Wang Song-Quan, Yuan Qing, Zhang Guang-Tao, Qian Hai-Peng, Liu Zhi-Dan, Wang Jia-Wei, Cai Hong-Qing, Wan Jing-Hai
Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Transl Cancer Res. 2022 Jan;11(1):63-71. doi: 10.21037/tcr-21-1957.
Differentiating glioblastoma (GBM), brain metastases, and primary central nervous system lymphoma (PCNSL) in clinical practice is difficult. This study aimed to evaluate the diagnostic value of routine blood biomarkers in patients with GBM, brain metastases, and PCNSL and find a preoperative differential diagnostic tool for these tumors.
The perioperative medical records of 70 GBM, 41 PCNSL, and 81 brain metastases patients and their preoperative blood test results were compared and analyzed, and a diagnostic model to differentiate among them established.
Patient age, plateletcrit, international normalized ratio (INR), and thrombin time (TT) were independently associated with differential diagnosis by multinomial logistic regression. Compared with GBM patients, brain metastases patients were significantly older (OR =1.055, 95% CI: 1.016-1.094, P=0.005) and had lower plateletcrit levels (OR =0.008, 95% CI: 0.004-0.017, P=0.027). In addition, patients with GBM had lower INR and higher TT than patients with the other two tumor types. A diagnostic model including these parameters, had an accuracy of 88.2% and 76.1% for brain metastases and GBM, respectively.
Preoperative plateletcrit, INR, and TT may be used as inexpensive blood diagnostic biomarkers for differentiating brain metastases from other intracranial malignant tumors.
在临床实践中,鉴别胶质母细胞瘤(GBM)、脑转移瘤和原发性中枢神经系统淋巴瘤(PCNSL)具有挑战性。本研究旨在评估常规血液生物标志物在GBM、脑转移瘤和PCNSL患者中的诊断价值,并寻找这些肿瘤的术前鉴别诊断工具。
比较并分析70例GBM、41例PCNSL和81例脑转移瘤患者的围手术期病历及其术前血液检查结果,并建立一个用于鉴别它们的诊断模型。
通过多项逻辑回归分析,患者年龄、血小板压积、国际标准化比值(INR)和凝血酶时间(TT)与鉴别诊断独立相关。与GBM患者相比,脑转移瘤患者年龄显著更大(OR = 1.055,95%CI:1.016 - 1.094,P = 0.005)且血小板压积水平更低(OR = 0.008,95%CI:0.004 - 0.017,P = 0.027)。此外,GBM患者的INR低于其他两种肿瘤类型的患者,TT高于其他两种肿瘤类型的患者。包含这些参数的诊断模型对脑转移瘤和GBM的诊断准确率分别为88.2%和76.1%。
术前血小板压积、INR和TT可作为廉价的血液诊断生物标志物,用于鉴别脑转移瘤与其他颅内恶性肿瘤。