ReviewEuropean journal of nuclear medicine and molecular imaging2019
Quantitative imaging biomarkers in nuclear medicine: from SUV to image mining studies. Highlights from annals of nuclear medicine 2018.
Review in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 29 citations in OpenAlex.
- Straightforward PET phantom preparation usingAnnals of nuclear medicine · 2026Article
- TSPO PET selectively detects the denervated skeletal muscle district remodeling after experimental peripheral nerve injury.EJNMMI research · 2026Article
- An Evaluation Study of PET Image Quality Factors in Brain Tumor Diagnosis.Tomography (Ann Arbor, Mich.) · 2026Article
- 2.5D Deep Learning and Machine Learning for Discriminative DLBCL and IDC with Radiomics on PET/CT.Bioengineering (Basel, Switzerland) · 2025Article
- Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Empowering PET: harnessing deep learning for improved clinical insight.European radiology experimental · 2024Review
- From pixels to predictions: the scrying power of molecular imaging.European journal of nuclear medicine and molecular imaging · 2024Article
- Artificial Intelligence in Cardiology and Atherosclerosis in the Context of Precision Medicine: A Scoping Review.Applied bionics and biomechanics · 2024Article
- Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
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- Metabolic Volume Measurements in Multiple Myeloma.Metabolites · 2021Review
- [EJNMMI research · 2021Article
- Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer.European journal of nuclear medicine and molecular imaging · 2021Observational
- Article
- Climbing the steps of the evidence-based medicine pyramid: highlights from Annals of Nuclear Medicine 2019.European journal of nuclear medicine and molecular imaging · 2021Review
- Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.Theranostics · 2021Article
- Artificial intelligence and hybrid imaging: the best match for personalized medicine in oncology.European journal of hybrid imaging · 2020Review
- Methodological framework for radiomics applications in Hodgkin's lymphoma.European journal of hybrid imaging · 2020Article
- Imaging-Based Prediction of Molecular Therapy Targets in NSCLC by Radiogenomics and AI Approaches: A Systematic Review.Diagnostics (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveQuantification in medical imaging is one of the main goals in research and clinical practice since it allows immediate understanding, objective communication, and comparison. Our aim was to summarize relevant investigations on quantification in nuclear medicine studies published in the volume 32 of Annals of Nuclear Medicine.
methodsIn this article, we summarized the data of 14 selected papers from international research groups that were published between January and December 2018. This is a descriptive review with an inherently subjective selection of articles.
resultsWe discussed the role of parameters ranging from standardized uptake value to ratios, to flow within a region of interest, to volumetric parameters and to texture indices in different clinical scenarios in oncology, cardiology, and neurology.
conclusionsIn all the medical disciplines in which nuclear medicine examinations play a role, quantification is essential both in research and in clinical practice. Standardization and high-quality protocols are crucial for the success and reliability of imaging biomarkers.
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.