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Pancreatic Neoplasms

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A Wavelet-Based Learning Model Enhances Molecular Prognosis in Pancreatic Adenocarcinoma.

BioMed research international
Genome-wide omics technology boosts deep interrogation into the clinical prognosis and inherent mechanism of pancreatic oncology. Classic LASSO methods coequally treat all candidates, ignoring individual characteristics, thus frequently deteriorating...

Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.

European journal of nuclear medicine and molecular imaging
PURPOSE: Diagnosis of lymph node metastasis (LNM) is critical for patients with pancreatic ductal adenocarcinoma (PDAC). We aimed to build deep learning radiomics (DLR) models of dual-energy computed tomography (DECT) to classify LNM status of PDAC a...

CT classification model of pancreatic serous cystic neoplasms and mucinous cystic neoplasms based on a deep neural network.

Abdominal radiology (New York)
BACKGROUND: At present, numerous challenges exist in the diagnosis of pancreatic SCNs and MCNs. After the emergence of artificial intelligence (AI), many radiomics research methods have been applied to the identification of pancreatic SCNs and MCNs.

Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art.

Computational and mathematical methods in medicine
Cancer early detection increases the chances of survival. Some cancer types, like pancreatic cancer, are challenging to diagnose or detect early, and the stages have a fast progression rate. This paper presents the state-of-the-art techniques used in...

Short-term and pathologic outcomes of robotic versus open pancreatoduodenectomy for periampullary and pancreatic head malignancy: an early experience.

Journal of robotic surgery
Open pancreatoduodenectomy (OPD) is associated with high perioperative morbidity. Adoption of robot-assisted pancreatoduodenectomy (RAPD) has been slow despite ergonomic advantages, improved visualization and dexterity. We aim to report our experienc...

Analysis of the Effect of Robots in the Treatment of Pancreatic Cancer Based on Smart Medicine.

Journal of healthcare engineering
In order to study the effect of robots in the treatment of pancreatic cancer in the context of smart medical, this paper improves the robot recognition technology and data processing technology and improves the system kernel algorithm through the has...

Robot Assisted Distal Pancreatectomy with Celiac Axis Resection (DP-CAR) for Pancreatic Cancer: Surgical Planning and Technique.

Journal of visualized experiments : JoVE
Malignant pancreatic tumors involving the celiac artery can be resected with a distal pancreatectomy, splenectomy and celiac axis resection (DP-CAR), relying on collateral flow to the liver through the gastroduodenal artery (GDA). In the current manu...

Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer.

Scientific reports
The selection of genes that are important for obtaining gene expression data is challenging. Here, we developed a deep learning-based feature selection method suitable for gene selection. Our novel deep learning model includes an additional feature-s...

Robotic pancreas surgery: an overview of history and update on technique, outcomes, and financials.

Journal of robotic surgery
The use robotics in surgery is gaining momentum. This approach holds substantial promise in pancreas surgery. Robotic surgery for pancreatic lesions and malignancies has become well accepted and is expanding to more and more center annually. The numb...