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Dynamic contrast-enhanced MRI of orbital and anterior visual pathway lesions.
Jittapiromsak, Nutchawan; Hou, Ping; Liu, Ho-Ling; Sun, Jia; Schiffman, Jade S; Chi, T Linda.
Afiliación
  • Jittapiromsak N; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Radiology, Faculty of Medicine, Chulalongkorn University and the King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
  • Hou P; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Liu HL; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Sun J; Department of Biostatistics (J.S.), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Schiffman JS; Neuro-Ophthalmology of Texas (J.S.S.), Houston, TX, USA.
  • Chi TL; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: linda.chi@mdanderson.org.
Magn Reson Imaging ; 51: 44-50, 2018 09.
Article en En | MEDLINE | ID: mdl-29709464
ABSTRACT

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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Órbita / Vías Visuales / Imagen por Resonancia Magnética / Aumento de la Imagen / Medios de Contraste Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Imaging Año: 2018 Tipo del documento: Article País de afiliación: Tailandia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Órbita / Vías Visuales / Imagen por Resonancia Magnética / Aumento de la Imagen / Medios de Contraste Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Imaging Año: 2018 Tipo del documento: Article País de afiliación: Tailandia