胰腺癌早期检测的进展：人工智能和新型成像技术的作用。

IF 2.3 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Abdominal Radiology Pub Date : 2024-10-28 DOI:10.1007/s00261-024-04644-7

Chenchan Huang, Yiqiu Shen, Samuel J Galgano, Ajit H Goenka, Elizabeth M Hecht, Avinash Kambadakone, Zhen Jane Wang, Linda C Chu

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引用次数: 0

摘要

早期发现对于提高胰腺导管腺癌（PDA）的存活率至关重要，但目前的诊断方法往往在这一阶段失效。最近，人们对通过新型成像技术以及最引人注目的人工智能（AI）技术改善风险分层和开发成像生物标志物产生了浓厚的兴趣。本综述概述了这些进展，重点介绍了用于 PDA 早期检测的深度学习方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques.

Early detection is crucial for improving survival rates of pancreatic ductal adenocarcinoma (PDA), yet current diagnostic methods can often fail at this stage. Recently, there has been significant interest in improving risk stratification and developing imaging biomarkers, through novel imaging techniques, and most notably, artificial intelligence (AI) technology. This review provides an overview of these advancements, with a focus on deep learning methods for early detection of PDA.

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来源期刊

Abdominal Radiology Medicine-Radiology, Nuclear Medicine and Imaging

CiteScore

5.20

自引率

8.30%

发文量

334

期刊介绍： Abdominal Radiology seeks to meet the professional needs of the abdominal radiologist by publishing clinically pertinent original, review and practice related articles on the gastrointestinal and genitourinary tracts and abdominal interventional and radiologic procedures. Case reports are generally not accepted unless they are the first report of a new disease or condition, or part of a special solicited section. Reasons to Publish Your Article in Abdominal Radiology: · Official journal of the Society of Abdominal Radiology (SAR) · Published in Cooperation with: European Society of Gastrointestinal and Abdominal Radiology (ESGAR) European Society of Urogenital Radiology (ESUR) Asian Society of Abdominal Radiology (ASAR) · Efficient handling and Expeditious review · Author feedback is provided in a mentoring style · Global readership · Readers can earn CME credits