Development and validation of an AI-based lung lobe auto-contouring tool using radiation therapy planning free-breathing images.

Peter Ciaccio¹, Joseph Lombardo², Andrew Fuquay³, Soroush Pahlavian⁴, Rachel Grimm⁵, Jun Kang³, Wookjin Choi³, Paul Sullivan³, Yevgeniy Vinogradskiy³

¹Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, United States.

²Cooper Health System Center for Allied Health Education, Camden, United States.

³Thomas Jefferson University Hospitals, Philadelphia, United States.

⁴MIM Software Inc, Cleveland, United States.

⁵Montefiore Health System Inc, New York, United States.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Pulmonary toxicity can occur during radiation therapy of the lungs. Dose metrics evaluated at the lobar level can improve the ability to predict toxicity. Contouring lung lobes is challenging and time consuming. Currently there are limited dosimetry studies evaluating the dose to lung lobes. The purpose of this work was to develop and validate an artificial intelligence (AI) lung lobe…

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