The versatility of evolutionary intelligent tri-objective treatment planning for cervical cancer brachytherapy.

Background: A multi-objective automated treatment planning approach, called BRIGHT, has demonstrated success in prostate cancer brachytherapy (BT). BRIGHT optimizes directly on dose-volume metrics, aligning with clinical protocol goals, and produces multiple plans that represent different trade-offs between tumor coverage and healthy organ sparing. Current automated treatment planning methods either do not optimize directly on dose-volume metrics or generate a single plan, which is only considered optimal in the specific optimization model.

Margin and robustness settings for a library-of-plans IMPT strategy for locally advanced cervical cancer.

This study aims to determine a margin and robustness setting for treating locally advanced cervical cancer (LACC) with a library-of-plans (LoP) based online-adaptive intensity-modulated proton therapy (IMPT).We analyzed 13 LACC patients with delineated planning and weekly repeat CT scans (reCTs). For each patient, 120 IMPT treatments of 25 fractions were simulated with a LoPs approach.