Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America.
Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America; Department of Radiology, University of Southern California, Los Angeles, CA 90033, United States of America.
Clin Imaging. 2020 Jul;63:83-93. doi: 10.1016/j.clinimag.2020.02.016. Epub 2020 Feb 28.
Soft-tissue sarcomas are a heterogeneous class of tumors that exhibit varying degrees of cellularity and cystic degeneration in response to neoadjuvant chemotherapy. This creates unique challenges in the radiographic assessment of treatment response when relying on conventional markers such as tumor diameter (RECIST criteria). In this case series, we provide a narrative discussion of technique development for whole tumor volume quantitative magnetic resonance imaging (q-MRI), highlighting cases from a small pilot study of 8 patients (9 tumors) pre- and post-neoadjuvant chemotherapy. One of the methods of q-MRI analysis (the "constant-cutoff" technique) was able to predict responders versus non-responders based on percent necrosis and viable tumor volume calculations (p = 0.05), respectively. Our results suggest that q-MRI of whole tumor volume contrast enhancement may have a role in tumor response assessment, although further validation is needed.
软组织肉瘤是一类异质性肿瘤，在新辅助化疗的作用下，会出现不同程度的细胞密度和囊性变性。这给基于肿瘤直径等常规标志物（RECIST 标准）的治疗反应放射学评估带来了独特的挑战。在本病例系列中，我们针对全肿瘤体积定量磁共振成像（q-MRI）的技术发展进行了叙述性讨论，重点介绍了 8 名患者（9 个肿瘤）新辅助化疗前后的小型试点研究中的病例。q-MRI 分析的一种方法（“恒定截止”技术）能够基于坏死百分比和存活肿瘤体积计算分别预测应答者和无应答者（p=0.05）。我们的结果表明，全肿瘤体积对比增强 q-MRI 可能在肿瘤反应评估中具有一定作用，但需要进一步验证。
