Prediction of Posthepatectomy Liver Failure in Narrow Resection Margins HCC: A Model Based on Iodine Map Histogram Analysis of Nontumorous Liver Parenchyma.

RATIONALE AND OBJECTIVES

Posthepatectomy liver failure (PHLF) is a severe postoperative complication. This study aims to develop and validate a model combining iodine map histogram parameters of nontumorous liver parenchyma and clinical characteristics to predict early PHLF in patients with narrow resection margins-hepatocellular carcinoma (NRM-HCC).

MATERIALS AND METHODS

A retrospective analysis was conducted on 154 patients with NRM-HCC who underwent hepatectomy at our center, with patients randomly divided into a 7:3 ratio into a training cohort (n=107) and an internal validation cohort (n=47). Iodine map histogram parameters of nontumorous liver parenchyma during the portal venous phase of spectral CT were measured. Standardized Future Residual Liver Volume Ratio (SFLVR) was calculated based on Future Liver Remnant Volume. Based on training cohort data, logistic regression analysis was performed to identify predictors and construct a model for predicting PHLF. The model's performance was evaluated by using receiver operating characteristic curve analysis, calibration curves, and decision curve analyses (DCA).

RESULTS

In the training cohort, univariate and multivariate logistic regression analyses identified Albumin-bilirubin score, intraoperative blood loss (L), Kurtosis, and SFLVR as independent risk factors for PHLF. A comprehensive model combining these independent risk factors yielded an area under the curve of 0.87 (95% CI: 0.80-0.94) for predicting PHLF, outperforming each individual risk factor. Calibration curve and DCA demonstrated good consistency and clinical utility of the model in both the training and validation cohorts.

CONCLUSION

A novel comprehensive model combining iodine map histogram parameter Kurtosis of nontumorous liver parenchyma, SFLVR, and clinical features facilitates early prediction of PHLF in NRM-HCC patients.