Contrast‐enhanced harmonic endoscopic ultrasound (CH‐EUS) MASTER: A novel deep learning‐based system in pancreatic mass diagnosis

Distinguishing pancreatic cancer from nonneoplastic masses is critical and remains a clinical challenge. The study aims to construct a deep learning‐based artificial intelligence system to facilitate pancreatic mass diagnosis, and to guide EUS‐guided fine‐needle aspiration (EUS‐FNA) in real time.

[1]  Jun Zhang,et al.  Deep-learning-based pancreas segmentation and station recognition system in EUS: development and validation of a useful training tool (with video). , 2020, Gastrointestinal endoscopy.

[2]  W. Curran,et al.  Deep learning in medical image registration: a review , 2019, Physics in medicine and biology.

[3]  Carlos Pineda,et al.  Computer-aided diagnosis in rheumatic diseases using ultrasound: an overview , 2019, Clinical Rheumatology.

[4]  O. Kolokythas,et al.  Chronic Pancreatitis or Pancreatic Tumor? A Problem-solving Approach. , 2019, Radiographics : a review publication of the Radiological Society of North America, Inc.

[5]  Shutang Han,et al.  Contrast-enhanced harmonic endoscopic ultrasonography for the differential diagnosis of pancreatic masses: A systematic review and meta-analysis. , 2019, Molecular and clinical oncology.

[6]  Yi Zhu,et al.  Artificial intelligence in computer-aided diagnosis of abdomen diseases , 2019, Science China Life Sciences.

[7]  Takamichi Kuwahara,et al.  Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas , 2019, Clinical and translational gastroenterology.

[8]  Sibin Mei,et al.  Contrast-Enhanced EUS for Differential Diagnosis of Pancreatic Masses: A Meta-Analysis , 2019, Gastroenterology research and practice.

[9]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[10]  Nima Tajbakhsh,et al.  UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.

[11]  F. Rahim,et al.  The outcomes and complications of pancreaticoduodenectomy (Whipple procedure): Cross sectional study. , 2018, International journal of surgery.

[12]  Li Tian,et al.  Evaluation of 22G fine-needle aspiration (FNA) versus fine-needle biopsy (FNB) for endoscopic ultrasound-guided sampling of pancreatic lesions: a prospective comparison study , 2018, Surgical Endoscopy.

[13]  M. Fujishiro,et al.  Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images , 2018, Gastric Cancer.

[14]  M. Kudo,et al.  Characterization of Pancreatic Tumors with Quantitative Perfusion Analysis in Contrast-Enhanced Harmonic Endoscopic Ultrasonography , 2017, Oncology.

[15]  Ranadip Pal,et al.  Heterogeneity Aware Random Forest for Drug Sensitivity Prediction , 2017, Scientific Reports.

[16]  Syed Muhammad Anwar,et al.  Medical Image Analysis using Convolutional Neural Networks: A Review , 2017, Journal of Medical Systems.

[17]  George Papandreou,et al.  Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.

[18]  O. Kocaman,et al.  Age-based computer-aided diagnosis approach for pancreatic cancer on endoscopic ultrasound images , 2016, Endoscopic ultrasound.

[19]  A. Ignee,et al.  Quantitative contrast-enhanced harmonic EUS in differential diagnosis of focal pancreatic masses (with videos). , 2015, Gastrointestinal endoscopy.

[20]  Can Xu,et al.  Contrast-Enhanced Harmonic Endoscopic Ultrasound-Guided Fine-Needle Aspiration in the Diagnosis of Solid Pancreatic Lesions: A Retrospective Study , 2015, PloS one.

[21]  M. Alvarez-Sánchez,et al.  Contrast-enhanced harmonic endoscopic ultrasound imaging: basic principles, present situation and future perspectives. , 2014, World journal of gastroenterology.

[22]  M. Mcphail,et al.  EUS-guided FNA for diagnosis of solid pancreatic neoplasms: a meta-analysis. , 2012, Gastrointestinal endoscopy.

[23]  T. Ponchon,et al.  Contrast-enhanced harmonic endoscopic ultrasound in solid lesions of the pancreas: results of a pilot study , 2010, Endoscopy.

[24]  Robert Grützmann,et al.  Quantitative perfusion analysis of transabdominal contrast-enhanced ultrasonography of pancreatic masses and carcinomas. , 2009, Gastroenterology.

[25]  Fei-Fei Li,et al.  ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[26]  M. Bosio,et al.  Guidelines and Good Clinical Practice Recommendations for Contrast Enhanced Ultrasound (CEUS) - Update 2008 , 2008, Ultraschall in der Medizin.

[27]  C. Le Berre,et al.  Application of Artificial Intelligence to Gastroenterology and Hepatology. , 2019, Gastroenterology.

[28]  M. Kudo,et al.  Impact of avascular areas, as measured by contrast-enhanced harmonic EUS, on the accuracy of FNA for pancreatic adenocarcinoma. , 2018, Gastrointestinal endoscopy.

[29]  Masatoshi Kudo,et al.  A novel perfusion imaging technique of the pancreas: contrast-enhanced harmonic EUS (with video). , 2008, Gastrointestinal endoscopy.