| Autor: |
Charlotte E. Shelley, Matthew A. Bolt, Rachel Hollingdale, Susan J. Chadwick, Andrew P. Barnard, Miriam Rashid, Selina C. Reinlo, Nawda Fazel, Charlotte R. Thorpe, Alexandra J. Stewart, Chris P. South, Elizabeth J. Adams |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Clinical and Translational Radiation Oncology, Vol 40, Iss , Pp 100596- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2405-6308 |
| DOI: |
10.1016/j.ctro.2023.100596 |
| Popis: |
Background and purpose: Adaptive radiotherapy (ART) in locally advanced cervical cancer (LACC) has shown promising outcomes. This study investigated the feasibility of cone-beam computed tomography (CBCT)-guided online ART (oART) for the treatment of LACC. Material and methods: The quality of the automated radiotherapy treatment plans and artificial intelligence (AI)-driven contour delineation for LACC on a novel CBCT-guided oART system were assessed. Dosimetric analysis of 200 simulated oART sessions were compared with standard treatment. Feasibility of oART was assessed from the delivery of 132 oART fractions for the first five clinical LACC patients. The simulated and live oART sessions compared a fixed planning target volume (PTV) margin of 1.5 cm around the uterus-cervix clinical target volume (CTV) with an internal target volume-based approach. Workflow timing measurements were recorded. Results: The automatically-generated 12-field intensity-modulated radiotherapy plans were comparable to manually generated plans. The AI-driven organ-at-risk (OAR) contouring was acceptable requiring, on average, 12.3 min to edit, with the bowel performing least well and rated as unacceptable in 16 % of cases. The treated patients demonstrated a mean PTV D98% (+/-SD) of 96.7 (+/- 0.2)% for the adapted plans and 94.9 (+/- 3.7)% for the non-adapted scheduled plans (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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