Prediction of Early Recurrence After R0 Resection for Gallbladder Carcinoma of Stage T1b-T3

Unraveling early recurrence of risk factors in Gallbladder cancer: A systematic review and meta-analysis

BACKGROUND

Gallbladder cancer (GBC) is the most prevalent biliary tract tumor characterized by a high incidence of recurrence, even after curative-intent surgery. The object of this systematic review and meta-analysis was to investigate the risk factors related to early recurrence (ER).

METHODS

A systematic literature review was conducted in PubMed, Embase, Cochrane Library, and Web of Science to identify published articles up to February 2024. Data on risk factors associated with ER reported by two or more studies were collected. Selection of different effect models based on data heterogeneity.

RESULTS

Out of 6497 initially identified articles based on our search strategies, only 5 were eligible and included in this meta-analysis and 12 ER-related factors were collected. The overall recurrence rate was reported between 32.3% and 61.0 %, and the ER rate ranged from 19.6% to 26.5 %. Concentrations of CA19-9 (OR 3.03 95 % CI 2.20-4.17) and CEA (OR 1.85 95 % CI 1.24-2.77), tumor differentiation (OR 2.79, 95 % CI 1.86-4.20), AJCC T stage (OR 7.64, 95%CI 3.40-17.18), lymphovascular invasion (OR 2.71, 95 % CI 1.83-4.03), perineural invasion (OR 2.71, 95 % CI 1.79-4.12), liver involvement (OR 5.69, 95%CI 3.78-8.56) and adjuvant therapy (OR 2.19, 95 % CI 1.06-4.55) were identified as the risk factors of ER.

CONCLUSION

This study may provide valuable insights for early identification of increased ER risk and making informed decisions regarding the comprehensive diagnosis and treatment of patients with GBC. To draw more definitive conclusions, there is a need for high-quality prospective studies involving multiple centers and diverse racial populations.

Multi-clinical index classifier combined with AI algorithm model to predict the prognosis of gallbladder cancer

Objectives

It is significant to develop effective prognostic strategies and techniques for improving the survival rate of gallbladder carcinoma (GBC). We aim to develop the prediction model from multi-clinical indicators combined artificial intelligence (AI) algorithm for the prognosis of GBC.

Methods

A total of 122 patients with GBC from January 2015 to December 2019 were collected in this study. Based on the analysis of correlation, relative risk, receiver operator characteristic curve, and importance by AI algorithm analysis between clinical factors and recurrence and survival, the two multi-index classifiers (MIC1 and MIC2) were obtained. The two classifiers combined eight AI algorithms to model the recurrence and survival. The two models with the highest area under the curve (AUC) were selected to test the performance of prognosis prediction in the testing dataset.

Results

The MIC1 has ten indicators, and the MIC2 has nine indicators. The combination of the MIC1 classifier and the "avNNet" model can predict recurrence with an AUC of 0.944. The MIC2 classifier and "glmet" model combination can predict survival with an AUC of 0.882. The Kaplan-Meier analysis shows that MIC1 and MIC2 indicators can effectively predict the median survival of DFS and OS, and there is no statistically significant difference in the prediction results of the indicators (MIC1: χ² = 6.849, P = 0.653; MIC2: χ² = 9.14, P = 0.519).

Conclusions

The MIC1 and MIC2 combined with avNNet and mda models have high sensitivity and specificity in predicting the prognosis of GBC.

Laparoscopic segment 4b+5 liver resection for stage T3 gallbladder cancer

BACKGROUND

There is still controversy over whether to perform laparoscopic surgery for T3 stage gallbladder cancer. In addition, the necessity of segment 4b+5 liver resection for stage T3 gallbladder has not been reported. This article aims to explore the safety, effectiveness, and short-term prognosis of laparoscopic segment 4b+5 liver resection for T3 stage gallbladder cancer.

METHODS

This is a retrospective multicenter propensity score-matched study. Disease-free survival, perioperative complications, and intraoperative safety were analyzed to evaluate safety and effectiveness.

RESULTS

There was no significant difference in the incidence of intraoperative bleeding, number of lymph nodes obtained, postoperative complications, or disease-free survival (DFS) between the open group (OG) and laparoscopic group (LG) (P > 0.05). The DFS time of the S4b+5 resection group (S4b5) was longer than that of the wedge group (P = 0.016). Cox regression showed that positive margins (HR, 5.32; 95% CI 1.03-27.63; P = 0.047), lymph node metastasis (HR, 2.70; 95% CI 1.31-5.53; P = 0.007), and liver S4b+5 resection (HR, 0.30; 95% CI 0.14-0.66; P = 0.003) were independent risk factors for DFS. The operative time of indocyanine green (ICG) fluorescence-guided liver S4b5 segment resection was shorter than that of traditional laparoscopic S4b+5 resection guided by hepatic veins (P ≤ 0.001).

CONCLUSION

Laparoscopic liver S4b+5 resection for T3 stage gallbladder cancer is safe and feasible and can prolong DFS. ICG fluorescence-guided negative staining may reduce the difficulty of the operation.