Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Journal: Clinical and translational gastroenterology

Published Date: May 22, 2019

Abstract

OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic adenocarcinoma. Artificial intelligence (AI) is a mathematical concept whose implementation automates learning and recognizing data patterns. The aim of this study was to investigate whether AI via deep learning algorithms using endoscopic ultrasonography (EUS) images of IPMNs could predict malignancy.

Authors

Takamichi Kuwahara

Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan.
Kazuo Hara

First Department of Comprehensive Medicine, Division of Endocrinology and Metabolism, Jichi Medical University Saitama Medical Center, 1-847 Amanuma-cho, Omiya-ku, Saitama 330-8503, Japan.
Nobumasa Mizuno

Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan.
Nozomi Okuno

Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan.
Shimpei Matsumoto

Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan.
Masahiro Obata

Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan.
Yusuke Kurita

Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan.
Hiroki Koda

Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan.
Kazuhiro Toriyama

Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan.
Sachiyo Onishi

Department of Endoscopy, Aichi Cancer Center Hospital, Nagoya, Japan.
Makoto Ishihara

Department of Endoscopy, Aichi Cancer Center Hospital, Nagoya, Japan.
Tsutomu Tanaka

Department of Endoscopy, Aichi Cancer Center Hospital, Nagoya, Japan.
Masahiro Tajika

Department of Endoscopy, Aichi Cancer Center Hospital, Nagoya, Japan.
Yasumasa Niwa

Department of Endoscopy, Aichi Cancer Center Hospital, Nagoya, Japan.

Keywords

Adult Aged Aged, 80 and over Carcinoma, Pancreatic Ductal Deep Learning Disease Progression Endosonography Female Humans Image Processing, Computer-Assisted Male Middle Aged Pancreas Pancreatectomy Pancreatic Intraductal Neoplasms Pancreatic Neoplasms Preoperative Period Retrospective Studies ROC Curve

External Resources

View on PubMed Access via DOI PubMed (31117111)

Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Abstract

Authors

Keywords

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