Dataset Information

Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling.

ABSTRACT:

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.

SUBMITTER: Yu X

PROVIDER: S-EPMC10326108 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Publications

Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling.

Yu Xiaojun X Hong Weiping W Ye Minting M Lai Mingyao M Shi Changzheng C Li Linzhen L Ye Kunlin K Xu Jiali J Ai Ruyu R Shan Changguo C Cai Linbo L Luo Liangping L

European radiology 20230512 8

<h4>Objectives</h4>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).<h4>Methods</h4>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 se ...[more]

PMID: 37171492

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Dataset Information

Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling.

Objectives

Methods

Results

Conclusion

Key points

Publications

Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling.

Similar Datasets

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