Machine learning-based noninvasive quantification of single-imaging session dual-tracer 18F-FDG and 68Ga-DOTATATE dynamic PET-CT in oncology

Wenxiang Ding, Jiangyuan Yu, Chaojie Zheng, Peng Fu, Qiu Huang, David Dagan Feng, Zhi Yang, Richard L. Wahl, Yun Zhou

Research output: Contribution to journalArticlepeer-review

Abstract

68Ga-DOTATATE PET-CT is routinely used for imaging neuroendocrine tumor (NET) somatostatin receptor subtype 2 (SSTR2) density in patients, and is complementary to FDG PET-CT for improving the accuracy of NET detection, characterization, grading, staging, and predicting/monitoring NET responses to treatment. Performing sequential 18F-FDG and 68Ga-DOTATATE PET scans would require 2 or more days and can delay patient care. To align temporal and spatial measurements of 18F-FDG and 68Ga-DOTATATE PET, and to reduce scan time and CT radiation exposure to patients, we propose a single-imaging session dual-tracer dynamic PET acquisition protocol in the study. A recurrent extreme gradient boosting (rXGBoost) machine learning algorithm was proposed to separate the mixed 18F-FDG and 68Ga-DOTATATE time activity curves (TACs) for the region of interest (ROI) based quantification with tracer kinetic modeling. A conventional parallel multi-tracer compartment modeling method was also implemented for reference. Single-scan dual-tracer dynamic PET was simulated from 12 NET patient studies with 18F-FDG and 68Ga-DOTATATE 45-min dynamic PET scans separately obtained within 2 days. Our experimental results suggested an 18F-FDG injection first followed by 68Ga-DOTATATE with a minimum 5 min delayed injection protocol for the separation of mixed 18F-FDG and 68Ga-DOTATATE TACs using rXGBoost algorithm followed by tracer kinetic modeling is highly feasible.

Original languageEnglish
JournalIEEE Transactions on Medical Imaging
DOIs
StateAccepted/In press - 2021

Keywords

  • Dual-tracer single-imaging session
  • Heuristic algorithms
  • Imaging
  • kinetic modeling
  • Kinetic theory
  • machine learning
  • neuroendocrine tumor
  • PET
  • Positron emission tomography
  • Protocols
  • Radiotracer
  • Tumors

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