Publications by authors named "Ahmed Mohamed Zaher"

Purpose: To examine the frequency and significance of visualization of popliteal nodes during lymphoscintigraphy for the investigation of lower extremity swelling.

Materials And Methods: Technetium-99m-labeled nanocolloid was injected subcutaneously in the first web spaces of both feet of 90 patients (24 males, 66 females; age range, 4-70 years) who had clinical evidence of lower limb lymphedema and were referred for routine lymphoscintigraphy; imaging was performed 5, and 90 minutes after injection without any vigorous exercise between the injection and imaging.

Results: According to the scan findings, patients were divided into two groups; group I included 63 patients without popliteal nodes visualization on scanning, and group II included 27 patients with positive popliteal nodes uptake.

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Introduction: Follicular thyroid carcinoma (FTC) is the second most common type of thyroid cancer. Genetic studies have demonstrated that the loss of expression and function of Cdk inhibitor p27 leads to the development of multiple-organ hyperplasia and malignancy, including thyroid carcinoma.

Aim Of Work: (1) To assess the prognostic value of the quantitative expression of p27 in correlation with clinicopathologic prognostic indicators in FTC.

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Synopsis of recent research by authors named "Ahmed Mohamed Zaher"

  • - Ahmed Mohamed Zaher's research focuses on the diagnosis and prognosis in lymphatic and thyroid conditions, particularly investigating the visualization of popliteal lymph nodes in lymphedema and the prognostic role of p27 in follicular thyroid carcinoma!* - In his study on lymphedema, Zaher found a notable differentiation in patient outcomes based on the visualization of popliteal nodes during radionuclide lymphoscintigraphy, indicating potential implications for treatment strategies!* - His work on follicular thyroid carcinoma highlights the correlation between p27 expression levels and clinical prognostic indicators, suggesting that p27 could be a valuable tool for modifying risk stratification in thyroid cancer patients!*