Radiomics by Quantitative Diffusion-weighted MRI for Predicting Response in Patients with Extremity Soft-tissue Undifferentiated Pleomorphic Sarcoma

Valenzuela Rf, Duran-Sierra E, Canjirathinkal M, Amini B, Torres Ke, Benjamin Rs, Ma J, Wang Wl, Hwang Kp, Stafford Rj, Wu C, Zarzour Am, Bishop Aj, Lo S, Madewell Je, Kumar R, M. Wa, Costelloe Cm
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Abstract

Purpose: This study aimed to determine the relevance of first- and high-order radiomic features derived from Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) maps for predicting treatment response in patients with Undifferentiated Pleomorphic Sarcoma (UPS). Methods: This retrospective study included 33 extremity UPS patients with pre-surgical DWI/ADC and surgical resection. Manual volumetric tumor segmentation was performed on DWI/ADC maps acquired at Baseline (BL), Post-Chemotherapy (PC), and Post-Radiation Therapy (PRT). The percentage of pathology-assessed treatment effect (PATE) in surgical specimens categorized patients into responders (R; PATE ≥ 90%; 16 patients), partial-responders (PR; 89% - 31% PATE; 10 patients), and non-responders (NR; PATE ≤ 30%; 7 patients). 107 radiomic features were extracted from BL, PC, and PRT ADC maps. Statistical analyses compared R vs. PR/NR. Results: Pseudo-progression at PC and universal stability at PRT were observed in R and PR/NR based on RECIST, WHO, and volumetric assessments. At PRT, responders displayed a 35% increase in ADC mean (p = 0.0034), a 136% decrease in skewness (p = 0.0001), and a 363% increase in the 90th percentile proportion (p = 0.0009). Comparing R vs. PR/NR at BL, statistically significant differences were observed in glrlm_highgraylevelrunemphasis (p = 0.0081), glrlm_shortrunhighgraylevelemphasis (p = 0.0138), gldm_highgraylevelemphasis (p = 0.0138), glcm_sumaverage (p = 0.0164), glcm_jointaverage (p = 0.0164), and glcm_autocorrelation (p = 0.0193). At PC, firstorder_meanabsolutedeviation (p = 0.0078), firstorder_interquartilerange (p = 0.0109), firstorder_variance (p = 0.0109), and firstorder_robustmeanabsolutedeviation (p = 0.0151) provided statistically significant differences. Conclusion: Observing a high post-therapeutic ADC mean, low skewness, and high 90th percentile proportion with respect to baseline is predictive of successfully treated UPS patients presenting > 90% PATE. Highly significant higher-order radiomic results include glrlm-highgraylevelrunemphasis (BL) and first-order-mean absolute deviation (PC).
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通过定量弥散加权核磁共振成像预测四肢软组织未分化多形性肉瘤患者反应的放射组学方法
目的:本研究旨在确定由弥散加权成像(DWI)和表观弥散系数(ADC)图得出的一阶和高阶放射学特征与预测未分化多形性肉瘤(UPS)患者治疗反应的相关性。方法:这项回顾性研究纳入了33例四肢UPS患者,这些患者均在手术前接受了DWI/ADC检查和手术切除。在基线(BL)、化疗后(PC)和放疗后(PRT)获得的 DWI/ADC 图上进行手动肿瘤体积分割。根据手术标本中病理评估治疗效果(PATE)的百分比将患者分为应答者(R;PATE ≥ 90%;16 例患者)、部分应答者(PR;PATE 89% - 31%;10 例患者)和无应答者(NR;PATE ≤ 30%;7 例患者)。从BL、PC和PRT ADC图中提取了107个放射学特征。统计分析比较了 R 与 PR/NR。结果显示根据RECIST、WHO和容积评估结果,R和PR/NR在PC时均出现假性进展,在PRT时普遍稳定。在 PRT 时,应答者的 ADC 平均值增加了 35%(p = 0.0034),偏度降低了 136%(p = 0.0001),第 90 百分位数比例增加了 363%(p = 0.0009)。比较 BL 时的 R 与 PR/NR,在 glrlm_highgraylevelrunemphasis(p = 0.0081)、glrlm_shortrunhighgraylevelemphasis(p = 0.0138)、gldm_highgraylevelemphasis(p = 0.0138)、glcm_sumaverage(p = 0.0164)、glcm_jointaverage(p = 0.0164)和 glcm_autocorrelation(p = 0.0193)。在个人计算机上,一阶均值折减方差(p = 0.0078)、一阶等差数列(p = 0.0109)、一阶方差(p = 0.0109)和一阶稳健均值折减方差(p = 0.0151)在统计上具有显著差异。结论与基线相比,治疗后 ADC 平均值高、偏度低、第 90 百分位数比例高,可预测治疗成功的 UPS 患者的 PATE > 90%。高度显著的高阶放射学结果包括 glrlm-highgraylevelrunemphasis (BL) 和一阶平均绝对偏差 (PC)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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