ArticleScientific data2018
Author Correction: Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Virtual clinical trial based on outcome modeling with iteratively redistributed extrapolation data.Radiological physics and technology · 2023Trial
- Inside from outside: head-to-skull-and-muscles translation with statistical shape relation and multiple region-of-interest learning.Medical & biological engineering & computing · 2026Article
- Data-centric artificial intelligence and cancer research: construction of a real-world head and neck treatment data repository.ESMO real world data and digital oncology · 2025Article
- A multimodal dataset for precision oncology in head and neck cancer.Nature communications · 2025Article
- A multicenter dataset for lymph node clinical target volume delineation of nasopharyngeal carcinoma.Scientific data · 2024Article
- Radiomics Features in Predicting Human Papillomavirus Status in Oropharyngeal Squamous Cell Carcinoma: A Systematic Review, Quality Appraisal, and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2024Review
- Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study.Radiation oncology (London, England) · 2024Article
- Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer.Frontiers in artificial intelligence · 2024Article
- Development of optimization method for uniform dose distribution on superficial tumor in an accelerator-based boron neutron capture therapy system.Journal of radiation research · 2023Article
- Intensity-modulated irradiation for superficial tumors by overlapping irradiation fields using intensity modulators in accelerator-based BNCT.Journal of radiation research · 2022Article
- An image registration method for voxel-wise analysis of whole-body oncological PET-CT.Scientific reports · 2022Article
- Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer.Scientific data · 2022Article
- Enhanced head-skull shape learning using statistical modeling and topological features.Medical & biological engineering & computing · 2022Article
- Article
- A database for using machine learning and data mining techniques for coronary artery disease diagnosis.Scientific data · 2019Article
- Pregnancy reduces critical thermal maximum, but not voluntary thermal maximum, in a viviparous skink.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2019Article
Corrections and comments
- Erratum for
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the original version of the Data Descriptor the surname of author Hesham Elhalawani was misspelled. This has now been corrected in the HTML and PDF versions.
Identifiers
What OpenQuestion holds
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.