B. Zhou et al., Discrimination of esophageal dysplasia with progression and nonprogression- High-resolution image analysis for surrogate end point biomarkers, ANAL QUAN C, 20(6), 1998, pp. 500-508
Citations number
32
Categorie Soggetti
Medical Research Diagnosis & Treatment
Journal title
ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY
OBJECTIVE: To detect textural nuclear features correlated with nonprogressi
on and progression in esophageal dysplasia.
STUDY DESIGN: Asymptomatic adults from Heshun Commune, Linxian County, Chin
a were examined with a balloon sampler in 1983 fifty cases of moderate esop
hageal dysplasia and 68 cases of mim were selected for study. By means of a
n Axiomat microscope equipped with a TV camera, 100 visually normal interme
diate squamous cell nuclei per specimen were randomly measured from routine
ly 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 rema
ined stable or regressed to normal and were used as the control group. By m
eans 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, respec
tively (P <.001). Of 68 cases classified as mild dysplasia, IG, 13 and 12 p
rogressed to carcinoma within three, five and nine years, respectively, nle
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).
CONCLUSION: In this study, nuclear chromatin features measured by high-reso
lution image analysis could sufficiently well forecast the outcome of preca
ncerous lesions and discriminate precancerous lesions with progression and
nonprogression. It also can be employed as surrogate end point biomarkers i
n clinical chemoprevention trials. Stoichiometric staining and standard pre
parations should increase the correct classification rates in further studi
es.