Are the <scp>SORG</scp> and <scp>OPTI</scp> model, Tokuhashi and Tomita Algorithms Still Suitable as Predictors of Survival in Patients With Vertebral Metastases in Routine Clinical Practice?

All models showed relatively low accuracy. The newer models (OPTImodel, SORG ML) did not outperform the traditional Tomita and Tokuhashi in predicting survival for vertebral metastases patients.

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Publication Details

Journal
Cancer Medicine
Published
2026-02-01
DOI
https://doi.org/10.1002/cam4.71520
Primary Topic
Management of metastatic bone disease
Type
article
Field-Weighted Citation Impact
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article

Are the SORG and OPTI model, Tokuhashi and Tomita Algorithms Still Suitable as Predictors of Survival in Patients With Vertebral Metastases in Routine Clinical Practice?

J Mateo Negreira, P González-Herráez Fernández, González Pedro Arcos, Julián Fernández
Cancer Medicine
Management of metastatic bone disease
article

Are the SORG and OPTI model, Tokuhashi and Tomita Algorithms Still Suitable as Predictors of Survival in Patients With Vertebral Metastases in Routine Clinical Practice?

J Mateo Negreira, P González-Herráez Fernández, González Pedro Arcos, Julián Fernández
article en

Abstract

All models showed relatively low accuracy. The newer models (OPTImodel, SORG ML) did not outperform the traditional Tomita and Tokuhashi in predicting survival for vertebral metastases patients.

Cancer MedicineVol. 15(2)
Universidad de Oviedo (ES), Hospital Universitario De Cabueñes (ES)
Good health and well-being
Openalex Percentile: Top 66%
Management of metastatic bone disease
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Are the <scp>SORG</scp> and <scp>OPTI</scp> model, Tokuhashi and Tomita Algorithms Still Suitable as Predictors of Survival in Patients With Vertebral Metastases in Routine Clinical Practice? — J Mateo Negreira, P González-Herráez Fernández, et al. · Cancer Medicine (2026) | TGRS Research Map | TGRS