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Visual reading for [18F]Florzolotau Tau PET scans in progressive supranuclear palsy

  • Feng-Tao Liu,
  • Jia-Ying Lu,
  • Xin-Yi Li,
  • Jing-Jie Ge,
  • Yi-Min Sun,
  • Tzu-Chen Yen,
  • Fang-Yang Jiao,
  • Ming-Jia Chen,
  • Jun Zhao,
  • Rui-Xin Yao,
  • Gan Tang,
  • Hao Xu,
  • Xiao-Li Lan,
  • Jie Lu,
  • Rui-Xue Cui,
  • Matthias Brendel,
  • Kuangyu Shi,
  • Yi-Hui Guan,
  • Axel Rominger,
  • Jian Wang,
  • Chuan-Tao Zuo

摘要

Purpose

The identification of tau accumulation within living brains holds significant potential in facilitating accurate diagnosis of progressive supranuclear palsy (PSP). While visual assessment is frequently employed, standardized methods for tau positron emission tomography (PET) specifically in PSP are absent. We aimed to develop a visual reading algorithm dedicated to the evaluation of [18F]Florzolotau PET in PSP.

Methods

148 PSP and 30 healthy volunteers were divided into a development set (for the establishment of the reading rules; n = 89) and a testing set (for the validation of the reading rules; n = 89). For differential diagnosis, 55 α-synucleinopathies were additionally included into the testing set. The visual reading method was established by an experienced assessor (Reader 0) and was then validated by Reader 0 and two additional readers on regional and overall binary manners. A positive binding in both midbrain and globus pallidus/putamen regions was characterized as a PSP-like pattern, whereas any other pattern was classified as non-PSP-like.

Results

Reader 1 (94.4%) and Reader 2 (93.8%) showed excellent agreement for the overall binary determination against Reader 0. The regional binary determinations of midbrain and globus pallidus/putamen showed excellent agreement among readers (kappa > 0.80). The overall binary evaluation demonstrated reproducibility of 86.1%, 94.4% and 77.8% for three readers. The visual reading algorithm showed high agreement with regional standardized uptake value ratios and clinical diagnoses.

Conclusion

Through the application of the suggested visual reading algorithm, [18F]Florzorotau PET imaging demonstrated a robust performance for the imaging diagnosis of PSP.