Gennady Lievshitz
Tel Aviv Sourasky Medical Center
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Publication
Featured researches published by Gennady Lievshitz.
European Journal of Nuclear Medicine and Molecular Imaging | 2006
Hedva Lerman; Ur Metser; Gennady Lievshitz; F. Sperber; S. Shneebaum; Einat Even-Sapir
PurposeLymph node status is a major factor in determining the stage, appropriate therapy and outcome in patients with breast cancer. It is therefore of clinical importance to accurately identify all sentinel nodes (SNs) for each individual tumour before surgery. The purpose of this study was to assess the role of SPECT-CT lymphoscintigraphy in SN identification in patients with breast cancer.MethodsLymphoscintigraphy comprising planar and SPECT-CT acquisition was performed in 157 consecutive patients with breast cancer (mean age 54.7±10.6, range 27–81 years) with a palpable mass (n=100), with a non-palpable mass (n=52) or post lumpectomy (n=5). Planar and SPECT-CT images were interpreted separately and the two imaging techniques were compared with respect to their ability to identify hot nodes.ResultsPlanar imaging alone was negative for identification of hot nodes in 15% of the patients. SPECT-CT alone was negative in 10% and both techniques were negative in 9% of the patients. Forty-six of the total of 361 (13%) hot nodes identified by lymphoscintigraphy were detected only on SPECT-CT, including 21 nodes obscured by the scattered radiation from the injection site, nine adjacent nodes misinterpreted on planar images as a single node and 16 nodes which were missed on planar images and detected on SPECT data. SPECT-CT detected additional sites of drainage unexpected on planar images, including axillary (n=23 patients), internal mammary (n=5 patients), interpectoral (n=3 patients) and intramammary (n=2 patients) lymph node sites. Fourteen of the 329 (4%) hot lesions seen on planar images were false positive non-nodal sites of uptake that were accurately assessed by SPECT-CT and further validated by surgery. In a single patient, SPECT-CT was negative while planar images identified the SN.ConclusionSPECT-CT may improve the preoperative localisation of draining nodes in patients with breast cancer. It may detect hot nodes missed by planar imaging, exclude non-nodal false positive sites of uptake and accurately localise axillary and extra-axillary nodes.
European Journal of Nuclear Medicine and Molecular Imaging | 2006
Einat Even-Sapir; Hedva Lerman; Mordechai Gutman; Gennady Lievshitz; Limor Zuriel; Aaron Polliack; Moshe Inbar; Ur Metser
PurposeThe purpose of the study was to determine the general and organ-specific presentation of incidental primary tumours on PET-CT.MethodsPET-CT reports of 2,360 consecutive patients were reviewed and revealed 156 lesions suspicious for a new unexpected malignancy, in 151 patients. One hundred and twenty of these lesions, in 115 patients, were further assessed, by biopsy (n=84 patients) or by clinical and imaging follow-up (n=31 patients) for a mean of 17±4 months (range 12–25 months).ResultsForty-four unexpected malignancies were found in 41 of the study patients (1.7%). Twenty-seven of the 44 incidental tumours were identified on the basis of their location, which was uncommon for metastasis of the known malignancy. Eight were detected as a result of either the difference in FDG avidity of the known malignancy and the incidental lesion or the presence of an incidental non-FDG-avid mass on the CT part of the study. Four tumours were synchronous carcinomas in patients with known colorectal malignancy, three were identified by virtue of the discordant response to treatment compared with the known primary tumour and two were detected as new sites of disease after a prolonged disease-free period. There was organ variability in the positive predictive values (PPV) of PET-CT findings for incidental primary malignancy or pre-malignant lesions: 62% for colonic lesions, 54% for lung lesions and 24% for thyroid lesions.ConclusionIncidental primary tumours may be identified on PET-CT based on their location, FDG avidity, response to therapy and time of appearance. The PET and CT parts of the study appear to complement each other and assist in identification of these incidental tumours.
Investigative Radiology | 2005
Jacob S. Toaff; Ur Metser; Maya Gottfried; Odelia Gur; Maher E. Deeb; Gennady Lievshitz; Diego Mercer; Einat Even-Sapir
Objectives:We sought to define an accurate diagnostic approach for differentiating benign from malignant pleural effusion on positron emission tomography–computed tomography (PET-CT). Material and Methods:PET-CT studies of 31 patients with primary extrapleural malignancy and pleural effusion were reviewed retrospectively. CT parameters assessed were size and density (Hounsfield units, or HU) of the effusion and density (HU) and morphology of any solid pleural abnormality. Interpretation of PET data included review of the attenuation-corrected and nonattenuation-corrected images. Results:PET-CT parameters that were found to be significant in identifying malignant pleural effusion included focal increased uptake of 18-fluorodeoxyglucose in the pleura (P < 0.0001) and the presence of solid pleural abnormalities on CT (P < 0.002): the sensitivity was 86% and 71%, respectively, and the specificity was 90% for each of the 2 parameters. A PET-CT pattern composed of pleural uptake and increased effusion activity on nonattenuation-corrected images was associated with sensitivity of 95%, specificity of 80%, positive predictive value of 91%, negative predictive value of 89%, and accuracy of 90%. Conclusions:On PET-CT, the presence of concomitant pleural abnormalities is the most accurate criterion in determining the malignant nature of pleural effusion.
The Journal of Nuclear Medicine | 2006
Einat Even-Sapir; Ur Metser; Eyal Mishani; Gennady Lievshitz; Hedva Lerman; Ilan Leibovitch
The Journal of Nuclear Medicine | 2004
Einat Even-Sapir; Ur Metser; Gideon Flusser; Limor Zuriel; Yehuda Kollender; Hedva Lerman; Gennady Lievshitz; Ilan G. Ron; Eyal Mishani
The Journal of Nuclear Medicine | 2006
Ur Metser; Elka Miller; Hedva Lerman; Gennady Lievshitz; Shmuel Avital; Einat Even-Sapir
The Journal of Nuclear Medicine | 2004
Hedva Lerman; Ur Metser; Dan Grisaru; Ami Fishman; Gennady Lievshitz; Einat Even-Sapir
The Journal of Nuclear Medicine | 2007
Hedva Lerman; Gennady Lievshitz; Osnat Zak; Ur Metser; Shlomo Schneebaum; Einat Even-Sapir
The Journal of Nuclear Medicine | 2004
Ur Metser; Hedva Lerman; Annat Blank; Gennady Lievshitz; Felix Bokstein; Einat Even-Sapir
The Journal of Nuclear Medicine | 2005
Ur Metser; Elka Miller; Ada Kessler; Hedva Lerman; Gennady Lievshitz; Ran Oren; Einat Even-Sapir