首页> 外文期刊>Journal of Clinical and Translational Endocrinology Case Reports >Identification of brown adipose tissue in an adult human using parametric data reconstructed from a 2-point Dixon magnetic resonance imaging sequence acquired simultaneously with FDG PET
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Identification of brown adipose tissue in an adult human using parametric data reconstructed from a 2-point Dixon magnetic resonance imaging sequence acquired simultaneously with FDG PET

机译:使用从与FDG PET同时获得的2点Dixon磁共振成像序列重建的参数数据中鉴定成年人的棕色脂肪组织

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The identification and quantification of brown adipose tissue (BAT) in adult humans are crucial in current research efforts targeting BAT in the fight against obesity. Recently, magnetic resonance imaging (MRI) has shown promise in differentiating BAT from white adipose tissue (WAT) through its ability to depict relative fat and water content within areas of macroscopic adipose tissue. We present a case of a 65 year old woman, one of the first ever patients scanned on a hybrid positron emission tomography (PET)/MRI scanner in Australia, in whom extensive physiological BAT uptake of F-18 fluorodeoxyglucose (FDG) was observed in the supraclavicular fossae that correlated extremely well with areas of adipose tissue with low fat fraction on MRI. The ability to reliably and accurately detect and quantify BAT by MRI would eradicate the need for ionising radiation associated with PET???the current gold standard in imaging of BAT???and have a significant positive impact for all human subjects enrolled in BAT studies. More detailed investigation is required to determine the reproducibility and accuracy of the proposed MRI reconstruction methods for BAT identification in a larger number of subjects.
机译:成年人棕色脂肪组织(BAT)的鉴定和定量在当前针对BAT对抗肥胖的研究中至关重要。最近,磁共振成像(MRI)已显示出通过将宏观脂肪组织区域内的相对脂肪和水分含量进行描述的能力,将BAT与白色脂肪组织(WAT)区别开来。我们介绍了一例65岁的妇女,这是澳大利亚首例在混合正电子发射断层扫描(PET)/ MRI扫描仪上扫描的患者,其中观察到F-18氟脱氧葡萄糖(FDG)的大量生理BAT吸收。锁骨上窝与MRI上脂肪含量低的脂肪组织区域密切相关。通过MRI可靠,准确地检测和定量BAT的能力将消除对与PET相关的电离辐射的需要-当前BAT成像中的金标准-对所有参与BAT研究的人类受试者都具有显着的积极影响。需要进行更详细的研究,以确定所提出的MRI重建方法在大量受试者中的BAT识别的可重复性和准确性。

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