Literature DB >> 16222111

Prediction of tumor-brain adhesion in intracranial meningiomas by MR imaging and DSA.

Takashi Takeguchi1, Hitoshi Miki, Teruhiko Shimizu, Keiichi Kikuchi, Teruhito Mochizuki, Shiro Ohue, Takanori Ohnishi.   

Abstract

OBJECTIVES: The purpose of this study was to evaluate the usefulness of MRI (magnetic resonance imaging) and DSA (digital subtraction angiography) by using preoperative MRI and DSA findings in the examination of meningiomas before excision. In particular, we focused on their usefulness in predicting tumor-brain adhesion during surgery.
MATERIALS AND METHODS: The subjects were 36 patients with intracranial meningioma who underwent tumor excision at which time neurosurgeons examined the tumor-brain adhesion. Two neurosurgeons evaluated the degree of tumor-brain adhesion from operation records and videotapes recorded during surgery. Two neuroradiologists retrospectively evaluated the preoperative MRI findings including tumor diameter, signal intensity of the tumor parenchyma obtained with T(2)-weighted imaging (T(2)WI), characteristics of the tumor-brain interface, and degree of peritumoral brain edema. The vascular supply was also evaluated from the preoperative DSA findings. The relationship between these MRI and DSA findings and the degree of tumor-brain adhesion during surgery as classified by the neurosurgeons was statistically analyzed.
RESULTS: The degree of peritumoral brain edema and the shapes and characteristics of the tumor-brain interface, including the findings of FLAIR (fluid-attenuated inversion recovery) imaging and vascular supply observed by DSA, were significantly correlated with tumor-brain adhesion. In particular, the shapes and characteristics of the tumor-brain interface as observed by T(1)-weighted imaging (T(1)WI), T(2)WI, and FLAIR, respectively, as well as the vascular supply observed by DSA, were closely correlated with the degree of tumor-brain adhesion encountered during surgery. According to these results, we developed a method of predicting tumor-brain adhesion that considers the shape of the tumor-brain interface revealed by MRI and the vascular supply revealed by DSA.
CONCLUSIONS: We retrospectively examined the findings of MRI and DSA performed before excision of meningioma and clarified the relationship between the findings and tumor-brain adhesion. We speculated that tumor-brain adhesion can be accurately and simply predicted before surgery with a new method that considers the shape of the tumor-brain interface observed by MRI and vascular supply observed by DSA.

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Mesh:

Year:  2003        PMID: 16222111     DOI: 10.2463/mrms.2.171

Source DB:  PubMed          Journal:  Magn Reson Med Sci        ISSN: 1347-3182            Impact factor:   2.471


  13 in total

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

Authors:  Toshiaki Taoka; Syuichi Yamada; Masahiko Sakamoto; Toshiaki Akashi; Toshiteru Miyasaka; Tomoko Ochi; Takeshi Wada; Masato Uchikoshi; Hiroyuki Nakase; Kimihiko Kichikawa
Journal:  Neuroradiology       Date:  2012-06-23       Impact factor: 2.804

2.  MRI predictive score of pial vascularization of supratentorial intracranial meningioma.

Authors:  Guillaume Friconnet; Victor Hugo Espíndola Ala; Kevin Janot; Waleed Brinjikji; Clément Bogey; Leslie Lemnos; Henri Salle; Suzana Saleme; Charbel Mounayer; Aymeric Rouchaud
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

3.  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

4.  Prediction of high-grade meningioma by preoperative MRI assessment.

Authors:  Yosuke Kawahara; Mitsutoshi Nakada; Yutaka Hayashi; Yutaka Kai; Yasuhiko Hayashi; Naoyuki Uchiyama; Hiroyuki Nakamura; Jun-Ichi Kuratsu; Jun-Ichiro Hamada
Journal:  J Neurooncol       Date:  2012-02-12       Impact factor: 4.130

5.  Intraoperative neuromonitoring during resection of cranial meningiomas and its effect on the surgical workflow.

Authors:  Iddo Paldor; Omer Doron; Dana Peso; Muna Jubran; Gill E Sviri
Journal:  Neurosurg Rev       Date:  2021-10-11       Impact factor: 3.042

6.  Intraoperative MRI for the microsurgical resection of meningiomas close to eloquent areas or dural sinuses: patient series.

Authors:  Constantin Tuleasca; Rabih Aboukais; Quentin Vannod-Michel; Xavier Leclerc; Nicolas Reyns; Jean-Paul Lejeune
Journal:  J Neurosurg Case Lessons       Date:  2021-02-22

7.  Prediction of pediatric meningioma recurrence by preoperative MRI assessment.

Authors:  Hao Li; Meng Zhao; Shuo Wang; Yong Cao; Jizong Zhao
Journal:  Neurosurg Rev       Date:  2016-04-01       Impact factor: 3.042

8.  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

9.  Expression of vascular endothelial growth factor-A and mRNA stability factor HuR in human meningiomas.

Authors:  Takahiro Sakuma; Takao Nakagawa; Kazunori Ido; Hiroaki Takeuchi; Kazufumi Sato; Toshihiko Kubota
Journal:  J Neurooncol       Date:  2008-06       Impact factor: 4.130

10.  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
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