Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Peritoneal Carcinomatosis from Urothelial Origin: a Case Report and Literature Review.

Introduction: Urothelial carcinomas (UC) are the fourth most common tumours. Approximately, 50% of patients with invasive bladder cancer relapse after radical cistectomy (RC). In this report, we present the case of peritoneal carcinomatosis from bladder UC treated with cytoreductive surgery plus the administration of hyperthermic intraperitoneal chemotherapy (CRS + HIPEC). Case Presentation: A 34-year-old woman diagnosed with high-grade bladder cancer with peritoneal recurrence in 2017. She underwent cytoreductive surgery followed by HIPEC with mitomycin C. Histopathological results showed metastases from UC in the left ovary and right diaphragmatic peritoneum. In 2021, the patient underwent surgery after treatment with atezolizumab for abdominal wall recurrence. Today, the patient is alive and free of tumor recurrence 12 months after the last surgery. Discussion: Despite advances in surgical technique and patient selection, the risk of relapse remains high among patients with muscle-invasive bladder cancer. We face the case of a young female patient with local, peritoneal, and lymphatic recurrence of bladder cancer after RC who had a partial response to chemotherapy. The possibility of CRS + HIPEC is offered by the surgical oncology unit, referent in the management of peritoneal carcinomatosis. Surgery is capable of resecting residual tumor in patients with a partial response or who have been erroneously underdiagnosed. Conclusion: CRS + HIPEC might be a valid option to be considered in well-selected patients and to be performed in reference units. There is a need for more collaborative clinical trials and prospective studies addressing the role of surgery in patients with metastatic bladder cancer.

Liver resection versus radiofrequency ablation in octogenarian patients for hepatocellular carcinoma: a propensity score multicenter analysis.

BACKGROUND: Liver resection (LR) and radiofrequency ablation (RFA) are considered curative options for hepatocellular carcinoma (HCC). The aim of this study was to compare outcomes after LR and RFA in octogenarian patients with HCC. MATERIALS AND METHODS: This multicenter retrospective study included 102 elderly patients (> 80 years old) treated between January 2009 and January 2019, who underwent LR or RFA for HCC (65 and 37 with, respectively). RESULTS: After Propensity Score Matching, the postoperative course of LR was burdened by a higher rate of complications than RFA group (64% vs 14%, respectively, p: 0.001). The LR group had also significantly longer operative time (207 ± 85 min vs 33 ± 49 min, p < 0.001) and postoperative hospital stays than the RFA group (7 d vs 2 d, p = 0.019). Overall survival at 1-, 2-, and 3-year were 86%, 86%, and 70% for the LR group and 82%, 64%, and 52% for the RFA group (p = 0.380). Disease-free survival at 1-, 2-, and 3-year were 89%, 74%, and 56% for the LR group, and 51%, 40%, and 40% for the RFA group (p = 0.037). CONCLUSION: Despite a higher rate of Dindo-Clavien I-II post-operative complications, a longer operative time and length of hospital stay, LR in octogenarian patients can provide comparable 90d mortality than RFA and better long-term outcomes.

Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor-Recipient Matching?

Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor-recipient matching have become necessary. Most of the currently proposed scores based on conventional biostatistics are not good classifiers of a problem that is considered "unbalanced." In recent years, the implementation of artificial intelligence in medicine has experienced exponential growth. Deep learning, a branch of artificial intelligence, may be the answer to this classification problem. The ability to handle a large number of variables with speed, objectivity, and multi-objective analysis is one of its advantages. Artificial neural networks and random forests have been the most widely used deep classifiers in this field. This review aims to give a brief overview of D-R matching and its evolution in recent years and how artificial intelligence may be able to provide a solution.

Influence of Donor and Recipient Sex Matching in Simultaneous Pancreas-Kidney Transplantation Outcomes.

BACKGROUND: Several studies in solid organ transplantation have shown a correlation between donor and recipient sex mismatch and risk of graft loss; however, it is possible influence is not well established. The aim of our study was to review the outcomes of pancreatic and kidney grafts in our series depending on sex matching. METHODS: We retrospectively analyzed a cohort of 199 patients who underwent simultaneous pancreas-kidney transplantation from February 1989 to June 2019 at the Reina Sofia University Hospital. RESULTS: Survival of patients in the series was 93.5% at 5 years, 84.3% at 10 years, and 71.5% at 15 years. In the sex-discordant group, survival of patients in the series at 5, 10, and 15 years was 94%, 82.3%, and 71.7% compared with 92.3%, 85.1%, and 72.2% in the concordant group, with no statistically significant differences (P = .86). Pancreatic graft survival censored for death at 5, 10, and 15 years was 79.5%, 60.8%, and 57.5% in the group with discordant sex vs 77.5%, 67.8%, and 65.5% in the concordant group, finding no statistically significant differences (P = .54). Kidney graft survival censored for death at 5, 10, and 15 years was 89.3%, 85%, and 78.1% in the sex-discordant group vs 87.3%, 83.5%. and 78.8% in the concordant group, with no differences (P = .69). No differences were observed between the 2 groups in the rate of serious postoperative complications or acute rejection. CONCLUSION: Our study shows that donor-recipient sex mismatch in simultaneous pancreas-kidney transplantation does not negatively influence perioperative outcomes and survival of the patient and both grafts.