Desargues cloud TPS: a cloud-based automatic radiation treatment planning system for IMRT

The cloud-based automatic radiation treatment planning system, Desargues Cloud TPS, was designed and developed based on browser/server mode, where all the computing intensive functions were deployed on the server and user interfaces were implemented on the web. The communication between the browser and the server was through the local area network (LAN) of a radiotherapy institution. The automatic treatment planning module adopted a hybrid of both knowledge-based planning (KBP) and protocol-based automatic iterative optimization (PB-AIO), consisting of three steps: beam angle optimization (BAO), beam fluence optimization (BFO) and machine parameter optimization (MPO). 53 patients from two institutions have been enrolled in a multi-center self-controlled clinical validation. For each patient, three IMRT plans were designed. The plan A and B were designed on Desargues Cloud TPS using automatic planning without and with manual adjustments, respectively. The plan C was designed on Varian Eclipse TPS using fully manual planning. The efficacy indicators were heterogeneous index, conformity index, plan quality metric, overall operation time and plan optimization time. The safety indicators were gamma indices of dose verification.

Authors

Institutions

Publication Details

Journal
BioMedical Engineering OnLine
Published
2026-01-13
DOI
https://doi.org/10.1186/s12938-026-01510-z
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Desargues cloud TPS: a cloud-based automatic radiation treatment planning system for IMRT

Wei Zhan, Yu Pan, H. Chen, Yi Xin Shen et al.
BioMedical Engineering OnLine
Advanced Radiotherapy Techniques
article

Desargues cloud TPS: a cloud-based automatic radiation treatment planning system for IMRT

Wei Zhan, Yu Pan, H. Chen, Yi Xin Shen, Songbing Qin, Juying Zhou, X. George Xu, Jian Huan, Kuo Men, Jun Chen, He Wang, Jin Ye, Yu Tang, Chenlei Guo, Yin Zhou, Jie Ni, Jian Guo, Meng Zhu, Hui Liu, Long Chen
article en

Abstract

The cloud-based automatic radiation treatment planning system, Desargues Cloud TPS, was designed and developed based on browser/server mode, where all the computing intensive functions were deployed on the server and user interfaces were implemented on the web. The communication between the browser and the server was through the local area network (LAN) of a radiotherapy institution. The automatic treatment planning module adopted a hybrid of both knowledge-based planning (KBP) and protocol-based automatic iterative optimization (PB-AIO), consisting of three steps: beam angle optimization (BAO), beam fluence optimization (BFO) and machine parameter optimization (MPO). 53 patients from two institutions have been enrolled in a multi-center self-controlled clinical validation. For each patient, three IMRT plans were designed. The plan A and B were designed on Desargues Cloud TPS using automatic planning without and with manual adjustments, respectively. The plan C was designed on Varian Eclipse TPS using fully manual planning. The efficacy indicators were heterogeneous index, conformity index, plan quality metric, overall operation time and plan optimization time. The safety indicators were gamma indices of dose verification.

BioMedical Engineering OnLineVol. 25(1)
Ningbo University (CN), Sun Yat-sen University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), Sun Yat-sen University Cancer Center (CN), First Affiliated Hospital of Soochow University (CN), Ningbo University Affiliated Hospital (CN)
Good health and well-being
Openalex Percentile: Top 89%
Advanced Radiotherapy Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.