The predictive value of iodine map histogram analysis of non-tumorous hepatic parenchyma for post-hepatectomy Liver Failure after narrow-margin hepatectomy in hepatocellular carcinoma
Author Block: Y. Xu, J. Liu, J. Zhou; Lanzhou City/CN
Purpose: Post-hepatectomy liver failure (PHLF) is a severe postoperative complication with a high incidence and mortality rate, particularly in patients with narrow-margin (NM). This study aims to predict PHLF in NM-hepatocellular carcinoma (HCC) using iodine map histogram analysis of non-tumorous hepatic parenchyma.
Methods or Background: A retrospective analysis was conducted on the clinical and imaging data of 107 patients with NM-HCC who underwent hepatectomy, divided into those with PHLF (n=45) and without PHLF (n=62). Histogram parameters of non-tumorous hepatic parenchyma were calculated from iodine map derived from the portal venous phase of spectral CT, including Min, Max, Mean, SD, Skewness, Kurtosis, Entropy, and percentiles (V10-V95), along with the future liver remnant volume (FLV) and standardized future residual liver volume ratio (SFLV%). Logistic regression analyse was used to identify independent predictors of PHLF, and a comprehensive model was developed. The performance of the new comprehensive model was assessed using ROC curve analysis and was compared with ALBI and MELD scores.
Results or Findings: Significant intergroup differences were observed in the iodine map histogram analysis of non-tumorous hepatic parenchyma for Skewness, Kurtosis, V50, V75, V90, V95, FLV, and SFLV% (P < 0.01 to P = 0.04). Multivariate logistic regression analysis revealed that V95, Kurtosis, and SFLV% were independent risk factors for predicting PHLF. The comprehensive model (ModelALL), developed by combining these independent risk factors, exhibited the highest predictive efficacy for PHLF, with an AUC of 0.77 (0.67-0.87), outperforming both the ALBI and MELD scores, which had AUCs of 0.70 (0.58-0.81) and 0.62 (0.49-0.74), respectively.
Conclusion: The model which combines the iodine map histogram parameters of non-tumorous hepatic parenchyma (V95 and Kurtosis) with SFLV%, aids in the preoperative prediction of PHLF in NM-HCC patients and outperforms conventional scoring systems.
Limitations: Not applicable
Funding for this study: This study has received funding by grants of Natural Science Foundation of China (82260361, 82371914), Lanzhou University Second Hospital Second Hospital “Cuiying Technology Innovation Plan” (CY2022-QN-A10), Lanzhou University Second Hospital "Cuiying Postgraduate Instructor Cultivation Program Project (CYDSPY202003) and Outstanding Young Talents and Backbone Talents Project of Gansu Provincial Health Industry Research Program (GSWSQN2023-04).
Has your study been approved by an ethics committee? Yes
Ethics committee - additional information: The present study was approved by our hospital ethics committee (No. 2022A-112) and performed according to the ethical guidelines of the 1975 Declaration of Helsinki.