ReviewInternational journal of biomedical imaging2017
Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery.
Review in International journal of biomedical imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 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
36 citing papers in PubMed, 80 citations in OpenAlex.
- Practical utility of ultrasound-guided brain shift correction during glioma: patient series.Journal of neurosurgery. Case lessons · 2026Article
- Shining a light on brain tumors: a review of Raman spectroscopy in the operating room.Journal of biomedical optics · 2026Review
- Spatially identifying regions of tumor recurrence in patients with suspected recurrent glioma using physiologic MRI and machine learning.NPJ digital medicine · 2026Article
- Utility of diffusion tensor imaging and tractography (DTI/DTT) in the surgical resection of intramedullary spinal cord tumors: A scoping review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Intraoperative Mass Spectrometry in Oncology: Technologies, Clinical Applications, and Challenges.Molecules (Basel, Switzerland) · 2026Review
- Visualizing spinal tumors: a review of intraoperative contrast enhanced ultrasound during spinal tumor resections.Frontiers in oncology · 2026Review
- Portable mixed reality navigation system for neurosurgery: a clinical feasibility study.Scientific reports · 2025Article
- Measurement of Residual Stress in the Brain.Journal of biomechanical engineering · 2025Article
- Locating eloquent sites identified during brain tumor intraoperative mapping on reference MRI atlas.Communications medicine · 2025Article
- Brainshift correction using navigated intraoperative ultrasound informs intraoperative decision-making during glioma surgery.Acta neurochirurgica · 2025Article
- Visual impairment associated with direct compression of the visual cortex due to subdural hematoma following foramen magnum decompression: illustrative case.Journal of neurosurgery. Case lessons · 2024Article
- Narrative Review of Multidisciplinary Management of Central Nervous Involvement in Patients with HER2-Positive Metastatic Breast Cancer: Focus on Elderly Patients.Advances in therapy · 2023Review
- Simulation Method for the Physical Deformation of a Three-Dimensional Soft Body in Augmented Reality-Based External Ventricular Drainage.Healthcare informatics research · 2023Article
- A position- and time-dependent pressure profile to model viscoelastic mechanical behavior of the brain tissue due to tumor growth.Computer methods in biomechanics and biomedical engineering · 2023Article
- Intra-operative applications of augmented reality in glioma surgery: a systematic review.Frontiers in surgery · 2023Review
- Towards real-time intraoperative tissue interrogation for REIMS-guided glioma surgery.Journal of mass spectrometry and advances in the clinical lab · 2022Article
- Pose Estimation and Non-Rigid Registration for Augmented Reality During Neurosurgery.IEEE transactions on bio-medical engineering · 2022Article
- Photoacoustic-MR Image Registration Based on a Co-Sparse Analysis Model to Compensate for Brain Shift.Sensors (Basel, Switzerland) · 2022Article
- Surgery of Motor Eloquent Glioblastoma Guided by TMS-Informed Tractography: Driving Resection Completeness Towards Prolonged Survival.Frontiers in oncology · 2022Article
- Second window ICG predicts postoperative MRI gadolinium enhancement in high grade gliomas and brain metastases.Neurosurgical focus: Video · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intraoperative brain shift during neurosurgical procedures is a well-known phenomenon caused by gravity, tissue manipulation, tumor size, loss of cerebrospinal fluid (CSF), and use of medication. For the use of image-guided systems, this phenomenon greatly affects the accuracy of the guidance. During the last several decades, researchers have investigated how to overcome this problem. The purpose of this paper is to present a review of publications concerning different aspects of intraoperative brain shift especially in a tumor resection surgery such as intraoperative imaging systems, quantification, measurement, modeling, and registration techniques. Clinical experience of using intraoperative imaging modalities, details about registration, and modeling methods in connection with brain shift in tumor resection surgery are the focuses of this review. In total, 126 papers regarding this topic are analyzed in a comprehensive summary and are categorized according to fourteen criteria. The result of the categorization is presented in an interactive web tool. The consequences from the categorization and trends in the future are discussed at the end of this work.
Identifiers
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.