Literature DB >> 3385513

Architectural and nuclear morphometrical features together are more important prognosticators in endometrial hyperplasias than nuclear morphometrical features alone.

J P Baak1, J J Nauta, E C Wisse-Brekelmans, P D Bezemer.   

Abstract

Previous studies have shown that 80-90 per cent of cases of atypical hyperplasia of the endometrium do not progress to cancer. Criteria to predict the outcome in an individual patient with hyperplasia are lacking, and hysterectomy is the usual (over)treatment in order to avoid a 10-20 per cent chance of confrontation with cancer later on in the course of the disease. A recent study has shown that using a nuclear morphometric classification rule, 15 per cent of patients without progression can be accurately separated from patients with progression. However, as it is unlikely that nuclear morphometrical features are the only morphological factors reflecting the outcome of the disease, other quantitative parameters describing the architecture of the glands have also been studied for their potential value in selecting patients who will progress to cancer. In total, 10 nuclear features and 12 glandular architectural features were studied in 39 cases of atypical endometrial hyperplasia. Among these cases, seven (18 per cent) progressed to cancer. Using linear stepwise regression analysis and discriminant analysis, the volume percentage stroma and the standard deviation of the shortest nuclear axis are the best discriminators, although the outer surface density of the glands also adds to the discriminating power. The volume percentage stroma is the best single prognosticator; this feature is highly reproducible. In total, using these combined architectural and nuclear morphometrical features, 20 of the 32 cases without progression were separated from those who subsequently progressed (62.5 per cent). This is a considerable improvement over nuclear morphometrical features alone (15 per cent separated).

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Year:  1988        PMID: 3385513     DOI: 10.1002/path.1711540409

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


  13 in total

Review 1.  EIN and WHO94.

Authors:  J P A Baak; G L Mutter
Journal:  J Clin Pathol       Date:  2005-01       Impact factor: 3.411

2.  Incidence of endometrial hyperplasia.

Authors:  Susan D Reed; Katherine M Newton; Walter L Clinton; Meira Epplein; Rochelle Garcia; Kimberly Allison; Lynda F Voigt; Noel S Weiss
Journal:  Am J Obstet Gynecol       Date:  2009-04-23       Impact factor: 8.661

3.  A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables.

Authors:  Michael J Downing; David J Papke; Svitlana Tyekucheva; George L Mutter
Journal:  Int J Gynecol Pathol       Date:  2020-07       Impact factor: 2.762

4.  Diagnosis of premalignant endometrial disease.

Authors:  G L Mutter
Journal:  J Clin Pathol       Date:  2002-05       Impact factor: 3.411

5.  Computerised morphometrical analysis in endometrial hyperplasia for the prediction of cancer development. A long-term retrospective study from northern Norway.

Authors:  A Orbo; J P Baak; I Kleivan; S Lysne; P S Prytz; M A Broeckaert; A Slappendel; H J Tichelaar
Journal:  J Clin Pathol       Date:  2000-09       Impact factor: 3.411

6.  Prediction of endometrial carcinoma by subjective endometrial intraepithelial neoplasia diagnosis.

Authors:  Jonathan L Hecht; Tan A Ince; Jan P A Baak; Heather E Baker; Maryann W Ogden; George L Mutter
Journal:  Mod Pathol       Date:  2005-03       Impact factor: 7.842

Review 7.  The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system.

Authors:  Jan P Baak; George L Mutter; Stanley Robboy; Paul J van Diest; Anne M Uyterlinde; Anne Orbo; Juan Palazzo; Bent Fiane; Kjell Løvslett; Curt Burger; Feja Voorhorst; René H Verheijen
Journal:  Cancer       Date:  2005-06-01       Impact factor: 6.860

Review 8.  Histopathologic diagnosis of endometrial precancers: Updates and future directions.

Authors:  Hao Chen; Amanda L Strickland; Diego H Castrillon
Journal:  Semin Diagn Pathol       Date:  2021-12-10       Impact factor: 3.893

Review 9.  The endometrial hyperplasias revisited.

Authors:  Efthimios Sivridis; Alexandra Giatromanolaki
Journal:  Virchows Arch       Date:  2008-08-23       Impact factor: 4.064

10.  Morphometric, DNA and PCNA in thin malignant melanomas.

Authors:  V Björnhagen; E Månsson-Brahme; J Lindholm; A Mattsson; G Auer
Journal:  Med Oncol Tumor Pharmacother       Date:  1993
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