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NCT04283552

Gated and Non-Gated Dynamic PET/CT Imaging

Terminated NA Results posted Last updated 20 May 2024
What this trial tests

NA trial testing Dynamic PET/CT Imaging in Dynamic PET/CT Imaging in 80 participants. Terminated before completion.

Timeline
29 May 2020
Primary endpoint
10 April 2023
10 April 2023

Quick facts

Lead sponsorWashington University School of Medicine
PhaseNA
StatusTerminated
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposediagnostic
Enrollment80
Start date29 May 2020
Primary completion10 April 2023
Estimated completion10 April 2023
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Washington University School of Medicine

Who can join

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 Component Primary · 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).

GroupValue95% CI
Dynamic PET Imaging80
Quantitative Impacts of Data Motion Correction (OncoFreeze) as Measured by Semi-quantitative Standardized Uptake Value (SUV)-Max 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
GroupValue95% CI
Dynamic PET Imaging10.776.21 – 18.46
Elastic motion correction with blurring utilizing belt gating
GroupValue95% CI
Dynamic PET Imaging10.755.86 – 18.70
Elastic motion correction with blurring utilizing data-driven gating
GroupValue95% CI
Dynamic PET Imaging10.746.04 – 18.66
Ungated
GroupValue95% CI
Dynamic PET Imaging9.005.01 – 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
GroupValue95% CI
Dynamic PET Imaging6.313.97 – 12.08
Elastic motion correction with blurring utilizing belt gating
GroupValue95% CI
Dynamic PET Imaging9.145.59 – 15.87
Elastic motion correction with blurring utilizing data-driven gating
GroupValue95% CI
Dynamic PET Imaging8.895.50 – 17.05
Ungated
GroupValue95% CI
Dynamic PET Imaging7.894.99 – 15.17
Clinical Impacts of Data Motion Correction (OncoFreeze) as Measured by Mean Relative Lesion Number Between Ungated and Belt-gating Optimal Gate Secondary · 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
GroupValue95% CI
Dynamic PET Imaging Ungated1.110 – 9
Dynamic PET/CT Belt-Gating Optimal Gate0.140 – 9
Reader 2
GroupValue95% CI
Dynamic PET Imaging Ungated0.310 – 2
Dynamic PET/CT Belt-Gating Optimal Gate0.140 – 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 Gating Secondary · 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
GroupValue95% CI
Dynamic PET Imaging Ungated1.110 – 9
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Belt Gating1.280 – 9
Reader 2
GroupValue95% CI
Dynamic PET Imaging Ungated0.310 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Belt Gating0.500 – 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 Gating Secondary · 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
GroupValue95% CI
Dynamic PET Imaging Ungated1.110 – 9
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-Driven Gating1.470 – 9
Reader 2
GroupValue95% CI
Dynamic PET Imaging Ungated0.310 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-Driven Gating0.500 – 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 Gating Secondary · 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
GroupValue95% CI
Dynamic PET Imaging Belt-gating Optimal Gate0.140 – 1
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Belt Gating1.280 – 9
Reader 2
GroupValue95% CI
Dynamic PET Imaging Belt-gating Optimal Gate0.140 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Belt Gating0.500 – 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 Gating Secondary · 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
GroupValue95% CI
Dynamic PET Imaging Belt-gating Optimal Gate0.140 – 1
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-driven Gating1.470 – 9
Reader 2
GroupValue95% CI
Dynamic PET Imaging Belt-gating Optimal Gate0.140 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-driven Gating0.500 – 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 Gating Secondary · 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
GroupValue95% CI
Dynamic PET Imaging Elastic Motion Correction With Blurring Utilizing Belt Gating1.280 – 9
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-driven Gating1.470 – 9
Reader 2
GroupValue95% CI
Dynamic PET Imaging Elastic Motion Correction With Blurring Utilizing Belt Gating0.500 – 2
Dynamic PET/CT Elastic Motion Correction With Blurring Utilizing Data-driven Gating1.470 – 9
Repeatability of Dynamic Imaging as Measured by Calculating the Measurement Agreement in Semi-quantitative PET Metrics Between Test and Retest Dynamic Images Secondary · 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
GroupValue95% CI
Dynamic PET Imaging11-32 – 54
PS-peak
GroupValue95% CI
Dynamic PET Imaging15-30 – 59
SUV-max
GroupValue95% CI
Dynamic PET Imaging473 – 91
SUV-peak
GroupValue95% CI
Dynamic PET Imaging26-22 – 75
cSUV-max
GroupValue95% CI
Dynamic PET Imaging-6-53 – 41
cSUV-peak
GroupValue95% CI
Dynamic PET Imaging-27-77 – 23
SUR-max
GroupValue95% CI
Dynamic PET Imaging8148 – 114
SUR-peak
GroupValue95% CI
Dynamic PET Imaging6323 – 102
Metabolic Rate of Images Secondary · 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
GroupValue95% CI
Dynamic PET Imaging1.191 – 2
PS-Late Reader 1
GroupValue95% CI
Dynamic PET Imaging3.953 – 4
PS-Early Reader 2
GroupValue95% CI
Dynamic PET Imaging2.141 – 4
PS-Late Reader 2
GroupValue95% CI
Dynamic PET Imaging3.953 – 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.

Dynamic PET Imaging
Serious: 0/80 (0%)
Deaths: 0/80
Other adverse events (1 terms — click to expand)

ReactionSystemDynamic PET Imaging
Erythema multiformeSkin and subcutaneous tissue disorders

Data from ClinicalTrials.gov NCT04283552 adverse events section.

Sponsor's own description

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):

  1. Quantitative Assessments of Tumor Activity in a General Oncologic PET/CT Population: Which Metric Minimizes Tracer Uptake Time Dependence?
    Ince S, Laforest R, Itani M, Prasad V, et al · · 2024 · cited 1× · PMID 39142828 · DOI 10.2967/jnumed.123.266469

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