Predicting lung metastasis in high-grade osteosarcoma: The role of computed tomography angiography (CTA) signs with a focus on vascular wrapping and the intratumoral vascular network
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective: Osteosarcoma is a highly malignant bone tumor with a high incidence of lung metastases (LM), significantly impacting the 5-year survival rate of patients. This study aims to predict lung metastasis in osteosarcoma based on computed tomography angiography (CTA) signs. Methods: A retrospective study was conducted involving 89 consecutive patients with osteosarcoma. Clinical features and CTA signs, including age, gender, laterality, primary site, type of bone destruction, T stage, periosteal reaction, tumor length, bone marrow involved length, vascular wrapping, and intratumoral vascular network, were evaluated. Univariate and multivariate logistic regression analyses were used to identify risk factors for LM, followed by receiver operating characteristic (ROC) curve analysis. Results: < 0.05). The intratumoral vascular network remained an independent risk factor in multivariable regression analysis. ROC curve analysis demonstrated that the area under the curve (AUC) of the logistic regression model was 0.804, indicating good predictive accuracy. Conclusion: Preliminary findings suggest that CTA signs, particularly vascular wrapping and the intratumoral vascular network, may have potential utility in predicting lung metastasis (LM) in osteosarcoma patients. The intratumoral vascular network, in particular, was identified as an independent risk factor.
Source: Journal of bone oncology
Authors: Zhendong Luo, Tao Ai, Zhiqiang Liu, Litong He, Yanzhen Hou, Yulin Li, Ziyan Zhou, Xinping Shen
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,990
Awards: G5300988249, G5331371514
OpenAlex ID: W4410230443
