Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, Republic of Korea.
Sci Rep. 2018 Jan 11;8(1):456. doi: 10.1038/s41598-017-18901-x.
To evaluate whether the cerebral blood volume (CBV) measurement with leakage correction from dynamic susceptibility contrast perfusion weighted imaging can be useful in predicting prognosis for primary central nervous system lymphoma (PCNSL). 46 PCNSL patients were included and classified by radiation therapy (RT) stratification into RT (n = 30) and non-RT (n = 16) groups. The corresponding histogram parameters of normalized CBV (nCBV) maps with or without leakage correction were calculated on contrast-enhanced T1 weighted image (CE T1WI) or on fluid attenuated inversion recovery image. The 75 percentile nCBV with leakage correction based on CE T1WI (T1 nCBVL) had a significant difference between the short and long progression free survival (PFS) subgroups of the RT group and the non-RT group, respectively. Based on the survival analysis, patients in the RT group with high T1 nCBVL had earlier progression than the others with a low T1 nCBVL. However, patients in the non-RT group with a high T1 nCBVL had slower progression than the others with a low T1 nCBVL. Based on RT stratification, the CBV with leakage correction has potential as a noninvasive biomarker for the prognosis prediction of PCNSL to identify high risk patients and it has a different correlation with the PFS based on the presence of combined RT.
为了评估从动态对比磁共振灌注加权成像(DCE-MRI)中使用漏出校正的脑血容量(CBV)测量是否可以用于预测原发性中枢神经系统淋巴瘤(PCNSL)的预后。本研究纳入了 46 例 PCNSL 患者,并根据放疗(RT)分层将其分为 RT 组(n=30)和非 RT 组(n=16)。在增强 T1 加权成像(CE-T1WI)或液体衰减反转恢复图像上计算校正和未校正漏出的标准化 CBV(nCBV)图的相应直方图参数。CE-T1WI 上基于校正漏出的 75%分位数 nCBV(T1 nCBVL)在 RT 组和非 RT 组的短和长无进展生存(PFS)亚组之间有显著差异。基于生存分析,RT 组中 T1 nCBVL 高的患者比 T1 nCBVL 低的患者更早进展,但非 RT 组中 T1 nCBVL 高的患者比 T1 nCBVL 低的患者进展更慢。基于 RT 分层,校正漏出的 CBV 具有作为 PCNSL 预后预测的非侵入性生物标志物的潜力,可以识别高危患者,并且与基于联合 RT 的 PFS 具有不同的相关性。