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DOE OSTI · 23200837

Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617

Thor, Maria·Apte, Aditya·Haq, Rabia·Iyer, Aditi·LoCastro, Eve·Deasy, Joseph O.
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Abstract

Contouring inconsistencies are known but understudied in clinical radiation therapy trials. We applied auto-contouring to the Radiation Therapy Oncology Group (RTOG) 0617 dose escalation trial data. We hypothesized that the trial heart doses were higher than reported due to inconsistent and insufficient heart segmentation. We tested our hypothesis by comparing doses between deep-learning (DL) segmented hearts and trial hearts.

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62 RADIOLOGY AND NUCLEAR MEDICINECLINICAL TRIALSHEARTMACHINE LEARNINGRADIATION DOSESRADIOTHERAPYSIMULATION

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BibTeXRIS

Thor, Maria, Apte, Aditya, Haq, Rabia, Iyer, Aditi, LoCastro, Eve, Deasy, Joseph O.. 2021-04-15. Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617. https://doi.org/10.1016/j.ijrobp.2020.11.011

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