Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T<sub>2</sub><sup>*</sup>-weighted radiomic-based extra trees models.

Zhang, Meng-Ze; Ou-Yang, Han-Qiang; Liu, Jian-Fang; Jin, Dan; Wang, Chun-Jie; Ni, Ming; Liu, Xiao-Guang; Lang, Ning; Jiang, Liang; Yuan, Hui-Shu

Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T₂^*-weighted radiomic-based extra trees models.

Zhang, Meng-Ze; Ou-Yang, Han-Qiang; Liu, Jian-Fang; Jin, Dan; Wang, Chun-Jie; Ni, Ming; Liu, Xiao-Guang; Lang, Ning; Jiang, Liang; Yuan, Hui-Shu.

Afiliación

Zhang MZ; Department of Radiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, China.
Ou-Yang HQ; Department of Orthopedics, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, China.
Liu JF; Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China.
Jin D; Beijing Key Laboratory of Spinal Disease Research, Beijing, China.
Wang CJ; Department of Radiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, China.
Ni M; Department of Radiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, China.
Liu XG; Department of Radiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, China.
Lang N; Department of Radiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, China.
Jiang L; Department of Orthopedics, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, China.
Yuan HS; Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China.

Eur Radiol ; 32(5): 3565-3575, 2022 May.

Article en En | MEDLINE | ID: mdl-35024949

Asunto(s)

Enfermedades de la Médula Espinal; Espondilosis; Vértebras Cervicales/diagnóstico por imagen; Vértebras Cervicales/cirugía; Descompresión Quirúrgica/métodos; Humanos; Imagen por Resonancia Magnética/métodos; Periodo Posoperatorio; Estudios Retrospectivos; Enfermedades de la Médula Espinal/diagnóstico por imagen; Enfermedades de la Médula Espinal/cirugía; Espondilosis/diagnóstico por imagen; Espondilosis/cirugía; Resultado del Tratamiento

Palabras clave

Machine learning; Magnetic resonance imaging; Radiomics; Spinal cord diseases

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades de la Médula Espinal / Espondilosis Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

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