title: Dynamic enhanced MRI predicts chemosensitivity in breast cancer patients.
abstract: BACKGROUND
  Primary chemotherapy for breast cancer is effective as postoperative adjuvant therapy. However, one of the critical disadvantages was a treatment delay for patients with progressive disease. The present study attempts to clarify quantitative parameters on MRI which can be used to predict the sensitivity to treatment in breast cancer patients.
  
  
  METHODS
  The subjects consisted of 26 patients with invasive ductal breast cancer who received primary chemotherapy before surgery. The mean maximum tumor dimension was 3.3cm, and 21 cases had nodal involvements. Three cases demonstrated histological grade 3. Dynamic enhanced MRI was evaluated at three different time periods; prior to, in the midst of preoperative chemotherapy, and just before the initial operation. The signal intensity ratio (SIR) and early contrast uptake (ECU) were calculated, as well as the correlation between these dynamic data and the tumor reduction rates were analyzed retrospectively. P-values of less than 0.05 were considered to indicate statistically significant.
  
  
  RESULTS
  Responders to chemotherapy had the significantly higher SIR and ECU values than non-responders (p=0.0454 and 0.0334, respectively). ECU value significantly decreased as tumor reduction by chemotherapy (p=0.0028). Pathological tumor dimension was significantly correlated with the tumor size estimated on presurgical MRI (p<0.0001).
  
  
  CONCLUSIONS
  Our current series demonstrated the significant correlation between pretreatment MRI data and tumor reduction by chemotherapy in breast cancer patients. With these results, it seems possible to define good and non-responders prior to treatment.
authors.affiliation: Department of General Surgery, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba 260-0856, Japan. nagasima-cib@umin.ac.jp
authors.forename: Takeshi
authors.initials: T
authors.lastname: Nagashima
authors.forename: Masahiro
authors.initials: M
authors.lastname: Sakakibara
authors.forename: Rikiya
authors.initials: R
authors.lastname: Nakamura
authors.forename: Manabu
authors.initials: M
authors.lastname: Arai
authors.forename: Masami
authors.initials: M
authors.lastname: Kadowaki
authors.forename: Toshiki
authors.initials: T
authors.lastname: Kazama
authors.forename: Yukio
authors.initials: Y
authors.lastname: Nakatani
authors.forename: Keiji
authors.initials: K
authors.lastname: Koda
authors.forename: Masaru
authors.initials: M
authors.lastname: Miyazaki
mesh_terms: D000328:Adult; D000368:Aged; D000970:Antineoplastic Agents / Q000627:therapeutic use*; D014408:Biomarkers, Tumor / Q000096:biosynthesis / Q000097:blood; D001943:Breast Neoplasms / Q000188:drug therapy* / Q000473:pathology* / Q000601:surgery; D018270:Carcinoma, Ductal, Breast / Q000188:drug therapy* / Q000473:pathology* / Q000601:surgery; D017024:Chemotherapy, Adjuvant; D003287:Contrast Media / Q000008:administration & dosage / Q000378:metabolism; D005260:Female; D006801:Humans; D007089:Image Enhancement; D008279:Magnetic Resonance Imaging; D008408:Mastectomy; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D018365:Neoplasm, Residual; D011237:Predictive Value of Tests; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000096:biosynthesis / Q000097:blood; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D016896:Treatment Outcome
chemical_list: D000970:Antineoplastic Agents; D014408:Biomarkers, Tumor; D003287:Contrast Media; D018719:Erb-b2 Receptor Tyrosine Kinases