ArticleEJNMMI research2020
Kinetic modeling of
Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
22 citing papers in PubMed, 34 citations in OpenAlex.
- CXCR4-targeted PET imaging of glioblastoma using [EJNMMI radiopharmacy and chemistry · 2026Article
- Assessing PSMA Receptor Availability Using 68Ga-PSMA-11 PET/CT Following 177Lu-PSMA-617 Therapy Administration.Clinical nuclear medicine · 2026Article
- New Approaches in Radiotherapy.Cancers · 2025Review
- Implementation of positron emission tomography radiopharmaceuticals labeled with Gallium-68 in a hospital radiopharmacy: experience with more than 7,500 patients.Einstein (Sao Paulo, Brazil) · 2025Article
- Dual-time-point dynamicAnnals of nuclear medicine · 2024Article
- A Comparison of Arterial Input Function Interpolation Methods for Patlak Plot Analysis ofIEEE transactions on medical imaging · 2024Article
- Determining the optimal pharmacokinetic modelling and simplified quantification method of [European journal of nuclear medicine and molecular imaging · 2024Article
- Combined whole-body dynamic and static PET/CT with low-dose [European journal of nuclear medicine and molecular imaging · 2024Article
- First-in-human study of PSMA-targeting agent, [European journal of nuclear medicine and molecular imaging · 2024Article
- Assessing dynamic metabolic heterogeneity in prostate cancer patients via total-body [European journal of nuclear medicine and molecular imaging · 2024Article
- Comparison of tracer kinetic models forEJNMMI research · 2024Article
- Comparison of parametric imaging and SUV imaging with [European journal of nuclear medicine and molecular imaging · 2024Article
- Comparison of Tracer Kinetic Models for 68Ga-PSMA-11 PET in Intermediate Risk Primary Prostate Cancer Patients.Research square · 2023Article
- Direct Patlak Reconstruction of [International journal of molecular sciences · 2023Article
- Multiparametric dynamic whole-body PSMA PET/CT using [EJNMMI research · 2023Article
- Radiochemical and biological assessments of a PSMA-I&S cold kit for fast and inexpensiveFrontiers in chemistry · 2023Article
- Principles of Tracer Kinetic Analysis in Oncology, Part II: Examples and Future Directions.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Article
- Influences on PET Quantification and Interpretation.Diagnostics (Basel, Switzerland) · 2022Review
- Correlation Between Quantitative PSMA PET Parameters and Clinical Risk Factors in Non-Metastatic Primary Prostate Cancer Patients.Frontiers in oncology · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundThe positron emission tomography (PET) ligand
resultsFifteen patients with histologically proven primary prostate cancer underwent a 60-min dynamic
conclusions
Indexed as
Identifiers
What OpenQuestion holds
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.