ArticleJournal of neuro-oncology2023
Assessment of treatment response to dendritic cell vaccine in patients with glioblastoma using a multiparametric MRI-based prediction model.
Article in Journal of neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed, 13 citations in OpenAlex.
- Women in neurosurgical oncology: Mapping the milestones and shaping the future.Neuro-oncology advances · 2026Review
- Drawing the Line: From U-Net-Based Glioblastoma Segmentation to Machine Learning-Driven Survival Prediction.Medical sciences (Basel, Switzerland) · 2026Article
- Translational advancements in tumor vaccine therapies for glioblastomas.Neuro-oncology advances · 2025Review
- A Radiologist's Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part II-Essential Information on Post-Treatment Imaging.Korean journal of radiology · 2025Review
- Response Assessment in Long-Term Glioblastoma Survivors Using a Multiparametric MRI-Based Prediction Model.Brain sciences · 2025Article
- A twin-tower model using MRI and gene for prediction on brain tumor patients' response to therapy.Bioinformatics advances · 2025Article
- Towards Effective Treatment of Glioblastoma: The Role of Combination Therapies and the Potential of Phytotherapy and Micotherapy.Current issues in molecular biology · 2024Review
- Vagus nerve stimulation: Novel concept for the treatment of glioblastoma and solid cancers by cytokine (interleukin-6) reduction, attenuating the SASP, enhancing tumor immunity.Brain, behavior, & immunity - health · 2024Review
- CAR-T Cells for the Treatment of Central Nervous System Tumours: Known and Emerging Neurotoxicities.Brain sciences · 2024Review
- The transformative potential of mRNA vaccines for glioblastoma and human cancer: technological advances and translation to clinical trials.Frontiers in oncology · 2024Review
- The role of acute normovolemic hemodilution in reducing allogeneic blood transfusion in glioblastoma surgery: a case-control study.Chinese neurosurgical journal · 2023Article
- Artificial intelligence-based volumetric measurements for longitudinal clinical assessment of treatment response in high-grade gliomas: Validation across institutional and public datasets.Neuro-oncology advancesArticle
- Ki-67 and overall survival in patients with glioblastoma: A systematic prognostic review and meta-analysis.Neuro-oncology advancesReview
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAutologous tumor lysate-loaded dendritic cell vaccine (DCVax-L) is a promising treatment modality for glioblastomas. The purpose of this study was to investigate the potential utility of multiparametric MRI-based prediction model in evaluating treatment response in glioblastoma patients treated with DCVax-L.
methodsSeventeen glioblastoma patients treated with standard-of-care therapy + DCVax-L were included. When tumor progression (TP) was suspected and repeat surgery was being contemplated, we sought to ascertain the number of cases correctly classified as TP + mixed response or pseudoprogression (PsP) from multiparametric MRI-based prediction model using histopathology/mRANO criteria as ground truth. Multiparametric MRI model consisted of predictive probabilities (PP) of tumor progression computed from diffusion and perfusion MRI-derived parameters. A comparison of overall survival (OS) was performed between patients treated with standard-of-care therapy + DCVax-L and standard-of-care therapy alone (external controls). Additionally, Kaplan-Meier analyses were performed to compare OS between two groups of patients using PsP, Ki-67, and MGMT promoter methylation status as stratification variables.
resultsMultiparametric MRI model correctly predicted TP + mixed response in 72.7% of cases (8/11) and PsP in 83.3% (5/6) with an overall concordance rate of 76.5% with final diagnosis as determined by histopathology/mRANO criteria. There was a significant concordant correlation coefficient between PP values and histopathology/mRANO criteria (r = 0.54; p = 0.026). DCVax-L-treated patients had significantly prolonged OS than those treated with standard-of-care therapy (22.38 ± 12.8 vs. 13.8 ± 9.5 months, p = 0.040). Additionally, glioblastomas with PsP, MGMT promoter methylation status, and Ki-67 values below median had longer OS than their counterparts.
conclusionMultiparametric MRI-based prediction model can assess treatment response to DCVax-L in patients with glioblastoma.
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