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Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling
OBJECTIVES: To evaluate the multiparametric diagnostic performance with non-enhancing tumor volume, apparent diffusion coefficient (ADC), and arterial spin labeling (ASL) to differentiate between atypical primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM). METHODS: One hundred an...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326108/ https://www.ncbi.nlm.nih.gov/pubmed/37171492 http://dx.doi.org/10.1007/s00330-023-09681-2 |
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author | Yu, Xiaojun Hong, Weiping Ye, Minting Lai, Mingyao Shi, Changzheng Li, Linzhen Ye, Kunlin Xu, Jiali Ai, Ruyu Shan, Changguo Cai, Linbo Luo, Liangping |
author_facet | Yu, Xiaojun Hong, Weiping Ye, Minting Lai, Mingyao Shi, Changzheng Li, Linzhen Ye, Kunlin Xu, Jiali Ai, Ruyu Shan, Changguo Cai, Linbo Luo, Liangping |
author_sort | Yu, Xiaojun |
collection | PubMed |
description | OBJECTIVES: To evaluate the multiparametric diagnostic performance with non-enhancing tumor volume, apparent diffusion coefficient (ADC), and arterial spin labeling (ASL) to differentiate between atypical primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM). METHODS: One hundred and fifty-eight patients with pathologically confirmed typical PCNSL (n = 59), atypical PCNSL (hemorrhage, necrosis, or heterogeneous contrast enhancement, n = 29), and GBM (n = 70) were selected. Relative minimum ADC (rADC(min)), mean (rADC(mean)), maximum (rADC(max)), and rADC(max-min) (rADC(dif)) were obtained by standardization of the contralateral white matter. Maximum cerebral blood flow (CBF(max)) was obtained according to the ASL-CBF map. The regions of interests (ROIs) were manually delineated on the inner side of the tumor to further generate a 3D-ROI and obtain the non-enhancing tumor (nET) volume. The area under the curve (AUC) was used to evaluate the diagnostic performance. RESULTS: Atypical PCNSLs showed significantly lower rADC(max), rADC(mean), and rADC(dif) than that of GBMs. GBMs showed significantly higher CBF(max) and nET volume ratios than that of atypical PCNSLs. Combined three-variable models with rADC(mean), CBF(max), and nET volume ratio were superior to one- and two-variable models. The AUC of the three-variable model was 0.96, and the sensitivity and specificity were 90% and 96.55%, respectively. CONCLUSION: The combined evaluation of rADC(mean), CBF(max), and nET volume allowed for reliable differentiation between atypical PCNSL and GBM. KEY POINTS: • Atypical PCNSL is easily misdiagnosed as glioblastoma, which leads to unnecessary surgical resection. • The nET volume, ADC, and ASL-derived parameter (CBF) were lower for atypical PCNSL than that for glioblastoma. • The combination of multiple parameters performed well (AUC = 0.96) in the discrimination between atypical PCNSL and glioblastoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-023-09681-2. |
format | Online Article Text |
id | pubmed-10326108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-103261082023-07-08 Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling Yu, Xiaojun Hong, Weiping Ye, Minting Lai, Mingyao Shi, Changzheng Li, Linzhen Ye, Kunlin Xu, Jiali Ai, Ruyu Shan, Changguo Cai, Linbo Luo, Liangping Eur Radiol Neuro OBJECTIVES: To evaluate the multiparametric diagnostic performance with non-enhancing tumor volume, apparent diffusion coefficient (ADC), and arterial spin labeling (ASL) to differentiate between atypical primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM). METHODS: One hundred and fifty-eight patients with pathologically confirmed typical PCNSL (n = 59), atypical PCNSL (hemorrhage, necrosis, or heterogeneous contrast enhancement, n = 29), and GBM (n = 70) were selected. Relative minimum ADC (rADC(min)), mean (rADC(mean)), maximum (rADC(max)), and rADC(max-min) (rADC(dif)) were obtained by standardization of the contralateral white matter. Maximum cerebral blood flow (CBF(max)) was obtained according to the ASL-CBF map. The regions of interests (ROIs) were manually delineated on the inner side of the tumor to further generate a 3D-ROI and obtain the non-enhancing tumor (nET) volume. The area under the curve (AUC) was used to evaluate the diagnostic performance. RESULTS: Atypical PCNSLs showed significantly lower rADC(max), rADC(mean), and rADC(dif) than that of GBMs. GBMs showed significantly higher CBF(max) and nET volume ratios than that of atypical PCNSLs. Combined three-variable models with rADC(mean), CBF(max), and nET volume ratio were superior to one- and two-variable models. The AUC of the three-variable model was 0.96, and the sensitivity and specificity were 90% and 96.55%, respectively. CONCLUSION: The combined evaluation of rADC(mean), CBF(max), and nET volume allowed for reliable differentiation between atypical PCNSL and GBM. KEY POINTS: • Atypical PCNSL is easily misdiagnosed as glioblastoma, which leads to unnecessary surgical resection. • The nET volume, ADC, and ASL-derived parameter (CBF) were lower for atypical PCNSL than that for glioblastoma. • The combination of multiple parameters performed well (AUC = 0.96) in the discrimination between atypical PCNSL and glioblastoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-023-09681-2. Springer Berlin Heidelberg 2023-05-12 2023 /pmc/articles/PMC10326108/ /pubmed/37171492 http://dx.doi.org/10.1007/s00330-023-09681-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Neuro Yu, Xiaojun Hong, Weiping Ye, Minting Lai, Mingyao Shi, Changzheng Li, Linzhen Ye, Kunlin Xu, Jiali Ai, Ruyu Shan, Changguo Cai, Linbo Luo, Liangping Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling |
title | Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling |
title_full | Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling |
title_fullStr | Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling |
title_full_unstemmed | Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling |
title_short | Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling |
title_sort | atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling |
topic | Neuro |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326108/ https://www.ncbi.nlm.nih.gov/pubmed/37171492 http://dx.doi.org/10.1007/s00330-023-09681-2 |
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