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功能肝脏成像评分(FLIS)可预测 HCC 患者的不良事件。

Functional liver imaging score (FLIS) can predict adverse events in HCC patients.

机构信息

Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, MB, Italy.

Department of Hepatobiliary Surgery, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, MB, Italy; Department of Medicine and Surgery, University of Milano Bicocca, Via Cadore 33, 20090 Monza, MB, Italy.

出版信息

Eur J Radiol. 2024 Nov;180:111695. doi: 10.1016/j.ejrad.2024.111695. Epub 2024 Aug 23.

Abstract

PURPOSE

To assess the performance of FLIS in predicting adverse outcomes, namely post-hepatectomy liver failure (PHLF) and death, in patients who underwent liver surgery for malignancies.

METHODS

All consecutive patients who underwent liver resection and 1.5 T gadoxetic acid MR were enrolled. PHLF and overall survival (OS) were collected. Two radiologists with 18 and 8 years of experience in abdominal imaging, blinded to clinical data, evaluated all images. Radiologists evaluated liver parenchymal enhancement (EnQS), biliary contrast excretion (ExQS), and signal intensity of the portal vein relative to the liver parenchyma (PVsQs). Reliability analysis was computed with Cohen's Kappa. Cox regression analysis was calculated to determine which factors are associated with PHLF and OS. Area Under the Receiver Operating Characteristic curve (AUROC) was computed.

RESULTS

150 patients were enrolled, 58 (38.7 %) in the HCC group and 92 (61.3 %) in the non-HCC group. The reliability analysis between the two readers was almost perfect (κ = 0.998). The multivariate Cox analysis showed that only post-surgical blood transfusions and major resection were associated with adverse events [HR=8.96 (7.98-9.88), p = 0.034, and HR=0.99 (0.781-1.121), p = 0.032, respectively] in the whole population. In the HCC group, the multivariable Cox analysis showed that blood transfusions, major resection and FLIS were associated with adverse outcomes [HR=13.133 (2.988-55.142), p = 0.009, HR=0.987 (0.244-1.987), p = 0.021, and HR=1.891 (1.772-3.471), p = 0.039]. The FLIS AUROC to predict adverse outcomes was 0.660 (95 %CIs = 0.484-0.836), with 87 % sensitivity and 33.3 % specificity (81.1-94.4 and 22.1-42.1).

CONCLUSIONS

FLIS can be considered a promising tool to preoperative depict patients at risk of PHLF and death.

摘要

目的

评估 FLIS 在预测行肝切除术恶性肿瘤患者不良结局(即肝切除术后肝功能衰竭[PHLF]和死亡)方面的性能。

方法

本研究纳入了所有接受肝脏切除术和 1.5T 钆塞酸磁共振成像(MR)的连续患者。收集了 PHLF 和总生存期(OS)数据。两名具有 18 年和 8 年腹部影像学经验的放射科医生,对所有图像进行了盲法评估。放射科医生评估了肝实质增强(EnQS)、胆汁排泄(ExQS)和门静脉相对于肝实质的信号强度(PVsQs)。采用 Cohen's Kappa 计算可靠性分析。计算 Cox 回归分析以确定与 PHLF 和 OS 相关的因素。计算受试者工作特征曲线下的面积(AUROC)。

结果

共纳入 150 例患者,其中 58 例(38.7%)为 HCC 组,92 例(61.3%)为非 HCC 组。两名读者之间的可靠性分析为近乎完美(κ=0.998)。多变量 Cox 分析表明,仅术后输血和大切除术与全人群的不良事件相关[风险比(HR)=8.96(7.98-9.88),p=0.034,和 HR=0.99(0.781-1.121),p=0.032]。在 HCC 组中,多变量 Cox 分析表明,输血、大切除术和 FLIS 与不良结局相关[HR=13.133(2.988-55.142),p=0.009,HR=0.987(0.244-1.987),p=0.021,和 HR=1.891(1.772-3.471),p=0.039]。FLIS 预测不良结局的 AUROC 为 0.660(95%CI=0.484-0.836),具有 87%的敏感性和 33.3%的特异性(81.1-94.4 和 22.1-42.1)。

结论

FLIS 可被视为一种有前途的工具,可用于术前预测 PHLF 和死亡风险的患者。

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