Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions.
Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions.
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DOI：
10.1016/j.nicl.2018.01.013
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Gupta A
中科院分区：
文献类型：
--
作者：
Zhang S;Nguyen TD;Zhao Y;Gauthier SA;Wang Y;Gupta A
评估基于T2w FLAIR减影图像半自动病变检测、变化统计检测（SDC）算法（T2w + SDC）和定量敏感性映射（QSM）的新型非对比脑MRI诊断方法的诊断准确性。该方法识别新的病变，并区分增强和非增强病变在多发性硬化症（MS）。33例MS患者在两个不同的时间点进行MRI检查，在第二次MRI检查中至少有一个新的gd增强病变。作为参考标准，由两名神经放射学家在T2w + SDC的帮助下，在T2w和gd后的T1w图像上识别新的病变。确定基于QSM和T2w + SDC病变检测（T2w + SDC + QSM）评估病变增强状态的诊断准确性。进行受试者工作特征（ROC）分析，计算最佳病变敏感性临界值。共发现165个新病灶（54个强化病灶，111个非强化病灶）。T2w + SDC + QSM预测病变增强状态的敏感性和特异性分别为90.7%和85.6%。对于≥50 mm3的病变，ROC分析显示最佳QSM截止值为13.5 ppb，敏感性为88.4%，特异性为88.6% （0.93,95% CI, 0.87-0.99）。对于≥15 mm3的病变，最佳QSM截止值为15.4 ppb，敏感性为77.9%，特异性为94.0% （0.93,95% CI, 0.89-0.97）。本文提出的T2w + SDC + QSM方法在不使用Gd注射的情况下，对MS新发病变的增强状态的识别和预测具有较高的准确性。T2w + SDC对MS新发病变的检测具有较高的敏感性和准确性。T2w + SDC + QSM对新发强化病灶和新发非强化病灶的鉴别准确度较高。T2w + SDC + QSM可作为不注射钆的MS患者常规监测成像方案的基础。
To evaluate the diagnostic accuracy of a novel non-contrast brain MRI method based on semiautomatic lesion detection using T2w FLAIR subtraction image, the statistical detection of change (SDC) algorithm (T2w + SDC), and quantitative susceptibility mapping (QSM). This method identifies new lesions and discriminates between enhancing and nonenhancing lesions in multiple sclerosis (MS). Thirty three MS patients who had MRIs at two different time points with at least one new Gd-enhancing lesion on the 2nd MRI were included in the study. For a reference standard, new lesions were identified by two neuroradiologists on T2w and post-Gd T1w images with the help of T2w + SDC. The diagnostic accuracy of the proposed method based on QSM and T2w + SDC lesion detection (T2w + SDC + QSM) for assessing lesion enhancement status was determined. Receiver operating characteristic (ROC) analysis was performed to compute the optimal lesion susceptibility cutoff value. A total of 165 new lesions (54 enhancing, 111 nonenhancing) were identified. The sensitivity and specificity of T2w + SDC + QSM in predicting lesion enhancement status were 90.7% and 85.6%, respectively. For lesions ≥50 mm3, ROC analysis showed an optimal QSM cutoff value of 13.5 ppb with a sensitivity of 88.4% and specificity of 88.6% (0.93, 95% CI, 0.87–0.99). For lesions ≥15 mm3, the optimal QSM cutoff was 15.4 ppb with a sensitivity of 77.9% and specificity of 94.0% (0.93, 95% CI, 0.89–0.97). The proposed T2w + SDC + QSM method is highly accurate for identifying and predicting the enhancement status of new MS lesions without the use of Gd injection. T2w + SDC has high sensitivity and accuracy in detecting new MS lesions. T2w + SDC + QSM is highly accurate in discriminating between new enhancing and new nonenhancing lesions. T2w + SDC + QSM can form the basis of an imaging protocol without Gadolinium injection for routine surveillance of MS patients.
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DOI：
10.3174/ajnr.a3172
发表时间：
2013-01
期刊：
AJNR. American journal of neuroradiology
影响因子：
--
作者：
Sweeney EM;Shinohara RT;Shea CD;Reich DS;Crainiceanu CM
通讯作者：
Crainiceanu CM
影响因子：
11.2
作者：
Gaitan, Maria I.;Shea, Colin D.;Evangelou, Iordanis E.;Stone, Roger D.;Fenton, Kaylan M.;Bielekova, Bibiana;Massacesi, Luca;Reich, Daniel S.
通讯作者：
Reich, Daniel S.
影响因子：
3.3
作者：
Liu Z;Spincemaille P;Yao Y;Zhang Y;Wang Y
通讯作者：
Wang Y
影响因子：
4.4
作者：
Battaglini, Marco;Rossi, Francesca;De Stefano, Nicola
通讯作者：
De Stefano, Nicola
影响因子：
2.8
作者：
Ganiler, Onur;Oliver, Arnau;Llado, Xavier
通讯作者：
Llado, Xavier