RESUMO
The management of giant inguinoscrotal hernias remains a challenge as a result of the loss of the intra-abdominal domain from long-standing hernia contents within the scrotum. Multiple techniques have been described for abdominal wall relaxation and augmentation to allow the safe return of viscera from the scrotum to the intraperitoneal cavity without adversely affecting cardiorespiratory physiology. Preoperative progressive pneumoperitoneum, phrenectomy, and component separation are but a few common techniques previously described as adjuncts to the management of these massively large hernias. However, these strategies require an additional invasive stage, and reproducibility remains challenging. Botulinum toxin A (BTA) has been successfully used for the management of complex ventral hernias. Its use for these hernias has shown reproducibility and a low side effect profile. In the present report, we describe our institutional experience with BTA for giant inguinal hernias in two patients and present a review of the literature. In one case, a 77-year-old man with a substantial cardiac history presented with a giant left inguinal hernia that was interfering with his activities of daily living. He had BTA six weeks prior to inguinal hernia repair. Repair was performed via an inguinal incision with a favorable return of the viscera into the peritoneum. He was discharged on the same day of the operation. A second patient, 78 years of age, had a giant right inguinoscrotal hernia. He had a significant cardiac history and was treated with BTA six weeks prior to inguinal hernia repair via a groin incision. Neither patient had complaints nor recurrence at 7- and 3-month follow-ups. While the literature on this topic is scarce, we found 13 cases of inguinal hernias treated with BTA as an adjunct. BTA might be a promising adjunct for the management of giant inguinoscrotal hernias in addition to or in place of current strategies.
RESUMO
Hepatocellular carcinoma (HCC) is among the most common cancers worldwide, and tumor recurrence following liver resection or transplantation is one of the highest contributors to mortality in HCC patients after surgery. Using artificial intelligence (AI), we developed an interdisciplinary model to predict HCC recurrence and patient survival following surgery. We collected whole-slide H&E images, clinical variables, and follow-up data from 300 patients with HCC who underwent transplant and 169 patients who underwent resection at the Cleveland Clinic. A deep learning model was trained to predict recurrence-free survival (RFS) and disease-specific survival (DSS) from the H&E-stained slides. Repeated cross-validation splits were used to compute robust C-index estimates, and the results were compared to those obtained by fitting a Cox proportional hazard model using only clinical variables. While the deep learning model alone was predictive of recurrence and survival among patients in both cohorts, integrating the clinical and histologic models significantly increased the C-index in each cohort. In every subgroup analyzed, we found that a combined clinical and deep learning model better predicted post-surgical outcome in HCC patients compared to either approach independently.
RESUMO
BACKGROUND: Liver transplantation (LT) is a well-established treatment for hepatocellular carcinoma (HCC), but there are ongoing debates regarding outcomes and selection. This study examines the experience of LT for HCC at a high-volume centre. METHODS: A prospectively maintained database was used to identify HCC patients undergoing LT from 2000 to 2020 with more than or equal to 3-years follow-up. Data were obtained from the centre database and electronic medical records. The Metroticket 2.0 HCC-specific 5-year survival scale was calculated for each patient. Kaplan-Meier and Cox-regression analyses were employed assessing survival between groups based on Metroticket score and individual donor and recipient risk factors. RESULTS: Five hundred sixty-nine patients met criteria. Median follow-up was 96.2 months (8.12 years; interquartile range 59.9-147.8). Three-year recurrence-free (RFS) and overall survival (OS) were 88.6% ( n =504) and 86.6% ( n =493). Five-year RFS and OS were 78.9% ( n =449) and 79.1% ( n =450). Median Metroticket 2.0 score was 0.9 (interquartile range 0.9-0.95). Tumour size greater than 3 cm ( P =0.012), increasing tumour number on imaging ( P =0.001) and explant pathology ( P <0.001) was associated with recurrence. Transplant within Milan ( P <0.001) or UCSF criteria ( P <0.001) had lower recurrence rates. Increasing alpha-fetoprotein (AFP)-values were associated with more HCC recurrence ( P <0.001) and reduced OS ( P =0.008). Chemoembolization was predictive of recurrence in the overall population ( P =0.043) and in those outside-Milan criteria ( P =0.038). A receiver-operator curve using Metroticket 2.0 identified an optimal cut-off of projected survival greater than or equal to 87.5% for predicting recurrence. This cut-off was able to predict RFS ( P <0.001) in the total cohort and predict both, RFS ( P =0.007) and OS ( P =0.016) outside Milan. Receipt of donation after brain death (DBD) grafts (55/478, 13%) or living-donor grafts (3/22, 13.6%) experienced better survival rates compared to donation after cardiac death (DCD) grafts ( n =15/58, 25.6%, P =0.009). Donor age was associated with a higher HCC recurrence ( P =0.006). Both total ischaemia time (TIT) greater than 6hours ( P =0.016) and increasing TIT correlated with higher HCC recurrence ( P =0.027). The use of DCD grafts for outside-Milan candidates was associated with increased recurrence ( P =0.039) and reduced survival ( P =0.033). CONCLUSION: This large two-centre analysis confirms favourable outcomes after LT for HCC. Tumour size and number, pre-transplant AFP, and Milan criteria remain important recipient HCC-risk factors. A higher donor risk (i.e. donor age, DCD grafts, ischaemia time) was associated with poorer outcomes.