Literature DB >> 22729701

Accuracy for predicting adhesion between meningioma and the brain by using brain surface motion imaging: comparison between single and double acquisition methods.

Toshiaki Taoka1, Syuichi Yamada, Masahiko Sakamoto, Toshiaki Akashi, Toshiteru Miyasaka, Tomoko Ochi, Takeshi Wada, Masato Uchikoshi, Hiroyuki Nakase, Kimihiko Kichikawa.   

Abstract

INTRODUCTION: The presence of adhesions between the brain and the meningioma is an important factor that determines the success of total surgical removal. Brain surface motion imaging enables assessment of the dynamics of brain surface motion. A subtraction image of pulse-gated heavily T2-weighted images in different phases of the cardiac cycle provides a stripe pattern on the surface of the pulsating brain. Thus, the lack of a stripe pattern on the surface of extraaxial tumor indicates the presence of tumor-brain adhesion. The purpose of the present experiment was to evaluate the accuracy of predicting tumor-brain adhesion using the original double acquisition method and the improved single acquisition method.
METHODS: The subjects were 67 meningioma cases patients who were surgically treated after brain surface motion imaging. Thirty-three cases were evaluated using the double acquisition method and 34 cases were evaluated with the single acquisition method. In the double acquisition method, the two sets of images are acquired as two independent scans, and in the single acquisition method, the images are acquired serially as a single scan.
RESULTS: The findings for the double acquisition method agreed with the surgical findings in 23 cases (69.7 %), while findings from the single acquisition method agreed with the surgical findings in 26 cases (76.5 %).
CONCLUSION: Pre-surgical evaluation for tumor-brain adhesion by brain surface motion imaging provides helpful information for meningioma surgery, especially when using the single acquisition method.

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Year:  2012        PMID: 22729701     DOI: 10.1007/s00234-012-1054-4

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  15 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.  Peritumoral brain edema in intracranial meningiomas: effects of radiological and histological factors.

Authors:  T Tamiya; Y Ono; K Matsumoto; T Ohmoto
Journal:  Neurosurgery       Date:  2001-11       Impact factor: 4.654

3.  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

4.  Most intracranial meningiomas are not cleavable tumors: anatomic-surgical evidence and angiographic predictibility.

Authors:  M P Sindou; M Alaywan
Journal:  Neurosurgery       Date:  1998-03       Impact factor: 4.654

5.  Dural attachment of intracranial meningiomas: evaluation with contrast-enhanced three-dimensional fast imaging with steady-state acquisition (FIESTA) at 3 T.

Authors:  Junkoh Yamamoto; Shingo Kakeda; Mayu Takahashi; Yuichi Aoyama; Yoshiteru Soejima; Takeshi Saito; Daisuke Akiba; Yukunori Korogi; Shigeru Nishizawa
Journal:  Neuroradiology       Date:  2010-07-29       Impact factor: 2.804

6.  Peritumoral edema in meningiomas: microsurgical observations of different brain tumor interfaces related to computed tomography.

Authors:  F M Salpietro; C Alafaci; S Lucerna; D G Iacopino; C Todaro; F Tomasello
Journal:  Neurosurgery       Date:  1994-10       Impact factor: 4.654

7.  Assessment of the internal craniocervical ligaments with a new magnetic resonance imaging sequence: three-dimensional turbo spin echo with variable flip-angle distribution (SPACE).

Authors:  Bernhard Baumert; Klaus Wörtler; Denise Steffinger; Gerwin P Schmidt; Maximilian F Reiser; Andrea Baur-Melnyk
Journal:  Magn Reson Imaging       Date:  2009-03-17       Impact factor: 2.546

8.  Peritumoral brain edema in meningiomas--influence of vascular supply on its development.

Authors:  T Inamura; S Nishio; I Takeshita; S Fujiwara; M Fukui
Journal:  Neurosurgery       Date:  1992-08       Impact factor: 4.654

9.  Interface between the meningioma and the brain on magnetic resonance imaging.

Authors:  S Nakasu; Y Nakasu; K Matsumura; M Matsuda; J Handa
Journal:  Surg Neurol       Date:  1990-02

10.  Peritumoral brain edema in meningiomas: correlations between magnetic resonance imaging, angiography, and pathology.

Authors:  Kyung-Jin Lee; Won-Il Joo; Hyung-Kyun Rha; Hae-Kwan Park; Jung-Ki Chough; Yong-Kil Hong; Chun-Keun Park
Journal:  Surg Neurol       Date:  2008-02-08
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  5 in total

1.  Editorial comment on "A new method for quantification and 3D visualization of brain tumor adhesion using slip interface imaging in patients with meningiomas".

Authors:  Albert Pons-Escoda
Journal:  Eur Radiol       Date:  2021-05-26       Impact factor: 5.315

2.  Slip Interface Imaging Predicts Tumor-Brain Adhesion in Vestibular Schwannomas.

Authors:  Ziying Yin; Kevin J Glaser; Armando Manduca; Jamie J Van Gompel; Michael J Link; Joshua D Hughes; Anthony Romano; Richard L Ehman; John Huston
Journal:  Radiology       Date:  2015-08-06       Impact factor: 11.105

3.  Predictors of Morbidity and Cleavage Plane in Surgical Resection of Pure Convexity Meningiomas Using Cerebrospinal Fluid Sensitive Image Subtraction Magnetic Resonance Imaging.

Authors:  José Luis Thenier-Villa; Raúl Alejandro Galárraga Campoverde; Adolfo Ramón DE LA Lama Zaragoza; Cesáreo Conde Alonso
Journal:  Neurol Med Chir (Tokyo)       Date:  2016-08-31       Impact factor: 1.742

4.  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

Authors:  Sonia Rezaei; Fariborz Faeghi; Mohammad Samadian; Babak Shekarchi
Journal:  Asian Pac J Cancer Prev       Date:  2018-07-27

5.  Nomogram for Predicting Facial Nerve Outcomes After Surgical Resection of Vestibular Schwannoma.

Authors:  Yang Sun; Jianhua Yang; Tang Li; Kaiming Gao; Xiaoguang Tong
Journal:  Front Neurol       Date:  2022-02-08       Impact factor: 4.003

  5 in total

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