The role of systemic immuno-inflammatory factors in resectable pancreatic adenocarcinoma: a cohort retrospective study

BACKGROUND

Pancreatic cancer is an aggressive malignancy, surgery being the only potentially curative treatment. The systemic inflammatory response is an important factor in the development of cancer. There is still controversy regarding its role in pancreatic cancer.

METHODS

Our study is a retrospective observational cohort study. We included patients diagnosed with pancreatic ductal adenocarcinoma (PDAC), who underwent surgical resection in our hospital, between January 2012 and December 2019. We gathered information from preoperative and postoperative blood tests. Neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) were determined.

RESULTS

We included 312 patients. All the immune-inflammatory scores assessed significantly changed after the surgery. The impact on overall survival of these markers showed that only some of the postoperative scores predicted survival: high PLR had a negative prognostic impact, while high lymphocyte and PNI values had a positive effect on overall survival.

DISCUSSION

The circulating immune cells and their values integrated in the assessed prognostic scores suffer statistically significant changes after curative pancreatic surgery. Only the postoperative values of lymphocyte count, PLR, and PNI seem to influence the overall survival in PDAC.

TRIAL REGISTRATION

ClinicalTrials.gov-identifier NCT05025371 .

The role of artificial intelligence in pancreatic surgery: a systematic review

Artificial intelligence (AI), including machine learning (ML), is being slowly incorporated in medical practice, to provide a more precise and personalized approach. Pancreatic surgery is an evolving field, which offers the only curative option for patients with pancreatic cancer. Increasing amounts of data are available in medicine: AI and ML can help incorporate large amounts of information in clinical practice. We conducted a systematic review, based on PRISMA criteria, of studies that explored the use of AI or ML algorithms in pancreatic surgery. To our knowledge, this is the first systematic review on this topic. Twenty-five eligible studies were included in this review; 12 studies with implications in the preoperative diagnosis, while 13 studies had implications in patient evolution. Preoperative diagnosis, such as predicting the malignancy of IPMNs, differential diagnosis between pancreatic cystic lesions, classification of different pancreatic tumours, and establishment of the correct management for each of these lesions, can be facilitated through different AI or ML algorithms. Postoperative evolution can also be predicted, and some studies reported prediction models for complications, including postoperative pancreatic fistula, while other studies have analysed the implications for prognosis evaluation (from predicting a textbook outcome, the risk of metastasis or relapse, or the mortality rate and survival). One study discussed the possibility of predicting an intraoperative complication-massive intraoperative bleeding. Artificial intelligence and machine learning models have promising applications in pancreatic surgery, in the preoperative period (high-accuracy diagnosis) and postoperative setting (prognosis evaluation and complication prediction), and the intraoperative applications have been less explored.

Surgical technique in the laparoscopic repair of Morgagni hernia in adults. How do we do it?

INTRODUCTION

Adult Morgagni hernias are rare congenital diaphragmatic hernias, which can present with an array of symptoms based on the size and the contents of it. This article focuses primarily on the laparoscopic repair with transfascial suturing.

METHODS

A number of five patients over the course of 10 years were admitted in our clinic, one of them being admitted with emergency symptoms. Four of the patients were treated laparoscopically, one of them requiring conversion to open approach.

RESULTS

The median age was 53 (range 44-71), 80% of the patients being females. Four of the patients received laparoscopic treatment with transfascial suturing, the fifth being converted, but respecting the same technique. The median surgery duration was 110 min, with a median blood loss of 30 ml. Removal of the sac was attempted in two cases. Median hospitalization stay was 3 days, with a median follow-up of 21 months, with no postoperative complications reported.

CONCLUSIONS

Laparoscopic repair with transfascial suturing provides an feasible and efficient repair, compared to the other laparoscopic techniques. Although no postoperative complications were reported, the removal of the sac still remains an controversial issue.