Literature DB >> 12167100

Quantitative immunohistochemical evaluation of MIB-1 labeling index in adult soft-tissue sarcomas by computer-assisted image analysis.

Tadashi Hasegawa1, Seiichiro Yamamoto, Yoshihiro Matsuno.   

Abstract

We have found that the MIB-1 grade, based on tumor differentiation/histological type, necrosis and Ki-67 (MIB-1) score, is a valid and reproducible prognostic system for adult soft-tissue sarcomas. However, there are limited data available on Ki-67 labeling indices (LI) from adult soft-tissue sarcomas for testing the validity of quantitative image analysis. In this study, the records of 146 adult patients with soft-tissue sarcomas of the extremities and trunk were retrieved, and MIB-1 immunostaining was carried out for the grading. The counted MIB-1 LI values and the scores estimated from microscopic observation were defined as the gold standard. The correlation between MIB-1 LI as assessed by computer-assisted image analysis and by microscopic observation was determined. The image analysis -based MIB-1 LI was highly correlated with the microscopic observation-based MIB-1 LI (r = 0.87, 95% confidence interval (CI) = 0.82-0.92). In addition, agreement between the MIB-1 scores was very high (kappa statistic = 0.83, 95% CI = 0.75-0.91), as was the percentage agreement (89%, 95% CI = 82.8-93.6%) between the results from image analysis and microscopic observation. We conclude that quantitative immunohistochemical evaluation of MIB-1 LI by image analysis enables pathologists to improve interobserver agreement in the assessment of MIB-1 score, and can help to objectively assign the correct histological grade to cases of adult soft-tissue sarcoma, resulting in optimal clinical management.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12167100     DOI: 10.1046/j.1440-1827.2002.01378.x

Source DB:  PubMed          Journal:  Pathol Int        ISSN: 1320-5463            Impact factor:   2.534


  4 in total

1.  Intratumoral heterogeneity of MIB-1 labelling index in gastric gastrointestinal stromal tumor (GIST).

Authors:  Hiroshi Yasui; Eiichi Konishi; Koji Urasaki; Satoru Yasukawa; Akio Yanagisawa
Journal:  Gastric Cancer       Date:  2006       Impact factor: 7.370

2.  Visual Counting and Automated Image-analytic Assessment of Ki-67 and their Prognostic Value in Synovial Sarcoma.

Authors:  Riikka E Laurila; Tom O Böhling; Carl P Blomqvist; Christina Karlsson; Erkki J Tukiainen; Jussi Repo; Mika M Sampo
Journal:  Cancer Diagn Progn       Date:  2022-01-03

3.  How reliable is Ki-67 immunohistochemistry in grade 2 breast carcinomas? A QA study of the Swiss Working Group of Breast- and Gynecopathologists.

Authors:  Zsuzsanna Varga; Joachim Diebold; Corina Dommann-Scherrer; Harald Frick; Daniela Kaup; Aurelia Noske; Ellen Obermann; Christian Ohlschlegel; Barbara Padberg; Christiane Rakozy; Sara Sancho Oliver; Sylviane Schobinger-Clement; Heide Schreiber-Facklam; Gad Singer; Coya Tapia; Urs Wagner; Mauro G Mastropasqua; Giuseppe Viale; Hans-Anton Lehr
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

Review 4.  15-Lipoxygenase and its metabolites in the pathogenesis of breast cancer: A double-edged sword.

Authors:  Mohammad Amin Vaezi; Banafsheh Safizadeh; Amir Reza Eghtedari; Seyedeh Sara Ghorbanhosseini; Mostafa Rastegar; Vahid Salimi; Masoumeh Tavakoli-Yaraki
Journal:  Lipids Health Dis       Date:  2021-11-27       Impact factor: 3.876

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.