Usefulness of morphological characteristics for the differentiation of benign from malignant solitary pulmonary lesions using HRCT
Creators
- 1. Dept. of Diagnostic Radiology, Klinikum Grosshadern, Muenchen (Germany)
- 2. Department of Medicine II, Hospital Charite, Berlin (Germany)
- 3. Department of Surgery, Klinikum Grosshadern, Muenchen (Germany)
Description
The aim of this study was to analyze different characteristics on high-resolution computed tomography (HRCT) that help differentiate benign solitary pulmonary lesions (BSPLs) from malignant solitary pulmonary lesions (MSPLs). High-resolution computed tomography was performed on 104 consecutive patients with SPLs. The whole lesion was examined with a slice thickness of 1 mm and a 12-cm field of view. All lesions were surgically excised within 24 h of the CT examination. Satellite nodules, cavitations, and necrosis were found only in MSPLs. Useful characteristics for the differentiation of BSPLs from MSPLs were the presence of spicules (p < 0.00005), spicules extending to the visceral pleura (p < 0.0005), the vessel sign (p < 0.0005), pleural retraction (p < 0.001), circumscribed pleural thickening (p < 0.001), the bronchus sign (p < 0.005), the presence of ground-glass attenuation adjacent to the SPL (p < 0.01), the density of the lesion (p < 0.05), and the length of spicules (p < 0.05). Using the significant characteristics p < 0.01 for the identification of MSPLs, a sensitivity of 91.4 % and a specificity of 56.5 % (accuracy of 83.7 %) was found. A precise morphological assessment of the periphery of the pulmonary lesion is necessary. The HRCT technique is useful in differentiation of BSPLs from MSPLs. However, metastases strongly resembled benign lesions in terms of size and edge type, and chronic inflammatory pseudotumors as a group mimic MSPLs. (orig.)
Additional details
Publishing Information
- Journal Title
- European Radiology
- Journal Volume
- 9
- Journal Issue
- 3
- Journal Page Range
- p. 409-417
- ISSN
- 0938-7994
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 30017309
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- COMPUTERIZED TOMOGRAPHY; INFLAMMATION; MORPHOLOGICAL CHANGES; NEOPLASMS; RESPIRATORY SYSTEM DISEASES
- Descriptors DEC
- DISEASES; PATHOLOGICAL CHANGES; TOMOGRAPHY
Optional Information
- Notes
- With 3 figs., 4 tabs., 22 refs.