Differentiation between primary CNS lymphoma and glioblastoma: qualitative and quantitative analysis using arterial spin labeling MR imaging.

You, Sung-Hye; Yun, Tae Jin; Choi, Hye Jeong; Yoo, Roh-Eul; Kang, Koung Mi; Choi, Seung Hong; Kim, Ji-Hoon; Sohn, Chul-Ho · Eur Radiol · 2018

cross_sectional · Level IV

Where this comes from

Abstract

To evaluate the diagnostic performance of arterial spin labelling perfusion weighted images (ASL-PWIs) to differentiate primary CNS lymphoma (PCNSL) from glioblastoma (GBM). ASL-PWIs of pathologically confirmed PCNSL (n = 21) or GBM (n = 93) were analysed. For qualitative analysis, tumours were visually scored into five categories based on ASL-CBF maps. For quantitative analysis, normalised CBF values were derived by contralateral grey matter (GM) in intra- and peritumoral areas (nCBF<sub>intratumoral</sub> and nCBF<sub>peritumoral</sub>, respectively). Visual scoring scales and quantitative parameters from PCNSL and GBM were compared. In addition, the area under the receiver-operating characteristic (ROC) curve was used to determine the diagnostic accuracy of ASL-PWI for differentiating PCNSL from GBM. Weighted kappa or intraclass correlation coefficients (ICCs) were used to assess reliability between two observers. In qualitative analysis, scores 5 (CBF<sub>intratumoral</sub>>CBF<sub>GM</sub>, 68.8% [64/93]) and 4 (CBF<sub>intratumoral</sub> ≈ CBF<sub>GM</sub>, 47.6% [10/21]) were the most frequently reported scores for GBM and PCNSL, respectively. In quantitative analysis, both nCBF<sub>intratumoral</sub> and nCBF<sub>peritumoral</sub> in PCNSL were significantly lower than those in the GBM (nCBF<sub>intratumoral</sub>, 0.89 ± 0.59 [mean and SD] vs. 2.68 ± 1.89, p < 0.001; nCBF<sub>peritumoral</sub>, 0.17 ± 0.08 vs. 0.45 ± 0.28, p < 0.001). nCBF<sub>peritumoral</sub> demonstrated the best diagnostic performance (area under the ROC curve: visual scoring, 0.814; nCBF<sub>intratumoral</sub>, 0.849; nCBF<sub>peritumoral</sub>, 0.908; p < 0.001 for all). Interobserver agreements for visual scoring (weighted kappa = 0.869), nCBF<sub>intratumoral_GM</sub> (ICC = 0.958) and nCBF<sub>peritumoral_GM</sub> (ICC = 0.947) were all excellent. ASL-PWI performs well in differentiating PCNSL from GBM in both qualitative and quantitative analyses. • ASL-PWI performs well (AUC > 0.8) in differentiating PCNSL from GBM. • The visual scoring template demonstrated good diagnostic performance, similar to quantitative analysis. • nCBF<sub>peritumoral</sub> demonstrated better diagnostic performance than nCBF<sub>intratumoral</sub> or visual scoring.

Medical subject headings