ReviewSeminars in nuclear medicine2016
The Potential of Metabolic Imaging.
Review in Seminars in nuclear medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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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.
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Who cites it
16 citing papers in PubMed.
- Advanced methods in deuterium metabolic imaging.Magma (New York, N.Y.) · 2026Review
- Increasing Infusion Times of Hyperpolarized [1-Magnetic resonance in medicine · 2026Article
- Conductivity-based choline contrast as a potential imaging biomarker for assessing abnormal choline metabolism.Biomedical engineering online · 2025Article
- Metabolic light absorption, scattering, and emission (MetaLASE) microscopy.Science advances · 2024Article
- Synthetic Efforts toward the Synthesis of a Fluorinated Analog of 5-Aminolevulinic Acid: Practical Synthesis of Racemic and Enantiomerically Defined 3-Fluoro-5-aminolevulinic Acid.The Journal of organic chemistry · 2024Article
- Neuroimaging genetics approaches to identify new biomarkers for the early diagnosis of autism spectrum disorder.Molecular psychiatry · 2023Review
- Bioorthogonal Chemical Imaging of Cell Metabolism Regulated by Aromatic Amino Acids.Journal of visualized experiments : JoVE · 2023Article
- Video-rate Raman-based metabolic imaging by Airy light-sheet illumination and photon-sparse detection.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Metabolic contrast agents produced from transported solidCommunications chemistry · 2021Article
- Visualizing Cancer Cell Metabolic Dynamics Regulated With Aromatic Amino Acids Using DO-SRS and 2PEF Microscopy.Frontiers in molecular biosciences · 2021Article
- Imaging the Rewired Metabolism in Lung Cancer in Relation to Immune Therapy.Frontiers in oncology · 2021Review
- Hyperpolarized [1-Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Metabolic Regulation of Tissue Stem Cells.Trends in cell biology · 2020Review
- Concealed complete response in melanoma patients under therapy with immune checkpoint inhibitors: two case reports.Journal for immunotherapy of cancer · 2018Article
- Imaging Cancer Metabolism.Biomolecules & therapeutics · 2018Review
- Characterization of the Tumor Microenvironment and Tumor-Stroma Interaction by Non-invasive Preclinical Imaging.Frontiers in oncology · 2017Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Metabolic imaging is a field of molecular imaging that focuses and targets changes in metabolic pathways for the evaluation of different clinical conditions. Targeting and quantifying metabolic changes noninvasively is a powerful approach to facilitate diagnosis and evaluate therapeutic response. This review addresses only techniques targeting metabolic pathways. Other molecular imaging strategies, such as affinity or receptor imaging or microenvironment-dependent methods are beyond the scope of this review. Here we describe the current state of the art in clinically translatable metabolic imaging modalities. Specifically, we focus on PET and MR spectroscopy, including conventional (1)H- and (13)C-MR spectroscopy at thermal equilibrium and hyperpolarized MRI. In this article, we first provide an overview of metabolic pathways that are altered in many pathologic conditions and the corresponding probes and techniques used to study those alterations. We then describe the application of metabolic imaging to several common diseases, including cancer, neurodegeneration, cardiac ischemia, and infection or inflammation.
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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.