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Solitary pulmonary nodule: high-resolution CT and radiologic-pathologic correlation
C V Zwirewich1, S Vedal, R R Miller
1Department of Radiology, University of British Columbia, Vancouver, Canada.
Radiology
|May 1, 1991
Summary
High-resolution computed tomography (HRCT) features like spiculated contours and lobulation can help differentiate malignant pulmonary nodules from benign ones. These HRCT findings correlate with pathological characteristics, aiding in diagnosis.
Area of Science:
- Pulmonary Medicine
- Radiology
- Oncology
Background:
- Pulmonary nodules are common findings on chest imaging.
- Accurate differentiation between benign and malignant nodules is crucial for patient management.
- High-resolution computed tomography (HRCT) provides detailed imaging of lung structures.
Purpose of the Study:
- To correlate HRCT-identified edge and internal characteristics of pulmonary nodules with pathological findings.
- To determine the diagnostic value of specific HRCT features in distinguishing benign from malignant pulmonary nodules.
Main Methods:
- Retrospective analysis of HRCT scans from 93 patients with pulmonary nodules.
- Correlation of imaging features with histopathological examination of resected specimens.
- Statistical analysis to compare the frequency of features in benign versus malignant nodules.
Main Results:
- Spiculation, lobulation, and inhomogeneous attenuation were significantly more common in malignant nodules.
- Pleural tags and bubblelike areas of low attenuation were also more frequent in malignant lesions.
- Malignant nodules were generally larger than benign nodules.
Conclusions:
- HRCT features such as spiculated contour, lobulation, and inhomogeneous attenuation are valuable indicators of malignancy in pulmonary nodules.
- Pathological correlation confirms that these imaging findings represent specific tumor growth patterns or associated fibrotic changes.
- HRCT is a powerful tool for characterizing pulmonary nodules and guiding further diagnostic or therapeutic decisions.