Prospects for daily online adaptive radiotherapy via ethos for prostate cancer patients without nodal involvement using unedited CBCT auto‐segmentation

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 au...

Full description

Saved in:
Bibliographic Details
Published in:Journal of applied clinical medical physics 2021-10, Vol.22 (10), p.82-93
Main Authors: Moazzezi, Mojtaba, Rose, Brent, Kisling, Kelly, Moore, Kevin L., Ray, Xenia
Format: Article
Language:English
Subjects:
Adaptation
Adaptive Radiation Therapy
Artificial intelligence
Auto‐planning
Auto‐segmentation
Cancer therapies
Cone-Beam Computed Tomography
Cone‐Beam CT
Dosimetry
Humans
Male
Online Adaptation
Optimization
Organs at Risk
Patients
Planning
Prostate Cancer
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - radiotherapy
Radiation Oncology Physics
Radiation therapy
Radiotherapy Planning, Computer-Assisted
Registration
Software
Spiral Cone-Beam Computed Tomography
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 (
ISSN:1526-9914
1526-9914
DOI:10.1002/acm2.13399