Respiratory gated multistatic PET reconstructions to delineate radiotherapy target volume in patients with mobile lung tumors.

Background: PET-CT with F-FDG or other radiopharmaceuticals is a recommended tool to help the delineation of lung cancers candidate to radiotherapy. The motion artifacts caused by respiratory movements are reduced by 4D acquisitions. We introduced an extended reconstruction algorithm (multiple reconstruct register and average [multi-RRA]) which requires much shorter acquisition times than standard 4D PET-CT.

Clinical respiratory motion correction software (reconstruct, register and averaged-RRA), for F-FDG-PET-CT: phantom validation, practical implications and patient evaluation.

Objective: On fluorine-18 fludeoxyglucose (F-FDG) positron emission tomography (PET) CT of pulmonary or hepatic lesions, standard uptake value (SUV) is often underestimated due to patient breathing. The aim of this study is to validate, on phantom and patient data, a motion correction algorithm [reconstruct, register and averaged (RRA)] implemented on a PET-CT system.

Methods: Three phantoms containing five spheres filled with F-FDG and suspended in a water or StyrofoamF-FDG-filled tank to create different contrasts and attenuation environment were acquired on a Discovery GE710.

Bevacizumab enhances efficiency of radiotherapy in a lung adenocarcinoma rodent model: Role of αvβ3 imaging in determining optimal window.

Introduction: Earlier studies indicated that bevacizumab could favorably be combined with radiation. However excessive damage to tumor vasculature can result in radioresistance and clinical data suggest that treatment sequencing may be important when combining bevacizumab with radiation. The aim of this study was to evaluate whether αvβ3 scintigraphic imaging could provide information to determine the optimal combination schedule of bevacizumab and radiotherapy on a lung adenocarcinoma model in mice.