Predicting Response to Somatostatin Analog Therapy in GEP-NET Liver Metastases: A Machine Learning Approach with ⁶⁸Ga-DOTATATE and ¹⁸F-FDG PET/CT.
- DOI
- 10.1016/j.acra.2026.08.115
- Published
- 2026 Sep 18
- Container
- Academic radiology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.acra.2026.08.115,
title = {Predicting Response to Somatostatin Analog Therapy in GEP-NET Liver Metastases: A Machine Learning Approach with ⁶⁸Ga-DOTATATE and ¹⁸F-FDG PET/CT.},
author = {Xu J and Yu M and Wang J and Huang N and Qu R and Yao J and Shan R and Wang K and Lian J and Lu H},
year = {2026},
journal = {Academic radiology},
doi = {10.1016/j.acra.2026.08.115},
url = {https://doi.org/10.1016/j.acra.2026.08.115}
}RIS
TY - JOUR TI - Predicting Response to Somatostatin Analog Therapy in GEP-NET Liver Metastases: A Machine Learning Approach with ⁶⁸Ga-DOTATATE and ¹⁸F-FDG PET/CT. AU - Xu J AU - Yu M AU - Wang J AU - Huang N AU - Qu R AU - Yao J AU - Shan R AU - Wang K AU - Lian J AU - Lu H PY - 2026 JO - Academic radiology DO - 10.1016/j.acra.2026.08.115 UR - https://doi.org/10.1016/j.acra.2026.08.115 ER -
APA
J, X., M, Y., J, W., N, H., R, Q., J, Y., R, S., K, W., J, L., & H, L. (2026). Predicting Response to Somatostatin Analog Therapy in GEP-NET Liver Metastases: A Machine Learning Approach with ⁶⁸Ga-DOTATATE and ¹⁸F-FDG PET/CT.. Academic radiology. https://doi.org/10.1016/j.acra.2026.08.115
Source records
- pubmed · retrieved 2026-09-25T05:04:21.050Z