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网络出版:2017-04-13,
纸质出版:2017-04-13
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胡飞翔, 童彤, 彭卫军. 弥散峰度成像评价及预测直肠癌新辅助放化疗后病理完全缓解的价值[J]. 肿瘤影像学, 2017,26(1):49-57.
胡飞翔,童彤,彭卫军. 弥散峰度成像评价及预测直肠癌新辅助放化疗后病理完全缓解的价值[J]. 肿瘤影像学, 2017, 26(1): 49-57
目的:
探讨弥散峰度成像(diffusion kurtosis imaging,DKI)预测及评价直肠癌新辅助放化疗后病理完全缓解(pathologic complete response,pCR)的应用价值。
方法:
连续入组40例局部进展期直肠癌患者,患者在放化疗前后各进行一次3.0T MRI检查。在新辅助治疗前后分别测量肿瘤的表观弥散系数(apparent diffusion coefficient,ADC)均值、校正弥散系数(corrected diffusion coefficient,D)均值(MD)及弥散峰度系数(excess diffusion kurtosis coefficient,K)均值(MK),并与全直肠系膜切除术(total mesorectal excision,TME)后的病理结果进行比较。根据病理结果,将患者分为pCR和非pCR组。采用非参数Mann-Whitney U检验比较两组治疗前后各参数及其变化的差异,Kruskal-Wallis检验评估pCR与非pCR均值差异,受试者工作特征 (receiver operating characteristic,ROC) 曲线分析法计算各参数预测新辅助治疗有效的曲线下面积(area under curve,AUC)、灵敏度、特异度、阳性预计值、阴性预计值、准确率及截断值。
结果:
40例患者中(pCR,
n
=10;非pCR,
n
=30),MKpre和MKpost在pCR组中(0.720.10和0.560.06)显著低于非pCR组(0.870.11和0.670.08)(
P
<0.001)。ADCpost和ADCratio在pCR组中(1.310.13和0.640.40)显著高于非pCR组(1.150.18和0.360.29)(P值分别为0.011和0.026)。此外,两组间MDpost和MDratio也有统计学差异(分别为2.510.34
vs
. 1.990.30,
P
=0.001;0.820.51
vs
. 0.370.34,
P
=0.003)。然而,两组间ADCpre、MDpre和MKratio差异无统计学意义(
P
值分别为0.499、0.510和0.589)。AUC结果显示,相比其他参数,MKpost具有最佳诊断效能(AUC为0.893,截断值为0.590 5),且具有90%的较高准确率。
结论:
DKI和弥散加权成像(diffusion weighted imaging,DWI)均展示出较好的预测及评价直肠癌新辅助放化疗后病理完全缓解的潜力。DKI参数中,尤其是MK
post在评估局部进展期直肠癌患者pCR与非pCR中显示出比DWI更高的特异度。治疗前的ADC和MD值并不可靠。
Objective:
To investigate the applicable value of diffusion kurtosis imaging (DKI) in assessing the pathological complete response (pCR) to neoadjuvant chemoradiation therapy (CRT) in locally advanced rectal cancer (LARC).
Methods:
Fortyconsecutive patients diagnosed with LARC were prospectively enrolled and underwent MRI before and after CRT on 3.0 T MRI. Apparent diffusion coefficient (ADC)
mean diffusion (MD)
and mean kurtosis (MK) values of the tumor were measured in pre-CRT and post-CRT phases and compared with histopathologic findings after total mesorectal excision (TME). According to the athological results
the patients were divided into pCR group and non-pCR group. The diffusion weighted imaging (DWI) and DKI parameters were compared between pCR and non-pCR groups
using the nonparametric Mann-Whitney U test. The Kruskal-Wallis test was used to assess differences in the means between pCR and non-pCR groups. The sensitivity
specificity
positive predictive value (PPV)
negative predictive value (NPV)
accuracy and area under the receiver operating characteristic (ROC) curve (AUC) for the evaluation of pCR were also calculated and compared between DKI and DWI models.
Results:
For a total of 40 rectal lesions (pCR
n
=10; non-pCR
n
=30)
the MKpre and MKpost values in pCR group (0.720.10 and 0.560.06
respectively) were significantly lower than those in non-pCR group (0.870.11 and 0.670.08
respectively) (
P
0.001). The ADCpost and the ratio of apparent diffusion coefficient (ADCratio) values were significantly higher in pCR group (1.310.13 and 0.640.40
respectively) than those in non-pCR group (1.150.18 and 0.360.29
respectively) (
P
=0.011 and
P
=0.026
respectively). In addition
the MDpost and the ratio of mean diffusion (MDratio) (2.510.34
vs
. 1.990.30
P
=0.001; 0.820.51
vs
. 0.370.34
P
=0.003
respectively) were significantly different
whereas the ADCpre
MDpre
and the ratio of mean kurtosis (MKratio) were not significantly different between the two groups (
P
=0.499
0.510 and 0.589
respectively). The area under the receiver operating characteristic curve (AUROC) for the assessment of pCR was greater using MKpost (0.893
cutoff value=0.590 5) compared with other parameters. And overall accuracy of MKpost (90%) was the highest.
Conclusion:
Both DKI and conventional DWI exhibit potential for predicting treatment response to neoadjuvant CRT in rectal cancer. The DKI parameters
especially MKpost
shows higher specificity than conventional DWI in assessment of pCR and non-pCR in the patients with LARC
while the pre-CRT ADC and MD values are not reliable.
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