同时进行半定量和目视分析,提高了中期18f -氟脱氧葡萄糖/正电子发射断层扫描对晚期霍奇金淋巴瘤治疗结果的预测价值。

Alberto Biggi, Fabrizio Bergesio, Stephane Chauvie, Andrea Bianchi, Massimo Menga, Federico Fallanca, Martin Hutchings, Michele Gregianin, Michel Meignan, Andrea Gallamini
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引用次数: 8

摘要

背景:定性评价采用多维尔五分制(DS)是淋巴瘤正电子发射断层扫描(PET)治疗中期和结束时的金标准。在本研究中,我们评估了不同半定量参数与DS在霍奇金淋巴瘤(HL)中期PET (iPET)解释中的可靠性和预后价值。方法:本报告纳入了国际验证研究(IVS)的260例晚期HL患者中的82例,专家组评分为3至5分。两名核医学医生对患者的病史、临床资料和治疗结果不知情,使用以下参数独立评价iPET: DS、SUVmax、最活跃病变的SUVpeak、Qmax(病变SUVmax与肝脏SUVmax之比)和Qres(病变SUVpeak与肝脏SUVmean之比)。结合受体操作者特征分析,计算上述参数预测治疗结果的最佳灵敏度、特异度、阳性预测值和阴性预测值。结果:所有参数的预后价值相似,最佳临界值DS为4(曲线下面积[AUC], 0.81 95% CI: 0.72-0.90), SUVmax为3.81 (AUC 0.82 95% CI: 0.73-0.91), SUVpeak为3.20 (AUC 0.86 95% CI: 0.77-0.94), Qmax为1.07 (AUC 0.84 95% CI: 0.75-0.93)和Qres为1.38 (AUC 0.84 95% CI: 0.75-0.93)。不同参数的重现性相似,用Cohen’s kappa测量的观察者间变异率为:DS 0.93 (95% CI: 0.84-1.01), SUVmax 0.88 (0.77-0.98), SUVpeak 0.82 (0.70-0.95), Qres 0.85 (0.74-0.97), Qmax 0.78(0.65-0.92)。由于SUVpeak的高特异性(0.87)和DS的良好敏感性(0.86),在使用这两个参数时,阳性预测值从单独DS的0.65增加到0.79。当iPET的两个参数均为阳性时,3年无失败生存率(FFS)明显低于仅用定性参数(DS 4或5)解释iPET的患者:21%对35%。另一方面,阴性结果患者的FFS差异无统计学意义(88%比86%)。结论:本研究证明,将SUVpeak的半定量参数与DS的纯定性解释键相结合,可以提高iPET的阳性预测值,并可以更高的精度识别预后非常差的患者亚群。然而,这些回顾性发现应该在更大的患者队列中得到前瞻性的证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concomitant semi-quantitative and visual analysis improves the predictive value on treatment outcome of interim 18F-fluorodeoxyglucose/positron-emission tomography in advanced Hodgkin lymphoma.

Background: Qualitative assessment using the Deauville five-point Scale (DS) is the gold standard for interim and end-of treatment positron-emission tomography (PET) interpretation in lymphoma. In the present study we assessed the reliability and the prognostic value of different semi- quantitative parameters in comparison with DS for interim PET (iPET) interpretation in Hodgkin lymphoma (HL).

Methods: A cohort of 82 out of 260 patients with advanced stage HL enrolled in the International Validation Study (IVS), scored as 3 to 5 by the expert panel was included in the present report. Two nuclear medicine physicians blinded to patient history, clinical data and treatment outcome reviewed independently the iPET using the following parameters: DS, SUVmax, SUVpeak of the most active lesion, Qmax (ratio of SUVmax of the lesion to liver SUVmax) and Qres (ratio of SUVpeak of the lesion to liver SUVmean). The optimal sensitivity, specificity, positive and negative predictive value to predict treatment outcome was calculated for all the above parameters with the receiver operator characteristics analysis.

Results: The prognostic value of all parameters were similar, the best cut-off value being 4 for DS (area under the curve [AUC], 0.81 95% CI: 0.72-0.90), 3.81 for SUVmax (AUC 0.82 95% CI: 0.73-0.91), 3.20 for SUVpeak (AUC 0.86 95% CI: 0.77-0.94), 1.07 for Qmax (AUC 0.84 95% CI: 0.75-0.93) and 1.38 for Qres (AUC 0.84 95% CI: 0.75-0.93). The reproducibility of different parameters was similar as the inter-observer variability measured with Cohen's kappa were 0.93 (95% CI: 0.84-1.01) for the DS, 0.88 (0.77-0.98) for SUVmax, 0.82 (0.70-0.95) for SUVpeak, 0.85 (0.74-0.97) for Qres and 0.78 (0.65-0.92) for Qmax. Due to the high specificity of SUVpeak (0.87) and to the good sensitivity of DS (0.86), upon the use of both parameters the positive predictive value increased from 0.65 of the DS alone to 0.79. When both parameters were positive in iPET, 3-years Failure-Free Survival (FFS) was significantly lower compared to patients whose iPET was interpreted with qualitative parameters only (DS 4 or 5): 21% vs. 35%. On the other hand, the FFS of patients with negative results was not significantly different (88% vs. 86%).

Conclusions: In this study we demonstrated that, combining semi-quantitative parameters with SUVpeak to a pure qualitative interpretation key with DS, it is possible to increase the positive predictive value of iPET and to identify with higher precision the patients subset with a very dismal prognosis. However, these retrospective findings should be confirmed prospectively in a larger patient cohort.

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