Trial reportEuropean journal of nuclear medicine and molecular imaging2023
An artificial intelligence-driven image quality assessment system for whole-body [
Trial report in European journal of nuclear medicine and molecular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Enhancing PET/CT target assessment with porous 3D printed grids: a pilot study.Physical and engineering sciences in medicine · 2026Article
- Automated contrast-to-noise ratio analysis in chest CT: validation of an open-source segmentation approach.Insights into imaging · 2026Article
- From classical machine learning to emerging foundation models: review on multimodal data integration for cancer research.Artificial intelligence review · 2026Article
- Deep learning-based no-reference image quality assessment framework for Cryptosporidium spp. and Giardia spp.PloS one · 2026Article
- Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank-Based Ratings.Journal of magnetic resonance imaging : JMRI · 2025Article
- A fully automated, expert-perceptive image quality assessment system for whole-body [18F]FDG PET/CT.EJNMMI research · 2025Article
- Impact of a deep progressive reconstruction algorithm on low-dose or fast-scan PET image quality and Deauville score in patients with lymphoma.EJNMMI physics · 2025Article
- Image quality assessment in spine surgery: a comparison of intraoperative CBCT and postoperative MDCT.Acta neurochirurgica · 2025Article
- Review
- Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study.International journal of general medicine · 2025Article
- [68Ga]Ga-FAPI-46 PET/CT for Staging Suspected/Confirmed Lung Cancer: Results on the Surgical Cohort Within a Monocentric Prospective Trial.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Early detection of anthracycline-induced cardiotoxicity using [European journal of nuclear medicine and molecular imaging · 2024Article
- Predicting T-Cell Lymphoma in Children FromJournal of imaging informatics in medicine · 2024Article
- Application progress of artificial intelligence in tumor diagnosis and treatment.Frontiers in artificial intelligence · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeImage quality control is a prerequisite for applying PET/CT. This study aimed to develop an artificial intelligence-driven real-time and accurate whole-body [
methodsThis study included 173 patients (age, 59 ± 12 years; 66.3% males) with whole-body [
resultsThe physicians demonstrated good inter- and intra-rater subjective assessment agreement, with kappa coefficients (R1a vs. R2a, R1a vs. R1b, R2a vs. R2b, and R1a vs. R2b) of 0.78, 0.77, 0.76, and 0.80. The IQA-CNNs and R1 or R2 agreed in the subjective assessments, with kappa coefficients of 0.79 and 0.78. IQA-CNNs and R1 or R2 also agreed in their objective image quality assessment (ICC > 0.60). The IQA-CNNs evaluation speed was 200 times faster than the manual assessment.
conclusionAn automated system for rapid assessment of [
Indexed as
Identifiers
36529840What 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.