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European Radiology

, Volume 9, Issue 3, pp 409–417 | Cite as

Usefulness of morphological characteristics for the differentiation of benign from malignant solitary pulmonary lesions using HRCT

  • M. D. Seemann
  • A. Staebler
  • T. Beinert
  • H. Dienemann
  • B. Obst
  • M. Matzko
  • C. Pistitsch
  • M. F. Reiser
Chest Radiology

Abstract.

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.

Key words. Lung Lung nodule Lung neoplasms High-resolution CT 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • M. D. Seemann
    • 1
  • A. Staebler
    • 1
  • T. Beinert
    • 3
  • H. Dienemann
    • 2
  • B. Obst
    • 1
  • M. Matzko
    • 1
  • C. Pistitsch
    • 1
  • M. F. Reiser
    • 1
  1. 1.Department of Diagnostic Radiology, Klinikum Grosshadern, University of Munich, Marchioninistrasse 15, D-81377 Munich, GermanyDE
  2. 2.Department of Surgery, Klinikum Grosshadern, University of Munich, Marchioninistrasse 15, D-81377 Munich, GermanyDE
  3. 3.Department of Medicine II, Hospital Charité, University of Berlin, Berlin, GermanyDE

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