Artificial intelligence-based radiomics on computed tomography of lumbar spine in subjects with fragility vertebral fractures.
E BiamonteR LeviF CarroneW VenaA BrunettiM BattagliaF GaroliG SaviniM RivaA OrtolinaM TomeiG AngelottiM E LainoV SavevskiM MolluraM FornariR BarbieriA G LaniaM GrimaldiLetterio Salvatore PolitiG MazziottiPublished in: Journal of endocrinological investigation (2022)
Artificial intelligence-based analyses on spine CT images identified RFs associated with fragility VFs. Future studies are needed to test the predictive value of RFs on opportunistic CT scans in identifying subjects with primary and secondary osteoporosis at high risk of fracture.
Keyphrases
- artificial intelligence
- computed tomography
- dual energy
- contrast enhanced
- deep learning
- image quality
- machine learning
- big data
- positron emission tomography
- magnetic resonance imaging
- bone mineral density
- postmenopausal women
- magnetic resonance
- convolutional neural network
- current status
- lymph node metastasis
- body composition
- optical coherence tomography
- case control