Prediction of Posthepatectomy Liver Failure in Narrow Resection Margins HCC: A Model Based on Iodine Map Histogram Analysis of Nontumorous Liver Parenchyma.
IF 3.8 2区 医学Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Yuan Xu, Bo Liu, Fukai Li, Jiachen Sun, Yufeng Li, Hong Liu, Tiezhu Ren, Jianli Liu, Junlin Zhou
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引用次数: 0
Abstract
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.
期刊介绍:
Academic Radiology publishes original reports of clinical and laboratory investigations in diagnostic imaging, the diagnostic use of radioactive isotopes, computed tomography, positron emission tomography, magnetic resonance imaging, ultrasound, digital subtraction angiography, image-guided interventions and related techniques. It also includes brief technical reports describing original observations, techniques, and instrumental developments; state-of-the-art reports on clinical issues, new technology and other topics of current medical importance; meta-analyses; scientific studies and opinions on radiologic education; and letters to the Editor.