title: Desmoplasia measured by computer assisted image analysis: an independent prognostic marker in colorectal carcinoma.
abstract: OBJECTIVE
  The assessment of desmoplasia by traditional semiquantitative methods does not provide reliable prognostic data. The aim of this study was to quantify desmoplasia by computerised image analysis in primary colorectal carcinomas and to investigate its ability to predict overall survival.
  
  
  METHODS
  In total, 112 colorectal adenocarcinomas, with a median follow up of 66 months, were studied. The representative tumour sections were stained by the van Gieson method, which stains collagen rich stroma red. For quantitative histochemical measurement, digital images were analysed by a computerised image analysis program to calculate the percentage of red stained tissue area. The percentage of desmoplasia (PD) was related to conventional clinicopathological prognostic factors and overall survival.
  
  
  RESULTS
  The mean (SD) PD was 4.85 (3.37). PD was found to be significantly associated with lymph vessel and venous invasion. By Kaplan-Meier analysis, PD was associated with survival-patients with PD > 4 had a shorter survival than those with PD </= 4. In multivariate analysis, tumour stage, distant metastasis, and PD emerged as independent prognostic factors.
  
  
  CONCLUSIONS
  Desmoplasia measured by image analysis seems to be a significant prognostic indicator in patients with colorectal carcinoma and the improved method described in this study would be useful for routine prognostication.
authors.affiliation: Department of Pathology, Dokuz Eylül University School of Medicine, Inciralti, Izmir 35340, Turkey.
authors.forename: B
authors.initials: B
authors.lastname: Sis
authors.forename: S
authors.initials: S
authors.lastname: Sarioglu
authors.forename: S
authors.initials: S
authors.lastname: Sokmen
authors.forename: M
authors.initials: M
authors.lastname: Sakar
authors.forename: A
authors.initials: A
authors.lastname: Kupelioglu
authors.forename: M
authors.initials: M
authors.lastname: Fuzun
mesh_terms: D000230:Adenocarcinoma / Q000473:pathology* / Q000556:secondary; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001808:Blood Vessels / Q000473:pathology; D015179:Colorectal Neoplasms / Q000473:pathology*; D005355:Fibrosis; D005500:Follow-Up Studies; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D042601:Lymphatic Vessels / Q000473:pathology; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D011379:Prognosis; D015203:Reproducibility of Results; D016019:Survival Analysis