Estimating the Potential of Radiomics Features and Radiomics Signature from Pretherapeutic PSMA-PET-CT Scans and Clinical Data for Prediction of Overall Survival When Treated with <sup>177</sup>Lu-PSMA.

Moazemi, Sobhan; Erle, Annette; Lütje, Susanne; Gaertner, Florian C; Essler, Markus; Bundschuh, Ralph A

Estimating the Potential of Radiomics Features and Radiomics Signature from Pretherapeutic PSMA-PET-CT Scans and Clinical Data for Prediction of Overall Survival When Treated with ¹⁷⁷Lu-PSMA.

Moazemi, Sobhan; Erle, Annette; Lütje, Susanne; Gaertner, Florian C; Essler, Markus; Bundschuh, Ralph A.

Afiliación

Moazemi S; Department of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.
Erle A; Department of Computer Science, University of Bonn, 53115 Bonn, Germany.
Lütje S; Department of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.
Gaertner FC; Department of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.
Essler M; Department of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.
Bundschuh RA; Department of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.

Diagnostics (Basel) ; 11(2)2021 Jan 28.

Article en En | MEDLINE | ID: mdl-33525456

Palabras clave

computed tomography (CT); overall survival (OS); positron emission tomography (PET); prostate cancer (PC); prostate specific membrane antigen (PSMA); radiomics signature (RS)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza

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