Literature DB >> 30051700

Preoperative Evaluation of Tumor Adhesion to Adjacent Brain Tissue in Patients with Meningioma with BSMI Method and Its Comparison with the Width of Edema Around Tumor

Sonia Rezaei1, Fariborz Faeghi, Mohammad Samadian, Babak Shekarchi.   

Abstract

Background: This study aims to investigate the ability of BSMI, to preoperative evaluation of tumor adhesion to adjacent brain tissue in patients with meningioma and comparing this method to the width of edema around tumor, using surgery findings as the reference standard.
Methods: Thirty patients with meningioma brain tumor who underwent surgery at Loghman hospital were selected for the study between November 2016 and January 2018. The level of edema according to the classification of Ide et al., (u1995) was compared with the surgical findings with blinded results, and neurosurgeons made a qualitative assessment of tumor adhesion at the time of resection. The ability of BSMI and level of edema to predict the surgical assessment of adhesion was tested using the Fisher Exact Test.
Results: BSMI method was conducted on patients with meningioma brain tumor, which judged 22 (73.3%) patients as adhesion (+) and 8 (26.66%) patients as adhesion (-). In this case, there was a significant relationship between BSMI judgment and surgical findings (p-value<0.0001). The sensitivity, specificity, precision and accuracy was high, at 91.30%, 85.71%, 95.45% and 90%, respectively. Using T2-Weighted SPACE sequence, of the 30 patients, 13 (43.3%) were judged as adhesion (+) and 17 (56.7%) as adhesion (-) from edema, whereas surgical findings evaluated 23 (76.7%) as adhesion (+) and 7 (23.3%) as adhesion (-).The sensitivity was moderate but the specificity was high, at 52.17% and 85.71%, respectively. Other criteria such as precision and accuracy were 62.31% and 60%, respectively. Conclusions: BSMI evaluated adhesion of the tumor to the adjacent brain tissue with high-accuracy prior to surgery. This method was more effective than Edema method in evaluating adhesion between meningioma and the brain. Creative Commons Attribution License

Entities:  

Keywords:  Tumor; meningioma; adhesion; magnetic resonance imaging; brain surface motion; preoperative surgery

Mesh:

Year:  2018        PMID: 30051700      PMCID: PMC6165639          DOI: 10.22034/APJCP.2018.19.7.2007

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  19 in total

1.  Brain surface motion imaging to predict adhesions between meningiomas and the brain surface.

Authors:  Toshiaki Taoka; Syuichi Yamada; Yuya Yamatani; Toshiaki Akashi; Toshiteru Miyasaka; Tomoko Emura; Hiroyuki Nakase; Kimihiko Kichikawa
Journal:  Neuroradiology       Date:  2010-03-24       Impact factor: 2.804

2.  A magnetic resonance imaging technique to evaluate tumor-brain adhesion in meningioma: brain-surface motion imaging.

Authors:  Shuichi Yamada; Toshiaki Taoka; Ichiro Nakagawa; Fumihiko Nishimura; Yasushi Motoyama; Young S Park; Hiroyuki Nakase; Kimihiko Kichikawa
Journal:  World Neurosurg       Date:  2013-02-09       Impact factor: 2.104

3.  ECG-synchronized cardiac MR imaging: method and evaluation.

Authors:  P Lanzer; C Barta; E H Botvinick; H U Wiesendanger; G Modin; C B Higgins
Journal:  Radiology       Date:  1985-06       Impact factor: 11.105

4.  Prostaglandin D synthase (beta-trace) in human arachnoid and meningioma cells: roles as a cell marker or in cerebrospinal fluid absorption, tumorigenesis, and calcification process.

Authors:  T Yamashima; K Sakuda; Y Tohma; J Yamashita; H Oda; D Irikura; N Eguchi; C T Beuckmann; Y Kanaoka; Y Urade; O Hayaishi
Journal:  J Neurosci       Date:  1997-04-01       Impact factor: 6.167

5.  Risk factors predicting recurrence in patients operated on for intracranial meningioma. A multivariate analysis.

Authors:  J Ayerbe; R D Lobato; J de la Cruz; R Alday; J J Rivas; P A Gómez; A Cabrera
Journal:  Acta Neurochir (Wien)       Date:  1999       Impact factor: 2.216

6.  Correlation of the relationships of brain-tumor interfaces, magnetic resonance imaging, and angiographic findings to predict cleavage of meningiomas.

Authors:  F Ildan; M Tuna; A P Göçer; B Boyar; H Bağdatoğlu; O Sen; S Haciyakupoģlu; H R Burgut
Journal:  J Neurosurg       Date:  1999-09       Impact factor: 5.115

7.  Meningiomas: correlation between MRI characteristics and operative findings including consistency.

Authors:  Y Suzuki; T Sugimoto; M Shibuya; K Sugita; S J Patel
Journal:  Acta Neurochir (Wien)       Date:  1994       Impact factor: 2.216

8.  Angiogenesis in intracranial meningiomas: immunohistochemical and molecular study.

Authors:  S Pistolesi; L Boldrini; S Gisfredi; K De Ieso; T Camacci; M Caniglia; G Lupi; P Leocata; F Basolo; R Pingitore; G Parenti; G Fontanini
Journal:  Neuropathol Appl Neurobiol       Date:  2004-04       Impact factor: 8.090

9.  Edema and malignancy in meningiomas.

Authors:  Tobias Alécio Mattei; Josias Alécio Mattei; Ricardo Ramina; Paulo Henrique Aguiar; José Pindaro Plese; Raul Marino
Journal:  Clinics (Sao Paulo)       Date:  2005-06-13       Impact factor: 2.365

10.  Expression of MMP-9 and VEGF in meningiomas and their correlation with peritumoral brain edema.

Authors:  Joanna Reszec; Adam Hermanowicz; Robert Rutkowski; Grzegorz Turek; Zenon Mariak; Lech Chyczewski
Journal:  Biomed Res Int       Date:  2015-03-03       Impact factor: 3.411

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  1 in total

1.  Evaluation of Surgical Cleavage Plane by Preoperative Magnetic Resonance Imaging Findings in Adult Intracranial Meningiomas.

Authors:  Nazmin Ahmed; Gianluca Ferini; Mosharef A T M Hossain; Kanak Kanti Barua; Mohammad Nazrul Hossain; Giuseppe Emmanuele Umana; Nathan A Shlobin; Gianluca Scalia; Paolo Palmisciano; Ottavio S Tomasi; Bipin Chaurasia
Journal:  Life (Basel)       Date:  2022-03-24
  1 in total

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