Needs for a prediction model for each tumor location using features from T2WI, contrast-enhanced T1WI, and apparent diffusion coefficients to predict brain invasion of meningiomas

Naoko Mori; Masazumi Matsuda; Takahiro Otani

doi:10.1007/s10143-022-01912-2

Needs for a prediction model for each tumor location using features from T2WI, contrast-enhanced T1WI, and apparent diffusion coefficients to predict brain invasion of meningiomas

Naoko Mori, Masazumi Matsuda, Takahiro Otani

MED - Medical Sciences

Research output: Contribution to journal › Letter › peer-review

Original language	English
Article number	1
Journal	Neurosurgical Review
Volume	46
Issue number	1
DOIs	https://doi.org/10.1007/s10143-022-01912-2
Publication status	Published - 2023 Dec

ASJC Scopus subject areas

Surgery
Clinical Neurology

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10.1007/s10143-022-01912-2

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title = "Needs for a prediction model for each tumor location using features from T2WI, contrast-enhanced T1WI, and apparent diffusion coefficients to predict brain invasion of meningiomas",

author = "Naoko Mori and Masazumi Matsuda and Takahiro Otani",

year = "2023",

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doi = "10.1007/s10143-022-01912-2",

language = "English",

volume = "46",

journal = "Neurosurgical Review",

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AU - Matsuda, Masazumi

AU - Otani, Takahiro

PY - 2023/12

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AN - SCOPUS:85143320494

SN - 0344-5607

VL - 46

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Needs for a prediction model for each tumor location using features from T2WI, contrast-enhanced T1WI, and apparent diffusion coefficients to predict brain invasion of meningiomas

ASJC Scopus subject areas

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