نتایج جستجو برای: 177lu

تعداد نتایج: 759  

Journal: :Annals of Oncology 2022

PSMA-TRT is approved for mCRPC based upon demonstrated overall survival (OS) advantage. However, even after pre-selection by PSMA imaging, not all patients respond (54% without PSA50 response in the VISION study). In addition to dose (which likely related both target expression and amount of radioactivity administered), prognostic genomic factors that may relate radiosensitivity exist. Collecti...

2017
Chinna Naik Sandip Basu

Neuroendocrine tumor (NET) occurring in association with other endocrine syndromes forms a distinct entity. The aim was to assess the therapy response profile of the routine peptide receptor radionuclide therapy (PRRT) in this relatively uncommon but clinically challenging subgroup of patients. A retrospective analysis was undertaken from the case records from those who were treated with 177Lu-...

2017
Carlos F. Uribe Pedro L. Esquinas Jesse Tanguay Marjorie Gonzalez Emilie Gaudin Jean-Mathieu Beauregard Anna Celler

BACKGROUND The aim of the study is to assess accuracy of activity quantification of 177Lu studies performed according to recommendations provided by the committee on Medical Internal Radiation Dose (MIRD) pamphlets 23 and 26. The performances of two scatter correction and three segmentation methods were compared. Additionally, the accuracy of tomographic and planar methods for determination of ...

2017
Hojjat Ahmadzadehfar Stefanie Zimbelmann Anna Yordanova Rolf Fimmers Stefan Kürpig Elisabeth Eppard Florian C. Gaertner Xiao Wei Stefan Hauser Markus Essler

Radioligand therapy with 177Lu-PSMA-617 is an innovative and effective therapy for castrate-resistant metastatic prostate cancer patients. For patients with symptomatic bone metastases without visceral metastases, the guidelines recommend radionuclide therapy with 223Ra-dichloride as a single therapeutic agent or in combination with hormone therapy. The aim of this study was to evaluate the saf...

Journal: :EJNMMI research 2021

Abstract Purpose In this work, we address image segmentation in the scope of dosimetry using deep learning and make three main contributions: (a) to extend optimize architecture an existing convolutional neural network (CNN) order obtain a fast, robust accurate computed tomography (CT)-based organ method for kidneys livers; (b) train CNN with inhomogeneous set CT scans validate daily dosimetry;...

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