Bi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysis
Abstract This study investigated the use of bi-exponential diffusion-weighted imaging (DWI) combined with structural features to differentiate high-grade glioma (HGG) from solitary brain metastasis (SBM). A total of 57 patients (31 HGG, 26 SBM) who underwent pre-surgical multi-b DWI and structural M...
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2024-12-01
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author | Yifei Su Junhao Wang Jinxia Guo Xuanchen Liu Xiaoxiong Yang Rui Cheng Chunhong Wang Cheng Xu Yexin He Hongming Ji |
author_facet | Yifei Su Junhao Wang Jinxia Guo Xuanchen Liu Xiaoxiong Yang Rui Cheng Chunhong Wang Cheng Xu Yexin He Hongming Ji |
author_sort | Yifei Su |
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description | Abstract This study investigated the use of bi-exponential diffusion-weighted imaging (DWI) combined with structural features to differentiate high-grade glioma (HGG) from solitary brain metastasis (SBM). A total of 57 patients (31 HGG, 26 SBM) who underwent pre-surgical multi-b DWI and structural MRI (T1W, T2W, T1W + C) were included. Volumes of interest (VOI) in the peritumoral edema area (PTEA) and enhanced tumor area (ETA) were selected for analysis. Histogram features of slow diffusion coefficient (Dslow), fast diffusion coefficient (Dfast), and perfusion fraction (frac) were extracted. Results showed that HGG patients had higher skewness of Dfast (P = 0.022) and frac (P = 0.077), higher kurtosis of Dslow (P = 0.019) and frac (P = 0.025), and lower entropy of Dslow (P = 0.005) and frac (P = 0.001) within the ETA. Additionally, HGG exhibited lower mean frac in both ETA (P = 0.007) and PTEA (P = 0.017). Combining skewness of frac in ETA with clear tumor margin enhanced diagnostic performance, achieving an optimal AUC of 0.79. These findings suggest that histogram analysis of diffusion and perfusion characteristics in ETA and structural features can effectively differentiate HGG from SBM. |
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institution | Kabale University |
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language | English |
publishDate | 2024-12-01 |
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spelling | doaj-art-cc83d22644054afdbb73b8cfff7e73d62025-01-05T12:29:49ZengNature PortfolioScientific Reports2045-23222024-12-0114111310.1038/s41598-024-83452-xBi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysisYifei Su0Junhao Wang1Jinxia Guo2Xuanchen Liu3Xiaoxiong Yang4Rui Cheng5Chunhong Wang6Cheng Xu7Yexin He8Hongming Ji9The Neurosurgery Department of Shanxi Provincial People’s Hospital, Shanxi Medical UniversityThe Neurosurgery Department of Shanxi Provincial People’s Hospital, Shanxi Medical UniversityGE HealthcareThe Neurosurgery Department of Shanxi Provincial People’s Hospital, Shanxi Medical UniversityThe Neurosurgery Department of Shanxi Provincial People’s Hospital, Shanxi Medical UniversityThe Neurosurgery Department of Shanxi Provincial People’s Hospital, Shanxi Medical UniversityThe Neurosurgery Department of Shanxi Provincial People’s Hospital, Shanxi Medical UniversityThe Radiology Department of Shanxi Provincial People’s HospitalThe Radiology Department of Shanxi Provincial People’s HospitalThe Neurosurgery Department of Shanxi Provincial People’s Hospital, Shanxi Medical UniversityAbstract This study investigated the use of bi-exponential diffusion-weighted imaging (DWI) combined with structural features to differentiate high-grade glioma (HGG) from solitary brain metastasis (SBM). A total of 57 patients (31 HGG, 26 SBM) who underwent pre-surgical multi-b DWI and structural MRI (T1W, T2W, T1W + C) were included. Volumes of interest (VOI) in the peritumoral edema area (PTEA) and enhanced tumor area (ETA) were selected for analysis. Histogram features of slow diffusion coefficient (Dslow), fast diffusion coefficient (Dfast), and perfusion fraction (frac) were extracted. Results showed that HGG patients had higher skewness of Dfast (P = 0.022) and frac (P = 0.077), higher kurtosis of Dslow (P = 0.019) and frac (P = 0.025), and lower entropy of Dslow (P = 0.005) and frac (P = 0.001) within the ETA. Additionally, HGG exhibited lower mean frac in both ETA (P = 0.007) and PTEA (P = 0.017). Combining skewness of frac in ETA with clear tumor margin enhanced diagnostic performance, achieving an optimal AUC of 0.79. These findings suggest that histogram analysis of diffusion and perfusion characteristics in ETA and structural features can effectively differentiate HGG from SBM.https://doi.org/10.1038/s41598-024-83452-xDiffusionPerfusionDiffusion-weighted imagingHigh-grade gliomaSolitary brain metastasis |
spellingShingle | Yifei Su Junhao Wang Jinxia Guo Xuanchen Liu Xiaoxiong Yang Rui Cheng Chunhong Wang Cheng Xu Yexin He Hongming Ji Bi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysis Scientific Reports Diffusion Perfusion Diffusion-weighted imaging High-grade glioma Solitary brain metastasis |
title | Bi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysis |
title_full | Bi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysis |
title_fullStr | Bi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysis |
title_full_unstemmed | Bi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysis |
title_short | Bi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysis |
title_sort | bi exponential diffusion weighted imaging for differentiating high grade gliomas from solitary brain metastases a voi based histogram analysis |
topic | Diffusion Perfusion Diffusion-weighted imaging High-grade glioma Solitary brain metastasis |
url | https://doi.org/10.1038/s41598-024-83452-x |
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