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18F-FDG PET代谢参数在预测1型自身免疫性胰腺炎疾病复发中的潜在附加值

Shengxin Chen^1,2, Guanyun Wang^3,4, Lang Wu¹

¹Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.

BMC gastroenterology

|January 17, 2024

概括

18F-FDG PET/CT代谢参数,特别是总损伤糖解 (TLG),可以预测1型自身免疫性胰腺炎 (AIP) 复发. 结合TLG和血清IgG4水平的模型提高了复发预测的准确性.

科学领域:

核医学成像技术核医学成像技术
胃肠病学胃肠病学
在瘤学瘤学.

背景情况:

对于自身免疫性胰腺炎 (AIP) 复发的18F-FDG PET/CT代谢参数的预测能力仍未确立.
这项研究调查了18F-FDG PET/CT参数作为1型AIP复发的潜在预测因素.

研究的目的:

评估18F-FDG PET/CT代谢参数对1型AIP复发的预测值.
开发AIP复发的预测模型,包括关键的代谢参数和临床因素.

主要方法:

一个多中心的回顾性队列研究,包括51名1型AIP患者,在治疗前接受了18F-FDG PET/CT.
分析包括使用各种代谢参数值 (SUVmax,SUVmean,TLG,MTV,SUVR) 的胰腺损伤的定性和半定量评估.
使用单变量,多变量分析和内部验证 (引导式方法) 来识别独立的预测因子,并构建用于临床使用的名录.

主要成果:

与没有复发的患者相比,复发患者的SUVmax,SUVR和TLG2.5显著更高.
多变量分析确定血清IgG4和TLG2.5作为1型AIP复发的独立预测因素.
结合这两个因素的预测模型实现了曲线下的面积为0.806.

结论:

18F-FDG PET/CT代谢参数,特别是TLG2.5,在预测1型AIP复发方面表现有前途.
结合IgG4水平和TLG2.5的多参数模型提高了AIP复发的预测.

关键词:

18F-氧葡萄糖正子发射断层扫描.后勤模型,代谢参数.复发复发的情况第1型自身免疫性胰腺炎

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