Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images.

Ikushima, Kojiro; Arimura, Hidetaka; Yasumatsu, Ryuji; Kamezawa, Hidemi; Ninomiya, Kenta

Ikushima, Kojiro; Arimura, Hidetaka; Yasumatsu, Ryuji; Kamezawa, Hidemi; Ninomiya, Kenta.

Afiliación

Ikushima K; Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Arimura H; Department of Radiological Technology, Yamaguchi University Hospital, 1-1-1 Minami-kogushi, Ube, Yamaguchi, 755-8505, Japan.
Yasumatsu R; Division of Quantum Radiation Science, Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. arimura.hidetaka.616@m.kyushu-u.ac.jp.
Kamezawa H; Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine, Kindai University, 377-2, Onohigashi, Sayama, Osaka, 589-0014, Japan.
Ninomiya K; Department of Radiological Technology, Faculty of Fukuoka Medical Technology, Teikyo University, 6-22 Misaki-machi, Omuta, Fukuoka, 836-8505, Japan.

MAGMA ; 36(5): 767-777, 2023 Oct.

Article en En | MEDLINE | ID: mdl-37079154

Asunto(s)

Neoplasias; Glándula Parótida; Humanos; Glándula Parótida/diagnóstico por imagen; Imagen por Resonancia Magnética/métodos; Interpretación de Imagen Asistida por Computador/métodos; Aprendizaje Automático; Estudios Retrospectivos

Palabras clave

Malignancy grade; Parotid gland cancer; Radiomic features; Topology

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Texto completo: 1 Colección: 01-internacional Asunto principal: Glándula Parótida / Neoplasias Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: MAGMA Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Japón

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