Zhou Yongping, Wang Jitao, Zhang Shuang-Lin, Wang Hao, Yan Yong, Qi Xiumin, Chen Shubo, Chen Fang-Ming
Department of Hepatobiliary Surgery, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China.
Department of Hepatobiliary Surgery, Xingtai Institute of Cancer Control, The Affiliated Xingtai People's Hospital of Hebei Medical University, Xingtai, China.
Ann Surg Oncol. 2023 Feb;30(2):1206-1216. doi: 10.1245/s10434-022-12664-0. Epub 2022 Oct 20.
The current radiologic criteria for assessing intraoperative superior mesenteric-portal vein (SMPV) involvement (i.e., presence of tumor-SMPV contact >180° or venous deformity) in pancreatic ductal adenocarcinoma (PDAC) are highly specific but insufficiently sensitive. Therefore, development of improved markers for a more accurate prediction is essential. This study aimed to develop a risk score model to estimate SMPV involvement in PDAC using radiomics analysis of computed tomography (CT) images.
Data from two institution-based cohorts of PDAC patients undergoing preoperative CT scans were used to develop (n = 173) and validate (n = 156) a radiomics-based risk score of SMPV involvement using clinical and imaging variables. A radiomics signature was developed based on 2436 radiomic features extracted from the semi-automatic three-dimensional segmentation ofn CT images. The SMPV involvement risk score was built using multivariate logistic regression and compared with the current radiologic criteria.
The study surgically identified SMPV involvement in 59 (34.1%) and 57(36.5 %) patients with PDAC in the development and validation cohorts, respectively. A 12-feature-based radiomics signature achieved areas under receiver operating characteristics curves (AUCs) of 0.89 or greater for estimating SMPV involvement. Multivariate regression identified the radiomics signature and SMPV deformity as associated with SMPV involvement. The risk score model had significantly improved AUC (0.928 vs. 0.768; P < 0.001) and sensitivity (84.2% vs. 66.7%; P = 0.025) in the radiologic evaluation.
The novel risk score in this study, combining radiomics signature and venous deformity, demonstrated promising performance for estimating SMPV involvement preoperatively for patients with PDAC.
目前用于评估胰腺导管腺癌(PDAC)术中肠系膜上静脉-门静脉(SMPV)受累情况的放射学标准(即肿瘤与SMPV接触>180°或静脉畸形)具有高度特异性,但敏感性不足。因此,开发改进的标志物以进行更准确的预测至关重要。本研究旨在通过计算机断层扫描(CT)图像的放射组学分析,建立一个风险评分模型来估计PDAC中SMPV的受累情况。
来自两个基于机构的PDAC患者队列的数据,这些患者在术前接受了CT扫描,用于使用临床和影像变量开发(n = 173)和验证(n = 156)基于放射组学的SMPV受累风险评分。基于从CT图像的半自动三维分割中提取的2436个放射组学特征,开发了一个放射组学特征。使用多变量逻辑回归构建SMPV受累风险评分,并与当前的放射学标准进行比较。
在开发队列和验证队列中,该研究通过手术分别确定了59例(34.1%)和57例(36.5%)PDAC患者存在SMPV受累。基于12个特征的放射组学特征在估计SMPV受累方面,受试者操作特征曲线(AUC)面积达到0.89或更高。多变量回归确定放射组学特征和SMPV畸形与SMPV受累相关。在放射学评估中,风险评分模型的AUC(0.928对0.768;P < 0.001)和敏感性(84.2%对66.7%;P = 0.025)有显著改善。
本研究中的新型风险评分结合了放射组学特征和静脉畸形,在术前估计PDAC患者的SMPV受累情况方面表现出了良好的性能。