Prognostic Analysis of Single Large Hepatocellular Carcinoma Following Radical Resection: A Single-Center Study

Huang, Jian; Li, Li; Liu, Fuchen; Tan, Bi-Bo; Yang, Yun; Jiang, Bei‐Ge; Pan, Ze‐Ya

doi:10.2147/jhc.s404895

Cited by 3 publications

(1 citation statement)

References 45 publications

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“… 22 Additionally, cirrhosis is an independent prognostic factor in patients with solitary HCC. 28 Our study found that none of the patients with solitary HCC who underwent AR developed postoperative liver failure. Based on the results of subgroup analysis, we observed that wide RM improved the prognosis of patients with ALBI grade I, the absence of cirrhosis, or hepatitis B infection.…”

Section: Discussionmentioning

confidence: 51%

Resection Margin Width Does Not Influence the Prognosis of Solitary Hepatocellular Carcinoma After Anatomic Resection: A Real-World Study from China

Ke¹,

Guo²,

He³

et al. 2023

JHC

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Purpose The influence of resection margin (RM) width on the prognosis of solitary hepatocellular carcinoma (HCC) following anatomical resection (AR) has yet to be determined. Therefore, we conducted a real-world study to identify the optimal RM width and assess its impact on the outcomes of solitary HCC patients undergoing AR. Methods The data pertaining to patients diagnosed with solitary HCC who underwent AR between December 2012 and December 2015 were retrospectively collected. The optimal cutoff value for the width of the RM was determined using X-tile software. The Kaplan-Meier method was utilized to compare the overall survival (OS) and disease-free survival (DFS) between the narrow and wide RM groups. Additionally, propensity score matching (PSM) was performed to minimize potential bias in the data. Results Of the 1033 patients who met the inclusion criteria, 293 (28.4%) were categorized into the narrow RM group (≤4 mm) and 740 (71.6%) into the wide RM group (> 4mm). Before and after PSM, there were no significant differences in OS and DFS between the two groups (before PSM: OS, HR=0.78, P =0.071; DFS, HR=0.95, P =0.620; after PSM: OS, HR=0.77, P =0.150; DFS, HR=0.90, P =0.470). Multivariate analysis demonstrated that RM width was not an independent risk factor for DFS and OS both before and after PSM (all P >0.05). However, subgroup analyses revealed that patients with ALBI grade 1, absence of cirrhosis, and AJCC stage II significantly benefited from wide RM in OS (all P < 0.05). Similarly, patients without HBV infection and absence of cirrhosis also exhibited significant benefits from wide RM in DFS (both P < 0.05). Conclusion In patients with solitary HCC undergoing AR, the width of the RM does not appear to have a significant impact on their prognosis. However, in certain selected patients, a wider RM may confer benefits.

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Section: Discussionmentioning

confidence: 51%

Resection Margin Width Does Not Influence the Prognosis of Solitary Hepatocellular Carcinoma After Anatomic Resection: A Real-World Study from China

Ke¹,

Guo²,

He³

et al. 2023

JHC

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Prediction model of M2 with early-stage hepatocellular carcinoma based on multiple machine learning

Xia,

Yu,

et al. 2024

Preprint

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Background: Microvascular invasion (MVI) is a crucial factor for early recurrence and poor outcomes in hepatocellular carcinoma (HCC). However, there are few studies on M2 classification. We aimed to build a predictive model for M2 in early-stage HCC, assisting clinical decision-making. Methods: We retrospectively enrolled 451 patients with early-stage HCC and employed multiple machine learning algorithms to identify the risk factors influencing the robustness of M2. Model performance was evaluated using receiver operating characteristic (ROC) curve, calibration curve, decision curve analysis (DCA)，and clinical impact curve (CIC). Results: There were 363 M0 and 88 M2 cases. Differences in recurrence-free survival (RFS) and overall survival(OS) between the M0 and M2 groups were statistically significant (P <0.0001). Complement C3, tumor size> 5cm, incomplete tumor capsule, and Edmondson-Steiner stage III-IV were independent risk factors for M2.The prediction model showed an area under the receiver operating characteristic curve(AUROC) of 0.765 and 0.807 in the training and validation groups, respectively. Calibration curves showed good agreement between actual and predicted M2 risks, and the DCA and CIC showed a significant clinical efficacy. Conclusion: The nomogram-based model had a good predictive effect for M2 in patients with early-stage HCC ,providing guidance for treatment decisions.

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Prediction of M2 with early-stage hepatocellular carcinoma based on Nomogram

Xia,

Yu,

et al. 2024

Preprint

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Background Microvascular invasion (MVI) is a crucial factor for early recurrence and poor outcomes in hepatocellular carcinoma (HCC). However, there are few studies on M2 classification. We aimed to build a predictive model for M2 in early-stage HCC, assisting clinical decision-making. Methods We retrospectively enrolled 451 patients with early-stage HCC and employed multiple machine learning algorithms to identify the risk factors influencing the robustness of M2. Model performance was evaluated using receiver operating characteristic (ROC) curve, calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC). Results There were 363 M0-1 and 88 M2 cases. Differences in recurrence-free survival(RFS) and overall survival(OS) between the M0-1 and M2 groups were statistically significant (P < 0.0001). Complement C3, tumor size > 5cm, incomplete tumor capsule, and Edmondson-Steiner stage III-IV were independent risk factors for M2.The prediction model showed an area under the receiver operating characteristic curve(AUROC) of 0.765 and 0.807 in the training and validation groups, respectively. Calibration curves showed good agreement between actual and predicted M2 risks, and the DCA and CIC showed a significant clinical efficacy. Conclusion The nomogram-based model had a good predictive effect for M2 in patients with early-stage HCC ,providing guidance for treatment decisions.

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Prognostic Analysis of Single Large Hepatocellular Carcinoma Following Radical Resection: A Single-Center Study

Cited by 3 publications

References 45 publications

Resection Margin Width Does Not Influence the Prognosis of Solitary Hepatocellular Carcinoma After Anatomic Resection: A Real-World Study from China

Resection Margin Width Does Not Influence the Prognosis of Solitary Hepatocellular Carcinoma After Anatomic Resection: A Real-World Study from China

Prediction model of M2 with early-stage hepatocellular carcinoma based on multiple machine learning

Prediction of M2 with early-stage hepatocellular carcinoma based on Nomogram

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