Results 21 to 30 of about 1,861,549 (116)
IndoCyanine Green fluorescence guided resections in hepatobiliary surgery
Bangabandhu Sheikh Mujib Medical University Journal, 2023 Background: Fluorescence-guided surgery (FGS) has recently gained popularity as a promising technique for treating visceral, hepatobiliary, and pancreatic neoplasms.
Danilo Coco, Silvana Leanza
doaj +1 more source
Recent advances in nano material-based application of liver neoplasms
Smart Materials in Medicine, 2021 Significant impacts have occurred around the world because of liver neoplasms, especially Hepatocellular Carcinoma(HCC). Nano material has been used in diagnosis and treatment of liver neoplasms and showed us the productive prospect.
Yuan Cao, Hong-Wu Zhang
doaj
Journal of Minimally Invasive Surgery, 2023 Neuroendocrine tumors (NET) are relatively uncommon rectal neoplasms, and the liver is the most common site of distant metastasis. Simultaneous liver and colorectal resections by minimally invasive surgery and natural orifice specimen extraction are ...
Mufaddal Kazi +2 more
doaj +1 more source
BMC Gastroenterology, 2021 Background There are limited data regarding the factors associated with hepatocellular carcinoma (HCC) in non-alcoholic fatty liver disease (NAFLD) patients without cirrhosis. We sought to determine the prevalence and factors associated with HCC in NAFLD
Kanokwan Pinyopornpanish +7 more
doaj +1 more source
Prognostic Factors after Liver Resection for Colorectal Liver Metastasis
Acta Médica Portuguesa, 2015 Introduction: Surgery is the only potentially curative treatment for patients with colorectal liver metastases, resulting in 5-year survival rates of 36–58%.
Margarida Matias +6 more
doaj +1 more source
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data [PDF]
arXiv, 2021 Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced preprocessing technique is proposed to improve the area of interest in MRI data and a hybrid technique using Convolutional ...
arxiv
Liver segmentation and metastases detection in MR images using convolutional neural networks [PDF]
J. Med. Imag. 6(4), 044003 (2019), 2019 Primary tumors have a high likelihood of developing metastases in the liver and early detection of these metastases is crucial for patient outcome. We propose a method based on convolutional neural networks (CNN) to detect liver metastases. First, the liver was automatically segmented using the six phases of abdominal dynamic contrast enhanced (DCE) MR
arxiv +1 more source
Clonal Evolution Dynamics in Primary and Metastatic Lesions of Pancreatic Neuroendocrine Neoplasms
Frontiers in Medicine, 2021 Background: Data on inter-tumoral heterogeneity and clonal evolution of pancreatic neuroendocrine neoplasms (panNENs) with liver metastasis are limited.
Zhou Tong +11 more
doaj +1 more source
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm [PDF]
, 2023 In recent days, Deep Learning (DL) techniques have become an emerging transformation in the field of machine learning, artificial intelligence, computer vision, and so on. Subsequently, researchers and industries have been highly endorsed in the medical field, predicting and controlling diverse diseases at specific intervals.
arxiv +1 more source
Mathematical models for order of mutation problem in myeloproliferative neoplasm: non-additivity and non-commutativity [PDF]
arXiv, 2023 In some patients of myeloproliferative neoplasm, two genetic mutations can be found: JAK2 V617F and TET2. When one mutation is present or not, the other mutation has different effects on regulating gene expressions. Besides, when both mutations are present, the order of occurrence might make a difference.
arxiv