Quantifying H&E staining results, grading and predicting IDH mutation status of gliomas using hybrid multi-dimensional MRI

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2024-04-05 DOI:10.1007/s10334-024-01154-x
Wenbo Sun, Dan Xu, Huan Li, Sirui Li, Qingjia Bao, Xiaopeng Song, Daniel Topgaard, Haibo Xu
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Abstract

Objective

To assess the performance of hybrid multi-dimensional magnetic resonance imaging (HM-MRI) in quantifying hematoxylin and eosin (H&E) staining results, grading and predicting isocitrate dehydrogenase (IDH) mutation status of gliomas.

Materials and methods

Included were 71 glioma patients (mean age, 50.17 ± 13.38 years; 35 men). HM-MRI images were collected at five different echo times (80–200 ms) with seven b-values (0–3000 s/mm2). A modified three-compartment model with very-slow, slow and fast diffusion components was applied to calculate HM-MRI metrics, including fractions, diffusion coefficients and T2 values of each component. Pearson correlation analysis was performed between HM-MRI derived fractions and H&E staining derived percentages. HM-MRI metrics were compared between high-grade and low-grade gliomas, and between IDH-wild and IDH-mutant gliomas. Using receiver operational characteristic (ROC) analysis, the diagnostic performance of HM-MRI in grading and genotyping was compared with mono-exponential models.

Results

HM-MRI metrics FDvery-slow and FDslow demonstrated a significant correlation with the H&E staining results (p < .05). Besides, FDvery-slow showed the highest area under ROC curve (AUC = 0.854) for grading, while Dslow showed the highest AUC (0.845) for genotyping. Furthermore, a combination of HM-MRI metrics FDvery-slow and T2Dslow improved the diagnostic performance for grading (AUC = 0.876).

Discussion

HM-MRI can aid in non-invasive diagnosis of gliomas.

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利用混合多维磁共振成像量化胶质瘤的 H&E 染色结果、分级并预测 IDH 突变状态
目的评估混合多维磁共振成像(HM-MRI)在量化苏木精和伊红(H&E)染色结果、分级和预测胶质瘤的异柠檬酸脱氢酶(IDH)突变状态方面的性能。在五个不同的回波时间(80-200 毫秒)和七个 b 值(0-3000 s/mm2)下采集 HM-MRI 图像。在计算 HM-MRI 指标时,采用了一个包含极慢、慢和快扩散成分的改良三室模型,包括每个成分的分数、扩散系数和 T2 值。在 HM-MRI 得出的分数和 H&E 染色得出的百分比之间进行了皮尔逊相关分析。HM-MRI指标在高级别胶质瘤和低级别胶质瘤之间以及IDH野生型胶质瘤和IDH突变型胶质瘤之间进行了比较。结果HM-MRI指标FDvery-slow和FDslow与H&E染色结果有显著相关性(p <.05)。此外,FDvery-slow 在分级方面显示出最高的 ROC 曲线下面积(AUC = 0.854),而 Dslow 在基因分型方面显示出最高的 AUC(0.845)。讨论HM-MRI有助于胶质瘤的无创诊断。
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来源期刊
CiteScore
4.60
自引率
0.00%
发文量
58
审稿时长
>12 weeks
期刊介绍: MAGMA is a multidisciplinary international journal devoted to the publication of articles on all aspects of magnetic resonance techniques and their applications in medicine and biology. MAGMA currently publishes research papers, reviews, letters to the editor, and commentaries, six times a year. The subject areas covered by MAGMA include: advances in materials, hardware and software in magnetic resonance technology, new developments and results in research and practical applications of magnetic resonance imaging and spectroscopy related to biology and medicine, study of animal models and intact cells using magnetic resonance, reports of clinical trials on humans and clinical validation of magnetic resonance protocols.
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