Observational studyJournal of nuclear medicine : official publication, Society of Nuclear Medicine2016
Multicenter Clinical Trials Using 18F-FDG PET to Measure Early Response to Oncologic Therapy: Effects of Injection-to-Acquisition Time Variability on Required Sample Size.
Observational study in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Whole-Body [Tomography (Ann Arbor, Mich.) · 2021Trial
- A virtual clinical trial comparing static versus dynamic PET imaging in measuring response to breast cancer therapy.Physics in medicine and biology · 2017Trial
- Framing protocol optimization in oncological Patlak parametric imaging with uKinetics.EJNMMI physics · 2023Article
- Quality improvements in radiation oncology clinical trials.Frontiers in oncology · 2023Review
- Principles of Tracer Kinetic Analysis in Oncology, Part II: Examples and Future Directions.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Article
- Normal values forEJNMMI research · 2022Article
- Principles of Tracer Kinetic Analysis in Oncology, Part I: Principles and Overview of Methodology.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Article
- Provider Engagement in Radiation Oncology Data Science: Workshop Report.JCO clinical cancer informatics · 2020Article
- Association of Tumor [Molecular imaging and biology · 2019Article
- Test-Retest Reproducibility ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019Article
- Very Early Response Evaluation by PET/MR in Patients with Lung Cancer-Timing and Feasibility.Diagnostics (Basel, Switzerland) · 2019Article
- The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective.International journal of radiation oncology, biology, physics · 2018Review
- Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over staticPhysics in medicine and biology · 2018Article
- Repeatability of SUV in OncologicJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017Review
- Getting the Most out of 18F-FDG PET Scans: The Predictive Value of 18F-FDG PET-Derived Blood Flow Estimates for Breast Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2016Article
- Diagnostic FDG and FDOPA positron emission tomography scans distinguish the genomic type and treatment outcome of neuroblastoma.Oncotarget · 2016Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
unlabelledUptake time (interval between tracer injection and image acquisition) affects the SUV measured for tumors in (18)F-FDG PET images. With dissimilar uptake times, changes in tumor SUVs will be under- or overestimated. This study examined the influence of uptake time on tumor response assessment using a virtual clinical trials approach.
methodsTumor kinetic parameters were estimated from dynamic (18)F-FDG PET scans of breast cancer patients and used to simulate time-activity curves for 45-120 min after injection. Five-minute uptake time frames followed 4 scenarios: the first was a standardized static uptake time (the SUV from 60 to 65 min was selected for all scans), the second was uptake times sampled from an academic PET facility with strict adherence to standardization protocols, the third was a distribution similar to scenario 2 but with greater deviation from standards, and the fourth was a mixture of hurried scans (45- to 65-min start of image acquisition) and frequent delays (58- to 115-min uptake time). The proportion of out-of-range scans (<50 or >70 min, or >15-min difference between paired scans) was 0%, 20%, 44%, and 64% for scenarios 1, 2, 3, and 4, respectively. A published SUV correction based on local linearity of uptake-time dependence was applied in a separate analysis. Influence of uptake-time variation was assessed as sensitivity for detecting response (probability of observing a change of ≥30% decrease in (18)F-FDG PET SUV given a true decrease of 40%) and specificity (probability of observing an absolute change of <30% given no true change).
resultsSensitivity was 96% for scenario 1, and ranged from 73% for scenario 4 (95% confidence interval, 70%-76%) to 92% (90%-93%) for scenario 2. Specificity for all scenarios was at least 91%. Single-arm phase II trials required an 8%-115% greater sample size for scenarios 2-4 than for scenario 1. If uptake time is known, SUV correction methods may raise sensitivity to 87%-95% and reduce the sample size increase to less than 27%.
conclusionUptake-time deviations from standardized protocols occur frequently, potentially decreasing the performance of (18)F-FDG PET response biomarkers. Correcting SUV for uptake time improves sensitivity, but algorithm refinement is needed. Stricter uptake-time control and effective correction algorithms could improve power and decrease costs for clinical trials using (18)F-FDG PET endpoints.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.