18 and older, any sex, with Dynamic PET/CT Imaging. Patients with the condition only — healthy volunteers not accepted.
Results — posted to ClinicalTrials.gov
Per-arm endpoint measurements with 95% confidence intervals where reported. Source: trial results section.
Feasibility of Rapid, Whole-body Dynamic PET Imaging as Measured by Number of Participants Who Successfully Completed the Study Imaging ComponentPrimary· At time of scan (day 1)
-Successful completion of the study imaging component will be defined as: (1) patient remains on scanner for the full dynamic phase of PET imaging prior to the standard of care PET/CT and (2) automated scanner software is able to successfully generate valid parametric maps (requires at least three consecutive whole-body PET acquisitions without substantial motion between acquisitions).
Group
Value
95% CI
Dynamic PET Imaging
80
Quantitative Impacts of Data Motion Correction (OncoFreeze) as Measured by Semi-quantitative Standardized Uptake Value (SUV)-MaxSecondary· At the time of scan (Day 1)
Subjects underwent standard-of-care (SOC) PET acquisition with a respiratory-gating belt. Ungated (UG), belt-gating-derived optimal gate (BG-OG), EMCD utilizing belt gating (BG-EMCD), and EMCD utilizing data-driven gating (DDG-EMCD) images were reconstructed. Tracer-avid lesions in the lower chest or upper abdomen were segmented. Quantitative metrics were extracted.
Belt-gating optimal gate
Group
Value
95% CI
Dynamic PET Imaging
10.77
6.21 – 18.46
Elastic motion correction with blurring utilizing belt gating
Group
Value
95% CI
Dynamic PET Imaging
10.75
5.86 – 18.70
Elastic motion correction with blurring utilizing data-driven gating
Group
Value
95% CI
Dynamic PET Imaging
10.74
6.04 – 18.66
Ungated
Group
Value
95% CI
Dynamic PET Imaging
9.00
5.01 – 15.97
Quantitative Impacts of Data Motion Correction (OncoFreeze) as Measured by Lesion Contrast-to-noise Ratios (CNRs)Secondary· At the time of scan (Day 1)
Subjects underwent standard-of-care (SOC) PET acquisition with a respiratory-gating belt. Ungated (UG), belt-gating-derived optimal gate (BG-OG), EMCD utilizing belt gating (BG-EMCD), and EMCD utilizing data-driven gating (DDG-EMCD) images were reconstructed. Tracer-avid lesions in the lower chest or upper abdomen were segmented. Quantitative metrics were extracted.
Belt-gating optimal gate
Group
Value
95% CI
Dynamic PET Imaging
6.31
3.97 – 12.08
Elastic motion correction with blurring utilizing belt gating
Group
Value
95% CI
Dynamic PET Imaging
9.14
5.59 – 15.87
Elastic motion correction with blurring utilizing data-driven gating
Group
Value
95% CI
Dynamic PET Imaging
8.89
5.50 – 17.05
Ungated
Group
Value
95% CI
Dynamic PET Imaging
7.89
4.99 – 15.17
Clinical Impacts of Data Motion Correction (OncoFreeze) as Measured by Mean Relative Lesion Number Between Ungated and Belt-gating Optimal GateSecondary· At the time of scan (Day 1)
* Will be assessed by Reader 1 and Reader 2 by comparing motion-corrected images derived from OncoFreeze with standard static non-gated PET images and conventionally gated PET images.
* OncoFreeze is a novel approach to PET motion correction that utilizes 100% of events, which are corrected to an optimal gate image utilizing an optical flow algorithm, creating the potential for motion corrected images without increasing image noise.
Reader 1
Group
Value
95% CI
Dynamic PET Imaging Ungated
1.11
0 – 9
Dynamic PET/CT Belt-Gating Optimal Gate
0.14
0 – 9
Reader 2
Group
Value
95% CI
Dynamic PET Imaging Ungated
0.31
0 – 2
Dynamic PET/CT Belt-Gating Optimal Gate
0.14
0 – 2
Clinical Impacts of Data Motion Correction (OncoFreeze) as Measured by Mean Relative Lesion Number Between Ungated and Elastic Motion Correction With Blurring Utilizing Belt GatingSecondary· At the time of scan (Day 1)
* Will be assessed by Reader 1 and Reader 2 by comparing motion-corrected images derived from OncoFreeze with standard static non-gated PET images and conventionally gated PET images.
* OncoFreeze is a novel approach to PET motion correction that utilizes 100% of events, which are corrected to an optimal gate image utilizing an optical flow algorithm, creating the potential for motion corrected images without increasing image noise.
Reader 1
Group
Value
95% CI
Dynamic PET Imaging Ungated
1.11
0 – 9
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Belt Gating
1.28
0 – 9
Reader 2
Group
Value
95% CI
Dynamic PET Imaging Ungated
0.31
0 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Belt Gating
0.50
0 – 2
Clinical Impacts of Data Motion Correction (OncoFreeze) as Measured by Mean Relative Lesion Number Between Ungated and Elastic Motion Correction With Blurring Utilizing Data-driven GatingSecondary· At the time of scan (Day 1)
* Will be assessed by Reader 1 and Reader 2 by comparing motion-corrected images derived from OncoFreeze with standard static non-gated PET images and conventionally gated PET images.
* OncoFreeze is a novel approach to PET motion correction that utilizes 100% of events, which are corrected to an optimal gate image utilizing an optical flow algorithm, creating the potential for motion corrected images without increasing image noise.
Reader 1
Group
Value
95% CI
Dynamic PET Imaging Ungated
1.11
0 – 9
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-Driven Gating
1.47
0 – 9
Reader 2
Group
Value
95% CI
Dynamic PET Imaging Ungated
0.31
0 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-Driven Gating
0.50
0 – 2
Clinical Impacts of Data Motion Correction (OncoFreeze) as Measured by Mean Relative Lesion Number Between Belt-gating Optimal Gate and Elastic Motion Correction With Blurring Utilizing Belt GatingSecondary· At the time of scan (Day 1)
* Will be assessed by Reader 1 and Reader 2 comparing motion-corrected images derived from OncoFreeze with standard static non-gated PET images and conventionally gated PET images.
* OncoFreeze is a novel approach to PET motion correction that utilizes 100% of events, which are corrected to an optimal gate image utilizing an optical flow algorithm, creating the potential for motion corrected images without increasing image noise.
Reader 1
Group
Value
95% CI
Dynamic PET Imaging Belt-gating Optimal Gate
0.14
0 – 1
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Belt Gating
1.28
0 – 9
Reader 2
Group
Value
95% CI
Dynamic PET Imaging Belt-gating Optimal Gate
0.14
0 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Belt Gating
0.50
0 – 2
Clinical Impacts of Data Motion Correction (OncoFreeze) as Measured by Mean Relative Lesion Number Between Belt-gating Optimal Gate and Elastic Motion Correction With Blurring Utilizing Data-driven GatingSecondary· At the time of scan (Day 1)
* Will be assessed Reader 1 and Reader 2 by comparing motion-corrected images derived from OncoFreeze with standard static non-gated PET images and conventionally gated PET images.
* OncoFreeze is a novel approach to PET motion correction that utilizes 100% of events, which are corrected to an optimal gate image utilizing an optical flow algorithm, creating the potential for motion corrected images without increasing image noise.
Reader 1
Group
Value
95% CI
Dynamic PET Imaging Belt-gating Optimal Gate
0.14
0 – 1
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-driven Gating
1.47
0 – 9
Reader 2
Group
Value
95% CI
Dynamic PET Imaging Belt-gating Optimal Gate
0.14
0 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-driven Gating
0.50
0 – 2
Clinical Impacts of Data Motion Correction (OncoFreeze) as Measured by Mean Relative Lesion Number Between Elastic Motion Correction With Blurring Utilizing Belt Gating and Elastic Motion Correction With Blurring Utilizing Data-driven GatingSecondary· At the time of scan (Day 1)
* Will be assessed by Reader 1 and Reader 2 by comparing motion-corrected images derived from OncoFreeze with standard static non-gated PET images and conventionally gated PET images.
* OncoFreeze is a novel approach to PET motion correction that utilizes 100% of events, which are corrected to an optimal gate image utilizing an optical flow algorithm, creating the potential for motion corrected images without increasing image noise.
Reader 1
Group
Value
95% CI
Dynamic PET Imaging Elastic Motion Correction With Blurring Utilizing Belt Gating
1.28
0 – 9
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-driven Gating
1.47
0 – 9
Reader 2
Group
Value
95% CI
Dynamic PET Imaging Elastic Motion Correction With Blurring Utilizing Belt Gating
0.50
0 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-driven Gating
1.47
0 – 9
Repeatability of Dynamic Imaging as Measured by Calculating the Measurement Agreement in Semi-quantitative PET Metrics Between Test and Retest Dynamic ImagesSecondary· Day 1 and approximately 1 week later
* Standardized uptake value (SUV)-max, SUV-peak, Uptake time-corrected SUV (cSUV), Standardized uptake ratio (SUR), Uptake time-corrected standardized uptake ratio (cSUR), Patlak slope (PS)-max, and PS-peak were analyzed.
* Test-retest repeatability of quantitative metrics based on the PS versus the SUV among lesions and normal organs on oncologic \[18F\]FDG-PET/CT.
* Repeatability was assessed via mean test-retest percent changes \[T-RT %Δ\]
PS-max
Group
Value
95% CI
Dynamic PET Imaging
11
-32 – 54
PS-peak
Group
Value
95% CI
Dynamic PET Imaging
15
-30 – 59
SUV-max
Group
Value
95% CI
Dynamic PET Imaging
47
3 – 91
SUV-peak
Group
Value
95% CI
Dynamic PET Imaging
26
-22 – 75
cSUV-max
Group
Value
95% CI
Dynamic PET Imaging
-6
-53 – 41
cSUV-peak
Group
Value
95% CI
Dynamic PET Imaging
-27
-77 – 23
SUR-max
Group
Value
95% CI
Dynamic PET Imaging
81
48 – 114
SUR-peak
Group
Value
95% CI
Dynamic PET Imaging
63
23 – 102
Metabolic Rate of ImagesSecondary· At the time of scan (Day 1)
-Will help to determine the optimal post-injection time period for dynamic PET imaging for Early (35-50 min post-injection) and Late (75-90 min post-injection) Patlak slope (PS) analysis. Reader 1 and Reader 2 used a standard Likert score from 0-4 with 1 being the worst and 4 being the best. A higher score indicated the image was easier to read.
PS-Early Reader 1
Group
Value
95% CI
Dynamic PET Imaging
1.19
1 – 2
PS-Late Reader 1
Group
Value
95% CI
Dynamic PET Imaging
3.95
3 – 4
PS-Early Reader 2
Group
Value
95% CI
Dynamic PET Imaging
2.14
1 – 4
PS-Late Reader 2
Group
Value
95% CI
Dynamic PET Imaging
3.95
3 – 4
Adverse events — posted to ClinicalTrials.gov
Time frame: Adverse events and all-cause mortality were collected on the day of the PET/CT..
Reporting threshold: 0%.
Adverse-event reports describe events observed during the trial — not all are caused by the drug.
The goal of this study is to see how the images collected during the first hour compare with the routine images collected as part of the clinical scan.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
Sponsor: as reported to ClinicalTrials.gov by Washington University School of Medicine
Last refreshed: 20 May 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04283552.