• 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

常染色体显性多囊肾病患者多参数磁共振成像的影像组学分析可靠性

Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease.

作者信息

Lussana Francesca, Lanzarone Ettore, Villa Giulia, Mastropietro Alfonso, Caroli Anna, Scalco Elisa

机构信息

Department of Management, Information and Production Engineering, University of Bergamo, 24044, Dalmine, BG, Italy.

Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 24020, Ranica, BG, Italy.

出版信息

Sci Rep. 2025 May 13;15(1):16526. doi: 10.1038/s41598-025-99982-x.

DOI:10.1038/s41598-025-99982-x
PMID:40360663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12075844/
Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is a prevalent hereditary disorder characterized by the development and growth of fluid-filled cysts, resulting in a decline in kidney function. Beyond total kidney and cyst volume quantification, non-cystic tissue characterization by multi-parametric MRI (mp-MRI) and radiomics holds promise. We conducted a radiomic analysis based on reproducible and informative features extracted from non-cystic tissue on mp-MRI in ADPKD patients. T2-weighted (T2-w), T1-weighted MRI (T1-w), and IntraVoxel Incoherent Motion (IVIM) maps from Diffusion Weighted Imaging (DWI) were considered. The reliability of radiomic features was evaluated using five different segmentation methods. The impact of segmentation variability on radiomic reproducibility was assessed through Intraclass Correlation Coefficients (ICC), and a preliminary correlation analysis with relevant clinical parameters, such as age and eGFR, was also performed. The results from 14 patients indicate that radiomic features derived from IVIM maps exhibit greater reliability compared to features from T1-w and T2-w for characterizing non-cystic tissue in ADPKD patients, also showing a moderate correlation with age and eGFR. Additionally, lower-order features, including those computed from histograms and co-occurrence matrices, demonstrate higher reproducibility than other texture features.

摘要

常染色体显性多囊肾病(ADPKD)是一种常见的遗传性疾病,其特征是充满液体的囊肿的形成和生长,导致肾功能下降。除了对整个肾脏和囊肿体积进行量化外,通过多参数磁共振成像(mp-MRI)和影像组学对非囊肿组织进行特征描述也具有前景。我们基于从ADPKD患者mp-MRI的非囊肿组织中提取的可重复且信息丰富的特征进行了影像组学分析。考虑了来自扩散加权成像(DWI)的T2加权(T2-w)、T1加权磁共振成像(T1-w)和体素内不相干运动(IVIM)图。使用五种不同的分割方法评估影像组学特征的可靠性。通过组内相关系数(ICC)评估分割变异性对影像组学可重复性的影响,并对年龄和估算肾小球滤过率(eGFR)等相关临床参数进行了初步相关性分析。14名患者的结果表明,与T1-w和T2-w的特征相比,从IVIM图得出的影像组学特征在表征ADPKD患者的非囊肿组织方面表现出更高的可靠性,并且与年龄和eGFR也存在中度相关性。此外,包括从直方图和共生矩阵计算得出的低阶特征,比其他纹理特征具有更高的可重复性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/7ccf4ce9e22d/41598_2025_99982_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/7201d8e926ab/41598_2025_99982_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/9c4441561c4a/41598_2025_99982_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/d236012f46aa/41598_2025_99982_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/be3d44ba6877/41598_2025_99982_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/7ccf4ce9e22d/41598_2025_99982_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/7201d8e926ab/41598_2025_99982_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/9c4441561c4a/41598_2025_99982_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/d236012f46aa/41598_2025_99982_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/be3d44ba6877/41598_2025_99982_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15a1/12075844/7ccf4ce9e22d/41598_2025_99982_Fig5_HTML.jpg

相似文献

1
Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease.常染色体显性多囊肾病患者多参数磁共振成像的影像组学分析可靠性
Sci Rep. 2025 May 13;15(1):16526. doi: 10.1038/s41598-025-99982-x.
2
Diffusion magnetic resonance imaging for kidney cyst volume quantification and non-cystic tissue characterisation in ADPKD.磁共振弥散加权成像在多囊肾病中肾囊肿体积定量和非囊组织特征分析中的应用。
Eur Radiol. 2023 Sep;33(9):6009-6019. doi: 10.1007/s00330-023-09601-4. Epub 2023 Apr 5.
3
Physics-Informed Discretization for Reproducible and Robust Radiomic Feature Extraction Using Quantitative MRI.基于物理信息的离散化方法,用于使用定量 MRI 进行可重复且稳健的放射组学特征提取。
Invest Radiol. 2024 May 1;59(5):359-371. doi: 10.1097/RLI.0000000000001026. Epub 2023 Oct 9.
4
Image texture features predict renal function decline in patients with autosomal dominant polycystic kidney disease.图像纹理特征可预测常染色体显性多囊肾病患者的肾功能下降。
Kidney Int. 2017 Nov;92(5):1206-1216. doi: 10.1016/j.kint.2017.03.026. Epub 2017 May 20.
5
T1 vs. T2 weighted magnetic resonance imaging to assess total kidney volume in patients with autosomal dominant polycystic kidney disease.基于 T1 加权和 T2 加权磁共振成像评估常染色体显性多囊肾病患者的总肾体积。
Abdom Radiol (NY). 2018 May;43(5):1215-1222. doi: 10.1007/s00261-017-1285-2.
6
The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo images.体素内不相干运动 MRI 图的定量不能保留纹理信息:基于模拟和体内图像的评估。
Comput Biol Med. 2023 Mar;154:106495. doi: 10.1016/j.compbiomed.2022.106495. Epub 2023 Jan 16.
7
Magnetic resonance imaging preprocessing and radiomic features for classification of autosomal dominant polycystic kidney disease genotype.用于常染色体显性多囊肾病基因型分类的磁共振成像预处理及影像组学特征
J Med Imaging (Bellingham). 2023 Nov;10(6):064503. doi: 10.1117/1.JMI.10.6.064503. Epub 2023 Dec 27.
8
Early prediction of progression-free survival of patients with locally advanced nasopharyngeal carcinoma using multi-parametric MRI radiomics.使用多参数MRI影像组学对局部晚期鼻咽癌患者无进展生存期进行早期预测
BMC Cancer. 2025 Mar 21;25(1):519. doi: 10.1186/s12885-025-13899-2.
9
Effect of Averaging Measurements From Multiple MRI Pulse Sequences on Kidney Volume Reproducibility in Autosomal Dominant Polycystic Kidney Disease.多 MRI 脉冲序列测量值平均处理对常染色体显性多囊肾病肾脏体积再现性的影响。
J Magn Reson Imaging. 2023 Oct;58(4):1153-1160. doi: 10.1002/jmri.28593. Epub 2023 Jan 16.
10
Deep learning-based segmentation of kidneys and renal cysts on T2-weighted MRI from patients with autosomal dominant polycystic kidney disease.基于深度学习的常染色体显性多囊肾病患者 T2 加权 MRI 上肾脏和肾囊肿的分割。
Eur Radiol Exp. 2024 Oct 30;8(1):122. doi: 10.1186/s41747-024-00520-7.

本文引用的文献

1
A Primer for Utilizing Deep Learning and Abdominal MRI Imaging Features to Monitor Autosomal Dominant Polycystic Kidney Disease Progression.利用深度学习和腹部MRI成像特征监测常染色体显性多囊肾病进展的入门指南。
Biomedicines. 2024 May 20;12(5):1133. doi: 10.3390/biomedicines12051133.
2
Magnetic resonance imaging preprocessing and radiomic features for classification of autosomal dominant polycystic kidney disease genotype.用于常染色体显性多囊肾病基因型分类的磁共振成像预处理及影像组学特征
J Med Imaging (Bellingham). 2023 Nov;10(6):064503. doi: 10.1117/1.JMI.10.6.064503. Epub 2023 Dec 27.
3
Abdominal Imaging in ADPKD: Beyond Total Kidney Volume.
常染色体显性多囊肾病的腹部影像学检查:超越总肾体积
J Clin Med. 2023 Aug 5;12(15):5133. doi: 10.3390/jcm12155133.
4
Diffusion magnetic resonance imaging for kidney cyst volume quantification and non-cystic tissue characterisation in ADPKD.磁共振弥散加权成像在多囊肾病中肾囊肿体积定量和非囊组织特征分析中的应用。
Eur Radiol. 2023 Sep;33(9):6009-6019. doi: 10.1007/s00330-023-09601-4. Epub 2023 Apr 5.
5
The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo images.体素内不相干运动 MRI 图的定量不能保留纹理信息:基于模拟和体内图像的评估。
Comput Biol Med. 2023 Mar;154:106495. doi: 10.1016/j.compbiomed.2022.106495. Epub 2023 Jan 16.
6
Repeatability, Reproducibility and Sources of Variability in the Assessment of Backscatter Coefficient and Texture Parameters from High-Frequency Ultrasound Acquisitions in Human Median Nerve.人体正中神经高频超声背向散射系数和纹理参数评估的可重复性、再现性和变异性来源。
Ultrasound Med Biol. 2023 Jan;49(1):122-135. doi: 10.1016/j.ultrasmedbio.2022.08.007. Epub 2022 Oct 22.
7
Automatic cyst and kidney segmentation in autosomal dominant polycystic kidney disease: Comparison of U-Net based methods.自动肾囊肿和多囊肾病的肾部分:基于 U-Net 方法的比较。
Comput Biol Med. 2022 Jul;146:105431. doi: 10.1016/j.compbiomed.2022.105431. Epub 2022 Apr 9.
8
The predictive value of renal parenchymal information for renal function impairment in patients with ADPKD: a multicenter prospective study.多囊肾病患者肾实质信息对肾功能损害的预测价值:一项多中心前瞻性研究。
Abdom Radiol (NY). 2022 Aug;47(8):2845-2857. doi: 10.1007/s00261-022-03554-w. Epub 2022 May 28.
9
A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR images.一种基于监督的深度神经网络方法,使用标准化目标,可从多 SNR 图像中提高 IVIM 参数估计的准确性。
NMR Biomed. 2022 Oct;35(10):e4774. doi: 10.1002/nbm.4774. Epub 2022 Jun 6.
10
Radiomics-Based Image Phenotyping of Kidney Apparent Diffusion Coefficient Maps: Preliminary Feasibility & Efficacy.基于影像组学的肾脏表观扩散系数图图像表型分析:初步可行性与效能
J Clin Med. 2022 Apr 1;11(7):1972. doi: 10.3390/jcm11071972.