Health AI Central
Peer-Reviewed Publication
Biomed Phys Eng Express2026September 24, 2026Journal Article

Operational Reliability of an Automated ¹⁷⁶Lu-Based Daily Quality Control System: A Five-Month Continuous Monitoring Study in Digital PET/CT.

Shuguang Chen1, Xiaoguang Hou2, Chao Wang3, Hongcheng Shi2
1Zhongshan hospital Department of Nuclear Medicine, Zhongshan Hospital Fudan University, 180 Fenglin Rd., Shanghai, China, Shanghai, Shanghai, 200032, China.
2Department of Nuclear Medicine, Zhongshan Hospital Fudan University, 180 Fenglin Rd., Shanghai, China, Shanghai, Shanghai, 200032, China.
3Shanghai United Imaging Healthcare co.,ltd., 2258 Chengbei Road, Jiading District, Shanghai, SHANGHAI, 208017, China.
PubMed DOI

Abstract

This study aimed to evaluate the feasibility of background quality control (QC) as a novel approach for monitoring time-of-flight (TOF) and energy drift in uMI 550 positron emission tomography-computed tomography (PET/CT) systems.
Methods: Three experiments were conducted to compare 176Lu background QC with conventional radioactive source QC. These included multi-system validation, long-term c…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.