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局部晚期乳腺癌患者病变可检测性的提高——一项使用动态全身[F]FDG PET/CT的初步研究。

Increased lesion detectability in patients with locally advanced breast cancer-A pilot study using dynamic whole-body [F]FDG PET/CT.

作者信息

Pedersen Mette Abildgaard, Dias André H, Hjorthaug Karin, Gormsen Lars C, Fledelius Joan, Johnsson Anna Lyhne, Borgquist Signe, Tramm Trine, Munk Ole Lajord, Vendelbo Mikkel Holm

机构信息

Department of Nuclear Medicine & PET Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, Aarhus, Denmark.

Department of Biomedicine, Aarhus University, Aarhus, Denmark.

出版信息

EJNMMI Res. 2024 Mar 25;14(1):31. doi: 10.1186/s13550-024-01096-4.

Abstract

BACKGROUND

Accurate diagnosis of axillary lymph node (ALN) metastases is essential for prognosis and treatment planning in breast cancer. Evaluation of ALN is done by ultrasound, which is limited by inter-operator variability, and by sentinel lymph node biopsy and/or ALN dissection, none of which are without risks and/or long-term complications. It is known that conventional 2-deoxy-2-[F]fluoro-D-glucose ([F]FDG) positron emission tomography/computed tomography (PET/CT) has limited sensitivity for ALN metastases. However, a recently developed dynamic whole-body (D-WB) [F]FDG PET/CT scanning protocol, allowing for imaging of tissue [F]FDG metabolic rate (MR), has been shown to have the potential to increase lesion detectability. The study purpose was to examine detectability of malignant lesions in D-WB [F]FDG PET/CT compared to conventional [F]FDG PET/CT.

RESULTS

This study prospectively included ten women with locally advanced breast cancer who were referred for an [F]FDG PET/CT as part of their diagnostic work-up. They all underwent D-WB [F]FDG PET/CT, consisting of a 6 min single bed dynamic scan over the chest region started at the time of tracer injection, a 64 min dynamic WB PET scan consisting of 16 continuous bed motion passes, and finally a contrast-enhanced CT scan, with generation of MR parametric images. Lesion visibility was assessed by tumor-to-background and contrast-to-noise ratios using volumes of interest isocontouring tumors with a set limit of 50% of SUVmax and background volumes placed in the vicinity of tumors. Lesion visibility was best in the MR images, with target-to-background values 2.28 (95% CI: 2.04-2.54) times higher than target-to-background values in SUV images, and contrast-to-noise values 1.23 (95% CI: 1.12-1.35) times higher than contrast-to-noise values in SUV images. Furthermore, five imaging experts visually assessed the images and three additional suspicious lesions were found in the MR images compared to SUV images; one suspicious ALN, one suspicious parasternal lymph node, and one suspicious lesion located in the pelvic bone.

CONCLUSIONS

D-WB [F]FDG PET/CT with MR images show potential for improved lesion detectability compared to conventional SUV images in locally advanced breast cancer. Further validation in larger cohorts is needed.

CLINICAL TRIAL REGISTRATION

The trial is registered in clinicaltrials.gov, NCT05110443, https://www.

CLINICALTRIALS

gov/study/NCT05110443?term=NCT05110443&rank=1 .

摘要

背景

准确诊断腋窝淋巴结(ALN)转移对于乳腺癌的预后和治疗规划至关重要。对ALN的评估通过超声进行,但受操作者间差异的限制,也通过前哨淋巴结活检和/或ALN清扫术进行,而这些方法均存在风险和/或长期并发症。已知传统的2-脱氧-2-[F]氟-D-葡萄糖([F]FDG)正电子发射断层扫描/计算机断层扫描(PET/CT)对ALN转移的敏感性有限。然而,最近开发的动态全身(D-WB)[F]FDG PET/CT扫描方案,能够对组织[F]FDG代谢率(MR)进行成像,已显示出提高病变检测能力的潜力。本研究的目的是比较D-WB [F]FDG PET/CT与传统[F]FDG PET/CT对恶性病变的检测能力。

结果

本研究前瞻性纳入了10名局部晚期乳腺癌女性患者,她们因诊断性检查而接受[F]FDG PET/CT检查。她们均接受了D-WB [F]FDG PET/CT检查,包括在注射示踪剂时开始的胸部区域6分钟单床位动态扫描、由16次连续床位移动组成的64分钟动态全身PET扫描,最后进行对比增强CT扫描,并生成MR参数图像。使用感兴趣体积等轮廓肿瘤评估病变可见性,肿瘤设定限度为SUVmax的50%,背景体积置于肿瘤附近,通过肿瘤与背景及对比噪声比进行评估。MR图像中病变可见性最佳,目标与背景值比SUV图像中的目标与背景值高2.28倍(95%CI:2.04 - 2.54),对比噪声值比SUV图像中的对比噪声值高1.23倍(95%CI:1.12 - 1.35)。此外,5名影像专家对图像进行了视觉评估,与SUV图像相比,在MR图像中发现了另外3个可疑病变;一个可疑ALN、一个可疑胸骨旁淋巴结和一个位于骨盆骨的可疑病变。

结论

与传统SUV图像相比,D-WB [F]FDG PET/CT的MR图像在局部晚期乳腺癌中显示出提高病变检测能力的潜力。需要在更大队列中进行进一步验证。

临床试验注册

该试验已在clinicaltrials.gov注册,NCT05110443,https://www.clinicaltrials.gov/study/NCT05110443?term=NCT05110443&rank=1

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f37d/10963357/4a324a692b2a/13550_2024_1096_Fig1_HTML.jpg

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