A Method and System for Radiotherapy Planning Re-optimization Based on Target Inheritance and Flow Resetting

CN121911035BActive Publication Date: 2026-06-30CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
Filing Date
2026-02-05
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing radiotherapy planning optimization methods have limitations in path-dependent problems, making it difficult to achieve a globally optimal solution. Furthermore, existing adjustment methods may alter clinical objectives and introduce uncertainty and deviation.

Method used

By using target inheritance and photon flow reset, the target set of the initial plan is frozen, a duplicate plan is created and historical parameters are cleared, and the reverse optimizer is used to optimize from scratch to generate a re-optimized soft plan. Dosage calculation and parameter solving are then performed to ensure global search is achieved under the same clinical intent.

Benefits of technology

It significantly reduces the dose to organs at risk, improves the dosimetric quality of radiotherapy planning, ensures enhanced certainty in planning quality, and maintains target dose compliance, making it suitable for effective treatment of difficult cases.

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Abstract

This invention discloses a method and system for re-optimizing radiotherapy plans based on target inheritance and photon flow reset, relating to the fields of medical physics and radiotherapy technology. The method includes obtaining the initial radiotherapy plan for a patient from a treatment planning system; extracting a patient-specific target set from the initial radiotherapy plan to form a configuration file independent of the initial radiotherapy plan; and prohibiting modification of the configuration file in subsequent optimizations to achieve target freezing, resulting in a frozen target set. This invention, through a strategy combining target inheritance, freezing, and photon flow reset, enables the optimizer to break free from the constraints of the initial plan's historical parameters and restart the global search from a blank state, under the same clinical intent. This fundamentally breaks the local optimum locking caused by path dependence in traditional inverse optimization, systematically and significantly reducing the dose to organs at risk while maintaining target dose compliance, thus achieving a deterministic improvement in plan quality.
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