Suppr超能文献

T1WI 上像素级边缘方向紊乱与原发性和转移性脑肿瘤的放射坏死程度相关:初步研究结果。

Disorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary Findings.

机构信息

From the Department of Biomedical Engineering (P.P., A.M., P.T.), Case Western Reserve University, Cleveland, Ohio

University Hospitals Case Medical Center (L.R., M.C., A.S., L.W., A.G.), Case Western Reserve School of Medicine, Cleveland, Ohio.

出版信息

AJNR Am J Neuroradiol. 2019 Mar;40(3):412-417. doi: 10.3174/ajnr.A5958. Epub 2019 Feb 7.

Abstract

BACKGROUND AND PURPOSE

Co-occurrence of local anisotropic gradient orientations (COLLAGE) is a recently developed radiomic (computer extracted) feature that captures entropy (measures the degree of disorder) in pixel-level edge directions and was previously shown to distinguish predominant cerebral radiation necrosis from recurrent tumor on gadolinium-contrast T1WI. In this work, we sought to investigate whether COLLAGE measurements from posttreatment gadolinium-contrast T1WI could distinguish varying extents of cerebral radiation necrosis and recurrent tumor classes in a lesion across primary and metastatic brain tumors.

MATERIALS AND METHODS

On a total of 75 gadolinium-contrast T1WI studies obtained from patients with primary and metastatic brain tumors and nasopharyngeal carcinoma, the extent of cerebral radiation necrosis and recurrent tumor in every brain lesion was histopathologically defined by an expert neuropathologist as the following: 1) "pure" cerebral radiation necrosis; 2) "mixed" pathology with coexistence of cerebral radiation necrosis and recurrent tumors; 3) "predominant" (>80%) cerebral radiation necrosis; 4) predominant (>80%) recurrent tumor; and 5) pure tumor. COLLAGE features were extracted from the expert-annotated ROIs on MR imaging. Statistical comparisons of COLLAGE measurements using first-order statistics were performed across pure, mixed, and predominant pathologies of cerebral radiation necrosis and recurrent tumor using the Wilcoxon rank sum test.

RESULTS

COLLAGE features exhibited decreased skewness for patients with pure (0.15 ± 0.12) and predominant cerebral radiation necrosis (0.25 ± 0.09) and were statistically significantly different ( < .05) from those in patients with predominant recurrent tumors, which had highly skewed (0.42 ± 0.21) COLLAGE values. COLLAGE values for the mixed pathology studies were found to lie between predominant cerebral radiation necrosis and recurrent tumor categories.

CONCLUSIONS

With additional independent multisite validation, COLLAGE measurements might enable noninvasive characterization of the degree of recurrent tumor or cerebral radiation necrosis in gadolinium-contrast T1WI of posttreatment lesions.

摘要

背景与目的

局部各向异性梯度方向共存(COLLAGE)是一种新的放射组学(计算机提取)特征,可捕获像素级边缘方向的熵(衡量无序程度),并已被证明可区分钆对比 T1WI 上主要的脑放射性坏死与复发性肿瘤。在这项工作中,我们试图研究 COLLAGE 测量值是否可以区分原发性和转移性脑肿瘤的病变中不同程度的脑放射性坏死和复发性肿瘤。

材料与方法

总共对 75 例原发性和转移性脑肿瘤及鼻咽癌患者的钆对比 T1WI 进行了研究,由一位神经病理学家对每位患者的脑病变的脑放射性坏死和复发性肿瘤程度进行了组织病理学定义:1)“纯”脑放射性坏死;2)“混合”病理,共存脑放射性坏死和复发性肿瘤;3)“主要”(>80%)脑放射性坏死;4)主要(>80%)复发性肿瘤;5)纯肿瘤。COLLAGE 特征从磁共振成像上的专家注释 ROI 中提取出来。使用 Wilcoxon 秩和检验,对 COLLAGE 测量值的一阶统计数据进行比较,跨越纯、混合和主要脑放射性坏死和复发性肿瘤的病理类型。

结果

纯(0.15±0.12)和主要(0.25±0.09)脑放射性坏死患者的 COLLAGE 特征表现出降低的偏度,与主要复发性肿瘤患者的高度偏态(0.42±0.21)的 COLLAGE 值具有统计学意义(<0.05)。混合病理学研究的 COLLAGE 值介于主要脑放射性坏死和复发性肿瘤之间。

结论

通过额外的独立多中心验证,COLLAGE 测量值可能能够无创地对治疗后病变的钆对比 T1WI 中复发性肿瘤或脑放射性坏死的程度进行特征描述。

相似文献

引用本文的文献

6
Current Advances and Challenges in Radiomics of Brain Tumors.脑肿瘤影像组学的当前进展与挑战
Front Oncol. 2021 Oct 14;11:732196. doi: 10.3389/fonc.2021.732196. eCollection 2021.
7
Radiomics and radiogenomics in gliomas: a contemporary update.脑胶质瘤的影像组学和放射组学:当代进展。
Br J Cancer. 2021 Aug;125(5):641-657. doi: 10.1038/s41416-021-01387-w. Epub 2021 May 6.

本文引用的文献

7
Challenges with the diagnosis and treatment of cerebral radiation necrosis.脑放射性坏死的诊断和治疗挑战。
Int J Radiat Oncol Biol Phys. 2013 Nov 1;87(3):449-57. doi: 10.1016/j.ijrobp.2013.05.015. Epub 2013 Jun 19.

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