Jalloul Wael, Moscalu Mihaela, Moscalu Roxana, Jalloul Despina, Grierosu Irena Cristina, Gutu Mihaela, Haba Danisia, Mocanu Veronica, Gutu Mihai Marius, Stefanescu Cipriana
Department of Biophysics and Medical Physics-Nuclear Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.
Department of Preventive Medicine and Interdisciplinarity, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.
Biomedicines. 2024 Jan 11;12(1):151. doi: 10.3390/biomedicines12010151.
Recent research has suggested that one novel mechanism of action for anti-obesity medications is to stimulate the activation of brown adipose tissue (BAT). FDG PET/CT remains the gold standard for defining and quantifying BAT. SUVmax is the most often used quantification tool in clinical practice. However, this parameter does not reflect the entire BAT volume. As a potential method for precisely evaluating BAT, we have utilised metabolic tumour volume (MTV) and total lesion glycolysis (TLG) to answer the question: Are MTV and TLG accurate in quantifying the intensity of BAT activation? After analysing the total number of oncological F-FDG PET/CT scans between 2021-2023, we selected patients with active BAT. Based on the BAT SUVmax, the patients were divided into BAT-moderate activation (MA) vs. BAT-high activation (HA). Furthermore, we statistically analysed the accuracy of TLG and MTV in assessing BAT activation intensity. The results showed that both parameters increased their predictive value regarding BAT activation, and presented a significantly high sensitivity and specificity for the correct classification of BAT activation intensity. To conclude, these parameters could be important indicators with increased accuracy for classifying BAT expression, and could bring additional information about the volume of BAT to complement the limitations of the SUVmax.
最近的研究表明,抗肥胖药物的一种新作用机制是刺激棕色脂肪组织(BAT)的激活。FDG PET/CT仍然是定义和量化BAT的金标准。SUVmax是临床实践中最常用的量化工具。然而,该参数并不能反映整个BAT体积。作为一种精确评估BAT的潜在方法,我们利用代谢肿瘤体积(MTV)和总病灶糖酵解(TLG)来回答这个问题:MTV和TLG在量化BAT激活强度方面准确吗?在分析了2021年至2023年间肿瘤学F-FDG PET/CT扫描的总数后,我们选择了BAT活跃的患者。根据BAT SUVmax,将患者分为BAT中度激活(MA)组和BAT高度激活(HA)组。此外,我们对TLG和MTV评估BAT激活强度的准确性进行了统计分析。结果表明,这两个参数都提高了对BAT激活的预测价值,并且在正确分类BAT激活强度方面具有显著高的敏感性和特异性。总之,这些参数可能是提高BAT表达分类准确性的重要指标,并且可以带来有关BAT体积的额外信息,以补充SUVmax的局限性。