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DOI 10.1016/j.mri.2010.08.002

Медицинская библиотека · Magnetic resonance imaging · 2010

Characterization of mediastinal lymphadenopathy with diffusion-weighted imaging.

Abdel Razek Ahmed Abdel Khalek, Elkammary Sahar, Elmorsy Ahmed Saad, Elshafey Mohsen, Elhadedy Tamer

СтатьяПеревод пока не подготовлен

Аннотация

PURPOSE: To predict malignancy of mediastinal lymphadenopathy with diffusion-weighted imaging.

MATERIAL AND

METHODS

A prospective study was conducted on 35 patients with mediastinal lymphadenopathy (28 malignant and seven benign nodes). They underwent echoplanar diffusion-weighted magnetic resonance imaging of the mediastinum with b-factors of 0, 300 and 600 s/mm(2). The apparent diffusion coefficient (ADC) values of the mediastinal lymph nodes were calculated. The ADC values were correlated with the biopsy results and statistical analysis was done. A value of P<.05 was considered significant.

RESULTS

The mean ADC value of malignant mediastinal lymphadenopathy (1.06±0.3×10(-3) mm(2)/s) was significantly lower (P=.001) than that of benign lymphadenopathy (2.39±0.7×10(-3) mm(2)/s). There was an insignificant difference in the ADC values between metastatic and lymphomatous mediastinal lymph nodes (P=.32) as well as within benign nodes (P=.07). When an ADC value of 1.85×10(-3) mm(2)/s was used as a threshold value for differentiating malignant mediastinal nodes from benign nodes, the best results were obtained with an accuracy of 83.9%, a sensitivity of 96.4%, a specificity of 71.4%, a negative predictive value of 95.2% and a positive predictive value of 77.1%. The area under the curve was 0.98.

CONCLUSION

Diffusion weighted magnetic resonance imaging is a promising noninvasive imaging modality that can be used for characterization of mediastinal lymphadenopathy and differentiation of malignant from benign mediastinal lymph nodes.

Для цитирования: Abdel Razek Ahmed Abdel Khalek, Elkammary Sahar, Elmorsy Ahmed Saad, Elshafey Mohsen, Elhadedy Tamer. Characterization of mediastinal lymphadenopathy with diffusion-weighted imaging.. Magnetic resonance imaging. 2010. DOI: 10.1016/j.mri.2010.08.002.

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