Yi-Bin Xi1, Xiao-Wei Kang1, Ning Wang1, Ting-Ting Liu1, Yuan-Qiang Zhu1, Guang Cheng2, Kai Wang2, Chen Li1, Fan Guo3, Hong Yin4. 1. Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China. 2. Department of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. 3. Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China; Key Laboratory of Molecular Imaging of the Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. Electronic address: guofan@fmmu.edu.cn. 4. Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China. Electronic address: yinhong@fmmu.edu.cn.
Abstract
BACKGROUND AND PURPOSE: Conventional magnetic resonance imaging (MRI) is sometimes difficult to distinguish primary central nervous system lymphoma (PCNSL) from other malignant brain tumors effectively. The study aimed to evaluate the diagnostic performance of arterial spin labeling (ASL) and dynamic contrast-enhanced (DCE)-derived permeability parameters to differentiate PCNSL from high-grade glioma (HGG) and brain metastasis. MATERIALS AND METHODS: Eight patients with PCNSL, twenty one patients with HGG and six brain metastasis underwent preoperative 3.0-T MR imaging including conventional, ASL and DCE. Quantitative parameters including relative cerebral blood flow (rCBF), extravascular extracellular volume fraction (Ve) and the volume transfer constant (Ktrans) among PCNSL, HGG and metastasis were compared with a one-way analysis of variance. In addition, the area under the receiver-operating characteristic (ROC) curve (AUC) was constructed to evaluate the differentiation diagnostic performance of each parameter and the combination. RESULTS: The PCNSL demonstrated significantly lower rCBF, higher Ktrans and Ve compared with HGG and metastasis. For the ROC analyses, both Ktrans and rCBF had good diagnostic performance for discriminating PCNSL from HGG and metastasis, with the AUC of 0.880 and 0.889. With the combination of rCBF and Ktrans, the diagnostic ability for PCNSL was improved with AUC of 0.986. CONCLUSION: rCBF and Ktrans are useful parameters for differentiating PCNSL from HGG and brain metastasis. The combination of rCBF and Ktrans further helps to improve the diagnostic performance of PCNSL.
BACKGROUND AND PURPOSE: Conventional magnetic resonance imaging (MRI) is sometimes difficult to distinguish primary central nervous system lymphoma (PCNSL) from other malignant brain tumors effectively. The study aimed to evaluate the diagnostic performance of arterial spin labeling (ASL) and dynamic contrast-enhanced (DCE)-derived permeability parameters to differentiate PCNSL from high-grade glioma (HGG) and brain metastasis. MATERIALS AND METHODS: Eight patients with PCNSL, twenty one patients with HGG and six brain metastasis underwent preoperative 3.0-T MR imaging including conventional, ASL and DCE. Quantitative parameters including relative cerebral blood flow (rCBF), extravascular extracellular volume fraction (Ve) and the volume transfer constant (Ktrans) among PCNSL, HGG and metastasis were compared with a one-way analysis of variance. In addition, the area under the receiver-operating characteristic (ROC) curve (AUC) was constructed to evaluate the differentiation diagnostic performance of each parameter and the combination. RESULTS: The PCNSL demonstrated significantly lower rCBF, higher Ktrans and Ve compared with HGG and metastasis. For the ROC analyses, both Ktrans and rCBF had good diagnostic performance for discriminating PCNSL from HGG and metastasis, with the AUC of 0.880 and 0.889. With the combination of rCBF and Ktrans, the diagnostic ability for PCNSL was improved with AUC of 0.986. CONCLUSION: rCBF and Ktrans are useful parameters for differentiating PCNSL from HGG and brain metastasis. The combination of rCBF and Ktrans further helps to improve the diagnostic performance of PCNSL.
Authors: Vittorio Stumpo; Martina Sebök; Christiaan Hendrik Bas van Niftrik; Katharina Seystahl; Nicolin Hainc; Zsolt Kulcsar; Michael Weller; Luca Regli; Jorn Fierstra Journal: MAGMA Date: 2021-12-07 Impact factor: 2.310
Authors: A I Batalov; R M Afandiev; N E Zakharova; E L Pogosbekyan; A A Shulgina; G L Kobyakov; A A Potapov; I N Pronin Journal: Neuroradiology Date: 2022-02-03 Impact factor: 2.995
Authors: Ramon F Barajas; Letterio S Politi; Nicoletta Anzalone; Heiko Schöder; Christopher P Fox; Jerrold L Boxerman; Timothy J Kaufmann; C Chad Quarles; Benjamin M Ellingson; Dorothee Auer; Ovidiu C Andronesi; Andres J M Ferreri; Maciej M Mrugala; Christian Grommes; Edward A Neuwelt; Prakash Ambady; James L Rubenstein; Gerald Illerhaus; Motoo Nagane; Tracy T Batchelor; Leland S Hu Journal: Neuro Oncol Date: 2021-07-01 Impact factor: 12.300