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Sökning: id:"swepub:oai:lup.lub.lu.se:3db07806-e95f-4796-a4a2-d81dce916291" > Quantifying H&E sta...

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

Sun, Wenbo (författare)
Zhongnan Hospital of Wuhan University
Xu, Dan (författare)
Li, Huan (författare)
Zhongnan Hospital of Wuhan University
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Li, Sirui (författare)
Zhongnan Hospital of Wuhan University
Bao, Qingjia (författare)
Song, Xiaopeng (författare)
Topgaard, Daniel (författare)
Lund University,Lunds universitet,Fysikalisk kemi,Enheten för fysikalisk och teoretisk kemi,Kemiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Physical Chemistry,Physical and theoretical chemistry,Department of Chemistry,Departments at LTH,Faculty of Engineering, LTH
Xu, Haibo (författare)
Zhongnan Hospital of Wuhan University
visa färre...
 (creator_code:org_t)
Engelska.
Ingår i: Magnetic Resonance Materials in Physics, Biology and Medicine. - 0968-5243.
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Nyckelord

Diffusion
Gliomas
Histologic
Hybrid multi-dimensional MRI
IDH

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