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Thoracic Imaging |
1 From the Department of Radiology and Center for Imaging Science (C.A.Y., K.S.L., Y.J.J.), Department of Pathology (J.H.), Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine (H.K., O.J.K.), and Biostatistics Unit, Samsung Biomedical Research Institute (S.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Ilwon-Dong, Kangnam-Ku, Seoul 135–710, Korea; and Department of Radiology, National Cancer Center Hospital, Koyang, Korea (E.A.K.). Received September 29, 2003; revision requested December 10; revision received December 30; accepted January 30, 2004. Supported in part by a research grant from the Korean Organization of Science and Engineering Foundation (grant no. R01–2001-00109). Address correspondence to K.S.L. (e-mail: melon2@samsung.co.kr).
PURPOSE: To evaluate enhancement dynamics of solitary pulmonary nodules at multi–detector row computed tomography (CT) and to correlate results with extent of tumor angiogenesis in pathologic specimens.
MATERIALS AND METHODS: One hundred thirty-one patients with solitary pulmonary nodules underwent unenhanced thin-section CT, followed by dynamic helical CT (throughout the nodule for 30 mm along the z-axis [13 images] and at 20-second intervals for 3 minutes [130 images total]) after intravenous injection of 120 mL of contrast medium. Diagnosis of malignancy or benignancy was assigned in 109 patients, and follow-up imaging suggested benignancy in the remaining 22. CT findings were analyzed for peak attenuation, net enhancement, and enhancement dynamics. In 54 patients with surgical diagnoses, Pearson correlation coefficient was used to correlate enhancement pattern with extent of microvessel density and vascular endothelial growth factor (VEGF) staining.
RESULTS: With 30 HU or more of net enhancement as a cutoff value in differentiation of malignant and benign nodules, sensitivity for malignant nodules was 99% (69 of 70 malignant nodules), specificity was 54% (33 of 61 benign nodules), positive predictive value was 71% (69 of 97 malignant readings), negative predictive value was 97% (33 of 34 benign readings), and accuracy was 78% (102 of 131 nodules). Peak attenuation was correlated positively with extent of microvessel density (r = 0.369, P = .006) and VEGF staining (r = 0.277, P = .042). Malignant nodules showed significantly higher VEGF expression (P = .009) than that of benign nodules.
CONCLUSION: Dynamic enhancement with multi–detector row CT shows high sensitivity and negative predictive values for diagnosis of malignant nodules but low specificity because of highly enhancing benign nodules. Extent of enhancement reflects underlying nodule angiogenesis.
© RSNA, 2004
Index terms: Lung neoplasms, 68.3115, 68.3221 • Lung neoplasms, CT, 68.12113, 68.12114, 68.12115 • Lung neoplasms, diagnosis
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