title: Whole-Lesion Histogram Analysis of Apparent Diffusion Coefficient for the Assessment of Cervical Cancer.
abstract: OBJECTIVE
  The aim of this study was to explore the application of whole-lesion histogram analysis of apparent diffusion coefficient (ADC) values of cervical cancer.
  
  
  METHODS
  A total of 54 women (mean age, 53 years) with cervical cancers underwent 3-T diffusion-weighted imaging with b values of 0 and 800 s/mm prospectively. Whole-lesion histogram analysis of ADC values was performed. Paired sample t test was used to compare differences in ADC histogram parameters between cervical cancers and normal cervical tissues. Receiver operating characteristic curves were constructed to identify the optimal threshold of each parameter.
  
  
  RESULTS
  All histogram parameters in this study including ADCmean, ADCmin, ADC10%-ADC90%, mode, skewness, and kurtosis of cervical cancers were significantly lower than those of normal cervical tissues (all P < 0.0001). ADC90% had the largest area under receiver operating characteristic curve of 0.996.
  
  
  CONCLUSIONS
  Whole-lesion histogram analysis of ADC maps is useful in the assessment of cervical cancer.
authors.affiliation: From the *School of Electronic Science and Engineering, Nanjing University; and †Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
authors.forename: Yue
authors.initials: Y
authors.lastname: Guan
authors.forename: Hua
authors.initials: H
authors.lastname: Shi
authors.forename: Ying
authors.initials: Y
authors.lastname: Chen
authors.forename: Song
authors.initials: S
authors.lastname: Liu
authors.forename: Weifeng
authors.initials: W
authors.lastname: Li
authors.forename: Zhuoran
authors.initials: Z
authors.lastname: Jiang
authors.forename: Huanhuan
authors.initials: H
authors.lastname: Wang
authors.forename: Jian
authors.initials: J
authors.lastname: He
authors.forename: Zhengyang
authors.initials: Z
authors.lastname: Zhou
authors.forename: Yun
authors.initials: Y
authors.lastname: Ge
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002584:Cervix Uteri / Q000473:pathology; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D011446:Prospective Studies; D012372:ROC Curve; D002583:Uterine Cervical Neoplasms / Q000473:pathology*; D055815:Young Adult