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Apparent diffusion coefficient obtained by magnetic resonance imaging as a prognostic marker in glioblastomas: correlation with MGMT promoter methylation status

https://doi.org/10.1007/s00330-012-2601-4
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1 of the 32 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-21): 10.1007/s11060-009-9807-6 (notice 2013-09-01).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas
inferredcites →https://doi.org/10.1002/cncr.23562openalex-snapshot
Incidence of early pseudo‐progression in a cohort of malignant glioma patients treated with chemoirradiation with temozolomide
inferredcites →https://doi.org/10.1002/ijc.20625openalex-snapshot
O6-methylguanine-DNA methyltransferase methylation andTP53 mutation in malignant astrocytomas and their relationships with clinical course
inferredcites →https://doi.org/10.1002/jmri.20039openalex-snapshot
Survival analysis in patients with glioblastoma multiforme: Predictive value of choline‐to‐n‐acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume
inferredcites →https://doi.org/10.1007/s00234-002-0816-9openalex-snapshot
Cerebral gliomas: prospective comparison of multivoxel 2D chemical-shift imaging proton MR spectroscopy, echoplanar perfusion and diffusion-weighted MRI
inferredcites →https://doi.org/10.1007/s00234-011-0947-yopenalex-snapshot
Imaging parameters of high grade gliomas in relation to the MGMT promoter methylation status: the CT, diffusion tensor imaging, and perfusion MR imaging
inferredcites →https://doi.org/10.1007/s11060-006-9241-yopenalex-snapshot
Early necrosis following concurrent Temodar and radiotherapy in patients with glioblastoma
inferredcites →https://doi.org/10.1007/s11060-009-9807-6openalex-snapshot
RETRACTED ARTICLE: Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging
inferredcites →https://doi.org/10.1007/s11060-012-0847-yopenalex-snapshot
Apparent diffusion coefficient histogram analysis stratifies progression-free and overall survival in patients with recurrent GBM treated with bevacizumab: a multi-center study
inferredcites →https://doi.org/10.1007/s11060-013-1205-4openalex-snapshot
Retraction Note to: Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging
inferredcites →https://doi.org/10.1016/j.ejrad.2005.12.032openalex-snapshot
Perfusion and diffusion MR imaging in enhancing malignant cerebral tumors
inferredcites →https://doi.org/10.1016/j.neuroimage.2009.09.049openalex-snapshot
An analysis of image texture, tumor location, and MGMT promoter methylation in glioblastoma using magnetic resonance imaging
inferredcites →https://doi.org/10.1016/j.radonc.2010.08.020openalex-snapshot
Patterns of failure and comparison of different target volume delineations in patients with glioblastoma treated with conformal radiotherapy plus concomitant and adjuvant temozolomide
inferredcites →https://doi.org/10.1023/a:1006431120031openalex-snapshot
Relationships Between Choline Magnetic Resonance Spectroscopy, Apparent Diffusion Coefficient and Quantitative Histopathology in Human Glioma
inferredcites →https://doi.org/10.1038/nrneurol.2009.197openalex-snapshot
MGMT promoter methylation in malignant gliomas: ready for personalized medicine?
inferredcites →https://doi.org/10.1056/nejmoa043331openalex-snapshot
MGMT Gene Silencing and Benefit from Temozolomide in Glioblastoma
inferredcites →https://doi.org/10.1093/neuonc/nop020openalex-snapshot
MGMT promoter methylation is predictive of response to radiotherapy and prognostic in the absence of adjuvant alkylating chemotherapy for glioblastoma
inferredcites →https://doi.org/10.1097/00004728-200411000-00003openalex-snapshot
The Added Value of the Apparent Diffusion Coefficient Calculation to Magnetic Resonance Imaging in the Differentiation and Grading of Malignant Brain Tumors
inferredcites →https://doi.org/10.1097/cco.0b013e3282f075f3openalex-snapshot
Molecular genetic markers as predictors of response to chemotherapy in gliomas
inferredcites →https://doi.org/10.1148/radiol.09090663openalex-snapshot
Glioblastoma Multiforme Regional Genetic and Cellular Expression Patterns: Influence on Anatomic and Physiologic MR Imaging
inferredcites →https://doi.org/10.1148/radiol.2353031338openalex-snapshot
Apparent Diffusion Coefficient of Human Brain Tumors at MR Imaging
inferredcites →https://doi.org/10.1148/radiol.2413051276openalex-snapshot
Malignant Astrocytic Tumors: Clinical Importance of Apparent Diffusion Coefficient in Prediction of Grade and Prognosis
inferredcites →https://doi.org/10.1148/radiol.2432060450openalex-snapshot
Malignant Supratentorial Astrocytoma Treated with Postoperative Radiation Therapy: Prognostic Value of Pretreatment Quantitative Diffusion-weighted MR Imaging
inferredcites →https://doi.org/10.1158/1078-0432.ccr-03-0384openalex-snapshot
Clinical Trial Substantiates the Predictive Value of O-6-Methylguanine-DNA Methyltransferase Promoter Methylation in Glioblastoma Patients Treated with Temozolomide
inferredcites →https://doi.org/10.1158/1078-0432.ccr-04-0392openalex-snapshot
CpG Island Hypermethylation of the DNA Repair Enzyme Methyltransferase Predicts Response to Temozolomide in Primary Gliomas
inferredcites →https://doi.org/10.1158/1078-0432.ccr-06-2184openalex-snapshot
Methylation of O6-Methylguanine DNA Methyltransferase and Loss of Heterozygosity on 19q and/or 17p Are Overlapping Features of Secondary Glioblastomas with Prolonged Survival
inferredcites →https://doi.org/10.1200/jco.1990.8.7.1277openalex-snapshot
Response criteria for phase II studies of supratentorial malignant glioma.
inferredcites →https://doi.org/10.1200/jco.2002.06.110openalex-snapshot
Clinical Relevance of MGMT in the Treatment of Cancer
inferredcites →https://doi.org/10.1200/jco.2007.11.5964openalex-snapshot
Correlation of O 6 -Methylguanine Methyltransferase (MGMT) Promoter Methylation With Clinical Outcomes in Glioblastoma and Clinical Strategies to Modulate MGMT Activity
inferredcites →https://doi.org/10.1200/jco.2007.14.8163openalex-snapshot
MGMT Promoter Methylation Status Can Predict the Incidence and Outcome of Pseudoprogression After Concomitant Radiochemotherapy in Newly Diagnosed Glioblastoma Patients
inferredcites →https://doi.org/10.1215/15228517-2008-008openalex-snapshot
Disease progression or pseudoprogression after concomitant radiochemotherapy treatment: Pitfalls in neurooncology
inferredcites →https://doi.org/10.1259/bjr/83796755openalex-snapshot
A clinical review of treatment outcomes in glioblastoma multiforme—the validation in a non-trial population of the results of a randomised Phase III clinical trial: has a more radical approach improved survival?

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Advanced Imaging of the Peritumoral Infiltration Zone Suggests Different Tissue Characteristics by MGMT Promoter Methylation Status in Glioblastoma
inferred← citeshttps://doi.org/10.1002/14651858.cd013316.pub2openalex-snapshot
Prognostic value of test(s) for O6-methylguanine–DNA methyltransferase (MGMT) promoter methylation for predicting overall survival in people with glioblastoma treated with temozolomide
inferred← citeshttps://doi.org/10.1002/brb3.70175openalex-snapshot
Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis
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Differentiation of pancreatobiliary-type from intestinal-type periampullary carcinomas using 3.0T MRI
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Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma
inferred← citeshttps://doi.org/10.1002/jmrs.103openalex-snapshot
Using the apparent diffusion coefficient to identifying MGMT promoter methylation status early in glioblastoma: importance of analytical method
inferred← citeshttps://doi.org/10.1002/nbm.4719openalex-snapshot
Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma
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Radiomics and Machine Learning
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Advanced Physiologic Imaging: Diffusion – Theory and Applications
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Next Frontiers in Surgical Management
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Update on Glioma’s Neuroradiology
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Advances and Technical Standards in Neurosurgery
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Clinical Relevance of Prognostic and Predictive Molecular Markers in Gliomas
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Imaging in Neuro-Oncology
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Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume
inferred← citeshttps://doi.org/10.1007/s00330-017-4751-xopenalex-snapshot
Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma
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Discriminating MGMT promoter methylation status in patients with glioblastoma employing amide proton transfer-weighted MRI metrics
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A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication
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Diffusion kurtosis imaging in evaluating gliomas: different region of interest selection methods on time efficiency, measurement repeatability, and diagnostic ability
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Prediction of Ki-67 labeling index, ATRX mutation, and MGMT promoter methylation status in IDH-mutant astrocytoma by morphological MRI, SWI, DWI, and DSC-PWI
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Prognostic factors in adult brainstem glioma: a tertiary care center analysis and review of the literature
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Predictive markers for MGMT promoter methylation in glioblastomas
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Prognostic paradox: brain damage around the glioblastoma resection cavity
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Prognostic value of combined visualization of MR diffusion and perfusion maps in glioblastoma
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Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma
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Comparative analysis of the diffusion kurtosis imaging and diffusion tensor imaging in grading gliomas, predicting tumour cell proliferation and IDH-1 gene mutation status
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Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas
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Differentiating pseudoprogression from true progression: analysis of radiographic, biologic, and clinical clues in GBM
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The role of imaging for the management of newly diagnosed glioblastoma in adults: a systematic review and evidence-based clinical practice guideline update
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Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma
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Predictive markers for molecular subtypes and WHO grade: T1ρ-MRI in adult-type diffuse gliomas
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Updates in IDH-Wildtype Glioblastoma
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Diffusion magnetic resonance imaging in brain tumours
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Magnetic resonance diffusion metrics indexing high focal cellularity and sharp transition at the tumour boundary predict poor outcome in glioblastoma multiforme
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Deciphering glioblastoma: Unveiling imaging markers for predicting MGMT promoter methylation status
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Clinical impact of molecular biomarkers in gliomas
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Imaging of Central Nervous System Tumors Based on the 2016 World Health Organization Classification
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Advancing Imaging to Enhance Surgery
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Updates on Deep Learning and Glioma
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A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas
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Imaging Findings of New Entities and Patterns in Brain Tumor
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Relationship of In Vivo MR Parameters to Histopathological and Molecular Characteristics of Newly Diagnosed, Nonenhancing Lower-Grade Gliomas
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Apparent Diffusion Coefficient as a Predictive Biomarker for Survival in Patients with Treatment-Naive Glioblastoma Using Quantitative Multiparametric Magnetic Resonance Profiling
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Comparison of machine learning classifiers to predict patient survival and genetics of GBM: towards a standardized model for clinical implementation
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Chronic arterial hypertension impedes glioma growth: a multiparametric MRI study in the rat
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Post-radiotherapy apparent diffusion coefficient (ADC) in children and young adults with high-grade gliomas and diffuse intrinsic pontine gliomas
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Radiomics, mirnomics, and radiomirRNomics in glioblastoma: defining tumor biology from shadow to light
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MGMT Promoter Methylation Status Is Not Related to Histological or Radiological Features in IDH Wild-type Glioblastomas
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Radiomics for predicting MGMT status in cerebral glioblastoma: comparison of different MRI sequences
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Assessment and treatment relevance in elderly glioblastoma patients
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Longitudinal MR spectroscopy to detect progression in patients with lower-grade glioma in the surveillance phase
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18F-Fluorodeoxyglucose and 11C-methionine positron emission tomography in relation to methyl-guanine methyltransferase promoter methylation in high-grade gliomas
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MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
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Incremental Prognostic Value of ADC Histogram Analysis over MGMT Promoter Methylation Status in Patients with Glioblastoma
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Imaging Correlates of Adult Glioma Genotypes
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Current Status of Cancer Genomics and Imaging Phenotypes: What Radiologists Need to Know
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Adult diffuse gliomas: What the neuroradiologist needs to know
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Feasibility of evaluating the histologic and genetic subtypes of WHO grade II-IV gliomas by diffusion-weighted imaging
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Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis
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Pre-operative apparent diffusion coefficient values and tumour region volumes as prognostic biomarkers in glioblastoma: correlation and progression-free survival analyses
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18F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma
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Quantification of fractional tumor burden for the early detection of post-treatment glioblastoma progression
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Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox's proportional-hazards regression model for prediction of survival in high-grade gliomas
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Imaging genomics in cancer research: limitations and promises
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Challenges and opportunities for advanced neuroimaging of glioblastoma
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MGMT Promoter Methylation Correlates with an Overall Survival Benefit in Chinese High-Grade Glioblastoma Patients Treated with Radiotherapy and Alkylating Agent-Based Chemotherapy: A Single-Institution Study
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Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile
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Complex Underdetermination and the Units of Clinical Translation
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Evaluation of astrocytoma cell proliferation using diffusion-weighted imaging: correlation with expression of proliferating cell nuclear antigen
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Intratumoral and Peritumoral Apparent Diffusion Coefficient and MGMT mRNA Expression in Different Meningioma Histopathological Grade
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Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis
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Personalized treatment strategies in glioblastoma: MGMT promoter methylation status
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Diagnosis and New Treatment Modalities for Glioblastoma: Do They Improve Patient Survival?
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Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of High-Grade Glioma: Towards a Standardized Model for Clinical Implementation (Preprint)
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Imaging Genetic Heterogeneity in Glioblastoma and Other Glial Tumors: Review of Current Methods and Future Directions
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Emerging methods for disease monitoring in malignant gliomas
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Meta-Analysis of Diffusion Metrics for the Prediction of Tumor Grade in Gliomas
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Clinically Relevant Imaging Features forMGMTPromoter Methylation in Multiple Glioblastoma Studies: A Systematic Review and Meta-Analysis
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MGMT Promoter Methylation Status in Initial and Recurrent Glioblastoma: Correlation Study with DWI and DSC PWI Features
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Advanced Distance-Resolved Evaluation of the Perienhancing Tumor Areas with FLAIR Hyperintensity Indicates Different ADC Profiles by MGMT Promoter Methylation Status in Glioblastoma
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Genetic-based prediction of disease traits: prediction is very difficult, especially about the future†
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Histogram Analysis of Diffusion Weighted Imaging in Low-Grade Gliomas: in vivo Characterization of Tumor Architecture and Corresponding Neuropathology
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AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?
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Apparent diffusion coefficient predicts MGMT status in adult-type diffuse gliomas and is correlated with Ki-67 proliferation index
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Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics—A Systematic Review
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Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors
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Diffusion Weighted Imaging in Gliomas: A Histogram-Based Approach for Tumor Characterization
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Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis
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Validation of MRI-Based Models to Predict MGMT Promoter Methylation in Gliomas: BraTS 2021 Radiogenomics Challenge
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Diffusion Weighted Imaging in Neuro-Oncology: Diagnosis, Post-Treatment Changes, and Advanced Sequences—An Updated Review
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Development of A Radiomic Model for MGMT Promoter Methylation Detection in Glioblastoma Using Conventional MRI
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Deep Learning Can Differentiate IDH-Mutant from IDH-Wild GBM
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Impact of Sex Hormones on Glioblastoma: Sex-Related Differences and Neuroradiological Insights
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Correlation of conventional magnetic resonance imaging features with O6-methylguanine-DNA-methyltransferase gene promoter methylation status and survival outcomes in patients with newly diagnosed glioblastoma: Single-center correlative imaging substudy from a prospective clinical trial
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Deep learning can differentiate IDH-mutant from IDH-wild type GBM
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Diffusion imaging in gliomas: how ADC values forecast glioma genetics
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Diagnostic performance of radiomics using machine learning algorithms to predict MGMT promoter methylation status in glioma patients: a meta-analysis
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