title: Trends in mastectomy rates at the Mayo Clinic Rochester: effect of surgical year and preoperative magnetic resonance imaging.
abstract: OBJECTIVE
  Recent changes have occurred in the presurgical planning for breast cancer, including the introduction of preoperative breast magnetic resonance imaging (MRI). We sought to analyze the trends in mastectomy rates and the relationship to preoperative MRI and surgical year at Mayo Clinic, Rochester, MN.
  
  
  METHODS
  We identified 5,405 patients who underwent surgery between 1997 and 2006. Patients undergoing MRI were identified from a prospective database. Trends in mastectomy rate and the association of MRI with surgery type were analyzed. Multiple logistic regression was used to assess the effect of surgery year and MRI on surgery type, while adjusting for potential confounding variables.
  
  
  RESULTS
  Mastectomy rates differed significantly across time (P < .0001), and decreased from 45% in 1997% to 31% in 2003, followed by increasing rates for 2004 to 2006. The use of MRI increased from 10% in 2003% to 23% in 2006 (P < .0001). Patients with MRI were more likely to undergo mastectomy than those without MRI (54% v 36%; P < .0001). However, mastectomy rates increased from 2004 to 2006 predominantly among patients without MRI (29% in 2003% to 41% in 2006; P < .0001). In a multivariable model, both MRI (odds ratio [OR], 1.7; P < .0001) and surgical year (compared to 2003 OR: 1.4 for 2004, 1.8 for 2005, and 1.7 for 2006; P < .0001) were independent predictors of mastectomy.
  
  
  CONCLUSIONS
  After a steady decline, mastectomy rates have increased in recent years with both surgery year and MRI as significant predictors for type of surgery. Further studies are needed to evaluate the role of MRI and other factors influencing surgical planning.
authors.affiliation: Department of Oncology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
authors.forename: Rajini
authors.initials: R
authors.lastname: Katipamula
authors.forename: Amy C
authors.initials: AC
authors.lastname: Degnim
authors.forename: Tanya
authors.initials: T
authors.lastname: Hoskin
authors.forename: Judy C
authors.initials: JC
authors.lastname: Boughey
authors.forename: Charles
authors.initials: C
authors.lastname: Loprinzi
authors.forename: Clive S
authors.initials: CS
authors.lastname: Grant
authors.forename: Kathleen R
authors.initials: KR
authors.lastname: Brandt
authors.forename: Sandhya
authors.initials: S
authors.lastname: Pruthi
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Chute
authors.forename: Janet E
authors.initials: JE
authors.lastname: Olson
authors.forename: Fergus J
authors.initials: FJ
authors.lastname: Couch
authors.forename: James N
authors.initials: JN
authors.lastname: Ingle
authors.forename: Matthew P
authors.initials: MP
authors.lastname: Goetz
mesh_terms: D001943:Breast Neoplasms / Q000473:pathology / Q000601:surgery*; D019992:Databases as Topic; D005260:Female; D006801:Humans; D016015:Logistic Models; D008279:Magnetic Resonance Imaging / Q000639:trends*; D008408:Mastectomy / Q000639:trends*; D008875:Middle Aged; D008910:Minnesota; D009367:Neoplasm Staging; D016017:Odds Ratio; D018579:Patient Selection; D011300:Preoperative Care; D012189:Retrospective Studies; D013997:Time Factors