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Discovery d670

Manufactured by GE Healthcare

The Discovery D670 is a laboratory equipment product from GE Healthcare. It is a diagnostic imaging system designed for a range of applications in medical research and clinical settings. The core function of the Discovery D670 is to provide high-quality imaging capabilities to support various diagnostic and research activities.

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2 protocols using discovery d670

1

MIBG and MFBG PET Imaging for Neuroendocrine Tumors

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All patients also underwent MIBG imaging, with planar and SPECT tomographic imaging performed delayed at 21 ± 2 h (range 17–24 hour) after injection of 259 ± 92 MBq (range 151–392 MBq) and within 7 ± 7 days (range < 1–23 days) prior to MFBG PET. The scans were performed on the Philips Precedence (Koninklijke Philips N.V.) or Discovery D670 (GE Healthcare, Inc.) and included whole-body planar imaging and SPECT/CT of the chest, abdomen, and pelvis. SPECT data were acquired for a total of 40–50 minutes (20–25 sec per step, 120 steps of 3° each).
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2

Triple-Phase Contrast-Enhanced Imaging Protocol

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Triple-phase contrast-enhancement CT (GE Healthcare LightSpeed VCT) and T2-weighted fat-saturated MR images (GE Healthcare Signa 3T) were acquired 11-48 d before treatment (baseline), SPECT/ CT images were acquired 1 d after treatment, and follow-up CT and MR images were acquired 8-12 wk later. Manual registration of baseline CT and MR images to SPECT/CT was performed using Hybrid-Viewer software (version 2.6F; Hermes). SPECT/CT scans were acquired on a dual-head g-camera (GE Healthcare Discovery D670) by imaging bremsstrahlung radiation with an energy window of 50-150 keV using a medium-energy general-purpose collimator, a 128 • 128 matrix, 90 views, and 20 s per view. The GE Healthcare default settings were used for SPECT/CT data reconstruction (scatter correction off, resolution recovery on, and attenuation correction on). Images were processed using Xeleris (version 3.0; GE Healthcare) with the default ordered-subset expectation maximization settings (2 iterations and 10 subsets).
Voxel-based gross tumor volumes were determined by crossreferencing CT sections with MR images to localize tumor boundaries and guide CT segmentation at baseline and at the 2 to 3 mo follow-up. To assess outcome, response was based on vRECIST, comparing relative change in tumor volume, defined as the ratio of the difference between tumor volume at baseline and after treatment to the baseline volume
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