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Postoperative Karnofsky performance status prediction in patients with IDH wild-type glioblastoma: A multimodal approach integrating clinical and deep imaging features.

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Title: Postoperative Karnofsky performance status prediction in patients with IDH wild-type glioblastoma: A multimodal approach integrating clinical and deep imaging features.
Authors: Sasagasako T; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.; Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan., Ueda A; Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan., Mineharu Y; Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan., Mochizuki Y; Kyoto University Faculty of Medicine, Kyoto, Japan., Doi S; Kyoto University Faculty of Medicine, Kyoto, Japan., Park S; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan., Terada Y; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan., Sano N; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan., Tanji M; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan., Arakawa Y; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan., Okuno Y; Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan.; Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Source: PloS one [PLoS One] 2024 Nov 11; Vol. 19 (11), pp. e0303002. Date of Electronic Publication: 2024 Nov 11 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Postoperative Karnofsky performance status prediction in patients with IDH wild-type glioblastoma: A multimodal approach integrating clinical and deep imaging features.
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  Data: <searchLink fieldCode="AU" term="%22Sasagasako+T%22">Sasagasako T</searchLink>; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.; Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Ueda+A%22">Ueda A</searchLink>; Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Mineharu+Y%22">Mineharu Y</searchLink>; Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Mochizuki+Y%22">Mochizuki Y</searchLink>; Kyoto University Faculty of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Doi+S%22">Doi S</searchLink>; Kyoto University Faculty of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Park+S%22">Park S</searchLink>; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Terada+Y%22">Terada Y</searchLink>; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Sano+N%22">Sano N</searchLink>; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Tanji+M%22">Tanji M</searchLink>; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Arakawa+Y%22">Arakawa Y</searchLink>; Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Okuno+Y%22">Okuno Y</searchLink>; Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan.; Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2024 Nov 11; Vol. 19 (11), pp. e0303002. <i>Date of Electronic Publication: </i>2024 Nov 11 (<i>Print Publication: </i>2024).
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              Text: 2024 Nov 11
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