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建立基于术前多参数MRI的形态学、定性、半定量、一阶和高阶放射组学预测模型,用于未分化多形性肉瘤的治疗反应预测,以取代实体瘤疗效评价标准(RECIST)。

Building a pre-surgical multiparametric-MRI-based morphologic, qualitative, semiquantitative, first and high-order radiomic predictive treatment response model for undifferentiated pleomorphic sarcoma to replace RECIST.

作者信息

Valenzuela Raul F, Duran-Sierra Elvis, Antony Mathew, Amini Behrang, Lo Sam, Torres Keila E, Benjamin Robert S, Ma Jingfei, Hwang Ken-Pin, Stafford R Jason, Araujo Dejka, Bishop Andrew J, Ratan Ravin, Wang Wei-Lien, Espinoza Jossue, Valenzuela Pia V, Wu Chengyue, Madewell John E, Murphy William A, Costelloe Colleen M

机构信息

The University of Texas MD Anderson Cancer Center, Houston, United States.

Texas A and M University, College Station, United States.

出版信息

Cancer Imaging. 2025 Apr 26;25(1):56. doi: 10.1186/s40644-025-00873-1.

DOI:10.1186/s40644-025-00873-1
PMID:40281609
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12032704/
Abstract

BACKGROUND

Undifferentiated pleomorphic sarcoma (UPS) is the largest subgroup of soft-tissue sarcomas. It demonstrates post-therapeutic hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. Our research aims to establish the multiparametric MRI (mp-MRI) value for predicting UPS treatment response.

METHODS

An IRB-approved retrospective study included 33 extremity UPS patients with pre-operative mp-MRI, including diffusion-weighted imaging (DWI), contrast-enhanced susceptibility-weighted imaging (CE-SWI), and perfusion-weighted imaging with dynamic contrast-enhancement (PWI/DCE), and surgical resection between February 2021 and May 2023. Lesions were visually classified on CE-SWI into one of 6 morphology patterns. On PWI/DCE, lesions were classified into one of 6 patterns, and time-intensity curves (TICs) were classified as types I-V. Patients were categorized into three groups based on the percentage of pathology-assessed treatment effect (PATE) in the surgical specimen: Responders (> = 90% PATE, n = 16), partial-responders (31-89% PATE, n = 10), and non-responders (< = 30% PATE, n = 7).

RESULTS

At post-radiation therapy (PRT), a CE-SWI Complete-Ring pattern was observed in 71% of responders (p = 7.71 × 10). On PWI/DCE images, 79% of responders displayed a Capsular pattern (p = 1.49 × 10), and 100% demonstrated a TIC-type II (p = 8.32 × 10). ROC analysis comparing responders (n = 14) vs. partial/non-responders (n = 16) at PRT showed that the model combining PWI/DCE TIC-type II, PWI/DCE Capsular pattern, and CE-SWI Complete-Ring pattern yielded the highest classification performance (AUC = 0.99), outperforming PWI/DCE Capsular + TIC-type II (AUC = 0.97), PWI/DCE Capsular (AUC = 0.89), PWI/DCE TIC-type II (AUC = 0.88), and CE-SWI Complete Ring (AUC = 0.79). Contrary to prior reports, DWI/ADC played a secondary role in predicting response: ADC mean & skewness (AUC = 0.63). RECIST demonstrated 100% stability at PRT and 100% pseudo-progression at PC in responders and partial/non-responders (AUC = 0.47).

CONCLUSION

Mp-MRI-derived features are valuable in assessing UPS treatment response. A pre-operative model that combines PWI/DCE TIC-type II, PWI/DCE Capsular pattern, and CE-SWI Complete Ring pattern can reliably predict successfully treated UPS with > = 90% PATE, outperforming RECIST, which was proven unreliable in separating responders from partial/non-responders. Institutions that have not yet implemented CE-SWI can rely on a single-sequence approach based on PWI/DCE, combining the presence of TIC II and Capsular enhancement as criteria for response prediction.

摘要

背景

未分化多形性肉瘤(UPS)是软组织肉瘤中最大的亚组。它表现出治疗后含铁血黄素沉积、肉芽组织形成、纤维化和钙化。我们的研究旨在建立多参数MRI(mp-MRI)预测UPS治疗反应的价值。

方法

一项经机构审查委员会批准的回顾性研究纳入了33例接受术前mp-MRI检查的四肢UPS患者,包括扩散加权成像(DWI)、对比增强磁敏感加权成像(CE-SWI)和动态对比增强灌注加权成像(PWI/DCE),这些患者于2021年2月至2023年5月期间接受了手术切除。在CE-SWI上,病变在视觉上被分类为6种形态模式之一。在PWI/DCE上,病变被分类为6种模式之一,时间-强度曲线(TIC)被分类为I-V型。根据手术标本中病理评估的治疗效果(PATE)百分比,将患者分为三组:反应者(PATE≥90%,n = 16)、部分反应者(PATE 31-89%,n = 10)和无反应者(PATE≤30%,n = 7)。

结果

在放射治疗后(PRT),71%的反应者观察到CE-SWI完全环形模式(p = 7.71×10)。在PWI/DCE图像上,79%的反应者表现为包膜模式(p = 1.49×10),100%表现为TIC-II型(p = 8.32×10)。PRT时比较反应者(n = 14)与部分/无反应者(n = 16)的ROC分析表明,结合PWI/DCE TIC-II型、PWI/DCE包膜模式和CE-SWI完全环形模式的模型具有最高的分类性能(AUC = 0.99),优于PWI/DCE包膜+TIC-II型(AUC = 0.97)、PWI/DCE包膜(AUC = 0.89)、PWI/DCE TIC-II型(AUC = 0.88)和CE-SWI完全环形(AUC = 0.79)。与先前的报道相反,DWI/ADC在预测反应中起次要作用:ADC平均值和偏度(AUC = 0.63)。RECIST在PRT时显示100%的稳定性,在反应者和部分/无反应者的PC时显示100%的假进展(AUC = 0.47)。

结论

mp-MRI衍生特征在评估UPS治疗反应方面具有价值。一种结合PWI/DCE TIC-II型、PWI/DCE包膜模式和CE-SWI完全环形模式的术前模型能够可靠地预测PATE≥90%的成功治疗的UPS,优于RECIST,后者在区分反应者与部分/无反应者方面已被证明不可靠。尚未实施CE-SWI的机构可以依赖基于PWI/DCE的单序列方法,将TIC II的存在和包膜强化作为反应预测标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e83a/12032704/301c42ad2943/40644_2025_873_Fig7_HTML.jpg
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