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Featured researches published by Michael Muzinic.


Technology in Cancer Research & Treatment | 2010

Quantitative Comparison of Yttrium-90 (90 Y)-Microspheres and Technetium-99m (99m Tc)-Macroaggregated Albumin SPECT Images for Planning 90 Y Therapy of Liver Cancer

Karin Knešaurek; Josef Machac; Michael Muzinic; Maria DaCosta; Zhuangyu Zhang; Sherif Heiba

Yttrium-90 (90 Y)-microspheres administered via the hepatic artery has been used for the treatment of unresectable primary or metastatic cancer in the liver. Prior to 90 Y therapy, however, the 90 Y administered activity and the percent shunting to lungs must be determined, most commonly by gamma camera imaging of technetium-99m (99m Tc)-macroaggregated albumin (MAA). The purpose of the current study was to identify and evaluate an objective measure of the correlation of 90 Y and MAA activity distributions and thus assess the reliability of MAA imaging for evaluation of 90 Y administered activity and tumor and liver radiation doses. The MAA study consisted of two acquisitions. After administration of 185 MBq of MAA, a partial-body or so-called breakthrough scan was performed in order to determine the percent shunting to lungs. Immediately after a breakthrough scan, a combined single-photon emission computed tomography (SPECT)/transmission computed tomography (CT) scanner was used to image MAA distribution in order to derived the prescribed 90 Y administered activity based on tumor and liver dosimetry. 90 Y SPECT/CT was performed 2–4 weeks later and activities used were in the range of 777–2,442 MBq. In order to compare 90 Y and MAA SPECT images, first the respective CT image sets were registered using a transform based on normalized mutual information. The transform thus derived was used to align the 90 Y and MAA SPECT image sets, and the Spearmans (rho) rank correlation as well as image distance (L2-norm) between the registered SPECT images were then calculated. The Spearmans rank correlation values ranged from 0.451 to 0.818 and the L2 distances from 0.626 to 2.889. Based on visual inspection, the registration of the 90 Y and MAA SPECT images appeared reasonably accurate. The regression coefficient (r) between visual scoring and the Spearmans rank correlation was 0.65 and between visual scoring and L2 distance 0.61. The Spearmans rank correlation thus appears to be more reliable than the image distance for assessing the correlation of the 90 Y and MAA images.


Clinical Nuclear Medicine | 1991

Role of in-111 labeled leukocyte scintigraphy in the diagnosis of intracerebral lesions.

Christopher J. Palestro; Alfred J. Swyer; Chun K. Kim; Michael Muzinic; Stanley J. Goldsmith

The differential diagnosis of intracerebral enhancing lesions on contrast computed tomography includes tumors, abscesses, and cerebrovascular accidents. Particularly important is the differentiation between tumor and abscess. While ln-111 labeled leukocyte imaging is an accurate test for identification of foci of infection in general, the role of this procedure in the evaluation of the intracranial lesion is not well established. We undertook a retrospective review of 16 patients with contrast enhancing intracerebral lesions identified on computed tomography, who were also studied with labeled leukocyte imaging. Final diagnoses were: abscess (n=2), primary brain tumor (n=6), metastasis (n=4), dermoid cyst (n=1), and cerebral infarct (n=3). There were two positive labeled leukocyte studies; both were cerebral abscesses. No labeled leukocyte activity was identified in any of the tumors or infarcts. We conclude that ln-111 labeled leukocyte imaging is an accurate method of differentiating infectious from noninfectious causes of intracerebral lesions identified on computed tomography.


The Journal of Nuclear Medicine | 1993

Assessing Collateral Cerebral Perfusion with Technetium-99m-HMPAO SPECT During Temporary Internal Carotid Artery Occlusion

Christopher J. Palestro; Chandranath Sen; Michael Muzinic; Menes O. Afriyie; Stanley J. Goldsmith


Society of Nuclear Medicine Annual Meeting Abstracts | 2008

Comparison of visual and computer calculated coregistration of Y-90 and Tc-99m MAA SPECT/CT images in treatment of liver cancer

Karin Knesaurek; Michael Muzinic; Zhuangyu Zhang; Maria DaCosta; Josef Machac


The Journal of Nuclear Medicine | 2012

Comparison of 4 different gamma cameras in pinhole collimator imaging of a thyroid phantom with I-131 and Tc-99m

Maria DaCosta; Michael Muzinic; Dennis Tan; Asad Rasuli; Karin Knešaurek; Josef Machac


The Journal of Nuclear Medicine | 2009

Precise fusion of MRI and dual energy In-111 WBC/Tc-99m HDP SPECT/CT in diabetic foot using companion CT

Karin Knešaurek; Dov Kolker; Sridhar Vatti; Josef Machac; Lale Kostakoglu; Michael Muzinic; Maria DaCosta; Hongju Son; Karan Kapoor; Sherif Heiba


The Journal of Nuclear Medicine | 2008

SPECT/CT acquired using a foot holder to improve co-registration accuracy of initial and subsequent dual isotope (DI) scans

Maria DaCosta; Karin Knesaurek; Michael Muzinic; Josef Machac; Sherif Heiba


Society of Nuclear Medicine Annual Meeting Abstracts | 2008

Accurate fusion of In-111 WBC SPECT/CT and MRI in diabetic foot evaluations using CT/MRI correlation

Karin Knesaurek; Dov Kolker; Sridhar Vatti; Josef Machac; Michael Muzinic; Maria DaCosta; Zhuangyu Zhang; Bharat Mocherla; Heiba Sherif


Society of Nuclear Medicine Annual Meeting Abstracts | 2007

Comparison of Y-90 and Tc-99m MAA images in treatment of liver cancer

Karin Knesaurek; Michael Muzinic; Ash Rafique; Zhuangyu Zhang; Maria DaCosta; Josef Machac


Society of Nuclear Medicine Annual Meeting Abstracts | 2006

Improving PET/CT imaging in Alzheimer's disease studies

Karin Knesaurek; Michael Muzinic; Ash Rafique; Zhuangyu Zhang; Josef Machac

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Josef Machac

Icahn School of Medicine at Mount Sinai

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Karin Knesaurek

Icahn School of Medicine at Mount Sinai

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Zhuangyu Zhang

Icahn School of Medicine at Mount Sinai

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Stanley J. Goldsmith

Long Island Jewish Medical Center

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Ash Rafique

Icahn School of Medicine at Mount Sinai

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Chandranath Sen

Long Island Jewish Medical Center

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Sherif Heiba

Icahn School of Medicine at Mount Sinai

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