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From the Klinik und Poliklinik für Strahlenheilkunde (Drs. Hierholzer, Bittner, Stroszczynski, and Schröder), Charité Virchow-Klinikum, Humboldt Universit
zu Berlin, Germany; the Medical Imaging Center (Dr. Luo), The First Affiliated Hospital, Jinan University Medical College, Guangzhou, Peoples Republic of China; Lungenklinik Heckeshorn (Drs. Schoenfeld, Loddenkemper, and Grassot), Berlin, Germany; and DRK-Krankenhaus (Dr. Dorow), Drontheimer Strasse, Berlin, Germany.
Correspondence to: Johannes Hierholzer, MD, Radiologische Klinik, Klinikum Ernst-von-Bergmann, Charlottenstrasse 72, 14467 Potsdam, Germany
Study objective: To explore the role of MRI in the differential diagnosis of pleural disease.
Patients: Forty-two patients with pleural disease were included.
Method: Retrospective study. All patients were examined with both CT and MRI. The morphologic features of pleural lesions and magnetic resonance signal intensity on T1-weighted, T2-weighted, and contrast-enhanced T1-weighted images were evaluated.
Results: Mediastinal pleural involvement, circumferential
pleural thickening, nodularity, irregularity of pleural contour, and
infiltration of the chest wall and/or diaphragm were most suggestive of
a malignant cause both on CT and MRI. Pleural calcification on CT was
suggestive of a benign cause. Contrary to what has been previously
reported in the literature, neither on CT nor on MRI, pleural thickness
> 1 cm revealed significant difference between malignant and benign
pleural disease (p > 0.05,
2 test). High signal
intensity in relation to intercostal muscles on T2-weighted and/or
contrast-enhanced T1-weighted images was significantly suggestive for a
malignant disease. Using morphologic features in combination with the
signal intensity features, MRI had a sensitivity of 100% and a
specificity of 93% in the detection of pleural malignancy.
Conclusion: When signal intensity and morphologic features are assessed, MRI is more useful and therefore superior to CT in differentiation of malignant from benign pleural disease.
Key Words: CT MRI pleural disease signal intensity
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