title: Do pathological parameters differ with regard to breast density and mode of detection in breast cancer? The Malmö Diet and Cancer Study.
abstract: Our aim was to study how breast density relates to tumor characteristics in breast cancer with emphasis on mode of detection. Among 17,035 women in the Malmö Diet and Cancer Study 826 incident cases have been diagnosed (1991-2007). Data on tumor characteristics, mode of detection, and density at diagnosis were collected. Associations between density and tumor characteristics were analyzed using logistic and ordinal logistic regression models yielding OR and 95% CI. Adjustments for age at diagnosis, BMI at baseline, and the mode of detection, were performed. In denser breasts, large tumor size was more frequent (ORadj 1.59 (1.26-2.01)) as was lymph node involvement (ORadj 1.32 (1.00-1.74)). Further, the higher the density, the lower the grade (ORadj 0.73 (0.53-1.02) for having higher grade), in screening-detected invasive breast cancer. Our findings stress the importance of considering the impact of density in mammography image interpretation and the possible associations with tumor aggressiveness.
authors.affiliation: Diagnostic Radiology, Department of Clinical Sciences, Malmö, Lund University, Inga Marie Nilssons gata 49, SE-205 02 Malmö, Sweden; Department of Medical Imaging and Physiology Medicine, Skåne University Hospital, Inga Marie Nilssons gata 49, SE-205 02 Malmö, Sweden. Electronic address: hanna.sartor@med.lu.se.
authors.forename: Hanna
authors.initials: H
authors.lastname: Sartor
authors.affiliation: Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, SE-221 85 Lund, Sweden; Department of Oncology, Skåne University Hospital, Sweden. Electronic address: signe.borgquist@med.lu.se.
authors.forename: Signe
authors.initials: S
authors.lastname: Borgquist
authors.affiliation: Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, SE-221 85 Lund, Sweden; Regional Cancer Center South, Lund, Sweden. Electronic address: linda.werner_hartman@med.lu.se.
authors.forename: Linda
authors.initials: L
authors.lastname: Hartman
authors.affiliation: Diagnostic Radiology, Department of Clinical Sciences, Malmö, Lund University, Inga Marie Nilssons gata 49, SE-205 02 Malmö, Sweden; Department of Medical Imaging and Physiology Medicine, Skåne University Hospital, Inga Marie Nilssons gata 49, SE-205 02 Malmö, Sweden. Electronic address: sophia.zackrisson@med.lu.se.
authors.forename: Sophia
authors.initials: S
authors.lastname: Zackrisson
mesh_terms: D017668:Age of Onset; D000368:Aged; D000369:Aged, 80 and over; D001940:Breast / Q000473:pathology*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D055088:Early Detection of Cancer; D005260:Female; D006801:Humans; D016015:Logistic Models; D008327:Mammography; D008875:Middle Aged; D060787:Neoplasm Grading; D011446:Prospective Studies; D013548:Sweden; D047368:Tumor Burden
keywords: Breast cancer; Breast density; Mammography; Mode of detection; Pathological tumor characteristics