Bone Lesion
Conditions
Brief summary
This study aimed to determine whether the whole-body bone Single Photon Emission Computed Tomography (SPECT) recording times of around 10 minutes, routinely provided by a high-sensitivity 360 degrees cadmium and zinc telluride (CZT) camera, can be further reduced by a deep learning noise reduction (DLNR) algorithm.
Detailed description
This study aimed to determine the extent to which fast whole-body bone-SPECT recording times, routinely obtained with a high-sensitivity 360 degrees CZT-camera and rather low injected activities, can be further reduced using the DLNR algorithm.
Interventions
DIAGNOSTIC_TESTWhole-body bone single photon emission tomography (SPECT) for detection or follow-up of bone metastasis
Cancer patients referred to fast whole-body bone for detection or follow-up of bone metastasis were retrospectively included in this study.
Sponsors
Central Hospital, Nancy, France
Study design
Observational model
OTHER
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 95 Years
Healthy volunteers
No
Inclusion criteria
* patients referred to fast whole-body bone single photon emission tomography for detection or follow-up of bone metastasis
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Assess a dedicated deep learning noise reduction algorithm | one day | A deep learning noise reduction algorithm was applied on whole-body images recorded |
Countries
France
Outcome results
None listed