Advanced image reconstruction algorithms for high-resolution digital time-of-flight PET/CT enhance visualization of sub-clinical internal mammary lymph node metastases in breast cancer: a phantom and a clinical, retrospective cohort study

In both phantom and clinical images, smaller RS-values for HYPER Iterative and larger Str-values for uAI HYPER DPR were associated with higher lesion conspicuity and contrast-related metrics, at the expense of increased noise. Images reconstructed with a 256 × 256 matrix showed lower background variability than those reconstructed with a 512 × 512 matrix. In the clinical study, these reconstruction settings resulted in higher SUV<sub>max</sub> and tumor-to-background ratios for IMLN metastases, and visual scores for diagnostic confidence were higher for HYPER Iterative (RS = 0.7-0.91) and uAI HYPER DPR (Str = 2-4) than for OSEM.

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Journal
EJNMMI Physics
Published
2026-02-22
DOI
https://doi.org/10.1186/s40658-026-00846-8
Primary Topic
Medical Imaging Techniques and Applications
Type
article
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article

Advanced image reconstruction algorithms for high-resolution digital time-of-flight PET/CT enhance visualization of sub-clinical internal mammary lymph node metastases in breast cancer: a phantom and a clinical, retrospective cohort study

Xibin Quan, Yoko Satoh, Akinori Takenaka, Hiroshi Toyama et al.
EJNMMI Physics
Medical Imaging Techniques and Applications
article

Advanced image reconstruction algorithms for high-resolution digital time-of-flight PET/CT enhance visualization of sub-clinical internal mammary lymph node metastases in breast cancer: a phantom and a clinical, retrospective cohort study

Xibin Quan, Yoko Satoh, Akinori Takenaka, Hiroshi Toyama, Edwin K. Leung, Masanori Watanabe, Noriaki Miyaji, Seiichiro Ota, Tensho Yamao, Yoshitaka Inui, Masanori Inoue, Kenta Miwa
article en

Abstract

In both phantom and clinical images, smaller RS-values for HYPER Iterative and larger Str-values for uAI HYPER DPR were associated with higher lesion conspicuity and contrast-related metrics, at the expense of increased noise. Images reconstructed with a 256 × 256 matrix showed lower background variability than those reconstructed with a 512 × 512 matrix. In the clinical study, these reconstruction settings resulted in higher SUV<sub>max</sub> and tumor-to-background ratios for IMLN metastases, and visual scores for diagnostic confidence were higher for HYPER Iterative (RS = 0.7-0.91) and uAI HYPER DPR (Str = 2-4) than for OSEM.

EJNMMI PhysicsVol. 13(1)
Fukushima Medical University (JP), Fujita Health University (JP), Fujita Health University Hospital (JP), United Imaging Healthcare (China) (CN)
Good health and well-being
Openalex Percentile: Top 47%
Medical Imaging Techniques and Applications
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Advanced image reconstruction algorithms for high-resolution digital time-of-flight PET/CT enhance visualization of sub-clinical internal mammary lymph node metastases in breast cancer: a phantom and a clinical, retrospective cohort study — Xibin Quan, Yoko Satoh, et al. · EJNMMI Physics (2026) | TGRS Research Map | TGRS