Powerful Prognostic Stratification By [18F]Fluorodeoxyglucose Positron Emission Tomography in Patients With Metastatic Breast Cancer Treated With High-Dose Chemotherapy

医学 正电子发射断层摄影术 氟脱氧葡萄糖 乳腺癌 化疗 核医学 癌症 转移性乳腺癌 内科学 放射科 肿瘤科
作者
F. Cachin,H. Miles Prince,Annette Hogg,Robert E. Ware,Rodney J. Hicks
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:24 (19): 3026-3031 被引量:91
标识
DOI:10.1200/jco.2005.04.6326
摘要

Purpose This study examines the use of [ 18 F]fluorodeoxyglucose positron emission tomography (FDG-PET) for the evaluation of the therapeutic response for patients treated with high-dose chemotherapy (HDC) with autologous stem cell transplantation for metastatic breast cancer (MBC) focusing on prognostic stratification. Patients and Methods Forty-seven patients with MBC were treated with a maximum of three cycles of HDC. Therapeutic response was assessed with conventional imaging (CImg; including a computed tomography in all cases and ultrasound, mammography, and bone scanning as clinically indicated) and by FDG-PET study performed after the last cycle of HDC. Parameters analyzed for predicting survival were FDG-PET and CImg results, pattern of disease, prior treatment, and HDC regimen. Results Complete responses were observed in 16 patients (37%) with CImg and 34 patients (72%) with FDG-PET. The FDG-PET result was the most powerful and independent predictor of survival; patients with a negative post-treatment FDG-PET had a longer median survival than patients with a positive FDG-PET (24 months v 10 months; P < .001). By multivariate analysis the relative risk (RR) of death was higher in patients with FDG-PET-positive disease (RR, 5.3), prior anthracycline treatment (RR, 3.3), or with visceral metastasis (RR, 2.4). Conclusion A single FDG-PET study performed after completion of HDC for MBC can powerfully stratify for survival. This may have implications for how we should assess outcome after conventional-dose therapy for MBC and warrants additional study.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
哦天呐优秀完成签到 ,获得积分10
1秒前
dongdong完成签到 ,获得积分10
1秒前
cxl关注了科研通微信公众号
2秒前
3秒前
3秒前
嘿嘿发布了新的文献求助10
3秒前
苹果河马完成签到,获得积分10
4秒前
诸葛迎彤完成签到 ,获得积分10
4秒前
jelle发布了新的文献求助10
4秒前
kaikai完成签到,获得积分10
6秒前
5656发布了新的文献求助10
6秒前
JayeChen完成签到,获得积分10
6秒前
制药小兵完成签到,获得积分10
6秒前
困困丞丞应助Xk16采纳,获得20
6秒前
6秒前
实验室发布了新的文献求助10
6秒前
zyy完成签到,获得积分10
7秒前
7秒前
7秒前
8秒前
8秒前
熊大完成签到,获得积分10
8秒前
8秒前
东郭秋凌发布了新的文献求助10
8秒前
9秒前
lulu完成签到,获得积分10
9秒前
10秒前
10秒前
10秒前
11秒前
piperrin完成签到,获得积分10
11秒前
11秒前
十一月发布了新的文献求助10
12秒前
zgn发布了新的文献求助10
12秒前
小波完成签到,获得积分10
13秒前
jelle发布了新的文献求助10
13秒前
Han完成签到,获得积分10
14秒前
piperrin发布了新的文献求助10
14秒前
灵巧的小笼包完成签到,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Cognitive Psychology in a Changing World 800
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7683600
求助须知:如何正确求助?哪些是违规求助? 9247406
关于积分的说明 19946823
捐赠科研通 7256458
什么是DOI,文献DOI怎么找? 3288495
关于科研通互助平台的介绍 2445831
邀请新用户注册赠送积分活动 2292531