Trial reportEuropean radiology2009
Reliability of tumor volume estimation from MR images in patients with malignant glioma. Results from the American College of Radiology Imaging Network (ACRIN) 6662 Trial.
Trial report in European radiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 26 citations in OpenAlex.
- Evaluation of RANO Criteria for the Assessment of Tumor Progression for Lower-Grade Gliomas.Cancers · 2023Article
- Ellipsoid calculations versus manual tumor delineations for glioblastoma tumor volume evaluation.Scientific reports · 2022Article
- Assessment of immunotherapy response in intracranial malignancy using semi-automatic segmentation on magnetic resonance images.Frontiers in immunology · 2022Article
- Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatment.Neuro-oncology · 2020Article
- Objective response rate assessment in oncology: Current situation and future expectations.World journal of clinical oncology · 2020Review
- Utilization of volumetric magnetic resonance imaging for baseline and surveillance imaging in Neuro-oncology.The British journal of radiology · 2019Article
- Standardized MRI assessment of high-grade glioma response: a review of the essential elements and pitfalls of the RANO criteria.Neuro-oncology practice · 2016Review
- Inter- and intra-rater reliability of blood and cerebrospinal fluid flow quantification by phase-contrast MRI.Journal of magnetic resonance imaging : JMRI · 2013Article
- Assessment of pituitary adenoma volumetric change using longitudinal MR image registration.Neuroradiology · 2012Article
- Analysing the response in R2* relaxation rate of intracranial tumours to hyperoxic and hypercapnic respiratory challenges: initial results.European radiology · 2011Article
- RECIST revised: implications for the radiologist. A review article on the modified RECIST guideline.European radiology · 2010Review
- NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinics.Neuro-oncology advancesArticle
- Impact of extent of resection on outcome from glioblastoma using the RANO resect group classification system: a retrospective, population-based cohort study.Neuro-oncology advancesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
Abstract
Reliable assessment of tumor growth in malignant glioma poses a common problem both clinically and when studying novel therapeutic agents. We aimed to evaluate two software-systems in their ability to estimate volume change of tumor and/or edema on magnetic resonance (MR) images of malignant gliomas. Twenty patients with malignant glioma were included from different sites. Serial post-operative MR images were assessed with two software systems representative of the two fundamental segmentation methods, single-image fuzzy analysis (3DVIEWNIX-TV) and multi-spectral-image analysis (Eigentool), and with a manual method by 16 independent readers (eight MR-certified technologists, four neuroradiology fellows, four neuroradiologists). Enhancing tumor volume and tumor volume plus edema were assessed independently by each reader. Intraclass correlation coefficients (ICCs), variance components, and prediction intervals were estimated. There were no significant differences in the average tumor volume change over time between the software systems (p > 0.05). Both software systems were much more reliable and yielded smaller prediction intervals than manual measurements. No significant differences were observed between the volume changes determined by fellows/neuroradiologists or technologists.Semi-automated software systems are reliable tools to serve as outcome parameters in clinical studies and the basis for therapeutic decision-making for malignant gliomas, whereas manual measurements are less reliable and should not be the basis for clinical or research outcome studies.
Indexed as
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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.