Mascaro L, Duina A, Grazioli L
Medical Physics Department, Spedali Civili di Brescia, Italy.
Magn Reson Imaging. 1995;13(4):531-44. doi: 10.1016/0730-725x(95)00008-5.
A reliable protocol for proton T2 mapping of the parotid region was set up for future characterization of parotid gland disease. A Carr-Purcell-Meiboom-Gill sequence, phase compensated, available on our 1.5 T imager, was selected and acquisition parameters were chosen on the basis of tests performed on phantoms (agarose-doped gels with T2 in the physiological range). Some experiments were carried out to evaluate the accuracy of T2 calculations for selective and nonselective refocussing pulses, for image uniformity corrections, and for different situations of slice shift and repetition times. The chosen protocol was then applied to in vivo evaluations to check the long-term precision by means of repeated measurements performed on the same subject over a 2-month period. Two or more reference gels were positioned both in the phantom and volunteer at the edge of the field-of-view (FOV). Image postprocessing consisted of an automatic procedure, written by the authors in Fortran 77, that selected the best fit for each pixel between mono- and biexponential decay models, and prepared four parametric images (T2 and Rho slow and fast contribution, Rho being a function of proton density and of T1) that may be used for future elaborations. The phantom experiment results showed an accuracy of 2.5% if a linear correction was performed using the reference gels at the edge of the FOV. No significant differences in accuracy were found between selective and nonselective refocussing pulse, and a homogeneity correction was not demonstrated necessary. The measurements performed on four volunteers showed that the best decaying model for healthy parotid tissue was monoexponential. Evaluated T2 resulted 80.18 +/- 6.11 ms (72.96 +/- 4.97 ms for uncorrected results). Long-term reproducibility of the group of measurements from one volunteer, summarizing all the measurement errors, ranged from 0.9 to 8.5%. The two-way ANOVA that was carried out considering the two classes of volunteers and of parotid positions (right or left) showed that differences found between the two parotids were not significant, while T2 differences among individuals are significant if a probability level higher than 1.1% is accepted. As in this case, the main source of error can be attributed to the biological variations among individuals. Future statistics collected on patients for the T2 evaluations of the pathologic tissue will clarify whether the T2 relaxation is a sufficient parameter for T2 discrimination of healthy and pathologic tissue.
建立了一种可靠的腮腺区域质子T2映射协议,用于未来腮腺疾病的特征描述。选择了我们1.5T成像仪上可用的经过相位补偿的Carr-Purcell-Meiboom-Gill序列,并根据在体模(T2在生理范围内的琼脂糖掺杂凝胶)上进行的测试选择采集参数。进行了一些实验,以评估选择性和非选择性重聚焦脉冲的T2计算准确性、图像均匀性校正以及不同切片移位和重复时间情况下的准确性。然后将选定的协议应用于体内评估,通过在2个月内对同一受试者进行重复测量来检查长期精度。在体模和志愿者的视野(FOV)边缘放置了两个或更多参考凝胶。图像后处理由作者用Fortran 77编写的自动程序组成,该程序为每个像素在单指数和双指数衰减模型之间选择最佳拟合,并准备了四个参数图像(T2以及Rho慢和快成分,Rho是质子密度和T1的函数),可用于未来的分析。体模实验结果表明,如果使用FOV边缘的参考凝胶进行线性校正,准确性为2.5%。在选择性和非选择性重聚焦脉冲之间未发现准确性有显著差异,并且未证明有必要进行均匀性校正。对四名志愿者进行的测量表明,健康腮腺组织的最佳衰减模型是单指数的。评估的T2结果为80.18±6.11ms(未校正结果为72.96±4.97ms)。一名志愿者的一组测量的长期可重复性,总结所有测量误差,范围为0.9%至8.5%。考虑两类志愿者和腮腺位置(右侧或左侧)进行 的双向方差分析表明,两个腮腺之间发现的差异不显著,而如果接受高于1.1% 的概率水平,则个体之间的T2差异显著。在这种情况下,误差的主要来源可归因于个体之间的生物学差异。未来对患者进行的T2病理组织评估统计将阐明T2弛豫是否是区分健康和病理组织的T2的充分参数。