ArticlePhysics in medicine and biology2018
Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static
Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05374564 (Parametric Cardiac 18F-flutemetamol PET Imaging in ATTR Cardiomyopathy), which is not on this map. Cited by 15 papers.
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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.
Parametric Cardiac 18F-flutemetamol PET Imaging in ATTR Cardiomyopathy
Who cites it
15 citing papers in PubMed.
- Use of relative Patlak plot Ki' images as an alternative to standard Patlak plot Ki images in clinical practice.EJNMMI research · 2025Article
- Leveraging machine learning with dynamic 18F-FDG PET/CT: integrating metabolic and flow features for lung cancer differential diagnosis.European journal of nuclear medicine and molecular imaging · 2025Article
- Self-supervised neural network for Patlak-based parametric imaging in dynamic [European journal of nuclear medicine and molecular imaging · 2025Article
- A deep learning method for total-body dynamic PET imaging with dual-time-window protocols.European journal of nuclear medicine and molecular imaging · 2025Article
- Clinical feasibility study of early 30-minute dynamic FDG-PET scanning protocol for patients with lung lesions.EJNMMI physics · 2024Article
- MCP-Net: Introducing Patlak Loss Optimization to Whole-body Dynamic PET Inter-frame Motion Correction.IEEE transactions on medical imaging · 2023Article
- Diagnostic Performance of Dynamic Whole-Body Patlak [Journal of clinical medicine · 2023Article
- Generation of Whole-Body FDG ParametricIEEE transactions on radiation and plasma medical sciences · 2023Article
- Deep learning-based dynamic PET parametric KEuropean radiology · 2023Article
- Inter-pass motion correction for whole-body dynamic PET and parametric imaging.IEEE transactions on radiation and plasma medical sciences · 2023Article
- Comparison between a dual-time-window protocol and other simplified protocols for dynamic total-bodyEJNMMI physics · 2022Article
- Short-time-window Patlak imaging using a population-based arterial input function and optimized Bayesian penalized likelihood reconstruction: a feasibility study.EJNMMI research · 2022Article
- Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network.Medical image analysis · 2022Article
- Dynamic FDG-PET imaging for differentiating metastatic from non-metastatic lymph nodes of lung cancer.Frontiers in oncology · 2022Article
- Improved Clinical Workflow for Whole-Body Patlak Parametric Imaging Using Two Short Dynamic Acquisitions.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Lung cancer mortality rate can be significantly reduced by up to 20% through routine low-dose computed tomography (LDCT) screening, which, however, has high sensitivity but low specificity, resulting in a high rate of false-positive nodules. Combining PET with CT may provide more accurate diagnosis for indeterminate screening-detected nodules. In this work, we investigated low-dose dynamic
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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.