Framing protocol optimization in oncological Patlak parametric imaging with uKinetics

Qing Ye; Hao Zeng; Yizhang Zhao; Weiguang Zhang; Yun Dong; Wei Fan; Yihuan Lu

doi:10.1186/s40658-023-00577-0

Framing protocol optimization in oncological Patlak parametric imaging with uKinetics

EJNMMI Phys. 2023 Sep 12;10(1):54. doi: 10.1186/s40658-023-00577-0.

Authors

Qing Ye¹, Hao Zeng¹, Yizhang Zhao¹, Weiguang Zhang², Yun Dong¹, Wei Fan², Yihuan Lu³

Affiliations

¹ Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China.
² Sun Yat-Sen University Cancer Center, Guangzhou, China.
³ Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China. yihuan.lu@united-imaging.com.

Abstract

Purpose: Total-body PET imaging with ultra-high sensitivity makes high-temporal-resolution framing protocols possible for the first time, which allows to capture rapid tracer dynamic changes. However, whether protocols with higher number of temporal frames can justify the efficacy with substantially added computation burden for clinical application remains unclear. We have developed a kinetic modeling software package (uKinetics) with the advantage of practical, fast, and automatic workflow for dynamic total-body studies. The aim of this work is to verify the uKinetics with PMOD and to perform framing protocol optimization for the oncological Patlak parametric imaging.

Methods: Six different protocols with 100, 61, 48, 29, 19 and 12 temporal frames were applied to analyze 60-min dynamic ¹⁸F-FDG PET scans of 10 patients, respectively. Voxel-based Patlak analysis coupled with automatically extracted image-derived input function was applied to generate parametric images. Normal tissues and lesions were segmented manually or automatically to perform correlation analysis and Bland-Altman plots. Different protocols were compared with the protocol of 100 frames as reference.

Results: Minor differences were found between uKinetics and PMOD in the Patlak parametric imaging. Compared with the protocol with 100 frames, the relative difference of the input function and quantitative kinetic parameters remained low for protocols with at least 29 frames, but increased for the protocols with 19 and 12 frames. Significant difference of lesion K_i values was found between the protocols with 100 frames and 12 frames.

Conclusion: uKinetics was proved providing equivalent oncological Patlak parametric imaging comparing to PMOD. Minor differences were found between protocols with 100 and 29 frames, which indicated that 29-frame protocol is sufficient and efficient for the oncological ¹⁸F-FDG Patlak applications, and the protocols with more frames are not needed. The protocol with 19 frames yielded acceptable results, while that with 12 frames is not recommended.

Keywords: Patlak; Protocol optimization; Total-body PET; uKinetics.