Suppr超能文献

探索[18F]氟代胸苷正电子发射断层显像/计算机断层扫描([18F]FLT PET/CT)测量的肿瘤与背景实质比在确定乳腺癌新辅助化疗反应中的作用:一项多中心研究。

Exploring the role of tumor to background parenchymal ratio of the [18F]FLT PET/CT measures in determining response to neoadjuvant chemotherapy in breast cancer: a multicenter study.

作者信息

Mohebbi Alisa, Asli Fatemeh, Mohammadzadeh Saeed, Ardakani Ali Abbasian, Tavangar Seyed Mohammad, Mohammadi Afshin

机构信息

Universal Scientific Education and Research Network (USERN), Tehran, Iran.

School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

BMC Cancer. 2025 Jul 3;25(1):1139. doi: 10.1186/s12885-025-14534-w.

Abstract

OBJECTIVE

To investigate the potential of 3'-deoxy-3'-[18F]fluorothymidine positron emission tomography computed tomography ([18F]FLT PET/CT) in predicting locally advanced breast cancer response to neoadjuvant chemotherapy (NAC), focusing on the role of tumor to background parenchymal ratio (TBR) of the standardized uptake value (SUV) ratios.

METHODS

This retrospective analysis utilized prospectively collected data from the multicenter ACRIN 6688 observational trial. It used a dataset of 90 patients from 17 centers with confirmed breast cancer who planned to receive NAC followed by surgery as part of their treatment. Three [18F]FLT PET/CTs were scheduled for each participant at three time points to obtain serial tumor dimensions and TBR values of SUV ratios: before therapy initiation, after completion of the first cycle, and after the termination of chemotherapy.

RESULTS

Tumor size, TBRmean, and TBRmax all showed poor diagnostic performance in predicting pathological response in all three scans, with the highest AUC of 0.682. The combined model of PET and CT parameters exhibited the best diagnostic performance, significantly improving the diagnostic values of the first and third PET/CT scans, with AUCs of 0.731 and 0.833 for each scan and 0.875 for their percentage change. The mid-NAC scan did not seem to show any considerable diagnostic value in either of the models, with the highest AUC being 0.626.

CONCLUSION

The combined model, having both tumor size and uptake values as its components, performed well in predicting the tumor's pathological response to chemotherapy, particularly when compared to each component's performance alone, which suggests the complementary role of functional (i.e., TBR) and anatomical (i.e., size) parameters.

摘要

目的

探讨3'-脱氧-3'-[18F]氟胸苷正电子发射断层扫描计算机断层扫描([18F]FLT PET/CT)在预测局部晚期乳腺癌对新辅助化疗(NAC)反应方面的潜力,重点关注标准化摄取值(SUV)比值的肿瘤与背景实质比(TBR)的作用。

方法

这项回顾性分析利用了多中心ACRIN 6688观察性试验中前瞻性收集的数据。它使用了来自17个中心的90例确诊乳腺癌患者的数据集,这些患者计划接受NAC并随后进行手术作为其治疗的一部分。为每位参与者在三个时间点安排了三次[18F]FLT PET/CT扫描,以获取SUV比值的系列肿瘤尺寸和TBR值:治疗开始前、第一个周期结束后以及化疗结束后。

结果

在所有三次扫描中,肿瘤大小、平均TBR和最大TBR在预测病理反应方面均显示出较差的诊断性能,最高AUC为0.682。PET和CT参数的联合模型表现出最佳的诊断性能,显著提高了第一次和第三次PET/CT扫描的诊断价值,每次扫描的AUC分别为0.731和0.833,其百分比变化的AUC为0.875。NAC中期扫描在这两种模型中似乎均未显示出任何可观的诊断价值,最高AUC为0.626。

结论

以肿瘤大小和摄取值为组成部分的联合模型在预测肿瘤对化疗的病理反应方面表现良好,特别是与每个组成部分单独的性能相比,这表明功能(即TBR)和解剖(即大小)参数具有互补作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1489/12224855/774c389866d1/12885_2025_14534_Fig1_HTML.jpg

相似文献

2
123I-MIBG scintigraphy and 18F-FDG-PET imaging for diagnosing neuroblastoma.
Cochrane Database Syst Rev. 2015 Sep 29;2015(9):CD009263. doi: 10.1002/14651858.CD009263.pub2.
5
Is 18 F-fluoride PET/CT an Accurate Tool to Diagnose Loosening After Total Joint Arthroplasty?
Clin Orthop Relat Res. 2025 Mar 1;483(3):415-428. doi: 10.1097/CORR.0000000000003228. Epub 2024 Sep 11.
8
Impact of residual disease as a prognostic factor for survival in women with advanced epithelial ovarian cancer after primary surgery.
Cochrane Database Syst Rev. 2022 Sep 26;9(9):CD015048. doi: 10.1002/14651858.CD015048.pub2.
9
Positron emission tomography-adapted therapy for first-line treatment in individuals with Hodgkin lymphoma.
Cochrane Database Syst Rev. 2015 Jan 9;1(1):CD010533. doi: 10.1002/14651858.CD010533.pub2.

本文引用的文献

2
F-FDG PET/CT for Response Assessment in Lung Cancer.
Semin Nucl Med. 2022 Nov;52(6):662-672. doi: 10.1053/j.semnuclmed.2022.04.001. Epub 2022 May 29.
3
Locally advanced breast cancer.
Breast. 2022 Mar;62 Suppl 1(Suppl 1):S58-S62. doi: 10.1016/j.breast.2021.12.011. Epub 2021 Dec 15.
5
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
8
Risk Factors and Preventions of Breast Cancer.
Int J Biol Sci. 2017 Nov 1;13(11):1387-1397. doi: 10.7150/ijbs.21635. eCollection 2017.
9
RECIST 1.1-Update and clarification: From the RECIST committee.
Eur J Cancer. 2016 Jul;62:132-7. doi: 10.1016/j.ejca.2016.03.081. Epub 2016 May 14.

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