Literature DB >> 26637905

Correlation Between Different ADC Fractions, Cell Count, Ki-67, Total Nucleic Areas and Average Nucleic Areas in Meningothelial Meningiomas.

Alexey Surov1, Henrike Caysa2, Andreas Wienke3, Rolf Peter Spielmann4, Eckhard Fiedler5.   

Abstract

BACKGROUND: Meningioma is the most common intracranial tumor. The aim of the present study was to correlate apparent diffusion coefficient (ADC) values with cellularity, Ki-67 and nucleic area in meningioma cases. PATIENTS AND METHODS: Twenty-four meningothelial meningiomas were included in the study. Diffusion-weighted imaging was performed using a multi-slice single-shot echo-planar imaging sequence. In all lesions minimal ADC values (ADCmin), mean ADC values (ADCmean), and maximal ADC values (ADCmax) were estimated. Additionally, true ADC values (D) were calculated. All tumors were resected and analyzed histopathologically. The tumor proliferation index was estimated on Ki-67 antigen-stained specimens. Cell density was calculated in every case as an average cell count per five high-power fields. All histological samples were analyzed for estimation of nucleic size and nucleic area. The ImageJ software 1.48v was used for analysis. Analyses of the estimated parameter were performed by means of two-sided t-tests. Correlation analysis was performed using the Pearson's product moment correlation.
RESULTS: The mean values of ADCmin, ADCmean, ADCmax, and D were 0.64±0.11, 0.89±0.13, 1.15±0.27, and 0.75±0.20×10-3 mm(2)s(-1), respectively. The estimated mean cell count was 1160.08±33.86 cells and the mean level of the proliferation index was 3.46±2.84%. The mean values of average nucleic area and total nucleic area were 65.42±19.38 μm(2) and 64481.87±21120.02 μm(2), respectively ADCmean correlated significant with Ki-67 level, average nucleic area, and total nucleic area, but not with cell count. ADCmin and D correlated significant with cell count and total nucleic area, but not with Ki-67. D was also associated with average nucleic area. ADCmax correlated slightly with cell count.
CONCLUSION: Several relationships between ADC and histological parameters in meningioma were assessed. ADCmean was negatively associated with Ki-67 level, average nucleic area, and total nucleic area. There was no significant correlation between ADCmean and cell count. ADCmin and D correlated well with total nucleic areas and cell count, but not with Ki-67. ADCmax correlated slightly with cell count. Copyright
© 2015 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

Entities:  

Keywords:  ADC; Ki-67; Meningioma; nucleic area; tumor cellularity

Mesh:

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Year:  2015        PMID: 26637905

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  28 in total

1.  Correlation Between Aquaporin 4 Expression and Different DWI Parameters in Grade I Meningioma.

Authors:  Stefan Schob; Alexey Surov; Andreas Wienke; Hans Jonas Meyer; Rolf Peter Spielmann; Eckhard Fiedler
Journal:  Mol Imaging Biol       Date:  2017-02       Impact factor: 3.488

2.  DWI and IVIM are predictors of Ki67 proliferation index: direct comparison of MRI images and pathological slices in a murine model of rhabdomyosarcoma.

Authors:  Yuan Yuan; Dewei Zeng; Yajie Liu; Juan Tao; Yu Zhang; Jie Yang; Tsendjav Lkhagvadorj; Zhenzhen Yin; Shaowu Wang
Journal:  Eur Radiol       Date:  2019-11-08       Impact factor: 5.315

3.  ADC Histogram Analysis of Cervical Cancer Aids Detecting Lymphatic Metastases-a Preliminary Study.

Authors:  Stefan Schob; Hans Jonas Meyer; Nikolaos Pazaitis; Dominik Schramm; Kristina Bremicker; Marc Exner; Anne Kathrin Höhn; Nikita Garnov; Alexey Surov
Journal:  Mol Imaging Biol       Date:  2017-12       Impact factor: 3.488

4.  Soft tissue sarcoma: DWI and DCE-MRI parameters correlate with Ki-67 labeling index.

Authors:  Ji Hyun Lee; Young Cheol Yoon; Sung Wook Seo; Yoon-La Choi; Hyun Su Kim
Journal:  Eur Radiol       Date:  2019-10-18       Impact factor: 5.315

5.  Histogram Analysis of T1-Weighted, T2-Weighted, and Postcontrast T1-Weighted Images in Primary CNS Lymphoma: Correlations with Histopathological Findings-a Preliminary Study.

Authors:  Hans-Jonas Meyer; Stefan Schob; Benno Münch; Clara Frydrychowicz; Nikita Garnov; Ulf Quäschling; Karl-Titus Hoffmann; Alexey Surov
Journal:  Mol Imaging Biol       Date:  2018-04       Impact factor: 3.488

6.  Diffusion Profiling via a Histogram Approach Distinguishes Low-grade from High-grade Meningiomas, Can Reflect the Respective Proliferative Potential and Progesterone Receptor Status.

Authors:  Georg Alexander Gihr; Diana Horvath-Rizea; Nikita Garnov; Patricia Kohlhof-Meinecke; Oliver Ganslandt; Hans Henkes; Hans Jonas Meyer; Karl-Titus Hoffmann; Alexey Surov; Stefan Schob
Journal:  Mol Imaging Biol       Date:  2018-08       Impact factor: 3.488

7.  Associations Between [18F]FDG-PET and Complex Histopathological Parameters Including Tumor Cell Count and Expression of KI 67, EGFR, VEGF, HIF-1α, and p53 in Head and Neck Squamous Cell Carcinoma.

Authors:  Alexey Surov; Hans Jonas Meyer; Anne-Kathrin Höhn; Karsten Winter; Osama Sabri; Sandra Purz
Journal:  Mol Imaging Biol       Date:  2019-04       Impact factor: 3.488

Review 8.  Diffusion-Weighted Imaging Reflects Tumor Grading and Microvascular Invasion in Hepatocellular Carcinoma.

Authors:  Alexey Surov; Maciej Pech; Jazan Omari; Frank Fischbach; Robert Damm; Katharina Fischbach; Maciej Powerski; Borna Relja; Andreas Wienke
Journal:  Liver Cancer       Date:  2021-01-27       Impact factor: 11.740

9.  Signal Intensities in Preoperative MRI Do Not Reflect Proliferative Activity in Meningioma.

Authors:  Stefan Schob; Clara Frydrychowicz; Matthias Gawlitza; Lionel Bure; Matthias Preuß; Karl-Titus Hoffmann; Alexey Surov
Journal:  Transl Oncol       Date:  2016-07-08       Impact factor: 4.243

10.  Diffusion-Weighted Imaging Using a Readout-Segmented, Multishot EPI Sequence at 3 T Distinguishes between Morphologically Differentiated and Undifferentiated Subtypes of Thyroid Carcinoma-A Preliminary Study.

Authors:  Stefan Schob; Peter Voigt; Lionel Bure; Hans-Jonas Meyer; Claudia Wickenhauser; Curd Behrmann; Annekathrin Höhn; Paul Kachel; Henning Dralle; Karl-Titus Hoffmann; Alexey Surov
Journal:  Transl Oncol       Date:  2016-09-20       Impact factor: 4.243

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