Literature DB >> 29694649

Prognostic value of Ki67: comparison of the proliferation index between meningiomas with and without infiltration of glial tissue.

Alia Zehani, Ines Chelly, Slim Haouet, Nidhameddine Kchir.   

Abstract

BACKGROUND: Although generally considered benign, meningiomas can cause significant morbidity and mortality.  Histologic grade is the most useful morphologic predictor of recurrence.
OBJECTIVES: To compare Ki67 labeling index between meningioma grade I and meningioma grade II with brain invasion.
METHODS: We analyzed 20 primary meningioma, 10 of which were grade I and 10 of which were grade II. Ki67 proliferative indices were determined in all cases.
RESULTS: The patient population consisted of 9 males and 11 females with mean age of 60 years. For meningioma grade I, the Ki67 labeling index varied between 1 and 15% with an average of 3.1%. A diagnosis of gradeII meningiomas was made solely on the basis of brain invasion. The immunohistochemical study noted that the Ki67 index varied between 1 and 20% with an average of 6,8%.
CONCLUSION: The Ki67 labeling index shows a significant increase from grade I to grade II.  It may provide useful prognostic information.

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Year:  2017        PMID: 29694649

Source DB:  PubMed          Journal:  Tunis Med        ISSN: 0041-4131


  3 in total

1.  Histopathological Spectrum of Meningiomas with Emphasis on Prognostic Role of Ki67 Labelling Index.

Authors:  Girish Solanke; Vidya Monappa; Ranjini Kudva
Journal:  Iran J Pathol       Date:  2020-04-21

2.  Fibronectin precoating wound bed enhances the therapeutic effects of autologous epidermal basal cell suspension for full-thickness wounds by improving epidermal stem cells' utilization.

Authors:  Peng Wang; Zhicheng Hu; Xiaoling Cao; Shaobin Huang; Yunxian Dong; Pu Cheng; Hailin Xu; Bin Shu; Julin Xie; Jun Wu; Bing Tang; Jiayuan Zhu
Journal:  Stem Cell Res Ther       Date:  2019-09-11       Impact factor: 6.832

3.  Magnetic Resonance Imaging (MRI) Differential Diagnosis of Meningiomas Using ANOVA.

Authors:  Jinhuan Liu; Jun Chen; Yunfei Zha; Yabin Huang; Feifei Zeng
Journal:  Contrast Media Mol Imaging       Date:  2021-07-10       Impact factor: 3.161

  3 in total

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