ArticleJournal of visualized experiments : JoVE2015
Human brown adipose tissue depots automatically segmented by positron emission tomography/computed tomography and registered magnetic resonance images.
Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
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
17 citing papers in PubMed, 22 citations in OpenAlex.
- Automated segmentation of the human supraclavicular fat depot via deep neural network in water-fat separated magnetic resonance images.Quantitative imaging in medicine and surgery · 2023Article
- Brown Adipose Tissue-A Translational Perspective.Endocrine reviews · 2023Review
- Brown Adipose Tissue, Adiposity, and Metabolic Profile in Preschool Children.The Journal of clinical endocrinology and metabolism · 2021Article
- Molecular Imaging of Brown Adipose Tissue Mass.International journal of molecular sciences · 2021Review
- Magnetic Resonance Imaging Techniques for Brown Adipose Tissue Detection.Frontiers in endocrinology · 2020Review
- Brown Adipose Tissue: Multimodality Evaluation by PET, MRI, Infrared Thermography, and Whole-Body Calorimetry (TACTICAL-II).Obesity (Silver Spring, Md.) · 2019Article
- Exposure to Cold Unmasks Potential Biomarkers of Fibromyalgia Syndrome Reflecting Insufficient Sympathetic Responses to Stress.The Clinical journal of pain · 2019Article
- Bone Marrow Adipocyte Developmental Origin and Biology.Current osteoporosis reports · 2018Review
- MRI characterization of brown adipose tissue under thermal challenges in normal weight, overweight, and obese young men.Journal of magnetic resonance imaging : JMRI · 2018Article
- Association of proton density fat fraction in adipose tissue with imaging-based and anthropometric obesity markers in adults.International journal of obesity (2005) · 2018Article
- Automated segmentation of human cervical-supraclavicular adipose tissue in magnetic resonance images.Scientific reports · 2017Article
- Common and distinct regulation of human and mouse brown and beige adipose tissues: a promising therapeutic target for obesity.Protein & cell · 2017Review
- Automated quantitation of cold-inducible human brown adipose tissue with FDG PET/CT with application to fibromyalgia.American journal of nuclear medicine and molecular imaging · 2017Article
- Brown Adipose Reporting Criteria in Imaging STudies (BARCIST 1.0): Recommendations for Standardized FDG-PET/CT Experiments in Humans.Cell metabolism · 2016Review
- Characterizing active and inactive brown adipose tissue in adult humans using PET-CT and MR imaging.American journal of physiology. Endocrinology and metabolism · 2016Article
- Segmentation and quantification of adipose tissue by magnetic resonance imaging.Magma (New York, N.Y.) · 2016Review
- Correlations between quantitative fat-water magnetic resonance imaging and computed tomography in human subcutaneous white adipose tissue.Journal of medical imaging (Bellingham, Wash.) · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Reliably differentiating brown adipose tissue (BAT) from other tissues using a non-invasive imaging method is an important step toward studying BAT in humans. Detecting BAT is typically confirmed by the uptake of the injected radioactive tracer 18F-Fluorodeoxyglucose (18F-FDG) into adipose tissue depots, as measured by positron emission tomography/computed tomography (PET-CT) scans after exposing the subject to cold stimulus. Fat-water separated magnetic resonance imaging (MRI) has the ability to distinguish BAT without the use of a radioactive tracer. To date, MRI of BAT in adult humans has not been co-registered with cold-activated PET-CT. Therefore, this protocol uses 18F-FDG PET-CT scans to automatically generate a BAT mask, which is then applied to co-registered MRI scans of the same subject. This approach enables measurement of quantitative MRI properties of BAT without manual segmentation. BAT masks are created from two PET-CT scans: after exposure for 2 hr to either thermoneutral (TN) (24 °C) or cold-activated (CA) (17 °C) conditions. The TN and CA PET-CT scans are registered, and the PET standardized uptake and CT Hounsfield values are used to create a mask containing only BAT. CA and TN MRI scans are also acquired on the same subject and registered to the PET-CT scans in order to establish quantitative MRI properties within the automatically defined BAT mask. An advantage of this approach is that the segmentation is completely automated and is based on widely accepted methods for identification of activated BAT (PET-CT). The quantitative MRI properties of BAT established using this protocol can serve as the basis for an MRI-only BAT examination that avoids the radiation associated with PET-CT.
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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.