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Prediction Rule for Characterization of Hepatic Lesions Revealed on MR Imaging

Estimation of Malignancy

Richard Tello1, Helen M. Fenlon, Todd Gagliano, Victor L. S. deCarvalho and E. Kent Yucel

1 All authors: Department of Radiology, Boston University School of Medicine, Boston Medical Center, 88 E. Newton St., Atrium 2, Boston, MA 02118.



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Fig. 1. Receiver operating characteristic curve using T2, patient history, and gadopentetate dimeglumine enhancement character gives area under curve of 0.95.

 


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Fig. 2. Probability of malignancy of hepatic lesion as function of lesion's calculated T2.

 


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Fig. 3. Probability of malignancy of hepatic lesion as function of lesion's calculated T2 modified for patient with history of known primary or no known primary malignancy. Solid line = no known primary malignancy, dashed line = known primary malignancy.

 


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Fig. 4. Probability of malignancy of hepatic lesion as function of lesion's calculated T2 modified on basis of enhancement characteristics of contrast medium. Solid line = hemangiomalike enhancement, dashed line = no hemagiomalike enhancement.

 


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Fig. 5. Probability of malignancy of hepatic lesion as function of lesion's calculated T2 modified on basis of enhancement characteristics of contrast medium and patient history of prior malignancy status. Thin solid line = no primary malignancy and positive gadopentetate dimeglumine enhancement pattern, thick solid line = primary malignancy and negative gadopentetate dimeglumine enhancement pattern, dotted line = primary malignancy and positive gadopentetate dimeglumine enhancement pattern, dotted dashed line = no primary malignancy and negative gadopentetate dimeglumine enhancement pattern.

 

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