ReviewNeuroRx : the journal of the American Society for Experimental NeuroTherapeutics2005
Imaging in neurooncology.
Review in NeuroRx : the journal of the American Society for Experimental NeuroTherapeutics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis 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
50 citing papers in PubMed, 1 synthesis or guideline pooled it, 169 citations in OpenAlex.
- Systematic review and epistemic meta-analysis to advance binomial AI-radiomics integration for predicting high-grade glioma progression and enhancing patient management.Scientific reports · 2025Pooled it
- Emerging Frontiers in Neuro-Oncology: Insights into Extracellular Vesicle-Driven Tumor Mechanisms and Nanotherapeutic Strategies.International journal of molecular sciences · 2025Review
- Metallic Nanoparticles Applications in Neurological Disorders: A Review.International journal of biomaterials · 2025Review
- Quality Assessment of MRI-Radiomics-Based Machine Learning Methods in Classification of Brain Tumors: Systematic Review.Diagnostics (Basel, Switzerland) · 2024Review
- The great mimicker of dural pathology: primary dural diffuse large B-cell lymphoma.Wiener klinische Wochenschrift · 2023Article
- Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response.International journal of molecular sciences · 2023Review
- Intracranial Solitary Fibrous Tumor: A "New" Challenge for PET Radiopharmaceuticals.Journal of clinical medicine · 2022Review
- Construction and imaging of a neurovascular unit model.Neural regeneration research · 2022Review
- A Systematic Review of the Current Status and Quality of Radiomics for Glioma Differential Diagnosis.Cancers · 2022Review
- Radiographic markers of breast cancer brain metastases: relation to clinical characteristics and postoperative outcome.Acta neurochirurgica · 2022Article
- MRI-compatible electromagnetic servomotor for image-guided medical robotics.Communications engineering · 2022Article
- Clinical Applications of Magnetic Resonance Spectroscopy in Brain Tumors: From Diagnosis to Treatment.Radiologic clinics of North America · 2021Review
- Article
- Neurotheranostics as personalized medicines.Advanced drug delivery reviews · 2019Review
- Computed tomography-guided navigated transcranial magnetic stimulation for preoperative brain motor mapping in brain lesion resection: A case report.Surgical neurology international · 2019Article
- Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI.European radiology · 2019Article
- Fusion imaging: a bipartite approach.Oral radiology · 2018Review
- Multimodal Imaging of Patients With Gliomas ConfirmsMolecular imaging · 2017Article
- Time-delayed contrast-enhanced MRI improves detection of brain metastases: a prospective validation of diagnostic yield.Journal of neuro-oncology · 2016Article
- Endoscopic detection of cancer with lensless radioluminescence imaging and machine vision.Scientific reports · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Imaging in patients with brain tumors aims toward the determination of the localization, extend, type, and malignancy of the tumor. Imaging is being used for primary diagnosis, planning of treatment including placement of stereotaxic biopsy, resection, radiation, guided application of experimental therapeutics, and delineation of tumor from functionally important neuronal tissue. After treatment, imaging is being used to quantify the treatment response and the extent of residual tumor. At follow-up, imaging helps to determine tumor progression and to differentiate recurrent tumor growth from treatment-induced tissue changes, such as radiation necrosis. A variety of complementary imaging methods are currently being used to obtain all the information necessary to achieve the above mentioned goals. Computed tomography and magnetic resonance imaging (MRI) reveal mostly anatomical information on the tumor, whereas magnetic resonance spectroscopy and positron emission tomography (PET) give important information on the metabolic state and molecular events within the tumor. Functional MRI and functional PET, in combination with electrophysiological methods like transcranial magnetic stimulation, are being used to delineate functionally important neuronal tissue, which has to be preserved from treatment-induced damage, as well as to gather information on tumor-induced brain plasticity. In addition, optical imaging devices have been implemented in the past few years for the development of new therapeutics, especially in experimental glioma models. In summary, imaging in patients with brain tumors plays a central role in the management of the disease and in the development of improved imaging-guided therapies.
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.