title: Diffusion-weighted imaging and FDG PET/CT: predicting the prognoses with apparent diffusion coefficient values and maximum standardized uptake values in patients with invasive ductal carcinoma.
abstract: BACKGROUND
  FDG PET/CT and DWI are both functional modalities that indirectly represent the biological characteristics of cancer, but there are few studies exploring the association between the two modalities and prognostic factors. Our study attempted to evaluate the mutual association by comparing the prognostic factors, SUV(max) value of PET/CT, and ADC values associated with diffusion imaging in invasive ductal carcinoma (IDC) patients.
  
  
  METHODS
  Patients with pathologically confirmed IDC were recruited. There were 118 patients who underwent MRI, including DWI, FDG PET/CT, and immunohistochemical staining of the surgical specimen. Histologic analysis was done on tumor size, lymph node metastasis, expression of estrogen receptors (ER), progesterone receptors (PR), human epidermal growth factor receptor 2 (HER2), Ki-67, and epidermal growth factor receptors (EGFR). The relationship among ADC values, SUV(max) and prognostic factors were evaluated.
  
  
  RESULTS
  There was significant association between the ADC value and ER-positive and HER2-negative expression. Significant associations were noted between SUV(max) and tumor size, lymph node metastasis, histologic grade, ER and PR expression, EGFR and Ki-67. However, there was no significant correlation between the ADC value and SUV(max).
  
  
  CONCLUSIONS
  Even though there was no correlation between ADC and SUV(max), both indexes are useful for predicting the prognosis of IDC.
authors: Department of Radiology, Chungnam University Hospital, Chungnam, Korea.
authors: Bo Bae
authors: BB
authors: Choi
authors: Sung Hun
authors: SH
authors: Kim
authors: Bong Joo
authors: BJ
authors: Kang
authors: Ji Hye
authors: JH
authors: Lee
authors: Byung Joo
authors: BJ
authors: Song
authors: Seung Hee
authors: SH
authors: Jeong
authors: Hyeon Woo
authors: HW
authors: Yim
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000628:therapy; D018270:Carcinoma, Ductal, Breast / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000628:therapy; D002285:Carcinoma, Intraductal, Noninfiltrating / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000628:therapy; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D019788:Fluorodeoxyglucose F18; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007124:Immunoenzyme Techniques; D008207:Lymphatic Metastasis; D008875:Middle Aged; D064847:Multimodal Imaging; D060787:Neoplasm Grading; D049268:Positron-Emission Tomography; D011379:Prognosis; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000378:metabolism; D011960:Receptors, Estrogen / Q000378:metabolism; D011980:Receptors, Progesterone / Q000378:metabolism; D014057:Tomography, X-Ray Computed
chemical_list: D019788:Fluorodeoxyglucose F18; D018719:Erb-b2 Receptor Tyrosine Kinases; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone