title: Morphometric Analysis in the Diagnosis of Low-Grade Ductal and Lobular Carcinoma in Situ of the Breast.
abstract: OBJECTIVE
  To identify quantitative histological features that can differentiate between low grade ductal carcinoma in situ (LG-DCIS) and classic type lobular carcinoma in situ (C-LCIS).
  
  
  METHODS
  Regions of solid intraductal proliferation from scanned hematoxylin and eosin images of LG-DCIS (20 cases) and C-LCIS (25 cases) were analyzed using Mercator Version 1.0 (ExploraNova, La Rochelle, France). The system detects structures based on optical density. Multiple variables were measured, including estimators of size (mean nuclear area), shape (form factor), and staining (grayscale value). We also calculated the percentage that nuclei, cytoplasm, and white space represent in the total gland surface area.
  
  
  RESULTS
  C-LCIS showed higher mean nuclear area, higher percentage of nuclear area, higher nuclear and cytoplasmic grayscale values, and lower percentage of cytoplasm area as compared to LG-DCIS. Combination of these variables using a random forest learning algorithm classified correctly 80% of LG-DCIS cases and 69% of C-LCIS cases.
  
  
  CONCLUSIONS
  Morphometric analysis is potentially a useful ancillary tool in the distinction between low-grade ductal and lobular in situ proliferations of the breast.
authors: Carlos
authors: C
authors: Parra-Herran
authors: Tyna
authors: T
authors: Hope
authors: Taha
authors: T
authors: Rashed
authors: Elzbieta
authors: E
authors: Slodkowska
authors: Fang-I
authors: FI
authors: Lu
authors: Sharon
authors: S
authors: Nofech-Mozes
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis / Q000473:pathology*; D002278:Carcinoma in Situ / Q000473:pathology*; D002285:Carcinoma, Intraductal, Noninfiltrating / Q000175:diagnosis / Q000473:pathology*; D018275:Carcinoma, Lobular / Q000175:diagnosis / Q000473:pathology*; D002467:Cell Nucleus / Q000473:pathology; D005260:Female; D006801:Humans; D060787:Neoplasm Grading; D009361:Neoplasm Invasiveness