Computed tomography-based nutritional associated nomogram on machine learning predicts survival outcomes in patients with resectable soft-tissue sarcoma

Our study implicated the prognostic value of multiple nutritional assessment indexes for prediction of clinical outcomes in STS, and patients' nutrition status need long-term surveillance and management.

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Publication Details

Journal
World Journal of Radiology
Published
2026-02-24
DOI
https://doi.org/10.4329/wjr.v18.i2.116462
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Computed tomography-based nutritional associated nomogram on machine learning predicts survival outcomes in patients with resectable soft-tissue sarcoma

Yuhan Yang
World Journal of Radiology
Sarcoma Diagnosis and Treatment
article

Computed tomography-based nutritional associated nomogram on machine learning predicts survival outcomes in patients with resectable soft-tissue sarcoma

Yuhan Yang
article en

Abstract

Our study implicated the prognostic value of multiple nutritional assessment indexes for prediction of clinical outcomes in STS, and patients' nutrition status need long-term surveillance and management.

World Journal of RadiologyVol. 18(2)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Sichuan University
Openalex Percentile: Top 46%
Sarcoma Diagnosis and Treatment
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