Precontrast T1 signal measurements of normal pituitary and microadenoma: A retrospective analysis through DCE MRI signal time curves
Precontrast T1 signal measurements of normal pituitary and microadenoma: A retrospective analysis through DCE MRI signal time curves
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DOI：
10.4103/ijri.ijri_104_18
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发表时间：
2018-10
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影响因子：
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通讯作者：
I. Kumar;Tanya Yadav;A. Verma;R. Shukla;S. Singh
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作者：
I. Kumar;Tanya Yadav;A. Verma;R. Shukla;S. Singh
摘要背景：动态对比增强磁共振成像（DCE MRI）目前已成为检测垂体微腺瘤最常用的技术。然而，由于正常垂体的差异性增强，高假阳性率仍然是其解释中的一个问题。目的：我们的目的是评估 DCE MRI 怀疑病变的对比前 T1 信号强度比 (SIR) 在预测微腺瘤存在方面的效用。材料和方法：我们回顾性审查了 23 名转诊垂体 DCE MRI 的患者的 MRI（第 1 组，15 名诊断为垂体微腺瘤的患者；第 2 组，临床上未标记为微腺瘤的患者）。绘制 STC，并在差异增强 (SIR T) 和正常垂体 (SIR P) 的可疑区域获得 t = 0 秒时的 T1-SIR。计算每位患者的 SIR 差值 (SIR P – SIR T) 和相对 SIR 差值 (SIR P – SIR T/SIR P)，并在两组之间进行比较。结果：患有微腺瘤的患者的平均 T1 SIR 低于没有微腺瘤的患者 (P = 0.065)。微腺瘤患者的 SIR 差异和相对 SIR 差异较高（分别为 P = 0.003 和 0.005）。受试者操作特征曲线分析表明，SIR 差异和相对 SIR 差异的截止值分别为 26 和 0.107，可以以 100% 的特异性和合理的敏感性诊断微腺瘤。结论：通过STC曲线导出DCE MRI上疑似微腺瘤病变的基线对比前T1 SIR评估，可以增加诊断微腺瘤的置信度。
Abstract Background: The dynamic contrast enhanced magnetic resonance imaging (DCE MRI) has currently become the most utilized technique for the detection of pituitary microadenoma. However, owing to differential enhancement of normal pituitary, high rate of false positivity remains a concern in its interpretation. Purpose: Our aim was to assess the utility of precontrast T1 signal intensity ratio (SIR) of the lesions suspected on DCE MRI, in prediction of presence of microadenoma. Materials and Methods: We retrospectively reviewed MRI of 23 patients referred for DCE MRI of pituitary (group 1, 15 patients with diagnosis of pituitary microadenoma; and group 2, patients not clinically labeled as microadenoma). STC were plotted and T1-SIR at t = 0 s was obtained at the suspicious zone of differential enhancement (SIR T) and normal pituitary (SIR P). SIR difference (SIR P − SIR T) and relative SIR difference (SIR P − SIR T/SIR P) were calculated for each patient and was compared between the two groups. Results: Mean T1 SIR is lower in patients with microadenoma than those without (P = 0.065). SIR difference and relative SIR difference was higher in patients with microadenoma (P = 0.003 and 0.005, respectively). Receiver-operated characteristic curve analysis demonstrated that a cut-off of 26 and 0.107 for SIR difference and relative SIR difference, respectively, could diagnose microadenoma with 100% specificity and reasonable sensitivities. Conclusion: The baseline precontrast T1 SIR evaluation of the lesion suspected to be microadenoma on DCE MRI, derived through STC curve, can increase diagnostic confidence in diagnosis of microadenoma.