Year: 2025
Type: article
Abstract: INTRODUCTION: treatment planning system v. 5.5.1 (Elekta AB, Stockholm, Sweden). Few studies have reported the usefulness of Adapt Anatomy for adaptive radiation therapy (ART) in clinical cases. This study aimed to investigate the accuracy of Adapt Anatomy for lung tumor lesions. METHODS: Ten patients with lung cancer were treated at our hospital, and treatment plans were formulated again during the radiotherapy course. Each patient's gross tumor volume (GTV), lung, cord, heart, and esophagus were contoured manually by radiation oncologists and automatically by Adapt Anatomy on replanning computed tomography (rCT) images. The structures were also contoured on cone-beam computed tomography (CBCT) images obtained on the same days as the rCT images, using Adapt Anatomy. The structural volumes contoured using Adapt Anatomy were compared with those contoured by the radiation oncologists. The dice similarity coefficient (DSC) and overlap index (OI) were calculated for each structure. Additionally, the DSC and OI calculated for the GTV on the CBCT images were compared with the values calculated from the rCT images. RESULTS: The automatic contour volumes for all of the structures did not differ significantly from the manual contour volumes, except for heart and esophagus volumes. The DSC and OI values for all of the structures were >0.8, except for the esophagus. The DSC and OI values for the esophagus were 0.73±0.070 and 0.68±0.10, respectively. The DSC and OI values calculated for the CBCT images did not differ significantly from those calculated for the rCT ones (p=0.208, 0.401, respectively). CONCLUSION: Adapt Anatomy showed sufficient accuracy compared to the other software solutions, and we concluded that there is a possibility that Adapt Anatomy may be useful for performing ART on CBCT images. However, careful reviews by radiation oncologists are warranted in clinical cases because its accuracy varies significantly in certain structures such as the esophagus.
Source: Cureus
DOI: 10.7759/cureus.81913
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409260278