Radiology · 2004 · 252 citations · 10 references
MedicineOncologyRadiologyCancer ScreeningDiagnostic ImagingDiagnostic RadiologyCancer DetectionCancer DiagnosisComputed TomographyLung CancerPulmonary ImagingPulmonary Nodule EvaluationGround-glass Nodule EvaluationGround-glass Opacity AssessmentGround-glass Opacity PatternsNodule Margin AnalysisNodule Morphology AssessmentOpacityPositive Predictive ValuePulmonary Nodule Diagnosis
PURPOSE: To evaluate thin-section computed tomographic (CT) characteristics of malignant nodules on the basis of overall appearance (pure ground-glass opacity [GGO], mixed GGO, or solid opacity) in comparison with the appearance of benign nodules. MATERIALS AND METHODS: Institutional review board approval and patient consent were obtained. Follow-up diagnostic CT was performed in 747 suspicious pulmonary nodules detected at low-dose CT screening (17 892 examinations). Of 747 nodules, 222 were evaluated at thin-section CT (1-mm collimation), which included 59 cancers and 163 benign nodules (3-20 mm). Thin-section CT findings of malignant versus benign nodules with pure GGO (17 vs 12 lesions), mixed GGO (27 vs 29 lesions), or solid opacity (15 vs 122 lesions) were analyzed. Fisher exact test for independence was used to compare differences in shape, margin, and internal features between benign and malignant nodules. Positive predictive value (PPV) was analyzed when a category was significantly different from the others. RESULTS: Among nodules with pure GGO, a round shape was found more frequently in malignant lesions (11 of 17, 65%) than in benign lesions (two of 12, 17%; P = .02; PPV, 85%); mixed GGO, a subtype with GGO in the periphery and a high-attenuation zone in the center, was seen much more often in malignant lesions (11 of 27, 41%) than in benign lesions (two of 29, 7%; P = .004; PPV, 85%). Among solid nodules, a polygonal shape or a smooth or somewhat smooth margin was present less frequently in malignant than in benign lesions (polygonal shape: 7% vs 38%, P = .02; smooth or somewhat smooth margin: 0% vs 63%, P < .001), and 98% (46 of 47) of polygonal nodules and 100% (77 of 77) of nodules with a smooth or somewhat smooth margin were benign. CONCLUSION: Recognition of certain characteristics at thin-section CT can be helpful in differentiating small malignant nodules from benign nodules.
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Claudia I. Henschke, David F. Yankelevitz, Rosna Mirtcheva et al. · American Journal of Roentgenology · 2002 · 911 citations
Solitary pulmonary nodule: high-resolution CT and radiologic-pathologic correlation.
Charles Zwirewich, Sverre Vedal, Roberta R. Miller et al. · Radiology · 1991 · 532 citations
Solitary pulmonary nodules: CT assessment.
S S Siegelman, Nagi F. Khouri, Frank P. Leo et al. · Radiology · 1986 · 371 citations
CT of the pulmonary nodule: a cooperative study.
Elias A. Zerhouni, Frederick P. Stitik, S S Siegelman et al. · Radiology · 1986 · 320 citations
Shodayu Takashima, Shusuke Sone, Feng Li et al. · American Journal of Roentgenology · 2003 · 183 citations