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在预测直肠癌放化疗反应方面,定量成像比分子标志物表现更优。

Quantitative imaging outperforms molecular markers when predicting response to chemoradiotherapy for rectal cancer.

作者信息

Joye Ines, Debucquoy Annelies, Deroose Christophe M, Vandecaveye Vincent, Cutsem Eric Van, Wolthuis Albert, D'Hoore André, Sagaert Xavier, Zhou Mu, Gevaert Olivier, Haustermans Karin

机构信息

KU Leuven - University of Leuven, Department of Oncology, B-3000 Leuven, Belgium; University Hospitals Leuven, Radiation Oncology, B-3000 Leuven, Belgium.

KU Leuven - University of Leuven, Department of Oncology, B-3000 Leuven, Belgium.

出版信息

Radiother Oncol. 2017 Jul;124(1):104-109. doi: 10.1016/j.radonc.2017.06.013. Epub 2017 Jun 21.

DOI:10.1016/j.radonc.2017.06.013
PMID:28647399
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5641595/
Abstract

BACKGROUND AND PURPOSE

To explore the integration of imaging and molecular data for response prediction to chemoradiotherapy (CRT) for rectal cancer.

MATERIAL AND METHODS

Eighty-five rectal cancer patients underwent preoperative CRT. F-FDG PET/CT and diffusion-weighted imaging (DWI) were acquired before (TP1) and during CRT (TP2) and prior to surgery (TP3). Inflammatory cytokines and gene expression were analysed. Tumour response was defined as ypT0-1N0. Multivariate models were built combining the obtained parameters. Final models were calculated on the data combination with the highest AUC.

RESULTS

Twenty-two patients (26%) achieved ypT0-1N0 response. F-FDG PET/CT had worse predictive performance than DWI and T2-volumetry (AUC 0.61±0.04, 0.72±0.03, and 0.72±0.02, respectively). Combining all imaging parameters increased the AUC to 0.81±0.03. Adding cytokines or gene expression did not improve the AUC (AUC of 0.72±0.06 and 0.79±0.04 respectively). Final models combining F-FDG PET/CT, DWI, and T2-weighted volumetry at all TPs and using only TP1 and TP3, allowed ypT0-1N0 prediction with a 75% sensitivity, 94% specificity and PPV of 80%.

CONCLUSIONS

Combining F-FDG PET/CT, DWI, and T2-weighted MRI volumetry obtained before CRT and prior to surgery may help physicians in selecting rectal cancer patients for organ-preservation.

摘要

背景与目的

探讨整合影像和分子数据以预测直肠癌放化疗(CRT)疗效。

材料与方法

85例直肠癌患者接受术前CRT。在CRT前(TP1)、CRT期间(TP2)及手术前(TP3)进行¹⁸F-FDG PET/CT和扩散加权成像(DWI)检查。分析炎性细胞因子和基因表达。肿瘤反应定义为ypT0-1N0。结合所获参数建立多变量模型。基于AUC最高的数据组合计算最终模型。

结果

22例患者(26%)达到ypT0-1N0反应。¹⁸F-FDG PET/CT的预测性能不如DWI和T2容积测量(AUC分别为0.61±0.04、0.72±0.03和0.72±0.02)。综合所有影像参数可将AUC提高至0.81±0.03。加入细胞因子或基因表达未改善AUC(分别为0.72±0.06和0.79±0.04)。最终模型结合所有TP时的¹⁸F-FDG PET/CT、DWI和T2加权容积测量,且仅使用TP1和TP3,预测ypT0-1N0的灵敏度为75%,特异度为94%,阳性预测值为80%。

结论

整合CRT前及手术前获得的¹⁸F-FDG PET/CT、DWI和T2加权MRI容积测量结果,可能有助于医生选择适合保留器官的直肠癌患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc7d/5641595/5a70d25f36aa/nihms910048f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc7d/5641595/47466fa907ea/nihms910048f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc7d/5641595/5a70d25f36aa/nihms910048f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc7d/5641595/47466fa907ea/nihms910048f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc7d/5641595/5a70d25f36aa/nihms910048f2.jpg

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