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A scoping study of pulmonary paracoccidioidomycosis: severity classification based on radiographic and tomographic evaluation.

Sergio Marrone RibeiroThiago Franchi NunesRicardo de Souza CavalcanteAnamaria Mello Miranda PaniagoBeatriz Aparecida Soares PereiraRinaldo Pôncio Mendes
Published in: The journal of venomous animals and toxins including tropical diseases (2022)
The lungs have great importance in patients with paracoccidioidomycosis since they are the portal of entry for the infecting fungi, the site of quiescent foci, and one of the most frequently affected organs. Although they have been the subject of many studies with different approaches, the severity classification of the pulmonary involvement, using imaging procedures, has not been carried out yet. This study aimed to classify the active and the residual pulmonary damage using radiographic and tomographic evaluations, according to the area involved and types of lesions.
Keyphrases
  • pulmonary hypertension
  • machine learning
  • deep learning
  • high resolution
  • oxidative stress
  • photodynamic therapy
  • finite element