ArticleMagma (New York, N.Y.)2016
Segmentation and characterization of interscapular brown adipose tissue in rats by multi-parametric magnetic resonance imaging.
Article in Magma (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Evaluation of high-fat diet-induced metabolic impairments in iBAT lipid metabolism usingMagma (New York, N.Y.) · 2026Article
- 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
- Magnetic Resonance Imaging Techniques for Brown Adipose Tissue Detection.Frontiers in endocrinology · 2020Review
- Imaging adipose tissue browning using the TSPO-18kDa tracer [Molecular metabolism · 2019Article
- Human Brown Adipose Tissue Estimated With Magnetic Resonance Imaging Undergoes Changes in Composition After Cold Exposure: AnFrontiers in endocrinology · 2019Article
- Multimodal imaging approach to monitor browning of adipose tissue in vivo.Journal of lipid research · 2018Article
- iBAT sympathetic innervation is not required for body weight loss induced by central leptin delivery.American journal of physiology. Endocrinology and metabolism · 2018Article
- Water-fat MRI in a hibernator reveals seasonal growth of white and brown adipose tissue without cold exposure.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2017Article
- Automated segmentation of human cervical-supraclavicular adipose tissue in magnetic resonance images.Scientific reports · 2017Article
- Diffuse Optical Spectroscopy and Imaging to Detect and Quantify Adipose Tissue Browning.Scientific reports · 2017Article
- Tissue segmentation: a crucial tool for quantitative MRI and visualization of anatomical structures.Magma (New York, N.Y.) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim was to auto-segment and characterize brown adipose, white adipose and muscle tissues in rats by multi-parametric magnetic resonance imaging with validation by histology and UCP1. MATERIALS AND
methodsMale Wistar rats were randomized into two groups for thermoneutral (n = 8) and cold exposure (n = 8) interventions, and quantitative MRI was performed longitudinally at 7 and 11 weeks. Prior to imaging, rats were maintained at either thermoneutral body temperature (36 ± 0.5 °C), or short term cold exposure (26 ± 0.5 °C). Neural network based automatic segmentation was performed on multi-parametric images including fat fraction, T2 and T2* maps. Isolated tissues were subjected to histology and UCP1 analysis.
resultsMulti-parametric approach showed precise delineation of the interscapular brown adipose tissue (iBAT), white adipose tissue (WAT) and muscle regions. Neural network based segmentation results were compared with manually drawn regions of interest, and showed 96.6 and 97.1% accuracy for WAT and BAT respectively. Longitudinal assessment of the iBAT volumes showed a reduction at 11 weeks of age compared to 7 weeks. The cold exposed group showed increased iBAT volume compared to thermoneutral group at both 7 and 11 weeks. Histology and UCP1 expression analysis supported our imaging results.
conclusionMulti-parametric MR based neural network auto-segmentation provides accurate separation of BAT, WAT and muscle tissues in the interscapular region. The cold exposure improves the classification and quantification of heterogeneous BAT.
Indexed as
Identifiers
26747282What 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.