ArticleInternational journal of radiation oncology, biology, physics2019
Combined Ultrasound and Cone Beam CT Improves Target Segmentation for Image Guided Radiation Therapy in Uterine Cervix Cancer.
Article in International journal of radiation oncology, biology, physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Quantitative and automatic plan-of-the-day assessment to facilitate adaptive radiotherapy in cervical cancer.Physics in medicine and biology · 2025Article
- Robotic CBCT meets robotic ultrasound.International journal of computer assisted radiology and surgery · 2025Article
- Head CT Image Segmentation and Three-Dimensional Reconstruction Technology Based on Human Anatomy.Computational intelligence and neuroscience · 2022Article
- A model to guide the management and decision of re-planning during radiotherapy for cervical cancer.Translational cancer research · 2021Article
- Intra-fractional dosimetric analysis of image-guided intracavitary brachytherapy of cervical cancer.Radiation oncology (London, England) · 2021Article
- Pelvic multi-organ segmentation on cone-beam CT for prostate adaptive radiotherapy.Medical physics · 2020Article
- Comparison of computed tomography- and magnetic resonance imaging-based target delineation for cervical cancer brachytherapy.Journal of contemporary brachytherapy · 2020Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
purposeAdaptive radiation therapy strategies could account for interfractional uterine motion observed in patients with cervix cancer, but the current cone beam computed tomography (CBCT)-based treatment workflow is limited by poor soft-tissue contrast. The goal of the present study was to determine if ultrasound (US) could be used to improve visualization of the uterus, either as a single modality or in combination with CBCT. METHODS AND MATERIALS: Interobserver uterine contour agreement and confidence were compared on 40 corresponding CBCT, US, and CBCT-US-fused images from 11 patients with cervix cancer. Contour agreement was measured using the Dice similarity coefficient (DSC) and mean contour-to-contour distance (MCCD). Observers rated their contour confidence on a scale from 1 to 10. Pairwise Wilcoxon signed-rank tests were used to measure differences in contour agreement and confidence.
resultsCBCT-US fused images had significantly better contour agreement and confidence than either individual modality (P < .05), with median (interquartile range [IQR]) values of 0.84 (0.11), 1.26 (0.23) mm, and 7 (2) for the DSC, MCCD, and observer confidence ratings, respectively. Contour agreement was similar between US and CBCT, with median (IQR) DSCs of 0.81 (0.17) and 0.82 (0.14) and MCCDs of 1.75 (1.15) mm and 1.62 (0.74) mm. Observers were significantly more confident in their US-based contours than in their CBCT-based contours (P < .05), with median (IQR) confidence ratings of 7 (2.75) versus 5 (4).
conclusionsCBCT and US are complementary and improve uterine segmentation precision when combined. Observers could localize the uterus with a similar precision on independent US and CBCT images.
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