AIMC Topic: Pancreatic Neoplasms

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Robotic pancreatic tumor enucleation by the double bipolar technique using the da Vinci SP system: An initial case report with a technical detail.

Asian journal of endoscopic surgery Dec 11, 2023
Pancreatic tumor enucleation is a procedure that can preserve pancreatic function and is sometimes performed using a minimally invasive approach. Recently, a single-port robotic platform called da Vinci SP has been developed. However, the technical d...
Humans Male Dissection Neuroendocrine Tumors Pancreatic Neoplasms Robotics Robotic Surgical Procedures
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Machine Learning Methods Based on CT Features Differentiate G1/G2 From G3 Pancreatic Neuroendocrine Tumors.

Academic radiology Dec 4, 2023
RATIONALE AND OBJECTIVES: To identify CT features for distinguishing grade 1 (G1)/grade 2 (G2) from grade 3 (G3) pancreatic neuroendocrine tumors (PNETs) using different machine learning (ML) methods.
Humans Radiographic Image Interpretation, Computer-Assisted Neuroendocrine Tumors Diagnosis, Differential Aged Pancreatic Neoplasms Adult Neoplasm Grading Sensitivity and Specificity Male Middle Aged Support Vector Machine Retrospective Studies Machine Learning Tomography, X-Ray Computed Algorithms Female
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Artificial intelligence assisted endoscopic ultrasound for detection of pancreatic space-occupying lesion: a systematic review and meta-analysis.

International journal of surgery (London, England) Dec 1, 2023
BACKGROUND: Diagnosing pancreatic lesions, including chronic pancreatitis, autoimmune pancreatitis, and pancreatic cancer, poses a challenge and, as a result, is time-consuming. To tackle this issue, artificial intelligence (AI) has been increasingly...
Humans Pancreatic Neoplasms Endosonography Pancreas Artificial Intelligence Adult Sensitivity and Specificity
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Noninvasive Computed Tomography-Based Deep Learning Model Predicts In Vitro Chemosensitivity Assay Results in Pancreatic Cancer.

Pancreas Nov 24, 2023
OBJECTIVES: We aimed to predict in vitro chemosensitivity assay results from computed tomography (CT) images by applying deep learning (DL) to optimize chemotherapy for pancreatic ductal adenocarcinoma (PDAC).
Humans Deep Learning Pancreatic Neoplasms Paclitaxel Tomography Drug Resistance, Neoplasm Drug Screening Assays, Antitumor Gemcitabine Fluorouracil Carcinoma, Pancreatic Ductal
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Large-scale pancreatic cancer detection via non-contrast CT and deep learning.

Nature medicine Nov 20, 2023
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screening asymptomatic individuals for PDAC usi...
Pancreas Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Deep Learning
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Should All Pancreatic Cystic Lesions with Worrisome or High-Risk Features Be Resected? A Clinical and Radiological Machine Learning Model May Help to Answer.

Academic radiology Nov 17, 2023
RATIONALE AND OBJECTIVES: According to current guidelines, pancreatic cystic lesions (PCLs) with worrisome or high-risk features may have overtreatment. The purpose of this study was to build a clinical and radiological based machine-learning (ML) mo...
Pancreatic Cyst Male Middle Aged Pancreatic Neoplasms Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Sensitivity and Specificity Humans Machine Learning
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CT scan pancreatic cancer segmentation and classification using deep learning and the tunicate swarm algorithm.

PloS one Nov 6, 2023
Pancreatic cancer (PC) is a very lethal disease with a low survival rate, making timely and accurate diagnoses critical for successful treatment. PC classification in computed tomography (CT) scans is a vital task that aims to accurately discriminate...
Pancreas Tomography, X-Ray Computed Humans Deep Learning Algorithms Pancreatic Neoplasms
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Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning.

Cancer imaging : the official publication of the International Cancer Imaging Society Oct 5, 2023
OBJECTIVES: The goal of this study is to demonstrate the performance of radiomics and CNN-based classifiers in determining the primary origin of gastrointestinal liver metastases for visually indistinguishable lesions.
Liver Neoplasms Adenocarcinoma Pancreatic Neoplasms Colorectal Neoplasms Humans Male Tomography, X-Ray Computed Retrospective Studies Female Deep Learning
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A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging.

Scientific reports Oct 2, 2023
Pancreatic fine-needle aspirations are the gold-standard diagnostic procedure for the evaluation of pancreatic ductal adenocarcinoma. A suspicion for malignancy can escalate towards chemotherapy followed by a major surgery and therefore is a high-sta...
Humans Pancreas Adenocarcinoma Pancreatic Neoplasms Deep Learning Triage
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Expanding the utility of robotics for pancreaticoduodenectomy: a 10-year review and comparison to international benchmarks in pancreatic surgery.

Surgical endoscopy Sep 25, 2023
BACKGROUND: Robotic pancreaticoduodenectomy (RPD) is an emerging alternative to open pancreaticoduodenectomy (OPD). Although RPD offers various theoretical advantages, it is used in less than 10% of all pancreaticoduodenectomies. The aim of this stud...
Pancreaticoduodenectomy Humans Robotic Surgical Procedures Retrospective Studies Postoperative Complications Benchmarking Pancreatic Neoplasms Robotics
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