Health AI Central
Share:
Peer-Reviewed Publication
J Appl Clin Med Phys2026;27(8):e70698.August 1, 2026Journal Article

Commissioning and performance evaluations of the electron Monte Carlo algorithm in a new commercial treatment planning system.

Feng Wang1,2,3, Xuming Jiang1,2,3, Zhi Shi4, Yanfang Liu4, Yibin Zhang1,2,3, Jiayi Chen1,2,3
1Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
2Shanghai Key Laboratory of Proton Therapy, Shanghai, China.
3Institute for Medical Imaging Technology, Shanghai, China.
4Shanghai United Imaging Healthcare Co., Shanghai, China.
PubMed DOI

Abstract

PURPOSE: This study provides a comprehensive evaluation of the newly implemented electron Monte Carlo dose calculation algorithm in the commercial treatment planning system, uTPS. It investigates the performance of the algorithm by examining its dosimetric accuracy and calculation speed, which have not been previously reported in the literature. METHODS: To evaluate the dose calculation accuracy…

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.