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动态增强MR定量分析早期预测乳腺癌新辅助化疗疗效的研究 被引量:14

Quantitative dynamic contrast enhanced MR in the prediction of response in breast cancer patients undergoing neoadjuvant chemotherapy
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摘要 目的探讨动态增强MR定量分析早期预测乳腺癌新辅助化疗(NAC)疗效的可行性。方法收集分析47例经核芯针穿刺病理证实的,乳腺浸润性导管癌患者化疗前和NAC2周期后的动态增强MR量化参数:容量转移常数(Ktrans)、速率常数(Kep)和细胞外血管外间隙容积比(Vc)。按病理结果分为组织学非显著反应(NMHR)组和组织学显著反应(MHR)组。采用非参数检验(Mann—WhitneyU检验)比较MHR组和NMHR组NAC2周期后各量化参数的变化值,采用两独立样本t检验比较化疗前两组的基线参数值,并通过绘制受试者工作曲线(ROC)找到最佳预测参数及其诊断阈值。结果MHR组15例,NMHR组32例。化疗前MHR组的Ktrans、Kep和Vc值分别为(1.51±0.33)/min、(2.97±1.06)/min和(0.55±0.16),NMHR组各参数值分别为(1.53±0.40)/min、(2.82±0.99)/min和(0.57±0.20),两组间差异无统计学意义(t值分别为-0.123、0.450和-0.380,P值均〉0.05)。NAC2周期后MHR组Ktrans、Kep和Vc的变化值分别为-88.2%(-96.0%-1.5%)、-62.5%(-94.3%~-8.7%)和-57.0%(-82.1%~55.5%),NMHR组各参数的变化值分别为-8.1%(-88.5%-32.4%)、-18.2%(-62.1%~145.9%)和-4.7%(-83.1%~95.7%),两组间差异均有统计学意义(Z值分别为4.359、4.359和3.332,P值均〈0.01)。通过绘制ROC曲线可得,Ktrans和Kep的变化值及NAC2周期后Ktrans值的曲线下面积最大,均为0.898,三者预测NMHR的敏感度分别为87.5%、90.6%和78.1%,特异度分别为86.7%、80.0%和93.3%。结论动态增强MR定量分析可早期(化疗2周期)预测乳腺癌患者NAC的最终疗效。 Objective To investigate whether quantitative dynamic contrast enhanced MR can predict final pathologic response in primary breast cancer patients undergoing neoadjuvant chemotherapy (NAC). Methods Forty seven patients who were pathologically proved infiltrating ductal carcinoma with core needle puncture biopsy were examined before NAC and after 2 cycles of treatment and the quantitative parameters (Ktrans, Kep and Ve ) were analyzed prospectively. Histological response is categorized as non-major histological response (NMHR) and major histological response (MHR). Quantitative parameter changes measured after 2 cycles of NAC were compared between MHR and NMHR using non parametric tests (Mann- Whitney U test ) and pretreatment parameters were compared using independent samples t tests. Receiver operating characteristic curve ( ROC ) was used to determine the best predictor and cutoff value. Results Fifteen patients were grouped into MHR and 32 patients were NMHR. Pretreatment parameters( Ktrans, Kep and Vc) were(1.51 ±0.33) /min, (2.97 ±1.06) /min and (0.55 ±0.16) in MHR and (1.53 ± 0.40) /min,(2. 82 ±0. 99 ) /min and (0. 57±0. 20) in NMHR. There was no significant difference between the two groups (t values were -0. 123,0. 450 and -0. 380, respectively, P 〉 0. 05 ). Changes inkinetic parameters(K , Kep and V, ) were - 88.2% ( - 96. 0% to 1.5% ) , - 62. 5% ( - 94. 3% to -8.7%) and -57.0%( -82. 1% to 55.5%) in MHR and -8.1%( -88.5% to 32. 4%), -18.2% ( - 62. 1% to 145.9% ) and - 4. 7% ( - 83.1% to 95.7% ) in NMHR. There were significant difference between the two groups (Z values were 4. 359,4. 359 and 3. 332, respectively, P 〈 0. 01 ). The areas under ROC curve of △Ktrans, △Kep and Ktrans after 2 cycles of NAC were all 0. 898. Sensitivity of the three parameters for predicting NMHR were 87. 5% ,90. 6% and 78.1% ,and specificity were 86. 7% ,80. 0% and 93.3%, respectively. Conclusion Quantitative dynamic contrast enhanced MRI can predict final pathologic response in primary breast cancers after 2 cycles of NAC.
出处 《中华放射学杂志》 CAS CSCD 北大核心 2013年第8期704-708,共5页 Chinese Journal of Radiology
基金 基金项目:中国医学科学院肿瘤医院肿瘤研究所科研重大课题资助项目(LC2011201)
关键词 乳腺肿瘤 磁共振成像 药物疗法 联合 Breast neoplasms Magnetic resonance imaging Drug therapy, combination
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参考文献11

  • 1Park SH, Moon WK, Cho N, et al. Comparison of diffusion- weighted MR imaging and FDG PET/CT to predict patholog/cal complete response to neoadjuvant chemotherapy in patients with breast cancer. Eur Radial,2012,22 : 18-25.
  • 2Torts PS, Brix G, Buckley DL, et al. Estimating kinetic parameters fi'om dynamic contrast-enhanced T (1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson hnaging, 1999,10:223-232.
  • 3Oqston KN, Miller ID, Payne S, et al. A new histological grading system to assess response of breast cancers to primary chemotherapy: prognostic significance and survival. Breast, 2003, 12:320-327.
  • 4de Bazelaire C, Calmon R, Thomassin I, et al. Accuracy of perfusion MRI with high spatial but low temporal resolution to invasive breast cancer response to neoadjuvant chemotherapy : a retrospective study. BMC Cancer,2011,11 : 361.
  • 5李瑞敏,顾雅佳,毛健,彭卫军,孙非,谭红娜,唐峰,钱敏.定量动态增强MRI鉴别乳腺良恶性病变的研究[J].中华放射学杂志,2011,45(2):164-169. 被引量:83
  • 6Ah-See ML, Makris A,Taylor N J, et al. Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer. Clin Cancer Res,2008,14:6580-6589.
  • 7Li SP, Taylor N J, Makris A, et al. Primary human breastadeno adenocarcinoma:imaging and histologic correlates of intrin sic susceptibility-weighted MR imaging before and during chemotherapy.Radiology,2010,257:643-62.
  • 8Li X,Welch EB,Arlinghaus LR,et al.A novel AIF tra king method and comparison of DCE-MRI parameters using individual and populaton- based AIFS in human breast cancer.Phys'Med Biol,2011,56:5753-5769.
  • 9Pickles MD,Manton DJ,Lowry M,et al.Prognostic value of pretreatment DCE-MRI parameters in predicting disease free and overall surivival for breast cancer patients undergoing neoadjuvant chemotherapy.Eur J Radiol,2009,71:498-505.
  • 10Vincensinl D, Dedieu V, Ella/ PA, el al. Magnetic tsonance imaging measuremenls of vascular permeability and extracellular vohlme taction of brcast tttmol by dynamic ',d-l)TPA-mhanced relaxomett7. Magn Resort Imaging,2007,25:293-302.

二级参考文献14

  • 1张嵘,李勇,任俊杰,梁碧玲,文艳玲,李海刚.乳腺叶状瘤的影像诊断[J].中华放射学杂志,2004,38(7):717-720. 被引量:23
  • 2Sinha S,Sinha U.Recent advances in breast MRI and MRS.NMB Biomed,2009,22:3-16.
  • 3Murase K.Efficient method for calculating kinetic parameters using T1-weighted dynamic contrast-enhanced magnetic resonance imaging.Magn Reson Med,2004,51:858-862.
  • 4Yankeelov TE,Lepage M,Chakravarthy A,et al.Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer:initial results.Magn Reson Imaging,2007,25:1-13.
  • 5Tofts PS,Brix G,Buckley DL,et al.Estimating kinetic parameters from dynamic contrast-enhanced T1 -weighted MRI of a diffusable tracer:standardized quantities and symbols.J Magn Rein Imaging,1999,10:223-232.
  • 6Tavassoli FA,Devillee P.WHO classification of tumours pathology & genetics:tumours of the breast and female genital organs.Lyon:IARC Press,2003:9-112.
  • 7Huang W,Li X,Morris EA,et al.The magnetic resonance shutter speed discriminates vascular properties of malignant and benign breast tumors in vivo.Proc Natl Acad Sci USA,2008,105:17943-17948.
  • 8Barrett T,Brechbiel M,Bernardo M,et aL MRI of tumor angiogenesis.J Magn Reson Imaging,2007,26:235-249.
  • 9Toffs PS.Modeling tracer kinetics in dynamic Gd-DTPA MR imaging J Magn Reson Imaging,1997,7:91-101.
  • 10Wang Y,Huang W,Panicek DM.Feasibility of using limitedpopulation-based arterial input function for pharmacokinetic modeling of osteosarcoma dynamic contrast-enhanced MRI data.Magn Reson Med,2008,59:1183-1189.

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同被引文献88

  • 1李玉林.病理学[M].6版.北京:人民卫生出版社,2003:1.
  • 2李洁,张晓鹏,陆爱萍,欧阳涛,曹崑,孙应实,唐磊.乳腺癌新辅助化疗后动态增强MRI表现与病理反应性相关性研究[J].中华放射学杂志,2007,41(11):1200-1204. 被引量:11
  • 3Su MY,Cheung YC,Ruehauf JP,et al. Correlation of dynamic contrast enhancement MRI parameters with microvesset density and VEGF for assessment of angiogenesis inbreast cancer [J]. J Magn Reson Imaging, 2003,18 (4) : 467-477.
  • 4Tozaki M, Igarasbi T, Fukuda K. Positive and negative predic-tive values of BI-RADS-MRI descriptors for focal breast masses [J]. Magn Reson Med Sci,2006,5(1):7-15.
  • 5FischerU.实用磁共振乳腺成像[M].北京:中国医药科技出版社.2010:5.
  • 6Li X, Arlinghaus LR, Chakravarthy AB, et al.Towards optimi- zation of DCE-MRI analysis for early prediction of the re- sponse of breast cancer patients to neoadjuvant chemotherapy [ J ]. Proc Intl Soc Mag Reson Med ( ISMRM), 2012, 20 (5) :1464- 1478.
  • 7MATHEW J, ASGEIRSSON K S, AGRAWAL A, et al. Neoadjuvant chemotherapy in locally advanced primary breast cancers: the Nottingham experience [ J ] . Eur J Surg Oncol, 2007, 33 (8): 972-976.
  • 8PICKLES M D, LOWRY M, MANTON D J, et al. Prognostic value of DCE-MRI in breast cancer patients undergoing neoadjuvant chemotherapy: a comparison with traditional survival indicators [ J ] . Eur Radiol, 2015, 25(4): 1097- 1106.
  • 9WARREN R M, POINTON L, THOMPSON D, et al. Reading protocol for dynamic contrast-enhanced MR images of the breast: sensitivity and specificity analysis [ J ] . Radiology, 2005, 236(3): 779-788.
  • 10ETXANO J, INSAUST1 L P, ELIZALDE A, et ai. Analysis of the changes induced by hevacizumab using a high temporal resolution DCE-MRI as prognostic factors for response to further neoadjuvant chemotherapy [ J ]. Aeta Radiol, 2015, 56(1 l): 1300-1307,.

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