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Usefulness of chest perfusion computed tomography in the diagnosis of diabetic pulmonary microangiopathy

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Języki publikacji
EN
Abstrakty
EN
This paper presents the usefulness of perfusion computed tomography (pCT) in the diagnosis of diabetic pulmonary microangiopathy. Our previous works have shown that perfusion parameters are useful in the diagnosis of diabetic pulmonary microangiopathy. We are looking for such measurements and perfusion parameters that provide the most accurate diagnosis. Two types of comparison were made based on the results of clinical trials: non-diabetic vs. diabetic and diabetes without microangiopathy vs. diabetes with microangiopathy. Our studies have shown that PS (permeability surface) is only perfusion parameter statistically significant. In certain regions of interest logistic regression as a classifier produces very good results in diagnosing lung microangiopathy: sensitivity Sens = 89% and excellent specificity Spec = 100%. The results were obtained on the base of measurements taken from 23 subjects. These results were compared with results reported in the literature and based on diffusion capacity and spirometry measurements and modeling. None of the previous results was as good as those obtained using the PS and logistic regression for binary classification.
Twórcy
autor
  • Department of Biomedical Engineering, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 11/12 Gabriela Narutowicza St., 80-233 Gdańsk, Poland
  • Department of Biomedical Engineering, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 11/12 Gabriela Narutowicza St., 80-233 Gdańsk, Poland
autor
  • Department of Electrical and Power Engineering, Faculty of Technical Sciences, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
Bibliografia
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  • [2] Kuziemski K, Górska L, Jassem E, Madej-Dmochowska A. Lung microangiopathy in diabetes. Pneumonol Alergol Pol 2009;77(4):394–9.
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  • [5] Eastwood JD, Lev MH, Azhari T, Lee TY, Barboriak DP, Delong DM, et al. CT perfusion scanning with deconvolution analysis: pilot study in patients with acute middle cerebral artery stroke. Radiology 2002;222(1):227–36.
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  • [12] Kalicka R, Kuziemski K. Novel methods for diagnosis of pulmonary microangiopathy in diabetes mellitus. In: Irusen EM, editor. Lung diseases – selected state of the art reviews. InTech. DOI: 10.5772/29277, ISBN: 978-953-51-0180-2. Available from: http://www.intechopen.com/books/lung-diseases-selected- state-of-the-art-reviews/novel-methods-for-diagnosis-of- pulmonary-microangiopathy-in-diabetes-mellitus [last access 04.05.14].
  • [13] Brodersen KH, Ong CS, Stephan KE, Buhmann JM. The balanced accuracy and its posterior distribution. Proc 20th Intere Conf on Pattern Recognition (ICPR) 23–26 Aug; 2010.
  • [14] Fawcett T. An introduction to ROC analysis. Pattern Recogn Lett 2006;27(8):861–74.
  • [15] Kalicka R, Słomiński W, Kuziemski K. Modelling of diffusing capacity measurement results in lung microangiopathy patients: a novel pulmonary diagnostic support. Methods Inform Med 2012;51(1):21–8.
  • [16] Wintermark M, Maeder P, Thiran JP, Schnyder P, Meuli R. Quantitative assessment of regional cerebral blood flows by perfusion CT studies at low injection rates: a critical review of the underlying theoretical models. Eur Radiol 2001;11 (7):1220–30.
Typ dokumentu
Bibliografia
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