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脑胶质母细胞瘤肿瘤界面的多重分形分析。

Multifractal Analysis of Brain Tumor Interface in Glioblastoma.

机构信息

Faculty of Science and Technology, Physics Department, Universidad Nacional Pedro Henríquez Ureña, Santo Domingo, Dominican Republic.

Centre for Medical Visualization, National Institute for Bioengineering, INABIO, Universidad Central de Venezuela and Centro de Diagnóstico Docente Las Mercedes, Caracas, Venezuela.

出版信息

Adv Neurobiol. 2024;36:487-499. doi: 10.1007/978-3-031-47606-8_25.

DOI:10.1007/978-3-031-47606-8_25
PMID:38468049
Abstract

The dynamics of tumor growth is a very complex process, generally accompanied by numerous chromosomal aberrations that determine its genetic and dynamical heterogeneity. Consequently, the tumor interface exhibits a non-regular and heterogeneous behavior often described by a single fractal dimension. A more suitable approach is to consider the tumor interface as a multifractal object that can be described by a set of generalized fractal dimensions. In the present work, detrended fluctuation and multifractal analysis are used to characterize the complexity of glioblastoma.

摘要

肿瘤生长的动力学是一个非常复杂的过程,通常伴随着许多决定其遗传和动力学异质性的染色体畸变。因此,肿瘤界面表现出非规则和不均匀的行为,通常用单个分形维数来描述。一种更合适的方法是将肿瘤界面视为一个多重分形物体,可以用一组广义分形维数来描述。在本工作中,去趋势波动和多重分形分析用于表征胶质母细胞瘤的复杂性。

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Multifractal Analysis of Brain Tumor Interface in Glioblastoma.脑胶质母细胞瘤肿瘤界面的多重分形分析。
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引用本文的文献

1
Computational Fractal-Based Neurosurgery.基于计算分形学的神经外科学。
Adv Exp Med Biol. 2024;1462:97-105. doi: 10.1007/978-3-031-64892-2_6.

本文引用的文献

1
Morphological and Fractal Properties of Brain Tumors.脑肿瘤的形态学和分形特性
Front Physiol. 2022 Jun 27;13:878391. doi: 10.3389/fphys.2022.878391. eCollection 2022.
2
Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion.利用特征与标签融合进行磁共振成像中脑肿瘤的纵向分割预测
Biomed Signal Process Control. 2020 Jan;55. doi: 10.1016/j.bspc.2019.101648. Epub 2019 Sep 3.
3
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.利用专家分割标签和放射组学特征推进癌症基因组图谱胶质细胞瘤 MRI 数据集。
Sci Data. 2017 Sep 5;4:170117. doi: 10.1038/sdata.2017.117.
4
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).多模态脑肿瘤图像分割基准(BRATS)。
IEEE Trans Med Imaging. 2015 Oct;34(10):1993-2024. doi: 10.1109/TMI.2014.2377694. Epub 2014 Dec 4.
5
Multifractal texture estimation for detection and segmentation of brain tumors.多分辨纹理估计在脑肿瘤检测和分割中的应用。
IEEE Trans Biomed Eng. 2013 Nov;60(11):3204-15. doi: 10.1109/TBME.2013.2271383. Epub 2013 Jun 27.
6
Three-dimensional susceptibility-weighted imaging at 7 T using fractal-based quantitative analysis to grade gliomas.采用基于分形的定量分析的 7T 三维磁化率加权成像对脑胶质瘤分级。
Neuroradiology. 2013 Jan;55(1):35-40. doi: 10.1007/s00234-012-1081-1. Epub 2012 Aug 18.
7
Computer-assisted and fractal-based morphometric assessment of microvascularity in histological specimens of gliomas.基于计算机辅助和分形的脑胶质瘤组织学标本微血管密度的形态计量学评估。
Sci Rep. 2012;2:429. doi: 10.1038/srep00429. Epub 2012 May 29.
8
Angioarchitectural heterogeneity in human glioblastoma multiforme: a fractal-based histopathological assessment.人类多形性胶质母细胞瘤中的血管构筑异质性:基于分形的组织病理学评估。
Microvasc Res. 2011 Mar;81(2):222-30. doi: 10.1016/j.mvr.2010.12.006. Epub 2010 Dec 28.
9
MGMT promoter methylation in malignant gliomas: ready for personalized medicine?恶性神经胶质瘤中 MGMT 启动子甲基化:是否已准备好用于个性化医疗?
Nat Rev Neurol. 2010 Jan;6(1):39-51. doi: 10.1038/nrneurol.2009.197. Epub 2009 Dec 8.
10
Fractal and multifractal analysis: a review.分形与多重分形分析:综述
Med Image Anal. 2009 Aug;13(4):634-49. doi: 10.1016/j.media.2009.05.003. Epub 2009 May 27.