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磁共振衍生的肝脏摄取指数可改善对肝切除术后发生严重肝衰竭风险患者的识别。

Magnetic resonance-derived hepatic uptake index improves the identification of patients at risk of severe post-hepatectomy liver failure.

作者信息

Bartholomä Wolf C, Gilg Stefan, Lundberg Peter, Larsen Peter N, Sallinen Ville, Sternby Eilard Malin, Urdzik Jozef, Lindell Gert, Brismar Torkel B, Fallentin Eva, Ovissi Ali, Socratous Andreas, Bjerner Tomas, Kollbeck Sophie, Tellman Jens, Holmquist Fredrik, Dahlström Nils, Woisetschläger Mischa, Björnsson Bergthor, Sparrelid Ernesto, Sandström Per

机构信息

Department of Radiology and Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden.

Centre for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.

出版信息

Br J Surg. 2025 Apr 30;112(5). doi: 10.1093/bjs/znaf103.

Abstract

BACKGROUND

Post-hepatectomy liver failure (PHLF) is a leading cause of mortality after major liver resection. Accurate preoperative risk assessment is essential, yet current methods have limitations. Gadoxetic acid-enhanced MRI (Gd-EOB MRI) enables both morphological and functional evaluation of the liver. The aim of this study was to evaluate the efficacy of the hepatic uptake index (HUI) obtained from routine preoperative Gd-EOB MRI for identifying patients at risk of severe PHLF.

METHODS

This observational retrospective multicentre study included 292 patients who underwent major hepatectomy between 2010 and 2020 in Sweden, Denmark, and Finland. Preoperative Gd-EOB MRI was performed for each patient and the HUI, hepatic uptake index of the standardized future liver remnant (sFLR-HUI), and Model for End-Stage Liver Disease Version 3 (MELD 3) score were evaluated. Statistical analyses included logistic regression and receiver operating characteristic (ROC) curve assessment to determine cut-off values and discriminative accuracies for severe PHLF (International Study Group of Liver Surgery grades B and C).

RESULTS

Among the 292 patients, 25 (8.6%) developed severe PHLF. Patients with severe PHLF had significantly lower HUI and sFLR-HUI values (P < 0.001). The HUI demonstrated superior discriminative performance for severe PHLF (area under the curve (AUC) 0.758) compared with volume-only assessments, such as the standardized future liver remnant (sFLR) (AUC 0.628). Combining the HUI with the MELD 3 score improved performance further (AUC 0.803).

CONCLUSION

The HUI obtained from routine Gd-EOB MRI outperforms volume-based biomarkers (sFLR) for identification of patients at risk of severe PHLF. Incorporating image-derived functional assessments, such as the HUI, with independent biomarkers, such as the MELD 3 score, may optimize preoperative risk stratification for severe PHLF and improve outcomes after major hepatectomy.

摘要

背景

肝切除术后肝衰竭(PHLF)是主要肝切除术后死亡的主要原因。准确的术前风险评估至关重要,但目前的方法存在局限性。钆塞酸二钠增强磁共振成像(Gd-EOB MRI)能够对肝脏进行形态学和功能评估。本研究的目的是评估从常规术前Gd-EOB MRI获得的肝脏摄取指数(HUI)对识别严重PHLF风险患者的有效性。

方法

这项观察性回顾性多中心研究纳入了2010年至2020年在瑞典、丹麦和芬兰接受主要肝切除术的292例患者。对每位患者进行术前Gd-EOB MRI检查,并评估HUI、标准化未来肝残余体积的肝脏摄取指数(sFLR-HUI)和终末期肝病模型第3版(MELD 3)评分。统计分析包括逻辑回归和受试者工作特征(ROC)曲线评估,以确定严重PHLF(国际肝脏手术研究组B级和C级)的临界值和判别准确性。

结果

在292例患者中,25例(8.6%)发生了严重PHLF。严重PHLF患者的HUI和sFLR-HUI值显著较低(P < .001)。与仅基于体积的评估(如标准化未来肝残余体积(sFLR))相比,HUI对严重PHLF的判别性能更佳(曲线下面积(AUC)为0.758)(AUC为0.628)。将HUI与MELD 3评分相结合可进一步提高性能(AUC为0.803)。

结论

从常规Gd-EOB MRI获得的HUI在识别严重PHLF风险患者方面优于基于体积的生物标志物(sFLR)。将图像衍生的功能评估(如HUI)与独立的生物标志物(如MELD 分数)相结合,可能会优化严重PHLF的术前风险分层,并改善主要肝切除术后的结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a12/12120443/ed9b4b389f74/znaf103f1.jpg

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