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钆塞酸二钠增强 MRI 影像组学在诊断双表型肝细胞癌及患者预后评估中的应用

Radiomics for diagnosis of dual-phenotype hepatocellular carcinoma using Gd-EOB-DTPA-enhanced MRI and patient prognosis.

机构信息

Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, China.

Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, China.

出版信息

J Cancer Res Clin Oncol. 2019 Dec;145(12):2995-3003. doi: 10.1007/s00432-019-03062-3. Epub 2019 Oct 29.

Abstract

PURPOSE

To describe the clinical characteristics and outcomes of patients with dual-phenotype hepatocellular carcinoma (DPHCC) and investigate the use of radiomics to establish an image-based signature for preoperative differential diagnosis.

METHODS

This study included 50 patients with a postoperative pathological diagnosis of DPHCC (observation group) and 50 patients with CK7- and CK19-negative HCC (control group) who attended our hospital between January 2015 and December 2018. All patients underwent Gd-EOB-DTPA-enhanced MRI within 1 month before surgery. Arterial phase (AP), portal venous phase (PVP), delayed phase (DP) and hepatobiliary phase (HBP) images were transferred into a radiomics platform. Volumes of interest covered the whole tumor. The dimensionality of the radiomics features were reduced using LASSO. Four classifiers, including multi-layer perceptron (MLP), support vector machines (SVM), logistic regression (LR) and K-nearest neighbor (KNN) were used to distinguish DPHCC from CK7- and CK19-negative HCC. Kaplan-Meier survival analysis was used to assess 1-year disease-free survival (DFS) and overall survival (OS) in the observation and control groups.

RESULTS

The best preoperative diagnostic power for DPHCC will likely be derived from a combination of different phases and classifiers. The sensitivity, specificity and accuracy of LR in PVP (0.740, 0.780, 0.766), DP (0.893, 0.700, 0.798), HBP (0.800, 0.720, 0.756) and MLP in PVP (0.880, 0.720, 0.798) were better performance. The 1-year DFS and OS of the patients in the observation group were 69% and 78%, respectively. The 1-year DFS and OS of the patients in the control group were 83% and 85%, respectively. Kaplan-Meier survival analysis showed no statistical difference in DFS and OS between groups (P = 0.231 and 0.326), but DFS and OS were numerically lower in patients with DPHCC.

CONCLUSION

The radiomics features extracted from Gd-EOB-DTPA-enhanced MR images can be used to diagnose preoperative DPHCC. DPHCC is more likely to recur and cause death than HCC, suggesting that active postoperative management of patients with DPHCC is required.

摘要

目的

描述双表型肝细胞癌(DPHCC)患者的临床特征和结局,并探讨利用放射组学建立基于图像的术前鉴别诊断特征。

方法

本研究纳入了 2015 年 1 月至 2018 年 12 月在我院接受手术治疗且术后病理诊断为 DPHCC 的 50 例患者(观察组)和 CK7 和 CK19 均阴性的 HCC 患者 50 例(对照组)。所有患者均在术前 1 个月内行钆塞酸二钠增强 MRI 检查。将动脉期(AP)、门静脉期(PVP)、延迟期(DP)和肝胆期(HBP)图像传入放射组学平台。在整个肿瘤范围内勾画感兴趣区。利用 LASSO 对放射组学特征的维度进行降维。采用多层感知机(MLP)、支持向量机(SVM)、逻辑回归(LR)和 K 最近邻(KNN)4 种分类器对 DPHCC 与 CK7 和 CK19 阴性 HCC 进行鉴别。采用 Kaplan-Meier 生存分析法评估观察组和对照组患者的 1 年无病生存(DFS)和总生存(OS)。

结果

不同的影像学分期和分类器联合应用可能为 DPHCC 提供最佳的术前诊断效能。LR 在 PVP(0.740、0.780、0.766)、DP(0.893、0.700、0.798)、HBP(0.800、0.720、0.756)和 MLP 在 PVP(0.880、0.720、0.798)中的诊断效能较高,其敏感度、特异度和准确率分别为 0.740、0.780、0.766、0.893、0.700、0.798、0.800、0.720、0.756 和 0.880、0.720、0.798。观察组患者的 1 年 DFS 和 OS 分别为 69%和 78%,对照组患者的 1 年 DFS 和 OS 分别为 83%和 85%。Kaplan-Meier 生存分析显示,两组患者的 DFS 和 OS 差异无统计学意义(P=0.231 和 0.326),但 DPHCC 患者的 DFS 和 OS 均略低。

结论

基于 Gd-EOB-DTPA 增强 MRI 图像提取的放射组学特征可用于术前诊断 DPHCC。与 HCC 相比,DPHCC 更易复发和导致死亡,这提示需要对 DPHCC 患者进行积极的术后管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f09/11810393/558a8d0f3608/432_2019_3062_Fig1_HTML.jpg

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