AIMC Topic: Pancreatic Neoplasms
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Robotic Total Pancreatectomy: A Novel Pancreatic Head-First Approach (with Video).
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Feb 11, 2021
BACKGROUND: The development of the Da Vinci robotic platform has drastically altered the paradigm of minimal invasive pancreatic surgery. However, the evidence of robotic total pancreatectomy (RTP) is still limited. Here we report an alternative appr...
[Robot-assisted Distal Pancreatectomy with En Bloc Celiac Axis Resection (Modified Appleby Procedure) after Neoadjuvant Therapy].
Zentralblatt fur Chirurgie
Feb 3, 2021
Pancreatic carcinoma in the body and on the left side of the mesentericoportal axis is often only detected in late stages owing to unspecific or even missing clinical symptoms. In approximately 20% of the cases, there is already infiltration of the t...
Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer.
IEEE transactions on medical imaging
Feb 2, 2021
Pancreatic cancer is a malignant form of cancer with one of the worst prognoses. The poor prognosis and resistance to therapeutic modalities have been linked to TP53 mutation. Pathological examinations, such as biopsies, cannot be frequently performe...
Outcomes of a Multicenter Training Program in Robotic Pancreatoduodenectomy (LAELAPS-3).
Annals of surgery
Feb 1, 2021
OBJECTIVE: To assess feasibility and safety of a multicenter training program in robotic pancreatoduodenectomy (RPD) adhering to the IDEAL framework for implementation of surgical innovation.
Visual Analytics of a Computer-Aided Diagnosis System for Pancreatic Lesions.
IEEE transactions on visualization and computer graphics
Jan 28, 2021
Machine learning is a powerful and effective tool for medical image analysis to perform computer-aided diagnosis (CAD). Having great potential in improving the accuracy of a diagnosis, CAD systems are often analyzed in terms of the final accuracy, le...
High performance in risk stratification of intraductal papillary mucinous neoplasms by confocal laser endomicroscopy image analysis with convolutional neural networks (with video).
Gastrointestinal endoscopy
Jan 16, 2021
BACKGROUND AND AIMS: EUS-guided needle-based confocal laser endomicroscopy (EUS-nCLE) can differentiate high-grade dysplasia/adenocarcinoma (HGD-Ca) in intraductal papillary mucinous neoplasms (IPMNs) but requires manual interpretation. We sought to ...
Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images.
Scientific reports
Jan 14, 2021
As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past decade. On the other hand, recent advances in deep learning and transfer learning have shown significant potential in the quanti...
Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.
Theranostics
Jan 1, 2021
Artificial intelligence can facilitate clinical decision making by considering massive amounts of medical imaging data. Various algorithms have been implemented for different clinical applications. Accurate diagnosis and treatment require reliable an...
Pure and Hybrid Deep Learning Models can Predict Pathologic Tumor Response to Neoadjuvant Therapy in Pancreatic Adenocarcinoma: A Pilot Study.
The American surgeon
Dec 31, 2020
BACKGROUND: Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; however, determining response to therapy is difficult. Artificial intelligence allows for novel analysis of images. We hypothesized that a deep learning ...
Formal robotic training diminishes the learning curve for robotic pancreatoduodenectomy: Implications for new programs in complex robotic surgery.
Journal of surgical oncology
Nov 2, 2020
INTRODUCTION: The learning curve associated with robotic pancreatoduodenectomy (RPD) is a hurdle for new programs to achieve optimal results. Since early analysis, robotic training has recently expanded, and the RPD approach has been refined. The pur...
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