title: Clinical applicability and relevance of fibroglandular tissue segmentation on routine T1 weighted breast MRI.
abstract: OBJECTIVE
  To evaluate clinical applicability of fibroglandular tissue (FGT) segmentation on routine T1 weighted breast MRI and compare FGT quantification with radiologist assessment.
  
  
  METHODS
  FGT was segmented on 232 breasts and quantified, and was assessed qualitatively by four breast imagers.
  
  
  RESULTS
  FGT segmentation was successful in all 232 breasts. Agreement between radiologists and quantified FGT was moderate to substantial (kappa=0.52-0.67); lower quantified FGT was associated with disagreement between radiologists and quantified FGT (P≤0.002).
  
  
  CONCLUSIONS
  FGT segmentation was successful using routine T1 weighted breast MRI. Radiologists were less consistent with quantified results in breasts with lower quantified FGT.
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA. Electronic address: apujara@gmail.com.
authors.forename: Akshat C
authors.initials: AC
authors.lastname: Pujara
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA; Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, 4th Floor, New York, NY 10016, USA. Electronic address: artemmikheev@gmail.com.
authors.forename: Artem
authors.initials: A
authors.lastname: Mikheev
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA; Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, 4th Floor, New York, NY 10016, USA. Electronic address: hr18@nyu.edu.
authors.forename: Henry
authors.initials: H
authors.lastname: Rusinek
authors.affiliation: Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, 4th Floor, New York, NY 10016, USA. Electronic address: Harikrishna.Rallapalli@nyumc.org.
authors.forename: Harikrishna
authors.initials: H
authors.lastname: Rallapalli
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA; Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, 4th Floor, New York, NY 10016, USA. Electronic address: Jerzy.Walczyk@nyumc.org.
authors.forename: Jerzy
authors.initials: J
authors.lastname: Walczyk
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA; Perlmutter Cancer Center, New York University School of Medicine, 160 East 34th Street, New York, NY 10016, USA. Electronic address: Yiming.Gao@nyumc.org.
authors.forename: Yiming
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA; Perlmutter Cancer Center, New York University School of Medicine, 160 East 34th Street, New York, NY 10016, USA. Electronic address: Chloe.Chhor@nyumc.org.
authors.forename: Chloe
authors.initials: C
authors.lastname: Chhor
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA; Perlmutter Cancer Center, New York University School of Medicine, 160 East 34th Street, New York, NY 10016, USA. Electronic address: Kristine.Pysarenko@nyumc.org.
authors.forename: Kristine
authors.initials: K
authors.lastname: Pysarenko
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA; Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, 4th Floor, New York, NY 10016, USA. Electronic address: James.Babb@nyumc.org.
authors.forename: James S
authors.initials: JS
authors.lastname: Babb
authors.affiliation: Department of Radiology, New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA; Perlmutter Cancer Center, New York University School of Medicine, 160 East 34th Street, New York, NY 10016, USA. Electronic address: Amy.Melsaether@nyumc.org.
authors.forename: Amy N
authors.initials: AN
authors.lastname: Melsaether
mesh_terms: D001940:Breast / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*
keywords: Breast; Fibroglandular tissue (FGT); Magnetic resonance imaging (MRI); Quantification; Segmentation