期刊文献+

动态对比增强MRI预测局部进展期直肠癌新辅助放化疗疗效的价值 被引量:29

Value of dynamic contrast-enhanced MRI in predicting response to neoadjuvant chemoradiation in locally advanced rectal cancer
原文传递
导出
摘要 目的:探讨动态增强MRI(DCE-MRI)预测局部进展期直肠癌术前新辅助放化疗疗效的价值。方法前瞻性收集经结肠镜病理证实为直肠癌,行新辅助放化疗后拟行根治性全直肠系膜切除术的局部进展期直肠癌患者纳入研究。患者均在新辅助放化疗前2~5 d、术前1~4 d行直肠DCE-MRI检查,记录DCE-MRI参数,包括转运常数(Ktrans)、细胞外血管外空间的体积分数(Ve)和速率常数(Kep)。术后依据病理结果将患者分为病理完全缓解(pCR)组和非pCR组。采用t检验比较pCR组与非pCR组各DCE-MRI参数值及治疗前后参数变化值间的差异,采用ROC评价治疗前各参数值鉴别pCR和非pCR的效能,并确定Ktrans诊断阈值。结果38例患者纳入研究,pCR组12例,非pCR组26例。新辅助放化疗前,pCR组的Ktrans、Kep和Ve分别为(1.25±0.56)/min、(2.10±1.61)/min和0.73±0.34,非pCR组分别为(0.46±0.39)/min、(1.15±0.77)/min和0.32±0.12,差异均有统计学意义(t值分别为3.45、5.67和6.23,P均〈0.05)。新辅助放化疗后,pCR组的Ktrans、Kep和Ve分别为(0.28±0.13)/min、(0.62±0.27)/min和0.21±0.13,非pCR组分别为(0.32±0.12)/min、(0.83±0.42)/min和0.17±0.10,差异均无统计学意义(P均〉0.05),且2组间治疗前后上述参数的变化值差异也均无统计学意义(P均〉0.05)。治疗前Ktrans预测疗效为pCR的ROC曲线下面积为0.837,以Ktrans值为0.66/min鉴别pCR组和非pCR组,预测疗效为pCR的敏感度和特异度分别为75.0%(9/12)和96.2%(25/26)。Kep和Ve预测pCR的ROC曲线下面积分别为0.655和0.654。结论 DCE-MRI预测局部进展期直肠癌新辅助放化疗疗效具有一定价值,Ktrans值预测价值最大。 Objective To determine the value of dynamic contrast enhanced (DCE-MRI) in predicting treatment response before preoperative chemoradiotherapy in locally advanced rectal cancer. Methods A cohort of consecutive patients with histologically confirmed rectal adenocarcinoma treated with preoperative chemoradiotherapy followed by total mesorectal excision (TME) surgery was enrolled in a prospective, pilot trial. All enrolled patients were examined using DCE-MRI at two time points: 2 to 5 days before neoadjuvant chemoradiation, 1 to 4 days before surgery. The following perfusion parameters (Ktrans, Kep, Ve) were measured for tumor. The patients were classified into pathological complete response (pCR) and non-pCR group according to the pathological results after operation. Those perfusion parameters were compared between the pCR and the non-pCR group and between before and after CRT in pCR and the non-pCR group with the t test. Receiver-operating curves (ROC) were constructed to further investigate the predictive value of Ktrans, Kep, Ve before neoadjuvant chemoradiation and were used to determine a threshold value at which patents with pCR could be distinguished from patients without complete response. Results The final study population consisted of 38 patients. There were 12 patients with a pCR and 26 patients with non-pCR. Before neoadjuvant chemoradiation, the mean tumor Ktrans, Kep and Ve for pCR group were (1.25 ± 0.56)/min, (2.10 ± 1.61)/min and 0.73 ± 0.34, respectively, for non-pCR group they were (0.46 ± 0.39)/min, (1.15 ± 0.77)/min and 0.32±0.12, respectively. All perfusion parameters showed significant difference between those two groups(t values were 3.45,5.67 and 6.23 respectively, all P〈0.05). After neoadjuvant chemoradiation, the mean tumor Ktrans, Kep and Ve for pCR group were (0.28 ± 0.13)/min, (0.62 ± 0.27)/min and 0.21 ± 0.13 respectively, for non-pCR group, they were (0.32±0.12)/min, (0.83±0.42)/min and 0.17±0.10, respectively. All perfusion parameters showed no difference between those two groups(P〉0.05), as well as the changes before and after neoadjuvant chemoradiation in those groups(P〉0.05). ROC analysis for Ktrans pre-treatment revealed that Ktrans had an AUC of 0.837 in predicting pCR. A Ktrans of 0.66/min was emerged as the optimal cut-off for distinguishing pCR from non-pCR and for Ktrans〉0.66/min, the sensitivity and specificity for predicting pCR were 75.0% (9/12) and 96.2% (25/26). Kep and Ve showed an AUC of 0.655 and 0.654 in predicting pCR. Conclusions In locally advanced rectal cancer, DCE-MRI can aid in predicting treatment response before preoperative chemoradiotherapy. Ktrans may become a better predictor to classify which patients will benefit from neoadjuvant chemoradiation.
出处 《中华放射学杂志》 CAS CSCD 北大核心 2015年第6期414-418,共5页 Chinese Journal of Radiology
基金 上海市科委引导项目(124119a0201) 上海市卫生局青年项目(20124y099)
关键词 直肠肿瘤 磁共振成像 对比研究 Rectal neoplasms Magnetic resonance imaging Comparative study
  • 相关文献

参考文献18

  • 1Maas M, Nelemans PJ, Valentini V, et al. Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data[J].Lancet Oncol, 2010, 11(9):835-844.
  • 2Das P, Skibber JM, Rodriguez-Bigas MA, et al. Clinical and pathologic predictors of locoregional recurrence, distant metastasis, and overall survival in patients treated with chemoradiation and mesorectal excision for rectal cancer[J]. Am J Clin Oncol, 2006, 29(3):219-224.
  • 3Martin ST, Heneghan HM, Winter DC. Systematic review and meta- analysis of outcomes following pathological complete response to neoadjuvant cbemoradiotherapy for rectal cancer [J].Br J Surg, 2012, 99(7):918-928.
  • 4Garcia-Aguilar J, Hernandez de Anda E, Sirivongs P, et al. A pathologic complete response to preoperative chemoradiation is associated with lower local recurrence and improved survival in rectal cancer patients treated by mesorectal excision[J]. Dis Colon Rectum. 2003,46(3):298-304.
  • 5Colorectal Cancer Collaborative Group. Adjuvant radiotherapy for rectal cancer: a systematic overview of 8,507 patients from 22 randomised trials[J].Lancet, 2001, 358 (9290):1291-1304.
  • 6Piedbois P, Rougier P, Buyse M, et al. Efficacy of intravenous continuous infusion of fluorouraeil compared with bolus administration in advanced colorectal cancer[J].J Clin Oncol, 1998, 16(1):301-308.
  • 7Vaupel P, Kallinowski F, Okunieff P. Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review[J].Caneer Res, 1989, 49(23):6449-6465.
  • 8Jackson A, O'Connor JP, Parker G J, et al. Imaging tumor vascular heterogeneity and angiogenesis using dynamic contrast-enhanced magnetic resonance imaging[J].Clin Cancer Res, 2007, 13(12):3449-3459.
  • 9Lira JS, Kim D, Back SE, et al. Perfusion MRI for the prediction of treatment response after preoperative chemoradiotherapy in locally advanced rectal eancer[J].Eur Radiol, 2012, 22(8):1693-1700.
  • 10George ML, Dzik-Jurasz AS, Padhani AR, et al. Non-invasive methods of assessing angiogenesis and their value in predicting response to treatment in eolorectal eancer[J].Br J Surg, 2001, 88(12):1628-1636.

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.

共引文献82

同被引文献217

  • 1顾晋.浅析我国结直肠癌领域存在的问题[J].中国医学前沿杂志(电子版),2011,3(6):1-4. 被引量:5
  • 2Paola De Nardi,Michele Carvello.How reliable is current imaging in restaging rectal cancer after neoadjuvant therapy?[J].World Journal of Gastroenterology,2013,19(36):5964-5972. 被引量:13
  • 3张晓鹏,李洁.直肠癌N分期相关影像学因素CT与病理对照研究[J].中华放射学杂志,2005,39(8):842-846. 被引量:16
  • 4孙应实,张晓鹏,唐磊.直肠癌扩散加权成像b值选取及其对直肠癌显示能力的评价[J].中国医学影像技术,2005,21(12):1839-1843. 被引量:44
  • 5Schwartzbaum JA, Fisher JL, Aldape KD, et al. Epidemiology and molecular pathology of glioma[J].Nat Clin Pract Neurol, 2006, 2(9):494-503.
  • 6Provenzale JM, Mukundan S, Dewhirst M. The role of blood-brain barrier permeability in brain tumor imaging and therapeutics[J].AJR Am J Roentgenol, 2005, 185(3):763-767.
  • 7Heye AK,Culling RD,Vald6s HernOndez Mdel C, et al. Assessment of blood-brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review. Neuroimage Clin, 2014,6:262-274.
  • 8Zhang N, Zhang L, Qiu B, et al. Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas[J].J Magn Reson Imaging, 2012, 36(2):355-363.
  • 9Nguyen TB, Cron GO, Mercier JF, et al. Diagnostic accuracy of dynamic contrast-enhanced MR_ imaging using a phase-derived vascular input function in the preoperativegrading of gliomas[J].AJNR Am J Neuroradiol, 2012, 33(8): 1539-1545.
  • 10Larsson HB, Stubgaard M, Frederiksen JL, et al. Quantitation of blood-brain barrier defect by magnetic resonance imaging and gadolinium-DTPA in patients with multiple sclerosis and brain tumors[J]. Magn Reson Med, 1990, 16( 1 ): 117 - 131.

引证文献29

二级引证文献253

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部