Patankar Tufail F, Haroon Hamied A, Mills Samantha J, Balériaux Danielle, Buckley David L, Parker Geoff J M, Jackson Alan
Imaging Science and Biomedical Engineering, Faculty of Medicine, University of Manchester, Manchester, United Kingdom.
AJNR Am J Neuroradiol. 2005 Nov-Dec;26(10):2455-65.
The purpose of this study was to examine the relationship between contrast transfer coefficient [K(trans)] and grade in gliomas.
Median values of K(trans), CBV(T1), and of the 95th percentile (95%) of the distribution (K(trans) [95%] and CBV(T1) [95%]) were calculated in 39 patients with glioma. Group comparisons and post hoc pairwise comparisons were performed. The relationship between variables and grade used Spearman rho and canonical discriminant analysis. The separation of high- from low-grade tumors was separately assessed by using Mann-Whitney U tests and logistic regression. Receiver operator curve analysis was performed for high- and low-grade tumors and grade III and grade IV tumors.
There were significant differences between grades for all variables (P < .001). Pairwise comparisons demonstrated significant differences between grades II and III and II and IV for all variables except K(trans), which did not show significance in the grade II and III comparison, and between III and IV for CBV(T1) and CBV(T1) (95%; P < .01). All variables correlated with grade (P < .01). Discriminant analysis showed independent relation between both CBV(T1) and K(trans) (95%) and grade, and the canonical function produced a total correct classification of 74.4% of cases. Logistic regression analysis for low- versus high-grade tumors showed K(trans) (95%) and CBV(T1) to be independent factors (P < .01 and P < .05).
There are strong independent relationships between both CBV and K(trans) and histologic grade in gliomas. Both measurements show good discriminative power in distinguishing between low- and high-grade tumors with diagnostic sensitivity and specificity >90%.
本研究旨在探讨对比剂转运系数[K(trans)]与胶质瘤分级之间的关系。
计算39例胶质瘤患者的K(trans)、CBV(T1)的中位数以及分布的第95百分位数(95%)（K(trans)[95%]和CBV(T1)[95%]）。进行组间比较和事后两两比较。使用Spearman秩相关系数和典型判别分析来研究变量与分级之间的关系。通过Mann-Whitney U检验和逻辑回归分别评估高级别肿瘤与低级别肿瘤的区分情况。对高级别和低级别肿瘤以及III级和IV级肿瘤进行受试者操作特征曲线分析。
所有变量在不同分级之间均存在显著差异（P <.001）。两两比较显示，除K(trans)在II级和III级比较中无显著差异外，所有变量在II级和III级、II级和IV级之间均存在显著差异，CBV(T1)和CBV(T1)(95%)在III级和IV级之间存在显著差异（P <.01）。所有变量均与分级相关（P <.01）。判别分析显示CBV(T1)和K(trans)(95%)与分级均存在独立关系，典型函数对病例的总正确分类率为74.4%。低级别与高级别肿瘤的逻辑回归分析显示K(trans)(95%)和CBV(T1)是独立因素（P <.01和P <.05）。
CBV和K(trans)与胶质瘤的组织学分级均存在密切的独立关系。这两种测量方法在区分低级别和高级别肿瘤方面具有良好的鉴别能力，诊断敏感性和特异性均>90%。
