Publications by authors named "F Vilas-Boas"
Background: Pancreatic neuroendocrine tumours (pNETs) are a highly heterogeneous group of tumours with widely variable biological behaviour. The incidence of pNETs has risen exponentially over the last three decades, particularly for asymptomatic small pNETs (≤2 cm), due to the widespread use of cross-sectional imaging in clinical practice.
Summary: Current consensus guidelines suggest that incidentally discovered pNETs ≤2 cm can be selectively followed due to the overall low risk of malignancy.
Article Synopsis
- Endoscopic ultrasound (EUS) is an important tool for evaluating pancreatic lesions, but its accuracy is not very high, prompting the development of a convolutional neural network (CNN) to improve diagnosis of pancreatic cystic neoplasms (PCN) and pancreatic solid lesions (PSL).
- The CNN was trained on a large dataset from four international centers, comprising over 126,000 images, and successfully distinguished between different types of pancreatic lesions with high accuracy.
- The results showed the CNN achieved over 99% accuracy for normal pancreatic tissue and PCNs, while distinguishing between pancreatic ductal adenocarcinoma (P-DAC) and neuroendocrine tumors (P-NET) at 94% accuracy, pointing to the
Malignant gastric outlet obstruction (mGOO) is a major condition affecting patients with periampullary tumors, including pancreatic cancer. The current treatment options include surgical gastroenterostomy, endoscopic stenting and more recently EUS-guided gastroenterostomy. Most studies comparing the outcomes of the three procedures focus on technical success, clinical success and safety.
View Article and Find Full Text PDFPancreatic cystic lesions (PCLs) pose a diagnostic challenge due to their increasing incidence and the limitations of cross-sectional imaging and endoscopic-ultrasound-guided fine-needle aspiration (EUS-FNA). EUS-guided through the needle biopsy (EUS-TTNB) has emerged as a promising tool for improving the accuracy of cyst type determination and neoplastic risk stratification. EUS-TTNB demonstrates superior diagnostic performance over EUS-FNA, providing critical preoperative information that can significantly influence patient management and reduce unnecessary surgeries.
View Article and Find Full Text PDFPancreatic neuroendocrine tumors (panNETs) are a group of neoplasms with heterogenous biological and clinical phenotypes. Although historically regarded as rare, the incidence of these tumors has been increasing, mostly owing to improvements in the detection of small, asymptomatic tumors with imaging. The heterogeneity of these lesions creates significant challenges regarding diagnosis, staging, and treatment.
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