ReviewFrontiers in oncology2017
Challenges for Quality Assurance of Target Volume Delineation in Clinical Trials.
Review in Frontiers in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Contouring Guidelines in Radiation Oncology: Analysis of Frequency, Methodology, and Delivery of Consensus Recommendations.International journal of radiation oncology, biology, physics · 2020Pooled it
- Segment anything model (SAM)-driven prompt-guided interactive delineation of gross tumor volume for rectal cancer neoadjuvant radiotherapy.Medical physics · 2026Article
- Radiotherapy quality assurance in the PRO-GLIO trial: results from a dummy run comparing experts across twelve institutions in two Scandinavian countries.Clinical and translational radiation oncology · 2026Article
- Long-term real-world outcomes following preoperative radiotherapy and conservative surgery for trunk and extremity soft tissue sarcomas: a retrospective cohort study.EClinicalMedicine · 2026Article
- Consistency evaluation and performance optimization of deep learning-based auto-contouring for nasopharyngeal carcinoma.Scientific reports · 2025Article
- Multidisciplinary approach to target volume delineation in locally recurrent rectal cancer: An explorative study.Clinical and translational radiation oncology · 2025Article
- Quantifying the dosimetric impact of online daily adaptation for MR-guided RT in cervical cancer.Acta oncologica (Stockholm, Sweden) · 2025Observational
- Where Does Auto-Segmentation for Brain Metastases Radiosurgery Stand Today?Bioengineering (Basel, Switzerland) · 2024Review
- Article
- Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning.Frontiers in veterinary science · 2023Article
- Standardization for oncologic head and neck surgery.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021Review
- Implementation of web-based open-source radiotherapy delineation software (WORDS) in organs at risk contouring training for newly qualified radiotherapists: quantitative comparison with conventional one-to-one coaching approach.BMC medical education · 2021Article
- FIELDThe British journal of radiology · 2021Article
- Geometric contour variation in clinical target volume of axillary lymph nodes in breast cancer radiotherapy: an AIRO multi-institutional study.The British journal of radiology · 2021Article
- Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021Review
- Challenges in the target volume definition of lung cancer radiotherapy.Translational lung cancer research · 2021Review
- Visualizing Glioma Infiltration by the Combination of Multimodality Imaging and Artificial Intelligence, a Systematic Review of the Literature.Diagnostics (Basel, Switzerland) · 2021Review
- Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach.International journal of radiation oncology, biology, physics · 2021Article
- New target volume delineation and PTV strategies to further personalise radiotherapy.Physics in medicine and biology · 2021Article
- Deep learning-based detection and segmentation-assisted management of brain metastases.Neuro-oncology · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, new radiotherapy techniques have emerged that aim to improve treatment outcome and reduce toxicity. The standard method of evaluating such techniques is to conduct large scale multicenter clinical trials, often across continents. A major challenge for such trials is quality assurance to ensure consistency of treatment across all participating centers. Analyses from previous studies have shown that poor compliance and protocol violation have a significant adverse effect on treatment outcomes. The results of the clinical trials may, therefore, be confounded by poor quality radiotherapy. Target volume delineation (TVD) is one of the most critical steps in the radiotherapy process. Many studies have shown large inter-observer variations in contouring, both within and outside of clinical trials. High precision techniques, such as intensity-modulated radiotherapy, image-guided brachytherapy, and stereotactic radiotherapy have steep dose gradients, and errors in contouring may lead to inadequate dose to the tumor and consequently, reduce the chance of cure. Similarly, variation in organ at risk delineation will make it difficult to evaluate dose response for toxicity. This article reviews the literature on TVD variability and its impact on dosimetry and clinical outcomes. The implications for quality assurance in clinical trials are discussed.
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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.