PMID- 35598713
OWN - NLM
STAT- MEDLINE
DCOM- 20220908
LR  - 20220908
IS  - 1873-1597 (Electronic)
IS  - 1572-1000 (Linking)
VI  - 39
DP  - 2022 Sep
TI  - Paracoccidioidomycosis screening diagnosis by FTIR spectroscopy and multivariate 
      analysis.
PG  - 102921
LID - S1572-1000(22)00207-1 [pii]
LID - 10.1016/j.pdpdt.2022.102921 [doi]
AB  - Paracoccidioidomycosis (PCM) is a systemic mycosis with high incidence in Latin 
      America, caused by species of the genus Paracoccidioides spp. Brazil is 
      considered to be the endemic center of this disease, which is identified as the 
      eighth cause of mortality from chronic infectious disease in the country. There 
      are several specific diagnostic methods in PCM, such as microbiological, 
      immunological, histopathological, and molecular. However, the standard laboratory 
      diagnosis depends mostly on fungus direct observation - the gold standard of PCM 
      diagnosis. The implementation of new technologies, such as Fourier Transform 
      Infrared (FTIR), can contribute to the clinical diagnosis trial of this disease. 
      Here, we evaluated a new strategy for the diagnosis of PCM by using blood serum 
      FTIR spectra from 20 patients with PCM and 20 healthy individuals. Machine 
      learning algorithms were able to provide an overall accuracy of 91.67% by using 
      Cubic SVM in the PCA data from FTIR results.
CI  - Copyright (c) 2022. Published by Elsevier B.V.
FAU - de Brito, Eliana C A
AU  - de Brito ECA
AD  - Department of Infectious and Parasitic Diseases, Faculty of Medicine - Federal 
      University of Mato Grosso do Sul - UFMS, Brazil.
FAU - Franca, Thiago
AU  - Franca T
AD  - Optics and Photonics Group, Institute of Physics, Federal University of Mato 
      Grosso do Sul - UFMS, Brazil.
FAU - Canassa, Thalita
AU  - Canassa T
AD  - Optics and Photonics Group, Institute of Physics, Federal University of Mato 
      Grosso do Sul - UFMS, Brazil.
FAU - Weber, Simone S
AU  - Weber SS
AD  - Faculty of Pharmaceutical Sciences, Food, and Nutrition, Federal University of 
      Mato Grosso do Sul - UFMS, Brazil.
FAU - Paniago, Anamaria M M
AU  - Paniago AMM
AD  - Department of Infectious and Parasitic Diseases, Faculty of Medicine - Federal 
      University of Mato Grosso do Sul - UFMS, Brazil.
FAU - Cena, Cicero
AU  - Cena C
AD  - Optics and Photonics Group, Institute of Physics, Federal University of Mato 
      Grosso do Sul - UFMS, Brazil. Electronic address: cicero.cena@ufms.br.
LA  - eng
PT  - Journal Article
DEP - 20220519
PL  - Netherlands
TA  - Photodiagnosis Photodyn Ther
JT  - Photodiagnosis and photodynamic therapy
JID - 101226123
SB  - IM
MH  - Brazil/epidemiology
MH  - Humans
MH  - Multivariate Analysis
MH  - *Paracoccidioides
MH  - *Paracoccidioidomycosis/diagnosis/drug therapy
MH  - *Photochemotherapy/methods
MH  - Spectroscopy, Fourier Transform Infrared
OTO - NOTNLM
OT  - Biofluids
OT  - Blood serum
OT  - FTIR spectroscopy
OT  - Multivariate analysis
OT  - Paracoccidioidomycosis
EDAT- 2022/05/23 06:00
MHDA- 2022/09/09 06:00
CRDT- 2022/05/22 19:24
PHST- 2022/03/21 00:00 [received]
PHST- 2022/05/17 00:00 [revised]
PHST- 2022/05/18 00:00 [accepted]
PHST- 2022/05/23 06:00 [pubmed]
PHST- 2022/09/09 06:00 [medline]
PHST- 2022/05/22 19:24 [entrez]
AID - S1572-1000(22)00207-1 [pii]
AID - 10.1016/j.pdpdt.2022.102921 [doi]
PST - ppublish
SO  - Photodiagnosis Photodyn Ther. 2022 Sep;39:102921. doi: 
      10.1016/j.pdpdt.2022.102921. Epub 2022 May 19.