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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...

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Autores principales: Yu, Xiaojun, Hong, Weiping, Ye, Minting, Lai, Mingyao, Shi, Changzheng, Li, Linzhen, Ye, Kunlin, Xu, Jiali, Ai, Ruyu, Shan, Changguo, Cai, Linbo, Luo, Liangping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
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.
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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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