T. Blumenthal; Felix Bokstein; Sagi Harnof; D. Yekutieli; S. Zamir; Zvi R. Cohen; Leor Zach; Yael Mardor

Twenty-four patients with recurrent high-grade gliomas were scanned before and during bevacizumab treatment with standard and delayed-contrast MRI. The mean change in lesion volumes of responders (overall survival, >1 year) and nonresponders (overall survival, <1 year) was evaluated. Treatment-response-assessment maps (TRAMs) were calculated by subtracting conventional T1WI (acquired a few minutes postcontrast) from delayed T1WI (acquired with a delay of >1 hour postcontrast). These maps depict the spatial distribution of contrast accumulation and clearance. At progression, the increase in lesion volumes in delayed-contrast MR imaging was 37.5% higher than the increase in conventional T1WI. The authors conclude that the benefit of standard and delayed-contrast MRI for assessing and predicting the response to bevacizumab was demonstrated and that the increased sensitivity of delayed-contrast MRI reflects its potential contribution to the management of bevacizumab-treated patients with recurrent HGG. BACKGROUND AND PURPOSE: The interpretation of the radiologic response of bevacizumab-treated patients with recurrent high-grade gliomas represents a unique challenge. Delayed-contrast MR imaging was recently introduced for calculating treatment-response-assessment maps in patients with brain tumors, providing clear separation between active tumor and treatment effects. We studied the application of standard and delayed-contrast MR imaging for assessing and predicting the response to bevacizumab. MATERIALS AND METHODS: Twenty-four patients with recurrent high-grade gliomas were scanned before and during bevacizumab treatment by standard and delayed-contrast MR imaging. The mean change in lesion volumes of responders (overall survival, ≥1 year) and nonresponders (overall survival, <1 year) was studied. The lesion volumes at baseline and the changes in lesion volumes 1 month after treatment initiation, calculated from standard and delayed-contrast MRIs, were studied as possible predictors of outcome. In scans acquired at progression, the average change in lesion volume from previous follow-up in standard and delayed-contrast MRIs was compared. RESULTS: Response and progression patterns were identified from the mean change in lesion volumes, depicted from conventional T1WI, delayed contrast-enhanced MR imaging, and DSC MR imaging. Thresholds for early prediction of response were calculated by using these sequences. For each predictor, sensitivity, specificity, positive predictive values, and negative predictive values were calculated, reaching 85.7%, 87.5%, 75%, and 93.3% for conventional T1WI; 100%, 87.5%, 77.8%, and 100% for delayed-contrast MR imaging; and 75%, 78.6%, 50%, and 91.7% for DSC MR imaging. The benefit of delayed-contrast MR imaging in separating responders and nonresponders was further confirmed by using log-rank tests (conventional T1WI, P = .0022; delayed-contrast MR imaging, P < .0001; DSC MR imaging, P = .0232) and receiver operating characteristic analyses. At progression, the increase in lesion volumes in delayed-contrast MR imaging was 37.5% higher than the increase in conventional T1WI (P < .01); these findings suggest that progression may be depicted more effectively in treatment-response-assessment maps. CONCLUSIONS: The benefit of contrast-enhanced MR imaging for assessing and predicting the response to bevacizumab was demonstrated. The increased sensitivity of the treatment-response-assessment maps reflects their potential contribution to the management of bevacizumab-treated patients with recurrent high-grade glioma.


Neuro-oncology | 2014

P16.35DELAYED CONTRAST MRI FOR DIFFERENTIATING TUMOR FROM TREATMENT EFFECTS IN CONVENTIONAL AND ANTI-ANGIOGENIC TREATMENTS

Dianne Daniels; David Guez; Leor Zach; Yael Mardor


International Journal of Radiation Oncology Biology Physics | 2018

Radiation-Induced Vascular Malformations Mimicking Tumor in MRI-Based Treatment Response Assessment Maps (TRAMs)

Yael Mardor; Roberto Spiegelmann; David Guez; Dianne Daniels; S. Sharabi; Dvora Nass; Ouzi Nissim; Galia Tsarfaty; Chen Hoffmann; Alisa Talianski; Y. Fellig; S. Harnof; Z.R. Cohen; Yigal Shoshan; Leor Zach


Neuro-oncology | 2017

NIMG-52. RADIATION-INDUCED VASCULAR MALFORMATIONS MIMICKING TUMOR IN MRI-BASED TREATMENT RESPONSE ASSESSMENT MAPS (TRAMs)

Leor Zach; David Guez; Dianne Daniels; Shirley Sharabi; Dvora Nass; Ouzi Nissim; Roberto Spiegelmann; Galia Tsarfaty; Chen Hoffmann; Alisa Talianski; Yigal Shoshan; Yakov Fellig; Sagi Harnof; Zvi R. Cohen; Yael Mardor


International Journal of Radiation Oncology Biology Physics | 2017

Improving Fractionated Radio Surgery for Anterior Optic Apparatus Lesions

L. Tsvang; D. Alezra; Ouzi Nissim; Leor Zach; Roberto Spiegelmann


Neuro-oncology | 2016

P06.14 Early biomarkers from conventional MRI and TRAMs for predicting response to bevacizumab in recurrent high-grade gliomas

Dianne Daniels; David Guez; Alisa Talianski; Andrew A. Kanner; Deborah T. Blumenthal; Felix Bokstein; Zvi R. Cohen; Yael Mardor; Leor Zach


Neuro-oncology | 2016

NIMG-47. MACHINE LEARNING ALGORITHMS FOR PREDICTING GBM GROWTH PATTERNS USING ADVANCED AND DELAYED-CONTRAST MRI: FEASIBILITY DEMONSTRATION

David Guez; Dianne Daniels; Dvora Nass; Sharona Salomon; Alisa Talianski; Andrew A. Kanner; Deborah T. Blumenthal; Felix Bokstein; Dror Limon; Tzahala Tzuk; Zvi R. Cohen; Leor Zach; Yael Mardor

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