Suppr超能文献

全身 F-氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描术早期检测多器官轻链淀粉样变性。

Early Detection of Multiorgan Light-Chain Amyloidosis by Whole-Body F-Florbetapir PET/CT.

机构信息

Division of Nuclear Medicine, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.

Amyloidosis Center, Boston University School of Medicine, Boston, Massachusetts.

出版信息

J Nucl Med. 2019 Sep;60(9):1234-1239. doi: 10.2967/jnumed.118.221770. Epub 2019 Apr 6.

Abstract

Immunoglobulin light-chain (AL) amyloidosis affects multiple systemic organs. However, determination of the precise extent of organ involvement remains challenging. Targeted amyloid imaging with F-florbetapir PET/CT offers the potential to detect AL deposits in multiple organs. The primary aim of this study was to determine the distribution and frequency of AL deposits in the various organs of subjects with systemic AL amyloidosis using F-florbetapir PET/CT. This prospective study included 40 subjects with biopsy-proven AL amyloidosis including active AL amyloidosis ( = 30) or AL amyloidosis in hematologic remission for more than 1 y ( = 10). All subjects underwent F-florbetapir PET/CT, skull base to below the kidney scan field, from 60 to 90 min after injection of radiotracer. Volume-of-interest measurements of SUV were obtained using Hermes software for the parotid gland, tongue, thyroid, lung, gastric wall, pancreas, spleen, kidney, muscle, abdominal fat, lower thoracic spine, vertebral body, and humeral head. Uptake in each organ was visually compared with that in spine bone marrow. An SUV of at least 2.5 was considered abnormal in all organs other than the liver. Compared with the international consensus definition of organ involvement, F-florbetapir PET/CT identified amyloid deposits in substantially higher percentages of subjects for several organ systems, including parotid gland (50% vs. 3%), tongue (53% vs. 10%), and lung (35% vs. 10%). In several organ systems, including kidney (13% vs. 28%) and abdominal wall fat (10% vs. 13%), PET identified involvement in fewer subjects than did international consensus. Quantitative analysis of F-florbetapir PET/CT revealed more frequent organ involvement than did visual analysis in the tongue, thyroid, lung, pancreas, kidney, muscle, and humeral head. Extensive organ amyloid deposits were observed in active AL as well as in AL remission cohorts, and in both cardiac and noncardiac AL cohorts. F-florbetapir PET/CT detected widespread organ amyloid deposition in subjects with both active AL and AL hematologic remission. In most instances, amyloid deposits in the various organs were not associated with clinical symptoms and, thus, were unrecognized. Early recognition of systemic organ involvement may help tailor treatment, and noninvasive monitoring of organ-level disease may guide management with novel fibril-resorbing therapies.

摘要

免疫球蛋白轻链(AL)淀粉样变影响多个全身器官。然而,确定器官受累的确切范围仍然具有挑战性。使用 F-氟代苯丙氨酸 PET/CT 进行靶向淀粉样蛋白成像有可能检测到多个器官中的 AL 沉积物。本研究的主要目的是使用 F-氟代苯丙氨酸 PET/CT 确定系统性 AL 淀粉样变性患者各器官中 AL 沉积物的分布和频率。这项前瞻性研究纳入了 40 名经活检证实的 AL 淀粉样变性患者,包括活动性 AL 淀粉样变性(n=30)或 AL 淀粉样变性缓解超过 1 年(n=10)。所有患者均在注射示踪剂后 60 至 90 分钟进行 F-氟代苯丙氨酸 PET/CT 颅底至肾脏扫描场以下的全身扫描。使用 Hermes 软件对腮腺、舌、甲状腺、肺、胃壁、胰腺、脾、肾、肌肉、腹部脂肪、下胸椎、椎体和肱骨头的 SUV 进行感兴趣区测量。除肝脏外,所有其他器官的 SUV 至少为 2.5 被认为异常。与器官受累的国际共识定义相比,F-氟代苯丙氨酸 PET/CT 在多个器官系统中识别出淀粉样沉积物的患者比例明显更高,包括腮腺(50% vs. 3%)、舌(53% vs. 10%)和肺(35% vs. 10%)。在包括肾脏(13% vs. 28%)和腹壁脂肪(10% vs. 13%)在内的几个器官系统中,PET 检测到的受累患者少于国际共识。F-氟代苯丙氨酸 PET/CT 的定量分析显示,在舌、甲状腺、肺、胰腺、肾脏、肌肉和肱骨头中,与视觉分析相比,器官受累的频率更高。在活动性 AL 和 AL 缓解队列中以及在心脏和非心脏 AL 队列中均观察到广泛的器官淀粉样沉积。F-氟代苯丙氨酸 PET/CT 检测到活动性 AL 和 AL 血液学缓解患者的广泛器官淀粉样沉积。在大多数情况下,各个器官中的淀粉样沉积物与临床症状无关,因此未被识别。早期识别全身器官受累可能有助于调整治疗,并且对器官水平疾病的非侵入性监测可能有助于指导使用新型纤维吸收治疗。

相似文献

引用本文的文献

5
Role of Total Body PET/CT in Inflammatory Disorders.全身PET/CT在炎症性疾病中的作用
Semin Nucl Med. 2025 Jan;55(1):41-51. doi: 10.1053/j.semnuclmed.2024.11.001. Epub 2024 Nov 21.

本文引用的文献

7
Radiation dosimetry of florbetapir F 18.氟[18F]氟比他哌的放射剂量学。
EJNMMI Res. 2014 Jan 8;4(1):4. doi: 10.1186/2191-219X-4-4.
8
Immunoglobulin light chain amyloidosis.免疫球蛋白轻链淀粉样变性
Expert Rev Hematol. 2014 Feb;7(1):143-56. doi: 10.1586/17474086.2014.858594. Epub 2013 Dec 18.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验