ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2023
Recommendations for improved reproducibility of ADC derivation on behalf of the Elekta MRI-linac consortium image analysis working group.
Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2023. 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.
- Tolerability, safety and feasibility of metformin combined with chemoradiotherapy in patients with locally advanced cervical cancer: A phase II, randomized study.Acta oncologica (Stockholm, Sweden) · 2025Trial
- Longitudinal assessment of diffusion-weighted imaging during magnetic resonance-guided radiotherapy in head and neck cancer.Radiation oncology (London, England) · 2025Trial
- The deployment of ProKnow for cloud-based clinical research in radiotherapy.PLOS digital health · 2026Article
- The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.Physics in medicine and biology · 2026Review
- Test-Retest Apparent Diffusion Coefficient Reproducibility in Head and Neck Cancer Using a 1.5-T MR-Linac.Radiology. Imaging cancer · 2026Article
- Apparent diffusion coefficient increases during short course radiotherapy in rectal tumours: Results from a multicentre longitudinal trial.Physics and imaging in radiation oncology · 2025Article
- Early response prediction during radiotherapy in rectal cancer using sequential diffusion-weighted imaging at a magnetic resonance image-guided linear accelerator.Physics and imaging in radiation oncology · 2025Article
- MRI for biology-guided radiation therapy: Are we there yet? A summary of the 2024 ISMRM member-initiated session.Magnetic resonance in medicine · 2025Review
- Diffusion-weighted imaging-derived parameters as quantitative imaging biomarkers in magnetic resonance-guided radiotherapy: a systematic review.Physics and imaging in radiation oncology · 2025Review
- Applications of Advanced Imaging for Radiotherapy Planning and Response Assessment in the Central Nervous System.Tomography (Ann Arbor, Mich.) · 2025Review
- Quantifying multi-institutional ADC measurement variability of 1.5 T MR-Linacs: A phantom and in vivo study.Medical physics · 2025Article
- Repeatability of rectal cancer apparent diffusion coefficient measurements on a 1.5 T MR-linac.Physics and imaging in radiation oncology · 2025Article
- Validation of daily 0.35 T diffusion-weighted MRI for MRI-guided glioblastoma radiotherapy.Medical physics · 2024Article
- Diffusion-weighted magnetic resonance imaging as an early prognostic marker of chemoradiotherapy response in squamous cell carcinoma of the anus: An individual patient dataPhysics and imaging in radiation oncology · 2024Article
- Validation of echo planar imaging based diffusion-weighted magnetic resonance imaging on a 0.35 T MR-Linac.Physics and imaging in radiation oncology · 2024Article
- Repeatability quantification of brain diffusion-weighted imaging for future clinical implementation at a low-field MR-linac.Radiation oncology (London, England) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
background and purposeThe apparent diffusion coefficient (ADC), a potential imaging biomarker for radiotherapy response, needs to be reproducible before translation into clinical use. The aim of this study was to evaluate the multi-centre delineation- and calculation-related ADC variation and give recommendations to minimize it. MATERIALS AND
methodsNine centres received identical diffusion-weighted and anatomical magnetic resonance images of different cancerous tumours (adrenal gland, pelvic oligo metastasis, pancreas, and prostate). All centres delineated the gross tumour volume (GTV), clinical target volume (CTV), and viable tumour volume (VTV), and calculated ADCs using both their local calculation methods and each of the following calculation conditions: b-values 0-500 vs. 150-500 s/mm
resultsThe median (range) CV
conclusionOverall, calculation methods had a larger impact on ADC reproducibility compared to delineation. Based on the results, significant sources of variation were identified, which should be considered when initiating new studies, in particular multi-centre investigations.
Indexed as
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.