ArticleRadiation oncology (London, England)2023
Online adaptive radiotherapy for bladder cancer using a simultaneous integrated boost and fiducial markers.
Article in Radiation oncology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 19 citations in OpenAlex.
- Cone beam computed tomography guided online adaptive radiotherapy for cervical Cancer: Two-year single-Centre implementation and clinical experience.Technical innovations & patient support in radiation oncology · 2026Article
- Development of CBCT-Guided Online Adaptive Radiotherapy.Cancers · 2026Review
- Early Experience Comparing Reduced Planning Target Volume Margins Using Cone Beam Computed Tomography Scan Guided Online Adaptive Radiation Therapy to Nonadaptive, Traditional Margin Plans for Muscle-Invasive Bladder Cancer.Advances in radiation oncology · 2026Article
- Reduction of the planning target volume with daily online adaptive radiotherapy in bladder cancer.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025Article
- CBCT-based online adaptive radiotherapy of the bladder - geometrical and dosimetrical considerations compared to conventional IGRT.Radiation oncology (London, England) · 2025Article
- Evaluation of artificial intelligence-based autosegmentation for a high-performance cone-beam computed tomography imaging system in the pelvic region.Physics and imaging in radiation oncology · 2025Article
- Daily online adaptation enhances target coverage in prostate cancer radiotherapy: a retrospective analysis.Frontiers in oncology · 2025Article
- Clinical implementation of RTT-only CBCT-guided online adaptive focal radiotherapy for bladder cancer.Clinical and translational radiation oncology · 2025Article
- Clinical Implementation of Cone Beam Computed Tomography-Guided Online Adaptive Radiation Therapy in Whole Breast Irradiation.Advances in radiation oncology · 2025Article
- Minimizing human interference in an online fully automated daily adaptive radiotherapy workflow for bladder cancer.Radiation oncology (London, England) · 2024Article
- Cone-Beam Computed Tomography-Guided Online Adaptive Radiotherapy: Promising Results for Bladder Cancer Case.Cureus · 2024Article
- Re-evaluation of the prospective risk analysis for artificial-intelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of clinical experience.Zeitschrift fur medizinische Physik · 2024Article
- Article
- Artificial intelligence-generated targets and inter-observer variation in online adaptive radiotherapy of bladder cancer.Physics and imaging in radiation oncology · 2024Article
- Adaptive Radiotherapy: Next-Generation Radiotherapy.Cancers · 2024Review
- Adaptation Time as a Determinant of the Dosimetric Effectiveness of Online Adaptive Radiotherapy for Bladder Cancer.Cancers · 2023Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim was to assess the feasibility of online adaptive radiotherapy (oART) for bladder cancer using a focal boost by focusing on the quality of the online treatment plan and automatic target delineation, duration of the workflow and performance in the presence of fiducial markers for tumor bed localization.
methodsFifteen patients with muscle invasive bladder cancer received daily oART with Cone Beam CT (CBCT), artificial intelligence (AI)-assisted automatic delineation of the daily anatomy and online plan reoptimization. The bladder and pelvic lymph nodes received a total dose of 40 Gy in 20 fractions, the tumor received an additional simultaneously integrated boost (SIB) of 15 Gy. The dose distribution of the reference plan was calculated for the daily anatomy, i.e. the scheduled plan. Simultaneously, a reoptimization of the plan was performed i.e. the adaptive plan. The target coverage and V
resultsAll 300 adaptive plans met the requirement of the CTV-coverage V
conclusionsAI-driven CBCT-guided oART aided by fiducial markers is feasible for bladder cancer radiotherapy treatment including a SIB. The quality of the adaptive plans met the clinical requirements and fiducial markers were visible enabling consistent daily tumor localization. Improved automatic delineation to lower the need for manual corrections and faster reoptimization would result in shorter session time.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.