PET/computed tomography radiomics combined with clinical features in predicting sarcopenia and prognosis of diffuse large B-cell lymphoma
ML models incorporating clinical and PET/CT radiomics features could effectively predict the presence of sarcopenia and assess the prognosis in patients with DLBCL.
Authors
- Han Xu (ORCID: https://orcid.org/0000-0002-6291-2924)
- Fanghu Wang (ORCID: https://orcid.org/0000-0002-9185-3054)
- Lei Jiang (ORCID: https://orcid.org/0000-0002-9479-132X)
- Yang Chen (ORCID: https://orcid.org/0000-0001-6993-4870)
- Hui Yuan (ORCID: https://orcid.org/0009-0009-9305-1942)
- Xiaoyue Tan (ORCID: https://orcid.org/0000-0002-3306-3919)
- Lijun Lu (ORCID: https://orcid.org/0000-0003-3315-3276)
- Wantong Lu
Institutions
- Key Laboratory of Guangdong Province (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Nuclear Medicine Communications
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1097/mnm.0000000000001925
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40