ArticleJournal of contemporary brachytherapy2020
Comparison of computed tomography- and magnetic resonance imaging-based target delineation for cervical cancer brachytherapy.
Article in Journal of contemporary brachytherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 4 citations in OpenAlex.
- Validation of IBS-GEC ESTRO-ABS Computed Tomography-Based Contouring Recommendations Using Prebrachytherapy Magnetic Resonance Imaging in Patients With Cervical Cancer Treated With Definitive Radiation Therapy.Advances in radiation oncology · 2026Article
- Risk factors and clinical outcomes of radiation-induced fistula after chemoradiation and image-guided brachytherapy for locally advanced cervical cancer.Gynecologic oncology reports · 2025Article
- Clinical and dosimetric outcomes of carcinoma cervix patients treated with MRI only at first fraction, followed by CT-based image-guided brachytherapy for subsequent fractions.Journal of contemporary brachytherapy · 2025Article
- Impact of MRI-based planning in transperineal interstitial brachytherapy for vaginal-involving tumors.Journal of contemporary brachytherapy · 2024Article
- Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network.Journal of applied clinical medical physics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe objective of this study was to compare and assess the accuracy of computed tomography (CT)-based target delineation with that of magnetic resonance imaging (MRI)-based on high-dose-rate brachytherapy (HDR-BT) for patients with cervical cancer. MATERIAL AND
methodsData of 20 patients with locally advanced cervical cancer were collected and evaluated. Dimensions, conformity, and dose parameters of high-risk clinical target volume (CTV
resultsAverage age of 20 patients included was 57.8 years. Width, thickness, and volumes of CT-based CTV
conclusionsThe delineated ranges of CTV
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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.