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Prospects for daily online adaptive radiotherapy via ethos for prostate cancer patients without nodal involvement using unedited CBCT auto-segmentation.
Moazzezi, Mojtaba; Rose, Brent; Kisling, Kelly; Moore, Kevin L; Ray, Xenia.
Afiliação
  • Moazzezi M; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Rose B; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Kisling K; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Moore KL; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
  • Ray X; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
J Appl Clin Med Phys ; 22(10): 82-93, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34432932
PURPOSE:  Implementing new online adaptive radiation therapy technologies is challenging because extra clinical resources are required particularly expert contour review. Here, we provide the first assessment of Varian's Ethos™ adaptive platform for prostate cancer using no manual edits after auto-segmentation to minimize this impact on clinical efficiency. METHODS: Twenty-five prostate patients previously treated at our clinic were re-planned using an Ethos™ emulator. Clinical target volumes (CTV) included intact prostate and proximal seminal vesicles. The following clinical margins were used: 3 mm posterior, 5 mm left/right/anterior, and 7 mm superior/inferior. Adapted plans were calculated for 10 fractions per patient using Ethos's auto-segmentation and auto-planning workflow without manual contouring edits. Doses and auto-segmented structures were exported to our clinical treatment planning system where contours were modified as needed for all 250 CTVs and organs-at-risk. Dose metrics from adapted plans were compared to unadapted plans to evaluate CTV and OAR dose changes. RESULTS: Overall 96% of fractions required auto-segmentation edits, although corrections were generally minor (<10% of the volume for 70% of CTVs, 88% of bladders, and 90% of rectums). However, for one patient the auto-segmented CTV failed to include the superior portion of prostate that extended into the bladder at all 10 fractions resulting in under-contouring of the CTV by 31.3% ± 6.7%. For the 24 patients with minor auto-segmentation corrections, adaptation improved CTV D98% by 2.9% ± 5.3%. For non-adapted fractions where bladder or rectum V90% exceeded clinical thresholds, adaptation reduced them by 13.1% ± 1.0% and 6.5% ± 7.3%, respectively. CONCLUSION:  For most patients, Ethos's online adaptive radiation therapy workflow improved CTV D98% and reduced normal tissue dose when structures would otherwise exceed clinical thresholds, even without time-consuming manual edits. However, for one in 25 patients, large contour edits were required and thus scrutiny of the daily auto-segmentation is necessary and not all patients will be good candidates for adaptation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Tomografia Computadorizada de Feixe Cônico Espiral Tipo de estudo: Etiology_studies / Guideline Limite: Humans / Male Idioma: En Revista: J Appl Clin Med Phys Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Tomografia Computadorizada de Feixe Cônico Espiral Tipo de estudo: Etiology_studies / Guideline Limite: Humans / Male Idioma: En Revista: J Appl Clin Med Phys Ano de publicação: 2021 Tipo de documento: Article