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Medicina
Special Issues
Diagnosis and Treatment of Acute Pancreatitis
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Diagnosis and Treatment of Acute Pancreatitis

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Gastroenterology & Hepatology".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 2587

Special Issue Editors

Dr. Manuela Mastronardi

E-Mail Website
Guest Editor
Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
Interests: emergency; trauma; minimally invasive surgery
Dr. Alan Biloslavo

E-Mail Website
Guest Editor
Department of General Surgery, Cattinara University Hospital, Trieste, Italy
Interests: emergency and trauma surgery
Dr. Antonio La Greca

E-Mail Website
Guest Editor
Department of Medical and Surgical Science, Emergency and Trauma Unit, Fondazione Policlinico A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
Interests: emergency surgery; trauma; vascular access; abdominal wall; negative pressure
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Acute pancreatitis is an inflammatory condition of the pancreas that can range from mild discomfort to a severe, life-threatening illness. Despite significant advancements, acute pancreatitis remains a common cause of hospitalization, with high morbidity and mortality. The condition can arise from various etiologies, necessitating a comprehensive approach to its management.

This Special Issue aims to consolidate current knowledge and recent advancements in the diagnosis and treatment of acute pancreatitis. It will provide a platform for discussing innovative research, clinical practices and future directions in managing this disease and its complications.

Molecular Mechanisms and Biomarkers: Analysis of the molecular pathways involved in the onset and progression of acute pancreatitis, and identification of potential novel biomarkers for prognosis.

Imaging Techniques: Advances in imaging modalities such as endoscopic ultrasound (EUS), magnetic resonance imaging (MRI) and computed tomography (CT) that improve diagnosis and treatment.

Therapeutic Interventions: Development and evaluation of endoscopic or minimally invasive procedures to improve patient treatment when intervention is required.

Gut Microbiota: Investigating the role of gut microbiota in acute pancreatitis and potential therapeutic implications of microbiome modulation.

Artificial Intelligence and Machine Learning: Utilization of AI and machine learning algorithms to predict disease severity, guide clinical decision-making and personalize treatment approaches.

We invite high-quality submissions that include, but are not limited to, the following types of papers: original research articles, review articles and meta-analyses, clinical trials and case studies.

This Special Issue will serve as a comprehensive resource for clinicians, researchers and healthcare professionals dedicated to advancing the understanding and management of acute pancreatitis. We look forward to your contributions that will enrich this critical field of study.

Dr. Manuela Mastronardi
Dr. Alan Biloslavo
Dr. Antonio La Greca
Guest Editors

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. Medicina is an international peer-reviewed open access monthly 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 2200 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

  • acute pancreatitis
  • endoscopy
  • minimally invasive surgery
  • microbiota
  • artificial intelligence

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Published Papers (2 papers)

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Review

15 pages, 689 KiB  
Review
AI and Machine Learning for Precision Medicine in Acute Pancreatitis: A Narrative Review
by Sandra López Gordo, Elena Ramirez-Maldonado, Maria Teresa Fernandez-Planas, Ernest Bombuy, Robert Memba and Rosa Jorba
Medicina 2025, 61(4), 629; https://doi.org/10.3390/medicina61040629 - 29 Mar 2025
Viewed by 919
Abstract
Acute pancreatitis (AP) presents a significant clinical challenge due to its wide range of severity, from mild cases to life-threatening complications such as severe acute pancreatitis (SAP), necrosis, and multi-organ failure. Traditional scoring systems, such as Ranson and BISAP, offer foundational tools for [...] Read more.
Acute pancreatitis (AP) presents a significant clinical challenge due to its wide range of severity, from mild cases to life-threatening complications such as severe acute pancreatitis (SAP), necrosis, and multi-organ failure. Traditional scoring systems, such as Ranson and BISAP, offer foundational tools for risk stratification but often lack early precision. This review aims to explore the transformative role of artificial intelligence (AI) and machine learning (ML) in AP management, focusing on their applications in diagnosis, severity prediction, complication management, and treatment optimization. A comprehensive analysis of recent studies was conducted, highlighting ML models such as XGBoost, neural networks, and multimodal approaches. These models integrate clinical, laboratory, and imaging data, including radiomics features, and are useful in diagnostic and prognostic accuracy in AP. Special attention was given to models addressing SAP, complications like acute kidney injury and acute respiratory distress syndrome, mortality, and recurrence. AI-based models achieved higher AUC values than traditional models in predicting acute pancreatitis outcomes. XGBoost reached an AUC of 0.93 for early SAP prediction, higher than BISAP (AUC 0.74) and APACHE II (AUC 0.81). PrismSAP, integrating multimodal data, achieved the highest AUC of 0.916. AI models also demonstrated superior accuracy in mortality prediction (AUC 0.975) and ARDS detection (AUC 0.891) AI and ML represent a transformative advance in AP management, facilitating personalized treatment, early risk stratification, and allowing resource utilization to be optimized. By addressing challenges such as model generalizability, ethical considerations, and clinical adoption, AI has the potential to significantly improve patient outcomes and redefine AP care standards globally. Full article
(This article belongs to the Special Issue Diagnosis and Treatment of Acute Pancreatitis)
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12 pages, 1373 KiB  
Review
Telling Ghost Stories Around a Bonfire—A Literature Review of Acute Bleeding Secondary to Pancreatitis
by Gabriele Bellio, Silvia Fattori, Andrea Sozzi, Matteo Maria Cimino and Hayato Kurihara
Medicina 2025, 61(1), 164; https://doi.org/10.3390/medicina61010164 - 20 Jan 2025
Viewed by 1117
Abstract
Bleeding is a rare but serious complication of pancreatitis, significantly increasing morbidity and mortality. It can arise from various sources, including erosion of blood vessels by inflammatory processes, formation of pseudoaneurysms, and gastrointestinal bleeding. Early diagnosis and timely intervention are crucial for patient [...] Read more.
Bleeding is a rare but serious complication of pancreatitis, significantly increasing morbidity and mortality. It can arise from various sources, including erosion of blood vessels by inflammatory processes, formation of pseudoaneurysms, and gastrointestinal bleeding. Early diagnosis and timely intervention are crucial for patient survival. Imaging modalities such as computed tomography and angiography are essential for identifying the bleeding source, where endoscopy may help in detecting and treating intraluminal hemorrhage. Management strategies for patients with extraluminal bleeding may involve angioembolization or surgical intervention, depending on the severity and location of the bleeding. While advances in diagnostic and therapeutic techniques have improved outcomes, bleeding in pancreatitis remains a challenging clinical problem requiring a multidisciplinary approach. This review aims to focus its attention specifically on the bleeding complications of pancreatitis. Full article
(This article belongs to the Special Issue Diagnosis and Treatment of Acute Pancreatitis)
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