Radiomics biopsy signature for predicting survival in patients with spinal bone metastases (SBMs).

Sanli, I; Osong, B; Dekker, A; TerHaag, K; van Kuijk, S M J; van Soest, J; Wee, L; Willems, P C

Sanli, I; Osong, B; Dekker, A; TerHaag, K; van Kuijk, S M J; van Soest, J; Wee, L; Willems, P C.

Afiliación

Sanli I; Department of Orthopedic Surgery, Maastricht University Medical Center, The Netherlands.
Osong B; Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, The Netherlands.
Dekker A; Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, The Netherlands.
TerHaag K; Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, The Netherlands.
van Kuijk SMJ; Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University Medical Center, Maastricht, The Netherlands.
van Soest J; Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, The Netherlands.
Wee L; Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, The Netherlands.
Willems PC; Department of Orthopedic Surgery, Maastricht University Medical Center, The Netherlands.

Clin Transl Radiat Oncol ; 33: 57-65, 2022 Mar.

Article en En | MEDLINE | ID: mdl-35079642

Palabras clave

Predictive model; Radiomics; SBM; Spinal bone metastases

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Transl Radiat Oncol Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

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