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本文引用的文献

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Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches.医学图像分割进展:传统、深度学习及混合方法综合综述
Bioengineering (Basel). 2024 Oct 16;11(10):1034. doi: 10.3390/bioengineering11101034.
2
Attention-enhanced multiscale feature fusion network for pancreas and tumor segmentation.用于胰腺和肿瘤分割的注意力增强多尺度特征融合网络。
Med Phys. 2024 Dec;51(12):8999-9016. doi: 10.1002/mp.17385. Epub 2024 Sep 22.
3
Non-invasive diagnosis of pancreatic steatosis with ultrasound images using deep learning network.使用深度学习网络通过超声图像对胰腺脂肪变性进行无创诊断。
Heliyon. 2024 Sep 6;10(17):e37580. doi: 10.1016/j.heliyon.2024.e37580. eCollection 2024 Sep 15.
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Optimized Spatial Transformer for Segmenting Pancreas Abnormalities.用于分割胰腺异常的优化空间变换器
J Imaging Inform Med. 2025 Apr;38(2):931-945. doi: 10.1007/s10278-024-01224-5. Epub 2024 Sep 4.
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A deep learning-powered diagnostic model for acute pancreatitis.基于深度学习的急性胰腺炎诊断模型。
BMC Med Imaging. 2024 Jun 20;24(1):154. doi: 10.1186/s12880-024-01339-9.
6
Deep causal learning for pancreatic cancer segmentation in CT sequences.深度因果学习在 CT 序列中的胰腺癌分割。
Neural Netw. 2024 Jul;175:106294. doi: 10.1016/j.neunet.2024.106294. Epub 2024 Apr 9.
7
An improvement method for pancreas CT segmentation using superpixel-based active contour.基于超像素的主动轮廓的胰腺 CT 分割改进方法。
Phys Med Biol. 2024 May 10;69(10). doi: 10.1088/1361-6560/ad3e5c.
8
Autoimmune pancreatitis: Cornerstones and future perspectives.自身免疫性胰腺炎:基石和未来展望。
World J Gastroenterol. 2024 Feb 28;30(8):817-832. doi: 10.3748/wjg.v30.i8.817.
9
nnU-Net-Based Pancreas Segmentation and Volume Measurement on CT Imaging in Patients with Pancreatic Cancer.基于 nnU-Net 的胰腺癌 CT 图像胰腺分割与体积测量。
Acad Radiol. 2024 Jul;31(7):2784-2794. doi: 10.1016/j.acra.2024.01.004. Epub 2024 Feb 12.
10
Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuracies.基于深度神经网络的腹部 CT 正常胰腺和异常胰腺的分割:全局和局部精度评估。
Abdom Radiol (NY). 2024 Feb;49(2):501-511. doi: 10.1007/s00261-023-04122-6. Epub 2023 Dec 15.

自身免疫性胰腺炎中胰腺形态学改变与糖尿病之间的关系:多模态医学成像评估具有重要潜力。

Relationship between pancreatic morphological changes and diabetes in autoimmune pancreatitis: Multimodal medical imaging assessment has important potential.

作者信息

Zhang Qing-Biao, Liu Dan, Feng Jun-Bang, Du Chun-Qi, Li Chuan-Ming

机构信息

Department of Medical Imaging, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, China.

Department of Cardiology, Chongqing Traditional Chinese Medicine Hospital, Chongqing 400000, China.

出版信息

World J Radiol. 2024 Nov 28;16(11):703-707. doi: 10.4329/wjr.v16.i11.703.

DOI:10.4329/wjr.v16.i11.703
PMID:39635312
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11612807/
Abstract

Autoimmune pancreatitis (AIP) is a special type of chronic pancreatitis with clinical symptoms of obstructive jaundice and abdominal discomfort; this condition is caused by autoimmunity and marked by pancreatic fibrosis and dysfunction. Previous studies have revealed a close relationship between early pancreatic atrophy and the incidence rate of diabetes in type 1 AIP patients receiving steroid treatment. Shimada performed a long-term follow-up study and reported that the pancreatic volume (PV) of these patients initially exponentially decreased but then slowly decreased, which was considered to be an important factor related to diabetes; moreover, serum IgG4 levels were positively correlated with PV during follow-up. In this letter, regarding the original study presented by Shimada , we present our insights and discuss how multimodal medical imaging and artificial intelligence can be used to better assess the relationship between pancreatic morphological changes and diabetes in patients with AIP.

摘要

自身免疫性胰腺炎(AIP)是一种特殊类型的慢性胰腺炎,具有梗阻性黄疸和腹部不适的临床症状;这种疾病由自身免疫引起,以胰腺纤维化和功能障碍为特征。先前的研究表明,早期胰腺萎缩与接受类固醇治疗的1型AIP患者的糖尿病发病率之间存在密切关系。岛田进行了一项长期随访研究,并报告称这些患者的胰腺体积(PV)最初呈指数下降,但随后缓慢下降,这被认为是与糖尿病相关的一个重要因素;此外,随访期间血清IgG4水平与PV呈正相关。在这封信中,关于岛田提出的原始研究,我们提出我们的见解,并讨论如何使用多模态医学成像和人工智能来更好地评估AIP患者胰腺形态变化与糖尿病之间的关系。