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Featured researches published by Ouzi Nissim.


Journal of Clinical Oncology | 2003

Early Detection of Response to Radiation Therapy in Patients With Brain Malignancies Using Conventional and High b-Value Diffusion-Weighted Magnetic Resonance Imaging

Yael Mardor; Raphael Pfeffer; Roberto Spiegelmann; Yiftach Roth; Stephan E. Maier; Ouzi Nissim; Raanan Berger; Ami Glicksman; Jacob Baram; Arie Orenstein; Jack S. Cohen; Thomas Tichler

PURPOSE To study the feasibility of using diffusion-weighted magnetic resonance imaging (DWMRI), which is sensitive to the diffusion of water molecules in tissues, for detection of early tumor response to radiation therapy; and to evaluate the additional information obtained from high DWMRI, which is more sensitive to low-mobility water molecules (such as intracellular or bound water), in increasing the sensitivity to response. PATIENTS AND METHODS Standard MRI and DWMRI were acquired before and at regular intervals after initiating radiation therapy for 10 malignant brain lesions in eight patients. RESULTS One week posttherapy, three of six responding lesions showed an increase in the conventional DWMRI parameters. Another three responding lesions showed no change. Four nonresponding lesions showed a decrease or no change. The early change in the diffusion parameters was enhanced by using high DWMRI. When high DWMRI was used, all responding lesions showed increase in the diffusion parameter and all nonresponding lesions showed no change or decrease. Response was determined by standard MRI 7 weeks posttherapy. The changes in the diffusion parameters measured 1 week after initiating treatment were correlated with later tumor response or no response (P <.006). This correlation was increased to P <.0006 when high DWMRI was used. CONCLUSION The significant correlation between changes in diffusion parameters 1 week after initiating treatment and later tumor response or no response suggests the feasibility of using DWMRI for early, noninvasive prediction of tumor response. The ability to predict response may enable early termination of treatment in nonresponding patients, prevent additional toxicity, and allow for early changes in treatment.


Neurosurgery | 2002

Linear accelerator radiosurgery for meningiomas in and around the cavernous sinus.

Roberto Spiegelmann; Ouzi Nissim; J Menhel; D. Alezra; M. Raphael Pfeffer

OBJECTIVE A retrospective study to evaluate the efficacy and side effects of linear accelerator radiosurgery in the treatment of cavernous sinus meningiomas. METHODS Between 1993 and 2001, 42 patients with meningiomas involving the cavernous sinus underwent linear accelerator radiosurgery at our institution. A mean radiation dose of 14 Gy was delivered to the tumor margin. The median tumor volume was 8.2 cm3 (mean, 8.4 cm3). Median follow-up was 36 months (mean, 38 mo). RESULTS Control of tumor growth was achieved in 97.5% of the patients. There was no mortality or permanent extraocular motor or pituitary dysfunction. Treatment-related complications included new trigeminal neuropathy in 4.7% and a new visual field defect in 2.8%. Two patients required shunt placement after developing hydrocephalus. One patient with symptomatic temporal lobe edema underwent partial excision of the tumor. Improvement of existing cranial neuropathies was noted in 29% of affected trigeminal nerves, in 22% of oculomotor nerves, and in 13% of Cranial Nerves IV and VI. CONCLUSION This study indicates that linear accelerator radiosurgery can achieve a high control rate of meningiomas involving the cavernous sinus with no mortality and a low incidence of morbidity.


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.


Neoplasia | 2004

Pretreatment Prediction of Brain Tumors' Response to Radiation Therapy Using High b-Value Diffusion-Weighted MRI

Yael Mardor; Yiftach Roth; Aharon Ocherashvilli; Roberto Spiegelmann; Thomas Tichler; Dianne Daniels; Stephan E. Maier; Ouzi Nissim; Zvi Ram; Jacob Baram; Arie Orenstein; Raphael Pfeffer


Journal of Clinical Neuroscience | 2016

Predicting and reducing cranioplasty infections by clinical, radiographic and operative parameters – A historical cohort study

Gil Kimchi; Petros Stlylianou; Anton Wohl; Moshe Hadani; Zvi R. Cohen; Jacob Zauberman; Zeev Feldman; Roberto Spiegelmann; Ouzi Nissim; Zion Zivly; Mark Penn; Sagi Harnof


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


Journal of Clinical Oncology | 2017

Delayed contrast MRI: A new paradigm in neuro-oncology.

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


Journal of Clinical Oncology | 2017

MRI-based vessel function maps for high-resolution differentiation between tumor and nontumoral tissues in brain tumor patients.

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

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Yael Mardor

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