Advances in Hepatobiliary Surgery

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "General Surgery".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 2049

Special Issue Editor


E-Mail Website
Guest Editor
Department of Clinical Medicine and Surgery, Division of HPB, Minimally Invasive, Robotic and Transplant Surgery, Transplantation Service, Federico II University, Naples, Italy
Interests: hepatobiliary surgery; pancreatic surgery; transplant surgery; minimally-invasive surgery; robotic surgery

Special Issue Information

Dear Colleagues,

Hepatobiliary surgery is used to treat a diverse group of diseases, from benign conditions to primary and metastatic tumors, and has seen a constant expansion in recent decades. A pivotal role in this development has been played by the introduction of new techniques and technologies that now allow patients once considered affected by pathologies judged too complex or advanced to receive safe and effective treatments. These advances range from the development of new surgical techniques and devices to the applications of novel technologies, such as the expansion of minimally invasive techniques and the implementation of artificial intelligence and augmented reality, which provide hepatobiliary patients with the optimal diagnostic, therapeutic and prognostic tools, aiming at achieving the best possible outcomes.

In such a fast-developing scenario, this Special Issue has the objective of focusing on the latest advances in all aspects of hepatobiliary surgery.

Dr. Gianluca Rompianesi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hepatobiliary surgery
  • liver surgery
  • biliary surgery
  • endoscopy
  • minimally invasive surgery
  • robotic surgery
  • artificial intelligence

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Other

15 pages, 3051 KiB  
Article
Predicting Safe Liver Resection Volume for Major Hepatectomy Using Artificial Intelligence
by Chol Min Kang, Hyung June Ku, Hyung Hwan Moon, Seong-Eun Kim, Ji Hoon Jo, Young Il Choi and Dong Hoon Shin
J. Clin. Med. 2024, 13(2), 381; https://0-doi-org.brum.beds.ac.uk/10.3390/jcm13020381 - 10 Jan 2024
Viewed by 812
Abstract
(1) Background: Advancements in the field of liver surgery have led to a critical need for precise estimations of preoperative liver function to prevent post-hepatectomy liver failure (PHLF), a significant cause of morbidity and mortality. This study introduces a novel application of artificial [...] Read more.
(1) Background: Advancements in the field of liver surgery have led to a critical need for precise estimations of preoperative liver function to prevent post-hepatectomy liver failure (PHLF), a significant cause of morbidity and mortality. This study introduces a novel application of artificial intelligence (AI) in determining safe resection volumes according to a patient’s liver function in major hepatectomies. (2) Methods: We incorporated a deep learning approach, incorporating a unique liver-specific loss function, to analyze patient characteristics, laboratory data, and liver volumetry from computed tomography scans of 52 patients. Our approach was evaluated against existing machine and deep learning techniques. (3) Results: Our approach achieved 68.8% accuracy in predicting safe resection volumes, demonstrating superior performance over traditional models. Furthermore, it significantly reduced the mean absolute error in under-predicted volumes to 23.72, indicating a more precise estimation of safe resection limits. These findings highlight the potential of integrating AI into surgical planning for liver resections. (4) Conclusion: By providing more accurate predictions of safe resection volumes, our method aims to minimize the risk of PHLF, thereby improving clinical outcomes for patients undergoing hepatectomy. Full article
(This article belongs to the Special Issue Advances in Hepatobiliary Surgery)
Show Figures

Figure 1

Other

Jump to: Research

11 pages, 411 KiB  
Systematic Review
Robotic Vascular Resection in Pancreatic Ductal Adenocarcinoma: A Systematic Review
by Victoria Zecchin Ferrara, Alessandro Martinino, Francesco Toti, Davide Schilirò, Federico Pinto, Francesco Giovinazzo and on behalf of the SMAGEICS Group
J. Clin. Med. 2024, 13(7), 2000; https://0-doi-org.brum.beds.ac.uk/10.3390/jcm13072000 - 29 Mar 2024
Viewed by 922
Abstract
(1) Background: This study comprehensively compared robotic pancreatic surgery with vascular resection (RPS-VR) to other surgical procedures in the treatment of pancreatic ductal adenocarcinoma (PDAC). (2) Methods: A systematic review of relevant literature was conducted to assess a range of crucial surgical and [...] Read more.
(1) Background: This study comprehensively compared robotic pancreatic surgery with vascular resection (RPS-VR) to other surgical procedures in the treatment of pancreatic ductal adenocarcinoma (PDAC). (2) Methods: A systematic review of relevant literature was conducted to assess a range of crucial surgical and oncological outcomes. (3) Results: Findings indicate that robotic surgery with vascular resections (VRs) significantly prolongs the duration of surgery compared to other surgical procedures, and they notably demonstrate an equal hospital stay. While some studies reported a lower conversion rate and a higher rate of blood loss and blood transfusion in the RPS-VR group, others found no significant disparity. Furthermore, RPS-VR consistently correlated with comparable recurrence rates, free margins R0, postoperative mortality, and complication rates. Concerning the last one, certain reviews reported a higher rate of major complications. Overall survival and disease-free survival remained comparable between the RPS-VR and other surgical techniques in treating PDAC. (4) Conclusions: The analysis emphasizes how RPS-VR is a resembling approach in terms of surgical outcomes and aligns with existing literature findings in this field. Full article
(This article belongs to the Special Issue Advances in Hepatobiliary Surgery)
Show Figures

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Clinical impact of intra-abdominal collections after pancreatic resections: a retrospective cohort study in a high volume centre
Authors: Annalisa Comandatore; Simone Guadagni; Niccoló Furbetta; Gregorio Di Franco; Matteo Palmeri; Giusy Tiseo; Niccoló Riccardi; Elisa Giovannetti; Marco Falcone; Luca Morelli
Affiliation: 1. General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy 2. Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam University Medical Centers (Amsterdam UMC), Vrije Universiteit Amsterdam, the Netherlands 3. Infectious Disease Unit, Azienda Ospedaliera Universitaria Pisana, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy 4. Cancer Pharmacology Lab, Fondazione Pisana per la Scienza, Pisa, Italy.
Abstract: Intra-abdominal abscesses are a frequent cause of morbidity following pancreatoduodenectomy, usually occur as a consequence of pancreato-jejunal or hepatic-jejunal fistula, sometimes these collections may be associated with sepsis. These collections can sometimes present real walls and can be treated using different strategies. The aim of this study is to analyze prospectively collected data related to this complication in a retrospective cohort of patients. In the period between January 2018 and April 2023, a total of 225 pancreatoduodenectomies were performed in our Centre, of these patients, about 50 had a discovery of positive drainage for bacteria. The main objective of this study is to assess the correlation between the occurrence of this complication and the clinical outcome. Secondly, we focused on analyzing whether a therapeutic strategy (interventional radiology rather than medical antibiotic therapy), may be more effective in improving outcome and reducing morbidity. In conclusion, this study aims to analyze the causes and possible correlations of a frequent complication linked to this type of surgery. Indeed, despite improvements in perioperative mortality, the incidence of postoperative infections remains high after pancreatoduodenectomy, and large-scale studies in high-volume centers are needed to establish the best prophylactic and therapeutic strategies to try to improve the perioperative outcome.

Back to TopTop