Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy

被引:148
|
作者
Manton, DJ [1 ]
Chaturvedi, A
Hubbard, A
Lind, MJ
Lowry, M
Maraveyas, A
Pickles, MD
Tozer, DJ
Turnbull, LW
机构
[1] Univ Hull, Postgrad Med Inst, Div Canc, Hull York Med Sch, Kingston Upon Hull HU6 7RX, N Humberside, England
[2] Princess Royal Hosp, Dept Clin Oncol, Hull & E Yorkshire Hosp NHS Trust, Kingston Upon Hull HU8 9HE, Yorks, England
[3] Castle Hill Hosp, Breast Screening Unit, Hull & E Yorkshire Hosp NHS Trust, Cottingham HU16 5JQ, Yorks, England
[4] Inst Neurol, NMR Res Unit, London WC1N 3BG, England
关键词
breast neoplasms; chemotherapy; magnetic resonance; MR; spectroscopy; contrast enhancement; diffusion study;
D O I
10.1038/sj.bjc.6602948
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
prospective study was undertaken in women undergoing neoadjuvant chemotherapy for locally advanced breast cancer in order to determine the ability of quantitative magnetic resonance imaging (MRI) and proton spectroscopy (MRS) to predict ultimate tumour response ( percentage decrease in volume) or to detect early response. Magnetic resonance imaging and MRS were carried out before treatment and after the second of six treatment cycles. Pharmacokinetic parameters were derived from T-1-weighted dynamic contrast-enhanced MRI, water apparent diffusion coefficient (ADC) was measured, and tissue water : fat peak area ratios and water T-2 were measured using unsuppressed one-dimensional proton spectroscopic imaging (30 and 135 ms echo times). Pharmacokinetic parameters and ADC did not detect early response; however, early changes in water : fat ratios and water T-2 ( after cycle two) demonstrated substantial prognostic efficacy. Larger decreases in water T-2 accurately predicted final volume response in 69% of cases (11/16) while maintaining 100% specificity and positive predictive value. Small/absent decreases in water : fat ratios accurately predicted final volume non-response in 50% of cases (3/6) while maintaining 100% sensitivity and negative predictive value. This level of accuracy might permit clinical application where early, accurate prediction of non-response would permit an early change to second-line treatment, thus sparing patients unnecessary toxicity, psychological morbidity and delay of initiation of effective treatment.
引用
收藏
页码:427 / 435
页数:9
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