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Radiation: Applications

Radiation: Applications

The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...

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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

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Published on: April 11, 2018

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

Jian Guo¹, Songbing Qin¹, Chenlei Guo²

¹Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.

Biomedical Engineering Online

|January 14, 2026

Summary

A new cloud-based automated treatment planning system (Desargues Cloud TPS) offers efficient intensity-modulated radiation therapy planning. It demonstrates comparable or superior efficacy and safety to traditional methods, enhancing treatment delivery.

Keywords:

Automatic treatment planning Cloud computing IMRT Multi-center clinical validation Radiotherapy Remote collaboration and consultation

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Area of Science:

Radiation Oncology
Medical Physics
Computational Biology

Background:

Intensity-modulated radiation therapy (IMRT) planning is complex and time-consuming.
Automated treatment planning systems aim to improve efficiency and consistency.
Cloud-based solutions offer potential for accessibility and scalability in radiotherapy.

Purpose of the Study:

To develop and evaluate a novel cloud-based automated treatment planning system (Desargues Cloud TPS) for IMRT.
To assess the efficacy and safety of the system across various tumor sites.
To compare the performance of the automated system against traditional manual planning.

Main Methods:

Development of a browser/server-based cloud system (Desargues Cloud TPS) integrating knowledge-based planning (KBP) and protocol-based automatic iterative optimization (PB-AIO).
Multi-center clinical validation involving 53 patients, generating three IMRT plans per patient: automatic (Plan A), automatic with manual adjustment (Plan B), and fully manual (Plan C on Varian Eclipse).
Evaluation of efficacy indicators (heterogeneity index, conformity index, plan quality metric, operation time) and safety indicators (gamma indices for dose verification).

Main Results:

All plans met the PTV prescription dose coverage requirement (≥95%).
Plans A and B showed significantly superior plan quality metrics (PQM), overall operation time (OOT), and plan optimization time (POT) compared to Plan C, except for the conformity index (CI) of Plan A.
No statistically significant difference was found in dose accuracy (gamma indices) between Plan B and Plan C, indicating comparable safety.

Conclusions:

The Desargues Cloud TPS demonstrates comparable overall efficacy and safety to Varian Eclipse for IMRT.
Automatic planning with or without manual adjustments can yield superior results compared to fully manual planning.
The cloud-based system enhances treatment planning efficiency and facilitates knowledge sharing in radiotherapy.