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Diffusion tensor imaging in the normal breast: influences of fibroglandular tissue composition and background parenchymal enhancement.
Plaza, Michael Jonathan; Morris, Elizabeth A; Thakur, Sunitha B.
Afiliação
  • Plaza MJ; Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY 10065. Electronic address: Michael.j.plaza@gmail.com.
  • Morris EA; Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY 10065. Electronic address: morrise@mskcc.org.
  • Thakur SB; Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY 10065. Electronic address: thakurs@mskcc.org.
Clin Imaging ; 40(3): 506-11, 2016.
Article em En | MEDLINE | ID: mdl-27133695
ABSTRACT

OBJECTIVE:

To evaluate effects of fibroglandular tissue (FGT) composition and background parenchymal enhancement (BPE) on diffusion tensor imaging (DTI) parameters in normal breast tissue.

METHODS:

DTI analysis was performed on 35 breasts with regions of interest drawn to include only normal tissue. Breasts were dichotomized by FGT composition and by BPE; DTI parameters were compared.

RESULTS:

The λ1 principal diffusion coefficient was lower in breasts with moderate/marked BPE versus those with minimal/mild BPE (P=.039). All other parameters were unaffected.

CONCLUSION:

λ1 is sensitive to differences in BPE within normal breast tissue that should be taken into account in DTI evaluation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Imagem de Tensor de Difusão Tipo de estudo: Observational_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: Clin Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mama / Imagem de Tensor de Difusão Tipo de estudo: Observational_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: Clin Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2016 Tipo de documento: Article