ReviewHematology/oncology clinics of North America2019
Imaging for Target Delineation and Treatment Planning in Radiation Oncology: Current and Emerging Techniques.
Review in Hematology/oncology clinics of North America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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Who cites it
15 citing papers in PubMed.
- Tongue stabilisation during CT simulation in radiotherapy using a customised dental biomaterial appliance: a case report.Biomaterial investigations in dentistry · 2026Article
- Evaluation of an interpretable deep-learning model for the automated plan review of intensity-modulated radiation therapy.Frontiers in oncology · 2026Article
- MarginView3D: A Novel Software Enabling Comprehensive Three-Dimensional Surgical Pathology Documentation for Improved Intra- and Postoperative Cancer Care.Annals of surgical oncology · 2025Article
- First implementation of photon-counting dector computed tomography for optimizing segmentation in head-and-neck cancer radiotherapy.Physics and imaging in radiation oncology · 2025Article
- Advanced automated classification and segmentation of leukemic cells using simulated optical scanning holography and active contour methods.Journal of biomedical optics · 2025Article
- Deep learning for automated, motion-resolved tumor segmentation in radiotherapy.NPJ precision oncology · 2025Article
- A Multidimensional Particle Swarm Optimization-Based Algorithm for Brain MRI Tumor Segmentation.Sensors (Basel, Switzerland) · 2025Article
- Review
- Development and Validation of a 3D Resnet Model for Prediction of Lymph Node Metastasis in Head and Neck Cancer Patients.Journal of imaging informatics in medicine · 2024Article
- Impact of deep learning-based multiorgan segmentation methods on patient-specific internal dosimetry in PET/CT imaging: A comparative study.Journal of applied clinical medical physics · 2024Article
- Evaluating the Hounsfield unit assignment and dose differences between CT-based standard and deep learning-based synthetic CT images for MRI-only radiation therapy of the head and neck.Journal of applied clinical medical physics · 2024Article
- Cancer-associated fibroblasts in radiotherapy: Bystanders or protagonists?Cell communication and signaling : CCS · 2023Review
- Impact of image filtering and assessment of volume-confounding effects on CT radiomic features and derived survival models in non-small cell lung cancer.Translational lung cancer research · 2022Article
- Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2021Article
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Imaging in radiation oncology has a wide range of applications. It is necessary not only for tumor staging and treatment response assessment after therapy but also for the treatment planning process, including definition of target and organs at risk, as well as treatment plan calculation. This article provides a comprehensive overview of the main imaging modalities currently used for target delineation and treatment planning and gives insight into new and promising techniques.
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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.