TY - JOUR
T1 - Dynamic contrast-enhanced MRI of orbital and anterior visual pathway lesions
AU - Jittapiromsak, Nutchawan
AU - Hou, Ping
AU - Liu, Ho Ling
AU - Sun, Jia
AU - Schiffman, Jade S.
AU - Chi, T. Linda
N1 - Publisher Copyright:
© 2018
PY - 2018/9
Y1 - 2018/9
N2 - Purpose: The accurate diagnosis of orbital and anterior visual pathway lesions has clinical significance. We determined whether dynamic contrast-enhanced MRI could differentiate benign from malignant lesions and compared model-independent and model-dependent methods of data analysis. Methods: We retrospectively reviewed dynamic contrast-enhanced MRI studies of 37 enhancing orbital and anterior visual pathway lesions. The data were processed using model-independent analysis and model-dependent analysis using a 2-compartment pharmacokinetic model. The time-signal intensity curve and semiquantitative parameters from the model-independent method (area under the curve [AUC] after the initial 60, 90, and 120 s; time to peak; maximum signal enhancement ratio; maximum slope of increase; and washout ratio) and the quantitative parameters from the model-dependent method (Ktrans, kep, and ve) were derived for comparison with pathologic diagnoses. Results: The time-signal intensity curves demonstrated different perfusion characteristics and were classified into 4 types. All the lesions that demonstrated curve types 1 and 4 were benign, while type 3 lesions were significantly associated with malignancy (P = 0.001). AUC60, AUC90, AUC120, and kep were significantly lower in benign lesions than in malignant lesions (P = 0.020, 0.018, 0.015, and 0.018, respectively). Receiver operating characteristic analysis indicated that AUC120 yielded the best diagnostic accuracy (area under the curve, 0.80; 95% CI, 0.64–0.96) in differentiating between benign and malignant lesions. Conclusions: Dynamic contrast-enhanced MRI is useful in evaluating orbital and anterior visual pathway lesions. The model-independent analysis method is equivalent to the model-dependent method in differentiating benign from malignant lesions.
AB - Purpose: The accurate diagnosis of orbital and anterior visual pathway lesions has clinical significance. We determined whether dynamic contrast-enhanced MRI could differentiate benign from malignant lesions and compared model-independent and model-dependent methods of data analysis. Methods: We retrospectively reviewed dynamic contrast-enhanced MRI studies of 37 enhancing orbital and anterior visual pathway lesions. The data were processed using model-independent analysis and model-dependent analysis using a 2-compartment pharmacokinetic model. The time-signal intensity curve and semiquantitative parameters from the model-independent method (area under the curve [AUC] after the initial 60, 90, and 120 s; time to peak; maximum signal enhancement ratio; maximum slope of increase; and washout ratio) and the quantitative parameters from the model-dependent method (Ktrans, kep, and ve) were derived for comparison with pathologic diagnoses. Results: The time-signal intensity curves demonstrated different perfusion characteristics and were classified into 4 types. All the lesions that demonstrated curve types 1 and 4 were benign, while type 3 lesions were significantly associated with malignancy (P = 0.001). AUC60, AUC90, AUC120, and kep were significantly lower in benign lesions than in malignant lesions (P = 0.020, 0.018, 0.015, and 0.018, respectively). Receiver operating characteristic analysis indicated that AUC120 yielded the best diagnostic accuracy (area under the curve, 0.80; 95% CI, 0.64–0.96) in differentiating between benign and malignant lesions. Conclusions: Dynamic contrast-enhanced MRI is useful in evaluating orbital and anterior visual pathway lesions. The model-independent analysis method is equivalent to the model-dependent method in differentiating benign from malignant lesions.
KW - Anterior visual pathway
KW - Dynamic contrast-enhanced MRI
KW - Orbit
KW - Perfusion MRI
UR - http://www.scopus.com/inward/record.url?scp=85046140725&partnerID=8YFLogxK
U2 - 10.1016/j.mri.2018.04.016
DO - 10.1016/j.mri.2018.04.016
M3 - 文章
C2 - 29709464
AN - SCOPUS:85046140725
SN - 0730-725X
VL - 51
SP - 44
EP - 50
JO - Magnetic Resonance Imaging
JF - Magnetic Resonance Imaging
ER -