ArticleScientific reports2020
Validation of automated whole-body analysis of metabolic and morphological parameters from an integrated FDG-PET/MRI acquisition.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- A Pre-Trained Model Customization Framework for Accelerated PET/MR Segmentation of Abdominal Fat in Obstructive Sleep Apnea.Diagnostics (Basel, Switzerland) · 2025Article
- A Methodology to Measure Glucose Metabolism by Quantitative Analysis of PET Images.Journal of healthcare informatics research · 2024Article
- Imaging modalities for measuring body composition in patients with cancer: opportunities and challenges.Journal of the National Cancer Institute. Monographs · 2023Review
- An atlas of glucose uptake across the entire human body as measured by the total-body PET/CT scanner: a pilot study.Life metabolism · 2022Article
- Classification of MyocardialRadiology. Artificial intelligence · 2021Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated quantification of tissue morphology and tracer uptake in PET/MR images could streamline the analysis compared to traditional manual methods. To validate a single atlas image segmentation approach for automated assessment of tissue volume, fat content (FF) and glucose uptake (GU) from whole-body [
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Registered trials
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