AIMC Topic: Pancreatic Neoplasms

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Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation.

IEEE transactions on cybernetics
Automatic pancreas segmentation is crucial to the diagnostic assessment of diabetes or pancreatic cancer. However, the relatively small size of the pancreas in the upper body, as well as large variations of its location and shape in retroperitoneum, ...

A retrospective comparative study of robotic distal pancreatectomy with or without splenic vessel and spleen preservation.

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
BACKGROUND: Robotic distal pancreatectomy has been accepted to be safe and effective for pancreatic tail lesion. Whether spleen preservation by preserving the splenic vessels with robot assistance is feasible and beneficial remains controversial. Her...

Minimally invasive (laparoscopic and robot-assisted) versus open approach for central pancreatectomies: a single-center experience.

Surgical endoscopy
BACKGROUND: There continues to be an interest in minimally invasive approaches to pancreatic surgery. At our institution, there has been a progressive change from an open to minimally invasive surgery (MIS) (laparoscopic, robotic, or laparoscopic-rob...

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
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
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
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
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
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
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
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...