CT-based machine learning radiomics predicts CCR5 expression level and survival in ovarian cancer

• Main Authors: Sheng Wan (Author), Tianfan Zhou (Author), Ronghua Che (Author), Ying Li (Author), Jing Peng (Author), Yuelin Wu (Author), Shengyi Gu (Author), Jiejun Cheng (Author), Xiaolin Hua (Author)
• Format: Book
• Published: BMC, 2023-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Objective We aimed to evaluate the prognostic value of C-C motif chemokine receptor type 5 (CCR5) expression level for patients with ovarian cancer and to establish a radiomics model that can predict CCR5 expression level using The Cancer Imaging Archive (TCIA) and The Cancer Genome Atlas (...