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哪种参数会影响溶骨性转移放疗后的局部无病生存期?一项包含放疗前后MRI(包括扩散加权成像)的回顾性研究。

Which Parameter Influences Local Disease-Free Survival after Radiation Therapy Due to Osteolytic Metastasis? A Retrospective Study with Pre- and Post-Radiation Therapy MRI including Diffusion-Weighted Images.

作者信息

Lee Jiyeong, Yoon Young Cheol, Lee Ji Hyun, Kim Hyun Su

机构信息

Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.

出版信息

J Clin Med. 2021 Dec 25;11(1):106. doi: 10.3390/jcm11010106.

DOI:10.3390/jcm11010106
PMID:35011847
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8745622/
Abstract

Although radiation therapy (RT) plays an important role in the palliation of localized bone metastases, there is no consensus on a reliable method for evaluating treatment response. Therefore, we retrospectively evaluated the potential of magnetic resonance imaging (MRI) using apparent diffusion coefficient (ADC) maps and conventional images in whole-tumor volumetric analysis of texture features for assessing treatment response after RT. For this purpose, 28 patients who received RT for osteolytic bone metastasis and underwent both pre- and post-RT MRI were enrolled. Volumetric ADC histograms and conventional parameters were compared. Cox regression analyses were used to determine whether the change ratio in these parameters was associated with local disease progression-free survival (LDPFS). The ADC ADC ADC ADC, maximum diameter, and volume of the target lesions after RT significantly increased. Change ratios of ADC < 1.41, tumor diameter ≥ 1.17, and tumor volume ≥ 1.55 were significant predictors of poor LDPFS. Whole-tumor volumetric ADC analysis might be utilized for monitoring patient response to RT and potentially useful in predicting clinical outcomes.

摘要

尽管放射治疗(RT)在缓解局部骨转移方面发挥着重要作用,但对于评估治疗反应的可靠方法尚无共识。因此,我们回顾性评估了磁共振成像(MRI)利用表观扩散系数(ADC)图和传统图像在全肿瘤体积分析纹理特征以评估RT后治疗反应的潜力。为此,纳入了28例接受溶骨性骨转移RT且在RT前后均接受MRI检查的患者。比较了体积ADC直方图和传统参数。采用Cox回归分析来确定这些参数的变化率是否与局部无病生存期(LDPFS)相关。RT后靶病变的ADC、最大直径和体积显著增加。ADC变化率<1.41、肿瘤直径≥1.17和肿瘤体积≥1.55是LDPFS不良的显著预测因素。全肿瘤体积ADC分析可用于监测患者对RT的反应,并可能有助于预测临床结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/e56cfa8118ee/jcm-11-00106-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/41a60f83190a/jcm-11-00106-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/69ab8a6af151/jcm-11-00106-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/53a654c01dfd/jcm-11-00106-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/e56cfa8118ee/jcm-11-00106-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/41a60f83190a/jcm-11-00106-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/69ab8a6af151/jcm-11-00106-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/53a654c01dfd/jcm-11-00106-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/8745622/e56cfa8118ee/jcm-11-00106-g004.jpg

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