To investigate the feasibility of deep learning-assisted rapid silent PET/MR in pediatric applications.
This study aims to address the challenges faced by PET/MR in pediatric applications by leveraging new technologies such as flexible coils, silent sequences, and deep learning-based image reconstruction. The objective is to provide a rapid, silent, comfortable, and half-dose PET/MR imaging solution for pediatric patients, and to demonstrate its feasibility in this patient population.
Study Type
OBSERVATIONAL
Enrollment
35
China, Shanghai Ruijin Hospital affiliated to Shanghai Jiao Tong University of Medicine
Shanghai, Shanghai Municipality, China
RECRUITINGLesion detection rate
Routine laboratory or imaging tests or pathology are performed based on clinical needs to assess the accuracy, sensitivity and specificity of rapid silent 18F-FDG PET/MR for lesion detection.
Time frame: 1 year
Completion of PET/MR examinations
Upon completion of the examination, record the rate of completion
Time frame: 1 year
Sedation during PET/MR examinations
Upon completion of the examination, record the rate of sedation and rate of secondary sedation
Time frame: 1 year
Qualitative image quality
Two experienced nuclear medicine physicians evaluated the overall quality of the images using a Likert 5-point scale for both the new imaging PET/MR protocol and the traditional imaging protocol.
Time frame: 1 year
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