title: The value of apparent diffusion coefficient in the assessment of cervical cancer.
abstract: OBJECTIVE
  To evaluate the potential value of apparent diffusion coefficient (ADC) measurement in the assessment of cervical cancer.
  
  
  METHODS
  One hundred twelve patients with cervical cancer and 67 control subjects underwent diffusion-weighted imaging (DWI) in addition to routine MR imaging at 3.0-T MRI before therapy. All ADCs were calculated from b = 0, 600 s/mm(2) and b = 0, 1,000 s/mm(2).
  
  
  RESULTS
  The ADCs of cervical cancer were significantly lower than those of normal cervix for both ADC maps. There was a statistically significant difference between the ADCs of well-/moderately differentiated (G1/2) tumours and poorly differentiated (G3) tumours, between the ADCs of squamous cell carcinoma and adenocarcinoma, between the pretherapy ADCs of tumour recurrence or metastasis and tumour free patients after radical hysterectomy for both ADC maps. There was no significant difference among the ADCs of cervical cancer when divided by other features (FIGO, lymph node status, tumour size and age groups) for both ADC maps.
  
  
  CONCLUSIONS
  ADC values were reliable for differentiating cervical cancer from normal cervix with high diagnostic accuracy. The ADCs can be used to indicate the degree and histological type of cervical cancer, although there is some overlap. G3 tumours and lower ADCs may indicate poor prognosis. The diagnostic accuracy was equal for both ADC maps.
authors.affiliation: Department of Radiology, The 174th Hospital of Chinese PLA, No 96, Wen Yuan Road, Xiamen, Fujian Province 361003, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Kuang
authors.forename: Jing
authors.initials: J
authors.lastname: Ren
authors.forename: Qun
authors.initials: Q
authors.lastname: Zhong
authors.forename: Fu
authors.initials: F
authors.lastname: Liyuan
authors.forename: Yi
authors.initials: Y
authors.lastname: Huan
authors.forename: Ziqian
authors.initials: Z
authors.lastname: Chen
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D002583:Uterine Cervical Neoplasms / Q000473:pathology*