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Pretreatment Prediction of Relapse Risk in Patients with Osteosarcoma Using Radiomics Nomogram Based on CT: A

Jin Liu¹, Tao Lian², Haimei Chen¹

¹Department of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong 510630, China.

Biomed Research International

|February 22, 2021

Summary

This study developed a CT-based radiomics nomogram to predict osteosarcoma relapse risk within one year. The nomogram, combining radiomics and clinical factors, showed improved predictive value and clinical usefulness across institutions.

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Area of Science:

Oncology
Radiology
Medical Imaging

Background:

Osteosarcoma relapse poses a significant challenge in patient management.
Accurate pretreatment prediction of relapse is crucial for timely therapeutic adjustments.

Purpose of the Study:

To develop and externally validate a computed tomography (CT)-based radiomics nomogram for predicting one-year relapse risk in osteosarcoma patients.
To assess the nomogram's performance in discrimination, calibration, and clinical utility.

Main Methods:

A multicenter retrospective study involving 80 osteosarcoma patients (63 training, 17 validation).
Radiomics features were extracted from CT images and a radiomics signature was constructed.
A radiomics nomogram integrating the signature and clinical factors was developed using a multivariate Cox regression model.

Main Results:

The radiomics signature significantly differentiated high-risk from low-risk groups in both cohorts (P < 0.001, P = 0.015).
The radiomics nomogram demonstrated good discrimination (C-indices: 0.779 training, 0.710 validation) and calibration.
The proposed model significantly improved clinical benefit compared to clinical-based nomograms (P < 0.001).

Conclusions:

A CT-based radiomics nomogram effectively predicts osteosarcoma relapse risk.
The nomogram integrates radiomics signature and clinical factors, enhancing predictive accuracy.
This tool supports clinical application for improved osteosarcoma management in diverse healthcare settings.