Dosimetric Impact of Physician Style Variations in Contouring CTV for Postoperative Prostate Cancer: A Deep Learning–Based Simulation Study

Research Articie July 11,2021

Anjali Balagopal ¹ , Dan Nguyen ² , Maryam Mashayekhi ³ , Howard Morgan ⁴ , Aurelie Garant ⁵ , Neil Desai ⁶ , Raquibul Hannan ⁷ , Mu-Han Lin ⁸ , Steve Jiang ⁹ hide author's information

1 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA
2 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA
3 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA
4 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA
5 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA
6 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA
7 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA
8 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA
9 : Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, 2280 Inwood Road, Dallas, TX, 75390-9303, USA

DOI: https://doi.org/10.2991/jaims.d.210623.001

Keywords: Treatment planning; Radiation therapy; Postoperative prostate cancer; Clinical tumor volume; Clinical workflow simulation; Deep learning

Cite this article: Balagopal A, Nguyen D, Mashayekhi M, Morgan H, Garant A, Desai N, Hannan R, Lin M-H, Jiang S. Dosimetric Impact of Physician Style Variations in Contouring CTV for Postoperative Prostate Cancer: A Deep Learning–Based Simulation Study. JAIMS [Internet]. 2021;2(1-2):85-96

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Abstract

Inter-observer variation is a significant problem in clinical target volume (CTV) segmentation in postoperative settings, where there is no gross tumor present. In this scenario, the CTV is not an anatomically established structure, but one determined by the physician based on the clinical guideline used, the preferred trade-off between tumor control and toxicity, their experience and training background, and other factors. This results in high inter-observer variability between physicians. ...