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Predicting loss of independence among geriatric patients following gastrointestinal surgery.
Patient Saf Surg
January 2025
Department of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Background: While existing risk calculators focus on mortality and complications, elderly patients are concerned with how operations will affect their quality of life, especially their independence. We sought to develop a novel clinically relevant and easy-to-use score to predict elderly patients' loss of independence after gastrointestinal surgery.
Methods: This retrospective cohort study included patients age ≥ 65 years enrolled in the American College of Surgeons National Surgical Quality Improvement Program database and Geriatric Pilot Project who underwent pancreatic, colorectal, or hepatic surgery (January 1, 2014- December 31, 2018).
Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes.
Eur Radiol
January 2025
Laboratory of Key Technology and Materials in Minimally Invasive Spine Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objectives: To investigate how studies determine the sample size when developing radiomics prediction models for binary outcomes, and whether the sample size meets the estimates obtained by using established criteria.
Methods: We identified radiomics studies that were published from 01 January 2023 to 31 December 2023 in seven leading peer-reviewed radiological journals. We reviewed the sample size justification methods, and actual sample size used.
Ongoing replication stress tolerance and clonal T cell responses distinguish liver and lung recurrence and outcomes in pancreatic cancer.
Nat Cancer
January 2025
Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.
Patients with metastatic pancreatic ductal adenocarcinoma survive longer if disease spreads to the lung but not the liver. Here we generated overlapping, multi-omic datasets to identify molecular and cellular features that distinguish patients whose disease develops liver metastasis (liver cohort) from those whose disease develops lung metastasis without liver metastases (lung cohort). Lung cohort patients survived longer than liver cohort patients, despite sharing the same tumor subtype.
View Article and Find Full Text PDFEndoscopic techniques for the diagnosis of pancreatic cystic lesions.
World J Gastroenterol
January 2025
Gastroenterology Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia 71122, Italy.
Pancreatic cysts are mostly incidental findings on computed tomography or magnetic resonance imaging scans, with few patients presenting with abdominal pain or other symptoms. The accurate diagnosis of cysts is important as management depends on the type (neoplastic or non-neoplastic). Cross-sectional imaging is fast being replaced with endoscopic ultrasound (EUS) and various techniques based on that such as EUS-guided fine needle aspiration, EUS-guided needle confocal laser endomicroscopy, EUS-through-the-needle biopsy, and contrast-enhanced EUS.
View Article and Find Full Text PDFAssessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.
PLoS One
January 2025
Dep. of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Introduction: Pancreaticoduodenectomy (PD) for patients with pancreatic ductal adenocarcinoma (PDAC) is associated with a high risk of postoperative complications (PoCs) and risk prediction of these is therefore critical for optimal treatment planning. We hypothesize that novel deep learning network approaches through transfer learning may be superior to legacy approaches for PoC risk prediction in the PDAC surgical setting.
Methods: Data from the US National Surgical Quality Improvement Program (NSQIP) 2002-2018 were used, with a total of 5,881,881 million patients, including 31,728 PD patients.
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