Minimally invasive ver-sus open liver resection for hepatocellular carcinoma in the elderly: international multicentre propensity score-matched study

Laparoscopic versus open hepatic resection in patients ≥75 years old: A NSQIP analysis evaluating 2674 patients

BACKGROUND

Previous studies report promising outcomes with minimally invasive (MIS) hepatectomy in elderly patients but remain limited by small size. This study aims to comparatively evaluate the demographics and outcomes of geriatric patients undergoing MIS and open hepatectomy.

METHOD

The 2016-2021 NSQIP database was evaluated comparing patients ≥75 undergoing MIS versus open hepatectomy. Patient selection and outcomes were compared using bivariate analysis with multivariable modeling (MVR) evaluating factors associated with serious complications and mortality. Propensity score matched (PSM) analysis further evaluated serious complications, mortality, length of stay (LOS), Clavien Dindo Classification (CDC), and Comprehensive Complication Index (CCI) for cohorts.

RESULTS

We evaluated 2674 patients with 681 (25.5%) receiving MIS hepatectomy. MIS approaches were used more for partial lobectomy (85.9% vs. 61.7%; p < 0.001), and required fewer biliary reconstructions (1.6% vs. 10.6%; p < 0.001). Patients were similar with regards to sex, body mass index, and other comorbidities. Unadjusted analysis demonstrated that MIS approaches had fewer serious complications (8.8% vs. 18.7%; p < 0.001). However, after controlling for cohort differences the MIS approach was not associated with reduced likelihood of serious complications (odds ratio [OR]: 0.77; p = 0.219) or mortality (OR: 1.19; p = 0.623). PSM analysis further supported no difference in serious complications (p = 0.403) or mortality (p = 0.446). However, following PSM a significant reduction in LOS (-1.99 days; p < 0.001), CDC (-0.26 points; p = 0.016) and CCI (-2.79 points; p = 0.022) was demonstrated with MIS approaches.

CONCLUSIONS

This is the largest study comparing MIS and open hepatectomy in elderly patients. Results temper previously reported outcomes but support reduced LOS and complications with MIS approaches.

Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma

BACKGROUND

This paper offers an assessment of radiomics tools in the evaluation of intrahepatic cholangiocarcinoma.

METHODS

The PubMed database was searched for papers published in the English language no earlier than October 2022.

RESULTS

We found 236 studies, and 37 satisfied our research criteria. Several studies addressed multidisciplinary topics, especially diagnosis, prognosis, response to therapy, and prediction of staging (TNM) or pathomorphological patterns. In this review, we have covered diagnostic tools developed through machine learning, deep learning, and neural network for the recurrence and prediction of biological characteristics. The majority of the studies were retrospective.

CONCLUSIONS

It is possible to conclude that many performing models have been developed to make differential diagnosis easier for radiologists to predict recurrence and genomic patterns. However, all the studies were retrospective, lacking further external validation in prospective and multicentric cohorts. Furthermore, the radiomics models and the expression of results should be standardized and automatized to be applicable in clinical practice.