Quantifying H&E staining results, grading and predicting IDH mutation status of gliomas using hybrid multi-dimensional MRI
(2024) In Magnetic Resonance Materials in Physics, Biology and Medicine- 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... (More)
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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- author
- Sun, Wenbo LU ; Xu, Dan ; Li, Huan LU ; Li, Sirui LU ; Bao, Qingjia ; Song, Xiaopeng ; Topgaard, Daniel LU and Xu, Haibo LU
- organization
- publishing date
- 2024
- type
- Contribution to journal
- publication status
- epub
- subject
- keywords
- Diffusion, Gliomas, Histologic, Hybrid multi-dimensional MRI, IDH
- in
- Magnetic Resonance Materials in Physics, Biology and Medicine
- publisher
- Springer
- external identifiers
-
- scopus:85189480181
- pmid:38578520
- ISSN
- 0968-5243
- DOI
- 10.1007/s10334-024-01154-x
- language
- English
- LU publication?
- yes
- id
- 3db07806-e95f-4796-a4a2-d81dce916291
- date added to LUP
- 2024-04-22 12:09:38
- date last changed
- 2024-04-24 14:56:51
@article{3db07806-e95f-4796-a4a2-d81dce916291,
abstract = {{<p>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/mm<sup>2</sup>). 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 F<sub>Dvery-slow</sub> and F<sub>Dslow</sub> demonstrated a significant correlation with the H&E staining results (p <.05). Besides, F<sub>Dvery-slow</sub> 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 F<sub>Dvery-slow</sub> and T2<sub>Dslow</sub> improved the diagnostic performance for grading (AUC = 0.876). Discussion: HM-MRI can aid in non-invasive diagnosis of gliomas.</p>}},
author = {{Sun, Wenbo and Xu, Dan and Li, Huan and Li, Sirui and Bao, Qingjia and Song, Xiaopeng and Topgaard, Daniel and Xu, Haibo}},
issn = {{0968-5243}},
keywords = {{Diffusion; Gliomas; Histologic; Hybrid multi-dimensional MRI; IDH}},
language = {{eng}},
publisher = {{Springer}},
series = {{Magnetic Resonance Materials in Physics, Biology and Medicine}},
title = {{Quantifying H&E staining results, grading and predicting IDH mutation status of gliomas using hybrid multi-dimensional MRI}},
url = {{http://dx.doi.org/10.1007/s10334-024-01154-x}},
doi = {{10.1007/s10334-024-01154-x}},
year = {{2024}},
}