SynthesisMagma (New York, N.Y.)2022
A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue.
Synthesis in Magma (New York, N.Y.), 2022. 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Amsterdam IMAging and Clinical GliOma Dataset; IMAGO.Scientific data · 2026Article
- Gray Matter Volumetry and Cognitive Functioning in Pediatric Posterior Fossa Tumor Survivors.Cancers · 2026Article
- Diffuse glioma perfusion quantification with ASL and DSC: a head-to-head comparison withFrontiers in oncology · 2026Article
- Research Trends and Knowledge Atlas of Radiotherapy-Related Cognitive Impairment: A Bibliometric Analysis.Current neuropharmacology · 2026Review
- Are pNF-H, IL-6, BDNF, and NSP Reliable Biomarkers of Cognitive Function in Prostate Cancer Patients?International journal of molecular sciences · 2025Article
- Mechanisms of cancer-induced neurophysiological dysfunction and therapeutic strategies.Discover oncology · 2025Review
- Repeatability and Reproducibility of Pseudocontinuous Arterial Spin-Labeling-Measured Brain Perfusion in Healthy Volunteers and Patients with Glioblastoma.AJNR. American journal of neuroradiology · 2025Article
- Unsupervised Transformer Learning for Rapid and High-Quality MRI Data Acquisition.Health data science · 2025Article
- Deformation-based morphometry: a sensitive imaging approach to detect radiation-induced brain injury?Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Imaging Assessment of Radiation Therapy-Related Normal Tissue Injury in Children: A PENTEC Visionary Statement.International journal of radiation oncology, biology, physics · 2024Review
- A Comparison of 7 Tesla MR Spectroscopic Imaging and 3 Tesla MR Fingerprinting for Tumor Localization in Glioma Patients.Cancers · 2024Article
- Neurotoxicity from Old and New Radiation Treatments for Brain Tumors.International journal of molecular sciences · 2023Review
- Advanced MR Techniques for Preoperative Glioma Characterization: Part 2.Journal of magnetic resonance imaging : JMRI · 2023Review
- Advanced intraoperative MRI in pediatric brain tumor surgery.Frontiers in physiology · 2023Review
- Cerebral glucose changes after chemotherapy and their relation to long-term cognitive complaints and fatigue.Frontiers in oncology · 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
20 authors at 12 institutions in 10 countries.
Funding
Abstract
Cancer therapy for both central nervous system (CNS) and non-CNS tumors has been previously associated with transient and long-term cognitive deterioration, commonly referred to as 'chemo fog'. This therapy-related damage to otherwise normal-appearing brain tissue is reported using post-mortem neuropathological analysis. Although the literature on monitoring therapy effects on structural magnetic resonance imaging (MRI) is well established, such macroscopic structural changes appear relatively late and irreversible. Early quantitative MRI biomarkers of therapy-induced damage would potentially permit taking these treatment side effects into account, paving the way towards a more personalized treatment planning.This systematic review (PROSPERO number 224196) provides an overview of quantitative tomographic imaging methods, potentially identifying the adverse side effects of cancer therapy in normal-appearing brain tissue. Seventy studies were obtained from the MEDLINE and Web of Science databases. Studies reporting changes in normal-appearing brain tissue using MRI, PET, or SPECT quantitative biomarkers, related to radio-, chemo-, immuno-, or hormone therapy for any kind of solid, cystic, or liquid tumor were included. The main findings of the reviewed studies were summarized, providing also the risk of bias of each study assessed using a modified QUADAS-2 tool. For each imaging method, this review provides the methodological background, and the benefits and shortcomings of each method from the imaging perspective. Finally, a set of recommendations is proposed to support future research.
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.