Article: Lung nodule enhancement at CT: multicenter study.
2000 Volume 214, Issue 1, Page(s) 73–80
Abstract: Purpose: To test the hypothesis that absence of statistically significant lung nodule enhancement (< or =15 HU) at computed tomography (CT) is strongly predictive of benignity.: Materials and methods: Five hundred fifty lung nodules were studied. Of ... ...
Abstract | Purpose: To test the hypothesis that absence of statistically significant lung nodule enhancement (< or =15 HU) at computed tomography (CT) is strongly predictive of benignity. Materials and methods: Five hundred fifty lung nodules were studied. Of these, 356 met all entrance criteria and had a diagnosis. On nonenhanced, thin-section CT scans, the nodules were solid, 5-40 mm in diameter, relatively spherical, homogeneous, and without calcification or fat. All patients were examined with 3-mm-collimation CT before and after intravenous injection of contrast material. CT scans through the nodule were obtained at 1, 2, 3, and 4 minutes after the onset of injection. Peak net nodule enhancement and time-attenuation curves were analyzed. Seven centers participated. Results: The prevalence of malignancy was 48% (171 of 356 nodules). Malignant neoplasms enhanced (median, 38.1 HU; range, 14.0-165.3 HU) significantly more than granulomas and benign neoplasms (median, 10.0 HU; range, -20.0 to 96.0 HU; P < .001). With 15 HU as the threshold, the sensitivity was 98% (167 of 171 malignant nodules), the specificity was 58% (107 of 185 benign nodules), and the accuracy was 77% (274 of 356 nodules). Conclusion: Absence of significant lung nodule enhancement (< or = 15 HU) at CT is strongly predictive of benignity. |
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MeSH term(s) | Adult ; Aged ; Aged, 80 and over ; Contrast Media ; Diagnosis, Differential ; Female ; Humans ; Lung Neoplasms/diagnostic imaging ; Male ; Middle Aged ; Prospective Studies ; Radiographic Image Enhancement ; Sensitivity and Specificity ; Solitary Pulmonary Nodule/diagnostic imaging ; Tomography, X-Ray Computed |
Chemical Substances | Contrast Media |
Language | English |
Publishing date | 2000-01 |
Publishing country | United States |
Document type | Journal Article ; Multicenter Study ; Research Support, Non-U.S. Gov't |
ZDB-ID | 80324-8 |
ISSN | 1527-1315 ; 0033-8419 |
ISSN (online) | 1527-1315 |
ISSN | 0033-8419 |
DOI | 10.1148/radiology.214.1.r00ja1473 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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