Feasibility of simplified Patlak parametric imaging with scaled population-based input function on pancreatic cancer
The sPBIF approach enables the acquisition of additional Patlak parametric images alongside static SUV imaging in pancreatic cancer patients. K<sub>i</sub> parametric imaging provided higher contrast than static imaging for detecting pancreatic lesions.
Authors
- Taiping Zhang (ORCID: https://orcid.org/0000-0003-2950-0335)
- Mengshi Yan (ORCID: https://orcid.org/0000-0002-8445-1612)
- Li Huo (ORCID: https://orcid.org/0000-0003-1216-083X)
- Chao Ren (ORCID: https://orcid.org/0000-0002-5418-3354)
- Zhenghai Huang
- Xinchun Yan
- Yonghong Dang (ORCID: https://orcid.org/0000-0002-3113-1295)
- Wenming Wu (ORCID: https://orcid.org/0000-0002-2586-2868)
- Jiangdong Qiu (ORCID: https://orcid.org/0009-0007-9406-4863)
- Haiqiong Zhang
- Zhixin Hao
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- EJNMMI Physics
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1186/s40658-025-00758-z
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Medical Sciences
- Peking Union Medical College Hospital