PET image nonuniformity texture features for metastasis risk prediction in osteosarcoma.

Journal: Nuclear medicine communications
Published Date:

Abstract

OBJECTIVE: PET image analysis provides tumor heterogeneity data related to neoadjuvant chemotherapy response (NACR) and metastatic risk in osteosarcoma. Ki-67 expression is used to predict metastasis. The accuracy of prediction models with image quantitative features can be improved by including genetic information. Here, we aimed to evaluate the accuracy of a combination of heterogeneous 18 F-fluorodeoxyglucose PET image texture features and Ki-67 expression as predictive indicators of metastasis.

Authors

  • Muath Almaslamani
    Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, 01812, Republic of Korea.
  • Byung-Hyun Byun
    Department of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences, Seoul, Republic of Korea.
  • Kanghyon Song
    Department of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences, Seoul, Republic of Korea.
  • Chang-Bae Kong
    Department of Orthopedic Surgery, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.
  • Sang-Keun Woo
    Division of RI-Convergence Research, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Republic of Korea.