• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review.放射组学及其在胰腺炎中的应用与进展:最新技术综述
Front Med (Lausanne). 2022 Jun 23;9:922299. doi: 10.3389/fmed.2022.922299. eCollection 2022.
2
Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients with chronic pancreatitis.两种列线图用于区分慢性胰腺炎患者的肿块型慢性胰腺炎和胰腺导管腺癌。
Eur Radiol. 2022 Sep;32(9):6336-6347. doi: 10.1007/s00330-022-08698-3. Epub 2022 Apr 8.
3
Radiomics Model Based on MR Images to Discriminate Pancreatic Ductal Adenocarcinoma and Mass-Forming Chronic Pancreatitis Lesions.基于磁共振图像的放射组学模型鉴别胰腺导管腺癌和肿块型慢性胰腺炎病变
Front Oncol. 2021 Mar 24;11:620981. doi: 10.3389/fonc.2021.620981. eCollection 2021.
4
Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features.利用 CT 放射组学特征鉴别自身免疫性胰腺炎与胰腺导管腺癌。
Diagn Interv Imaging. 2020 Sep;101(9):555-564. doi: 10.1016/j.diii.2020.03.002. Epub 2020 Apr 8.
5
Radiomic features of the pancreas on CT imaging accurately differentiate functional abdominal pain, recurrent acute pancreatitis, and chronic pancreatitis.胰腺 CT 影像的放射组学特征可准确区分功能性腹痛、复发性急性胰腺炎和慢性胰腺炎。
Eur J Radiol. 2020 Feb;123:108778. doi: 10.1016/j.ejrad.2019.108778. Epub 2019 Dec 11.
6
Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in F-FDG PET/CT.基于 F-FDG PET/CT 的影像组学分析鉴别自身免疫性胰腺炎和胰腺导管腺癌。
Med Phys. 2019 Oct;46(10):4520-4530. doi: 10.1002/mp.13733. Epub 2019 Aug 13.
7
Differentiating Mass-Forming Autoimmune Pancreatitis From Pancreatic Ductal Adenocarcinoma on the Basis of Contrast-Enhanced MRI and DWI Findings.基于增强 MRI 和 DWI 表现鉴别肿块型自身免疫性胰腺炎与胰腺导管腺癌。
AJR Am J Roentgenol. 2016 Feb;206(2):291-300. doi: 10.2214/AJR.15.14974.
8
Multimodel magnetic resonance imaging of mass-forming autoimmune pancreatitis: differential diagnosis with pancreatic ductal adenocarcinoma.肿块型自身免疫性胰腺炎的多模态磁共振成像:与胰腺导管腺癌的鉴别诊断。
BMC Med Imaging. 2021 Oct 15;21(1):149. doi: 10.1186/s12880-021-00679-0.
9
Mass-forming pancreatitis versus pancreatic ductal adenocarcinoma: CT and MR imaging for differentiation.肿块型胰腺炎与胰腺导管腺癌的 CT 和 MRI 鉴别诊断
Cancer Imaging. 2020 Jul 23;20(1):52. doi: 10.1186/s40644-020-00324-z.
10
Efficacy of perfusion CT in differentiating of pancreatic ductal adenocarcinoma from mass-forming chronic pancreatitis and characterization of isoattenuating pancreatic lesions.灌注 CT 对胰导管腺癌与肿块型慢性胰腺炎的鉴别诊断及等密度胰腺病变的特征分析。
Abdom Radiol (NY). 2019 Feb;44(2):593-603. doi: 10.1007/s00261-018-1776-9.

引用本文的文献

1
Perilesional dominance: radiomics of multiparametric MRI enhances differentiation of IgG4-Related ophthalmic disease and orbital MALT lymphoma.病灶周围优势:多参数MRI的放射组学增强了IgG4相关性眼病和眼眶黏膜相关淋巴组织淋巴瘤的鉴别诊断。
BMC Med Imaging. 2025 Jul 1;25(1):238. doi: 10.1186/s12880-025-01771-5.
2
Radiomics and 256-slice-dual-energy CT in the automated diagnosis of mild acute pancreatitis: the innovation of formal methods and high-resolution CT.基于影像组学和 256 层双源 CT 在轻度急性胰腺炎自动化诊断中的应用:形态学方法和高分辨率 CT 的创新。
Radiol Med. 2024 Oct;129(10):1444-1453. doi: 10.1007/s11547-024-01878-9. Epub 2024 Aug 30.
3
Artificial intelligence-based tools with automated segmentation and measurement on CT images to assist accurate and fast diagnosis in acute pancreatitis.基于人工智能的 CT 图像自动分割和测量工具,辅助急性胰腺炎的准确快速诊断。
Br J Radiol. 2024 Jun 18;97(1159):1268-1277. doi: 10.1093/bjr/tqae091.
4
Predictive value of machine learning for the severity of acute pancreatitis: A systematic review and meta-analysis.机器学习对急性胰腺炎严重程度的预测价值:一项系统评价和荟萃分析。
Heliyon. 2024 Apr 15;10(8):e29603. doi: 10.1016/j.heliyon.2024.e29603. eCollection 2024 Apr 30.

本文引用的文献

1
Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients with chronic pancreatitis.两种列线图用于区分慢性胰腺炎患者的肿块型慢性胰腺炎和胰腺导管腺癌。
Eur Radiol. 2022 Sep;32(9):6336-6347. doi: 10.1007/s00330-022-08698-3. Epub 2022 Apr 8.
2
Three-Dimensional Radiomics Features of Magnetic Resonance T2-Weighted Imaging Combined With Clinical Characteristics to Predict the Recurrence of Acute Pancreatitis.磁共振T2加权成像的三维影像组学特征联合临床特征预测急性胰腺炎复发
Front Med (Lausanne). 2022 Mar 10;9:777368. doi: 10.3389/fmed.2022.777368. eCollection 2022.
3
Radiomics: A Primer on Processing Workflow and Analysis.影像组学:处理工作流程和分析简介。
Semin Ultrasound CT MR. 2022 Apr;43(2):142-146. doi: 10.1053/j.sult.2022.02.003. Epub 2022 Feb 12.
4
The Utility of Endoscopic-Ultrasonography-Guided Tissue Acquisition for Solid Pancreatic Lesions.内镜超声引导下对胰腺实性病变进行组织获取的效用
Diagnostics (Basel). 2022 Mar 19;12(3):753. doi: 10.3390/diagnostics12030753.
5
Reproducibility of radiomics features from ultrasound images: influence of image acquisition and processing.超声图像纹理特征的可重复性:采集和处理的影响。
Eur Radiol. 2022 Sep;32(9):5843-5851. doi: 10.1007/s00330-022-08662-1. Epub 2022 Mar 22.
6
An Ultrasonic-Based Radiomics Nomogram for Distinguishing Between Benign and Malignant Solid Renal Masses.一种基于超声的影像组学列线图用于鉴别肾实性肿块的良恶性
Front Oncol. 2022 Mar 4;12:847805. doi: 10.3389/fonc.2022.847805. eCollection 2022.
7
Multiparametric MRI-Based Radiomics Model for Predicting H3 K27M Mutant Status in Diffuse Midline Glioma: A Comparative Study Across Different Sequences and Machine Learning Techniques.基于多参数磁共振成像的放射组学模型预测弥漫性中线胶质瘤中H3 K27M突变状态:不同序列和机器学习技术的比较研究
Front Oncol. 2022 Mar 3;12:796583. doi: 10.3389/fonc.2022.796583. eCollection 2022.
8
Preoperative Evaluation of Gd-EOB-DTPA-Enhanced MRI Radiomics-Based Nomogram in Small Solitary Hepatocellular Carcinoma (≤3 cm) With Microvascular Invasion: A Two-Center Study.钆塞酸二钠增强 MRI 影像组学模型在前哨孤立性肝细胞癌(≤3cm)伴微血管侵犯患者术前评估中的应用:一项多中心研究。
J Magn Reson Imaging. 2022 Nov;56(5):1459-1472. doi: 10.1002/jmri.28157. Epub 2022 Mar 17.
9
A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.基于放射组学增强的深度学习模型,利用胸部 X 光图像对 COVID-19 和非 COVID-19 肺炎进行分类。
Med Phys. 2022 May;49(5):3213-3222. doi: 10.1002/mp.15582. Epub 2022 Mar 15.
10
Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis.基于对比增强超声图像的深度学习放射组学用于辅助诊断胰腺导管腺癌和慢性胰腺炎。
BMC Med. 2022 Mar 2;20(1):74. doi: 10.1186/s12916-022-02258-8.

放射组学及其在胰腺炎中的应用与进展:最新技术综述

Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review.

作者信息

Yan Gaowu, Yan Gaowen, Li Hongwei, Liang Hongwei, Peng Chen, Bhetuwal Anup, McClure Morgan A, Li Yongmei, Yang Guoqing, Li Yong, Zhao Linwei, Fan Xiaoping

机构信息

Department of Radiology, Suining Central Hospital, Suining, China.

Department of Radiology, The First Hospital of Suining, Suining, China.

出版信息

Front Med (Lausanne). 2022 Jun 23;9:922299. doi: 10.3389/fmed.2022.922299. eCollection 2022.

DOI:10.3389/fmed.2022.922299
PMID:35814756
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9259974/
Abstract

Radiomics involves high-throughput extraction and analysis of quantitative information from medical images. Since it was proposed in 2012, there are some publications on the application of radiomics for (1) predicting recurrent acute pancreatitis (RAP), clinical severity of acute pancreatitis (AP), and extrapancreatic necrosis in AP; (2) differentiating mass-forming chronic pancreatitis (MFCP) from pancreatic ductal adenocarcinoma (PDAC), focal autoimmune pancreatitis (AIP) from PDAC, and functional abdominal pain (functional gastrointestinal diseases) from RAP and chronic pancreatitis (CP); and (3) identifying CP and normal pancreas, and CP risk factors and complications. In this review, we aim to systematically summarize the applications and progress of radiomics in pancreatitis and it associated situations, so as to provide reference for related research.

摘要

放射组学涉及从医学图像中高通量提取和分析定量信息。自2012年提出以来,已有一些关于放射组学应用的出版物,内容包括:(1)预测复发性急性胰腺炎(RAP)、急性胰腺炎(AP)的临床严重程度以及AP中的胰腺外坏死;(2)区分肿块型慢性胰腺炎(MFCP)与胰腺导管腺癌(PDAC)、局灶性自身免疫性胰腺炎(AIP)与PDAC,以及功能性腹痛(功能性胃肠疾病)与RAP和慢性胰腺炎(CP);(3)识别CP与正常胰腺,以及CP的危险因素和并发症。在本综述中,我们旨在系统总结放射组学在胰腺炎及其相关情况中的应用和进展,以便为相关研究提供参考。