ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2019
Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients.
Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Clinical feasibility of fast adaptive four-dimensional cone-beam computed tomography for lung cancer radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Real-time volumetric CBCT reconstruction using surface and X-ray imaging for image-guided radiotherapy.Medical image analysis · 2025Article
- Optical surface information-based respiratory phase-sorting and motion-incorporated reconstruction for SPECT imaging.Medical physics · 2025Article
- Patient-Specific CBCT Synthesis for Real-time Tumor Tracking in Surface-guided Radiotherapy.ArXiv · 2024Article
- A review on 4D cone-beam CT (4D-CBCT) in radiation therapy: Technical advances and clinical applications.Medical physics · 2024Review
- Using previously registered cone beam computerized tomography images to facilitate online computerized tomography to cone beam computerized tomography image registration in lung stereotactic body radiation therapy.Journal of applied clinical medical physics · 2022Article
- Management of Motion and Anatomical Variations in Charged Particle Therapy: Past, Present, and Into the Future.Frontiers in oncology · 2022Review
- Evaluation of Lung Tumor Target Volume in a Large Sample: Target and Clinical Factors Influencing the Volume Derived From Four-Dimensional CT and Cone Beam CT.Frontiers in oncology · 2021Article
- Image guidance in radiation therapy for better cure of cancer.Molecular oncology · 2020Review
- Adapting training for medical physicists to match future trends in radiation oncology.Physics and imaging in radiation oncology · 2019Article
- Treatment planning evolution: Comparing approaches in photodynamic and radiation therapies.Photochemistry and photobiologyReview
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
purposeImage guided radiotherapy (IGRT) based on respiration correlated cone-beam CT (4D-CBCT) provides accurate tumour localisation in lung cancer patients by taking into account respiratory motion when deriving setup correction. However, 4D-CBCT scan times are typically longer than for acquisition of 3D-CBCT scans, e.g. 4 min. This work aims to quantitatively evaluate the effect of reduced scan times on 4D-CBCT image quality and registration accuracy in lung cancer patients. METHODS AND MATERIALS: Scan times down to 1 min were simulated by retaining only projection images corresponding to every second, third or fourth respiratory cycle in forty-four 4D-CBCTs from 15 lung cancer patients. In addition twenty 2-minute scans were acquired for 12 lung cancer patients. Image quality was quantified by assessing registration accuracy in the shorter scan times, comparing to the 4-minute scan registration result where available as reference.
resultsUse of 2-minute scans had little impact on registration accuracy or ability to detect tumour motion: automatic registration accuracy was within 2 mm in 6/8 scans analysed with 2-minute acquisitions, and 96.6% of registration discrepancies were within 2 mm for the simulated scans. When the scan time simulated was below 2 min, automatic registration results still agreed within 2 mm for 84.7% of scans, however visual image quality was considerably degraded.
conclusionA 4D-CBCT acquisition time of 2 min produces scans of sufficient image quality for IGRT in most lung cancer patients, as demonstrated quantitatively by assessing the impact on automatic registration accuracy in simulated and real acquisitions.
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Registered trials
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.