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Practical radiation oncology

Clinical Implementation and Evaluation of an Artificial Intelligence-Driven One-Click Automatic Planning System for Functional Lung Avoidance Radiotherapy

This study implemented AP-FLART, which integrates dosimetric score-based beam angle selection, multi-modality-guided dose prediction, and function-guided dose mimicking, within RayStation and evaluated it on a test dataset of 33 lung cancer patients who underwent SPECT ventilation or perfusion imaging and lung radiotherapy, finding that automatic FLART plans significantly reduced high-function lung mean dose by 15.1% versus manual conventional radiotherapy plans, lowered the probability of grade >=2 radiation pneumonitis by 6.25 percentage points (27%) among FLART-benefiting patients, achieved clinical benefits similar to manual FLART plans, were clinically acceptable without modification in 87.9% of cases, and cut planning time from 2-3 hours to approximately 8 minutes.