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A Nomogram to Predict the Histologic Grade in Patients With Soft Tissue Sarcoma Based on the Contrast-Enhanced
Mengjie Wu1, Hongjin Hua2, Hailing Zha1
1Department of Medical Ultrasound, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu PR, China.
Objective:
To develop a nomogram for histologic prediction in soft tissue sarcoma (STS) using contrast-enhanced ultrasound (CEUS) and conventional US parameters.
Methods:
Between November 2018 and August 2023, eighty-six consecutive adult participants with pathologically confirmed STS will be recruited retrospectively in this study. The histologic grade of STS was assessed according to the Fédération Nationale des Centres de Lutte Contre le Cancer (FNCLCC) system, including low-grade (Grade 1) and high-grade (Grade 2 and 3). Parameters of conventional US, qualitative and quantitative CEUS were analyzed. Multivariate analyses were performed by using binary logistic regression to build three models (conventional model, CEUS model, and hybrid nomogram) among clinical, conventional US, and CEUS parameters for histologic grading.
Results:
The CEUS parameters of perfusion pattern (OR = 3.324; p = 0.028), Rising Slope (OR = 4.041; p = 0.002), Rising Time (OR = 1.221; p = 0.004), and 50% washout time (OR = 0.973; p = 0.016) were independently significant predictors of high-grade STS. The hybrid nomogram based on CEUS features and clinical-US characteristics achieved an AUC of 0.829 (95% CI, 0.760-0.899) for predicting the histologic grade in STS. The hybrid nomogram outperformed the conventional model and the CEUS model (p < 0.05).
Conclusion:
The hybrid nomogram incorporating CEUS variables may have practical value in the preoperative prediction of STS histologic grading.
