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Differential diagnosis of benign and malignant vertebral compression fractures: Comparison and correlation of radiomics and deep learning frameworks based on spinal CT and clinical characteristics.
Duan, Shuo; Hua, Yichun; Cao, Guanmei; Hu, Junnan; Cui, Wei; Zhang, Duo; Xu, Shuai; Rong, Tianhua; Liu, Baoge.
Affiliation
  • Duan S; Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, China.
  • Hua Y; Department of Medical Oncology, Beijing Tiantan Hospital, Capital Medical University, China.
  • Cao G; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, China.
  • Hu J; Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, China.
  • Cui W; Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, China.
  • Zhang D; Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, China.
  • Xu S; Department of Spinal Surgery, Peking University People's Hospital, Peking University, China.
  • Rong T; Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, China.
  • Liu B; Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, China; China National Clinical Research Center for Neurological Diseases, Beijing, China. Electronic address: baogeliu@hotmail.com.
Eur J Radiol ; 165: 110899, 2023 Aug.
Article in En | MEDLINE | ID: mdl-37300935

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Fractures / Fractures, Compression / Deep Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Eur J Radiol Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Fractures / Fractures, Compression / Deep Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Eur J Radiol Year: 2023 Document type: Article Affiliation country: Country of publication: