Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No.88 Keling Road, Suzhou New District, Jiangsu, 215163, China.
School of Communication and Information Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China.
Eur J Radiol. 2017 Oct;95:228-235. doi: 10.1016/j.ejrad.2017.08.021. Epub 2017 Aug 30.
To find early predictors of histologic response in soft tissue sarcoma through volume transfer constant (K) analysis based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).
11 Patients with soft tissue sarcoma of the lower extremity that underwent preoperative chemoradiotherapy followed by limb salvage surgery were included in this retrospective study. For each patient, DCE-MRI data sets were collected before and two weeks after therapy initiation, and histologic tumor cell necrosis rate (TCNR) was reported at surgery. The DCE-MRI volumes were aligned by registration. Then, the aligned volumes were used to obtain the K variation map. Accordingly, three sub-volumes (with increased, decreased or unchanged K) were defined and identified, and fractions of the sub-volumes, denoted as F, F and F, respectively, were calculated. The predictive ability of volume fractions was determined by using area under a receiver operating characteristic curve (AUC). Linear regression analysis was performed to investigate the relationship between TCNR and volume fractions. In addition, the K values of the sub-volumes were compared.
The AUC for F (0.896) and F (0.833) were larger than that for change of tumor longest diameter ΔD (0.625) and the change of mean KΔK¯ (0.792). Moreover, the regression results indicated that TCNR was directly proportional to F (R=0.75, P=0.0003), while it was inversely proportional to F (R=0.77, P=0.0002). However, TCNR had relatively weak linear relationship with ΔK¯ (R=0.64, P=0.0018). Additionally, TCNR did not have linear relationship with DD (R=0.16, P=0.1246).
The volume fraction F and F have potential as early predictors of soft tissue sarcoma histologic response.
通过基于动态对比增强磁共振成像（DCE-MRI）的容积转移常数（K）分析，寻找软组织肉瘤组织学反应的早期预测因子。
本回顾性研究纳入了 11 例接受术前放化疗后行保肢手术的下肢软组织肉瘤患者。每位患者在治疗开始前和治疗开始后两周采集 DCE-MRI 数据集，并在手术时报告组织学肿瘤细胞坏死率（TCNR）。通过配准使 DCE-MRI 容积对齐。然后，使用对齐的容积获得 K 变化图。据此，定义并识别了三个子容积（K 增加、减少或不变），并计算了子容积的分数，分别表示为 F、F 和 F。通过受试者工作特征曲线下面积（AUC）来确定容积分数的预测能力。进行线性回归分析以研究 TCNR 与容积分数之间的关系。此外，还比较了子容积的 K 值。
F 的 AUC（0.896）和 F 的 AUC（0.833）大于肿瘤最长直径 ΔD（0.625）和平均 KΔK¯ 的变化（0.792）。此外，回归结果表明 TCNR 与 F 呈正相关（R=0.75，P=0.0003），而与 F 呈负相关（R=0.77，P=0.0002）。然而，TCNR 与 ΔK¯ 仅具有较弱的线性关系（R=0.64，P=0.0018）。此外，TCNR 与 DD 没有线性关系（R=0.16，P=0.1246）。
F 和 F 的容积分数具有预测软组织肉瘤组织学反应的潜力。
