18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma

The differential diagnosis of primary central nervous system lymphoma from glioblastoma multiforme (GBM) is essential due to the difference in treatment strategies. This study retrospectively reviewed 77 patients (24 with lymphoma and 53 with GBM) to identify the stable and distinguishable character...

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Main Authors: Ziren Kong, Chendan Jiang, Ruizhe Zhu, Shi Feng, Yaning Wang, Jiatong Li, Wenlin Chen, Penghao Liu, Dachun Zhao, Wenbin Ma, Yu Wang, Xin Cheng
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158219302621
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record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Ziren Kong
Chendan Jiang
Ruizhe Zhu
Shi Feng
Yaning Wang
Jiatong Li
Wenlin Chen
Penghao Liu
Dachun Zhao
Wenbin Ma
Yu Wang
Xin Cheng
spellingShingle Ziren Kong
Chendan Jiang
Ruizhe Zhu
Shi Feng
Yaning Wang
Jiatong Li
Wenlin Chen
Penghao Liu
Dachun Zhao
Wenbin Ma
Yu Wang
Xin Cheng
18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
NeuroImage: Clinical
author_facet Ziren Kong
Chendan Jiang
Ruizhe Zhu
Shi Feng
Yaning Wang
Jiatong Li
Wenlin Chen
Penghao Liu
Dachun Zhao
Wenbin Ma
Yu Wang
Xin Cheng
author_sort Ziren Kong
title 18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
title_short 18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
title_full 18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
title_fullStr 18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
title_full_unstemmed 18F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
title_sort 18f-fdg-pet-based radiomics features to distinguish primary central nervous system lymphoma from glioblastoma
publisher Elsevier
series NeuroImage: Clinical
issn 2213-1582
publishDate 2019-01-01
description The differential diagnosis of primary central nervous system lymphoma from glioblastoma multiforme (GBM) is essential due to the difference in treatment strategies. This study retrospectively reviewed 77 patients (24 with lymphoma and 53 with GBM) to identify the stable and distinguishable characteristics of lymphoma and GBM in 18F-fluorodeocxyglucose (FDG) positron emission tomography (PET) images using a radiomics approach. Three groups of maps, namely, a standardized uptake value (SUV) map, an SUV map calibrated with the normal contralateral cortex (ncc) activity (SUV/ncc map), and an SUV map calibrated with the normal brain mean (nbm) activity (SUV/nbm map), were generated, and a total of 107 radiomics features were extracted from each SUV map. The margins of the ROI were adjusted to assess the stability of the features, and the area under the curve (AUC) of the receiver operating characteristic curve of each feature was compared with the SUVmax to evaluate the distinguishability of the features. Nighty-five radiomics features from the SUV map were significantly different between lymphoma and GBM, 46 features were numeric stable after marginal adjustment, and 31 features displayed better performance than SUVmax. Features extracted from the SUV map demonstrated higher AUCs than features from the further calibrated maps. Tumors with solid metabolic patterns were also separately evaluated and revealed similar results. Thirteen radiomics features that were stable and distinguishable than SUVmax in every circumstance were selected to distinguish lymphoma from glioblastoma, and they suggested that lymphoma has a higher SUV in most interval segments and is more mathematically heterogeneous than GBM. This study suggested that 18F-FDG-PET-based radiomics is a reliable noninvasive method to distinguish lymphoma and GBM. Keywords: 18F-FDG, Positron emission tomography, Glioblastoma, Lymphoma, Radiomics
url http://www.sciencedirect.com/science/article/pii/S2213158219302621
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spelling doaj-e56bf7a0ea4742a28ee33ca9e559927a2020-11-25T02:00:26ZengElsevierNeuroImage: Clinical2213-15822019-01-012318F-FDG-PET-based radiomics features to distinguish primary central nervous system lymphoma from glioblastomaZiren Kong0Chendan Jiang1Ruizhe Zhu2Shi Feng3Yaning Wang4Jiatong Li5Wenlin Chen6Penghao Liu7Dachun Zhao8Wenbin Ma9Yu Wang10Xin Cheng11Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, China; School of Medicine, Tsinghua University, Haidian District, Beijing, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, ChinaDepartment of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, China; Corresponding authors.The differential diagnosis of primary central nervous system lymphoma from glioblastoma multiforme (GBM) is essential due to the difference in treatment strategies. This study retrospectively reviewed 77 patients (24 with lymphoma and 53 with GBM) to identify the stable and distinguishable characteristics of lymphoma and GBM in 18F-fluorodeocxyglucose (FDG) positron emission tomography (PET) images using a radiomics approach. Three groups of maps, namely, a standardized uptake value (SUV) map, an SUV map calibrated with the normal contralateral cortex (ncc) activity (SUV/ncc map), and an SUV map calibrated with the normal brain mean (nbm) activity (SUV/nbm map), were generated, and a total of 107 radiomics features were extracted from each SUV map. The margins of the ROI were adjusted to assess the stability of the features, and the area under the curve (AUC) of the receiver operating characteristic curve of each feature was compared with the SUVmax to evaluate the distinguishability of the features. Nighty-five radiomics features from the SUV map were significantly different between lymphoma and GBM, 46 features were numeric stable after marginal adjustment, and 31 features displayed better performance than SUVmax. Features extracted from the SUV map demonstrated higher AUCs than features from the further calibrated maps. Tumors with solid metabolic patterns were also separately evaluated and revealed similar results. Thirteen radiomics features that were stable and distinguishable than SUVmax in every circumstance were selected to distinguish lymphoma from glioblastoma, and they suggested that lymphoma has a higher SUV in most interval segments and is more mathematically heterogeneous than GBM. This study suggested that 18F-FDG-PET-based radiomics is a reliable noninvasive method to distinguish lymphoma and GBM. Keywords: 18F-FDG, Positron emission tomography, Glioblastoma, Lymphoma, Radiomicshttp://www.sciencedirect.com/science/article/pii/S2213158219302621