Enhancing precision: A predictive model for 177 Lu-DOTATATE treatment response in neuroendocrine tumors using quantitative 68 Ga-DOTATATE PET and clinicopathological biomarkers
Published inTheranostics, vol. 14, no. 9, p. 3708-3718
Publication date2024
Abstract
Keywords
- SSTR-PET
- Images-based features
- NET
- PRRT
- Outcome prediction
Research group
Funding
- Swiss National Science Foundation - Precision Medicine in Molecular Radiotherapy using Deep Learning [211066]
- European Commission - Radiation risk appraisal for detrimental effects from medical exposure during management of patients with lymphoma or brain tumour [945196]
Citation (ISO format)
AKHAVANALLAF, Azadeh et al. Enhancing precision: A predictive model for 177 Lu-DOTATATE treatment response in neuroendocrine tumors using quantitative 68 Ga-DOTATATE PET and clinicopathological biomarkers. In: Theranostics, 2024, vol. 14, n° 9, p. 3708–3718. doi: 10.7150/thno.98053
Main files (1)
Article (Published version)
Identifiers
- PID : unige:178224
- DOI : 10.7150/thno.98053
Commercial URLhttps://www.thno.org/v14p3708.htm
ISSN of the journal1838-7640