title: Morphometrical malignancy grading is a valuable prognostic factor in invasive ductal breast cancer.
abstract: The aim of the present study is to augment the prognostic power of breast cancer grading by elaboration of quantitative histopathological methods. We focus on the recently introduced morphometrical grading system in which the three grading sub-features of the WHO grading system are evaluated with the help of computerised nuclear morphometry, and quantitative methods for assessing mitotic activity and tubular differentiation. The prognostic value of the morphometrical grading system is now confirmed in a material of 159 cases of invasive ductal breast cancer. In the current material the morphometrical grading system very efficiently predicted the prognosis of breast cancer by dividing the patients into favourable (grade I), intermediate (grade II), and unfavourable (grade III) outcome (P<0.0001). The morphometrical grading system was especially efficient in identifying patients with the most unfavourable outcome. In our material the morphometrical grade III was associated with a 5.4-fold risk of breast cancer death. In light of the present results, the morphometrical grading can be applied to clinical use as an aid in treatment decisions of patients with invasive ductal breast cancer.
authors.affiliation: Department of Pathology, University of Turku, Turku, Finland. pauliina.kronqvist@tyks.fi
authors.forename: P
authors.initials: P
authors.lastname: Kronqvist
authors.forename: T
authors.initials: T
authors.lastname: Kuopio
authors.forename: P
authors.initials: P
authors.lastname: Jalava
authors.forename: Y
authors.initials: Y
authors.lastname: Collan
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000886:Anthropometry; D001943:Breast Neoplasms / Q000145:classification* / Q000473:pathology*; D018270:Carcinoma, Ductal, Breast / Q000145:classification* / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D009367:Neoplasm Staging / Q000379:methods*; D011237:Predictive Value of Tests; D011379:Prognosis