Li Ka-Loh, Djoukhadar Ibrahim, Zhu Xiaoping, Zhao Sha, Lloyd Simon, McCabe Martin, McBain Catherine, Evans D Gareth, Jackson Alan
Wolfson Molecular Imaging Centre, The University of Manchester, Manchester, UK (K.-L.L., I.D., X.Z., S.Z., A.J.); Institute of Population Health, The University of Manchester, Manchester, UK (K.-L.L., I.D., A.J.); Genomic Medicine, The University of Manchester, Manchester Academic Health Science Centre, Institute of Human Development, Central Manchester NHS Foundation Trust, Manchester Royal Infirmary, Manchester, UK (S.L., D.G.E.); Centre for Paediatric, Adolescent and Young Adult Cancer, Institute of Cancer Sciences, The University of Manchester, UK (M.M.); The Christie NHS Foundation Trust, Manchester, UK (C.M.).
Neuro Oncol. 2016 Feb;18(2):275-82. doi: 10.1093/neuonc/nov168. Epub 2015 Aug 26.
Antiangiogenic therapy of vestibular schwannoma (VS) in type 2 neurofibromatosis can produce tumor shrinkage with response rates of 40%-60%. This study examines the predictive value of parameter-derived MRI in this setting.
Twelve patients with 20 VSs were recruited. Each had at least one rapidly growing tumor. Patients were treated with bevacizumab, 5 mg/kg every 2 weeks. Patients with stable or reduced VS volume were maintained at 2.5-5 mg every 4 weeks after 6 months. Those who failed treatment had their bevacizumab discontinued. Dynamic contrast-enhanced (DCE) MRI performed prior to treatment using a high temporal resolution technique, and data were analyzed to allow measurement of contrast transfer coefficient (K(trans)), vascular fraction (v(p)), extravascular-extracellular fraction (v(e)). Relaxation rate (R1(N)) was measured using a variable flip angle technique. Apparent diffusional coefficient (ADC) was calculated from diffusion-weighted imaging. The predictive power of microvascular parameters and ADC were examined using logistic regression modeling.
Responding tumors were larger (P < .001), had lower R1(N) (P < .001), and higher K(trans) (P < .05) and ADC (P < .01). They showed increases in R1(N) (P < .01) and reduction of K(trans) (P < .01) and ADC (P < .01). Modeling to predict response demonstrated significant independent predictive power for R1(N) (Β = - 0.327, P < .001), and K(trans) (Β = 0.156, P < .05). Modeling to predict percentage change in tumor volume at 90 days identified baseline tumor volume (Β = 5.503, P < .05), R1(N) (Β = - 5.844, P < .05), and K(trans) (Β = 5.622, P < .05) as independent significant predictors.
In patients with type 2 neurofibromatosis, biomarkers from DCE-MRI are predictive of VS volume response to inhibition of vascular endothelial growth factor inhibition.
2型神经纤维瘤病患者的前庭神经鞘瘤(VS)抗血管生成治疗可使肿瘤缩小,缓解率为40%-60%。本研究探讨参数衍生MRI在此情况下的预测价值。
招募了12例患有20个VS的患者。每位患者至少有一个快速生长的肿瘤。患者接受贝伐单抗治疗,每2周5mg/kg。VS体积稳定或缩小的患者在6个月后每4周维持2.5-5mg。治疗失败的患者停用贝伐单抗。在治疗前使用高时间分辨率技术进行动态对比增强(DCE)MRI,并分析数据以测量对比剂转移系数(K(trans))、血管分数(v(p))、血管外-细胞外分数(v(e))。使用可变翻转角技术测量弛豫率(R1(N))。表观扩散系数(ADC)由扩散加权成像计算得出。使用逻辑回归模型检查微血管参数和ADC的预测能力。
有反应的肿瘤更大(P <.001),R1(N)更低(P <.001),K(trans)更高(P <.05)和ADC更高(P <.01)。它们显示R1(N)增加(P <.01),K(trans)降低(P <.01)和ADC降低(P <.01)。预测反应的模型显示R1(N)具有显著的独立预测能力(Β = - 0.327,P <.001)和K(trans)(Β = 0.156,P <.05)。预测90天时肿瘤体积变化百分比的模型确定基线肿瘤体积(Β = 5.503,P <.05)、R1(N)(Β = - 5.844,P <.05)和K(trans)(Β = 5.622,P <.05)为独立的显著预测因子。
在2型神经纤维瘤病患者中,DCE-MRI的生物标志物可预测VS体积对血管内皮生长因子抑制的反应。