Background: Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is a safe and accurate technique for diagnosing pancreatic cancer. However, its impact for management of these patients is poorly investigated.
Aims: To investigate the diagnostic yield and the therapeutic impact of EUS-FNA in the management of solid pancreatic masses.
Methods: One hundred consecutive patients who underwent EUS-FNA for a solid pancreatic mass were included. Aspirates were placed onto glass slides for cytological examination and microbiopsies were fixed in formaldehyde for histology. The impact on clinical management was analysed retrospectively according to different endpoints, such as its impact on indications for chemotherapy, surgery or appropriate follow-up modality.
Results: Eight procedures were considered failures and two patients were lost to follow-up. A final diagnosis was obtained in 90 patients. The sensitivity, specificity and accuracy of combined cytology and histology for the diagnosis of malignant or potentially-malignant tumours were 78%, 75%, and 78% respectively. The sensitivity and accuracy of cytology alone were significantly higher than those of histology alone (P = 0.0003). By intention-to-diagnose analysis, EUS-FNA directly influenced the management strategy in 62 of 100 patients.
Conclusions: In patients with pancreatic mass and suspected malignancy, EUS-FNA provides an accurate diagnosis in approximately 80% of cases. EUS-FNA directly influences the management in two-thirds of patients.
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http://dx.doi.org/10.1111/j.1365-2036.2009.04138.x | DOI Listing |
Cancer Lett
January 2025
State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, 102206, Beijing, China; International Academy of Phronesis Medicine (Guangdong), 510320, Guangdong, China. Electronic address:
Recent advancements in multi-omics and big-data technologies have facilitated the discovery of numerous cancer prognostic biomarkers and gene signatures. However, their clinical application remains limited due to poor reproducibility and insufficient independent validation. Despite the availability of high-quality datasets, achieving reliable biomarker identification across multiple cohorts continues to be a significant challenge.
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January 2025
Department of Gastroenterology, Endocrinology and Metabolism, Center for Tumor and Immune Biology, Philipps University Marburg, Marburg, Germany.
The development of resistance remains one of the biggest challenges in clinical cancer patient care and it comprises all treatment modalities from chemotherapy to targeted or immune therapy. In solid malignancies, drug resistance is the result of adaptive processes occurring in cancer cells or the surrounding tumor microenvironment (TME). Future therapy attempts will therefore benefit from targeting both, tumor and stroma compartments and drug targets which affect both sides will be highly appreciated.
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January 2025
Biomedical Research Center, Slovak Academy of Sciences, Dubravska Cesta 9, 84505 Bratislava, Slovakia. Electronic address:
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by late detection and poor prognosis. Recent research highlights the pivotal role of epigenetic alter- ations in driving PDAC development and progression. These changes, in conjunction with genetic mutations, contribute to the intricate molecular landscape of the disease.
View Article and Find Full Text PDFBiomark Med
January 2025
The Nutristasis Unit, Synnovis, St. Thomas' Hospital, London, UK.
This case describes a patient with pancreatic exocrine insufficiency and persistently elevated serum vitamin B12 concentrations that were not due to supplementation or associated with hepatic or hematological pathology. Laboratory investigations suggested the presence of macro-B12 as the cause of this patient's raised serum vitamin B12. Macro-B12 is often formed when vitamin B12-vitamin binding proteins (transcobalamin and haptocorrin) complex with immunoglobulins.
View Article and Find Full Text PDFJ Clin Med
January 2025
Precision Medicine Unit, Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal.
Several artificial intelligence systems based on large language models (LLMs) have been commercially developed, with recent interest in integrating them for clinical questions. Recent versions now include image analysis capacity, but their performance in gastroenterology remains untested. This study assesses ChatGPT-4's performance in interpreting gastroenterology images.
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