ReviewInsights into imaging2018
Brain tumour post-treatment imaging and treatment-related complications.
Review in Insights into imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.
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
36 citing papers in PubMed, 4 syntheses or guidelines pooled it, 85 citations in OpenAlex.
- Unlocking glioblastoma: breakthroughs in molecular mechanisms and next-generation therapies.Medical oncology (Northwood, London, England) · 2025Pooled it
- Umbrella review and network meta-analysis of diagnostic imaging test accuracy studies in Differentiating between brain tumor progression versus pseudoprogression and radionecrosis.Journal of neuro-oncology · 2024Pooled it
- DEGRO practical guideline for central nervous system radiation necrosis part 1: classification and a multistep approach for diagnosis.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022Guideline
- Value of DWI Combined with Magnetic Resonance Spectroscopy in the Differential Diagnosis between Recurrent Glioma and Radiation Injury: A Meta-Analysis.International journal of clinical practice · 2022Pooled it
- Integrating ConvNeXt tiny and radiomics in a nomogram to differentiate true progression from pseudoprogression in glioma.Neuroradiology · 2026Article
- Assessing brain metastasis response to immunotherapy: a pictorial review of atypical responses and intracranial adverse events.Insights into imaging · 2025Article
- Multidisciplinary, Clinical Assessment of Accelerated Deep-Learning MRI Protocols at 1.5 T and 3 T After Intracranial Tumor Surgery and Their Influence on Residual Tumor Perception.Diagnostics (Basel, Switzerland) · 2025Article
- Brain-derived textiloma post glioblastoma resection and application of oxidized regenerated cellulose: A pilot, bedside-to-bench, translational study.Brain pathology (Zurich, Switzerland) · 2025Article
- Spatial invasion patterns of temporal lobe glioblastoma after complete resection of contrast-enhancing tumor.Journal of neuro-oncology · 2025Article
- A Bayesian deep segmentation framework for glioblastoma tumor segmentation using follow-up MRIs.Frontiers in neuroimaging · 2025Article
- Assessing Glioblastoma Treatment Response Using Machine Learning Approach Based on Magnetic Resonance Images Radiomics: An Exploratory Study.Health science reports · 2025Article
- Distinguishing glioblastoma progression from treatment-related changes using DTI directionality growth analysis.Neuroradiology · 2024Article
- Ferroptosis in radiation-induced brain injury: roles and clinical implications.Biomedical engineering online · 2024Review
- Review
- Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting.Bioengineering (Basel, Switzerland) · 2024Article
- External validation of the Brain Tumour Reporting and Data System (BT-RADS) in the multidisciplinary managementof post-treatment gliomas.Polish journal of radiology · 2024Article
- Evaluating the use of intraoperative magnetic resonance imaging in paediatric brain tumour resection surgeries: a literature review.Journal of medical radiation sciences · 2023Review
- Circulating Brain Injury Biomarkers: A Novel Method for Quantification of the Impact on the Brain After Tumor Surgery.Neurosurgery · 2023Article
- Immune Checkpoint Inhibitors in "Special" NSCLC Populations: A Viable Approach?International journal of molecular sciences · 2023Review
- Comprehensive Update and Review of Clinical and Imaging Features of SMART Syndrome.AJNR. American journal of neuroradiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe imaging of primary and metastatic brain tumours is very complex and relies heavily on advanced magnetic resonance imaging (MRI). Utilisation of these advanced imaging techniques is essential in helping clinicians determine tumour response after initiation of treatment. Many options are currently available to treat brain tumours, and each can significantly alter the brain tumour appearance on post-treatment imaging. In addition, there are several common and uncommon treatment-related complications that are important to identify on standard post-treatment imaging.
methodsThis article provides a review of the various post-treatment-related imaging appearances of brain neoplasms, including a discussion of advanced MR imaging techniques available and treatment response criteria most commonly used in clinical practice. This article also provides a review of the multitude of treatment-related complications that can be identified on routine post-treatment imaging, with an emphasis on radiation-induced, chemotherapy-induced, and post-surgical entities. Although radiological evaluation of brain tumours after treatment can be quite challenging, knowledge of the various imaging techniques available can help the radiologist distinguish treatment response from tumour progression and has the potential to save patients from inappropriate alterations in treatment. In addition, knowledge of common post-treatment-related complications that can be identified on imaging can help the radiologist play a key role in preventing significant patient morbidity/mortality. TEACHING POINTS: • Contrast enhancement does not reliably define tumour extent in many low-grade or infiltrative gliomas. • Focal regions of elevated cerebral blood volume (rCBV) on dynamic susceptibility contrast (DSC) perfusion-weighted imaging are suggestive of tumour growth/recurrence. • Brain tumour treatment response criteria rely on both imaging and clinical parameters. • Chemotherapeutic agents can potentiate many forms of radiation-induced injury. • Ipilimumab-induced hypophysitis results in transient diffuse enlargement of the pituitary gland.
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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.