Preoperative prediction of high-grade osteosarcoma response to neoadjuvant therapy based on a plain CT radiomics model: A dual-center study

Preoperative prediction of high-grade osteosarcoma response to neoadjuvant therapy based on a plain CT radiomics model: A dual-center study

Objective: To develop a model combining clinical and radiomics features from CT scans for a preoperative noninvasive evaluation of Huvos grading of neoadjuvant chemotherapy in patients with HOS. Methods: 183 patients from center A and 42 from center B were categorized into training and validation se...

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Bibliographic Details
Main Authors: Fan Yang, Ying Feng, Pengfei Sun, Alberto Traverso, Andre Dekker, Bin Zhang, Zhen Huang, Zhixiang Wang, Dong Yan
Format: Article
Language:English
Published: Elsevier 2024-08-01
Series:Journal of Bone Oncology
Subjects:
Logistic models
CT
Osteosarcoma
Neoadjuvant therapy
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2212137424000940

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http://www.sciencedirect.com/science/article/pii/S2212137424000940

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