title: Discrimination of esophageal dysplasia with progression and nonprogression. High-resolution image analysis for surrogate end point biomarkers.
abstract: OBJECTIVE
  To detect textural nuclear features correlated with nonprogression and progression in esophageal dysplasia.
  
  
  METHODS
  Asymptomatic adults from Heshun Commune, Linxian County, China were examined with a balloon sampler in 1983 fifty cases of moderate esophageal dysplasia and 68 cases of mild were selected for study. By means of an Axiomat microscope equipped with a TV camera, 100 visually normal intermediate squamous cell nuclei per specimen were randomly measured from routinely Papanicolaou-stained slides.
  
  
  RESULTS
  Of 50 esophageal moderate dysplasia cases, 24 and 7 progressed to carcinoma within three and nine years, respectively. The other 19 cases remained stable or regressed to normal and were used as the control group. By means of chromatin features, correct specimen classification rates of 79.2% (19/24), 73.7% (14/19), 85.5% (6/7) and 84.2% (16/19) were achieved, respectively (P < .001). Of 68 cases classified as mild dysplasia, 16, 13 and 12 progressed to carcinoma within three, five and nine years, respectively. The other 27 cases remained stable or regressed to normal and were used as the control group. The correct specimen classification rates were 93.8% (15/16), 88.9% (24/27), 69.2% (9/13), 74.1% (20/27), 83.3% (10/12) and 77.8% (21/27), respectively, using chromatin features of the nuclei (P < .001).
  
  
  CONCLUSIONS
  In this study, nuclear chromatin features measured by high-resolution image analysis could sufficiently well forecast the outcome of precancerous lesions and discriminate precancerous lesions with progression and nonprogression. It also can be employed as surrogate end point biomarkers in clinical chemoprevention trials. Stoichiometric staining and standard preparations should increase the correct classification rates in further studies.
authors.affiliation: Cancer Institute (Hospital), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
authors.forename: B
authors.initials: B
authors.lastname: Zhou
authors.forename: U
authors.initials: U
authors.lastname: Jütting
authors.forename: K
authors.initials: K
authors.lastname: Rodenacker
authors.forename: P
authors.initials: P
authors.lastname: Gais
authors.forename: P Z
authors.initials: PZ
authors.lastname: Lin
mesh_terms: D000328:Adult; D000368:Aged; D002467:Cell Nucleus / Q000648:ultrastructure; D004935:Esophageal Diseases / Q000473:pathology*; D004938:Esophageal Neoplasms / Q000145:classification / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D009365:Neoplasm Regression, Spontaneous; D011230:Precancerous Conditions / Q000145:classification / Q000473:pathology*; D011379:Prognosis; D013997:Time Factors