Literature DB >> 9602707

Clinical decision making in Barrett's oesophagus can be supported by computerized immunoquantitation and morphometry of features associated with proliferation and differentiation.

W Polkowski1, J P Baak, J J van Lanschot, G A Meijer, L T Schuurmans, F J Ten Kate, H Obertop, G J Offerhaus.   

Abstract

Grading of dysplasia in Barrett's oesophagus has a therapeutic impact, but subjective grading is associated with substantial observer variation. Quantitative pathological methods could help to achieve a more accurate and reproducible diagnosis. In the present study, the immunoquantitation of p53 and Ki67 and the morphometric analysis of features associated with proliferation and differentiation were evaluated for this purpose. In slides of 35 oesophagectomy specimens, 73 areas that displayed either no dysplasia (ND), low-grade dysplasia (LGD), high-grade dysplasia (HGD), or intramucosal carcinoma (ImCa) were initially considered. Agreement on double blind examination by two experienced pathologists was reached in 58 areas, which were used as the 'learning set'. The 15 areas of disagreement were used as a second set. In the univariate analysis, the most significant differences in the learning set were found for Ki67, p53, stratification index (SI), mean nuclear area, and volume. Further multivariate analysis showed that for discrimination between ND and LGD, the combination of Ki67 and SI resulted in 94 per cent correctly classified areas. Likewise, for the discrimination between LGD and HGD, Ki67 and SI were the most powerful combination (again, 94 per cent of areas classified correctly). The discrimination between HGD and ImCa with any combination of the quantitative parameters never exceeded 80 per cent correct classification. The addition of p53 was of no value in improving the discrimination of ND vs. LGD, or of LGD vs. HGD. In the 15 original disagreement areas of the initial set of 73, three of the five ND/LGD areas could be uniquely classified as either ND or LGD by Ki67 and SI. Moreover, three of the four LGD/HGD disagreement areas could be uniquely classified with the combination of Ki67 and SI as either LGD or HGD. We conclude that the quantitative assessment of cytometric and morphometric features associated with proliferation and differentiation (especially Ki67 and SI) can be a valuable adjunct tool for clinical decision making in Barrett's oesophagus.

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Year:  1998        PMID: 9602707     DOI: 10.1002/(SICI)1096-9896(199802)184:2<161::AID-PATH971>3.0.CO;2-2

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  14 in total

1.  ACP. Best Practice No 155. Guidelines for handling oesophageal biopsies and resection specimens and their reporting.

Authors:  N B Ibrahim
Journal:  J Clin Pathol       Date:  2000-02       Impact factor: 3.411

2.  Barrett's oesophagus and proton pump inhibitors: a pathological perspective.

Authors:  N A Shepherd
Journal:  Gut       Date:  2000-02       Impact factor: 23.059

3.  Routine morphometrical analysis can improve reproducibility of dysplasia grade in Barrett's oesophagus surveillance biopsies.

Authors:  J P A Baak; F J W ten Kate; G J A Offerhaus; J J van Lanschot; G A Meijer
Journal:  J Clin Pathol       Date:  2002-12       Impact factor: 3.411

4.  Rapid quantitative assessment of gastric corpus atrophy in tissue sections.

Authors:  N C van Grieken; M M Weiss; G A Meijer; E Bloemena; J Lindeman; G J Offerhaus; S G Meuwissen; J P Baak; E J Kuipers
Journal:  J Clin Pathol       Date:  2001-01       Impact factor: 3.411

Review 5.  Report of an Amsterdam working group on Barrett esophagus.

Authors:  G J A Offerhaus; P Correa; S van Eeden; K Geboes; P Drillenburg; M Vieth; M L van Velthuysen; H Watanabe; P Sipponen; F J W ten Kate; F T Bosman; A Bosma; A Ristimaki; H van Dekken; R Riddell; G N J Tytgat
Journal:  Virchows Arch       Date:  2003-09-27       Impact factor: 4.064

6.  Advances in cancer tissue microarray technology: Towards improved understanding and diagnostics.

Authors:  Wenjin Chen; David J Foran
Journal:  Anal Chim Acta       Date:  2006-01-23       Impact factor: 6.558

7.  Predictors of progression in Barrett's esophagus III: baseline flow cytometric variables.

Authors:  P S Rabinovitch; G Longton; P L Blount; D S Levine; B J Reid
Journal:  Am J Gastroenterol       Date:  2001-11       Impact factor: 10.864

8.  Predictors of progression in Barrett's esophagus II: baseline 17p (p53) loss of heterozygosity identifies a patient subset at increased risk for neoplastic progression.

Authors:  B J Reid; L J Prevo; P C Galipeau; C A Sanchez; G Longton; D S Levine; P L Blount; P S Rabinovitch
Journal:  Am J Gastroenterol       Date:  2001-10       Impact factor: 10.864

9.  Predictors of progression to cancer in Barrett's esophagus: baseline histology and flow cytometry identify low- and high-risk patient subsets.

Authors:  B J Reid; D S Levine; G Longton; P L Blount; P S Rabinovitch
Journal:  Am J Gastroenterol       Date:  2000-07       Impact factor: 10.864

Review 10.  [Subjective grading of Barrett's neoplasia by pathologists: correlation with objective histomorphometric variables].

Authors:  E Sabo; G Klorin; E Montgomery; K C Drumea; O Ben-Izhak; J Lachter; M Vieth
Journal:  Pathologe       Date:  2013-03       Impact factor: 1.011

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