Application of Emerging Technologies in the Diagnosis and Treatment of Patients with Brain Tumors: New Frontiers in Imaging for Neuro-oncology

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ORIGINAL RESEARCH

Accepted on 21 Apr 2025

Virtual Phantom Methodology for MRI Distortion Correction Virtual Phantom Methodology for Assessment of MRI Distortion Correction in High-precision Stereotactic Radiosurgery Treatment Planning

Tristan Belloeil-Marrane
Adrian Gutierrez
Marlies Boussaer
Cristina Teixeira
Thierry Gevaert
Mark De Ridder

doi 10.3389/fonc.2025.1530332

ORIGINAL RESEARCH

Published on 16 Apr 2025

The diagnostic value of advanced tracer kinetic models in evaluating high grade gliomas recurrence and treatment response using dynamic contrast-enhanced MRI

Jianan Zhou
Zujun Hou
Xiuqi Guan
Zhengyang Zhu
Han Wang
Cong Wang
Wei Luo
Chuanshuai Tian
Huiquan Yang
3 more
Bing Zhang

doi 10.3389/fonc.2025.1536122

222 views

ORIGINAL RESEARCH

Published on 04 Feb 2025

DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture

Ruipeng Li
Yuehui Liao
Yueqi Huang
Xiaofei Ma
Guohua Zhao
Yanbin Wang
Chen Song

doi 10.3389/fonc.2025.1449911

476 views

MINI REVIEW

Published on 30 Jan 2025

Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms

Noémie N. Moreau
Samuel Valable
Cyril Jaudet
Loïse Dessoude
Leleu Thomas
Romain Hérault
Romain Modzelewski
Dinu Stefan
Juliette Thariat
1 more
Aurélien Corroyer-Dulmont

doi 10.3389/fonc.2025.1497195

717 views
1 citation

ORIGINAL RESEARCH

Published on 23 Dec 2024

VASARI 2.0: a new updated MRI VASARI lexicon to predict grading and IDH status in brain glioma

Alberto Negro
Laura Gemini
Mario Tortora
Gianvito Pace
Raffaele Iaccarino
Mario Marchese
Andrea Elefante
Fabio Tortora
Vincenzo D'Agostino
members of ODM Multidisciplinary Neuro-Oncology Group

doi 10.3389/fonc.2024.1449982

652 views

ORIGINAL RESEARCH

Published on 14 Nov 2024

Development and validation of a MRI-radiomics-based machine learning approach in High Grade Glioma to detect early recurrence

Fabrizio Pignotti
Tamara Ius
Rosellina Russo
Daniele Bagatto
Francesco Beghella Bartoli
Edda Boccia
Luca Boldrini
Silvia Chiesa
Chiara Ciardi
10 more
Giovanni Sabatino

doi 10.3389/fonc.2024.1449235

698 views

CASE REPORT

Published on 11 Oct 2024

Case report: An autopsy report of patient with metastatic brain tumor and carcinomatous meningitis mimicking paraneoplastic neurological syndrome

Ryota Amano
Azusa Sunouchi
Yuka Yokota
Kunio Mochizuki

doi 10.3389/fneur.2024.1471668

645 views

ORIGINAL RESEARCH

Published on 04 Sep 2024

Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade

Chi Zhang
Peng Wang
Jinlong He
Qiong Wu
Shenghui Xie
Bo Li
Xiangcheng Hao
Shaoyu Wang
Huapeng Zhang
5 more
Yang Gao

doi 10.3389/fonc.2024.1435204

1,122 views

SYSTEMATIC REVIEW

Published on 30 Jul 2024

Diagnostic accuracy of a machine learning-based radiomics approach of MR in predicting IDH mutations in glioma patients: a systematic review and meta-analysis

Xiaoli Chen
Junqiang Lei
Shuaiwen Wang
Jing Zhang
Lubin Gou

doi 10.3389/fonc.2024.1409760

988 views
1 citation

ORIGINAL RESEARCH

Published on 13 May 2024

MRI-based intratumoral and peritumoral radiomics for preoperative prediction of glioma grade: a multicenter study

Rui Tan
Chunxiao Sui
Chao Wang
Tao Zhu

doi 10.3389/fonc.2024.1401977

1,426 views
2 citations

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Frontiers in Oncology

Cancer Imaging and Image-directed Interventions
Neuro-Oncology and Neurosurgical Oncology

Participating Journals

Frontiers in Neurology
- Neuro-Oncology and Neurosurgical Oncology
- 2.7 impact factor
- 4.9 citescore

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Articles

Virtual Phantom Methodology for MRI Distortion Correction Virtual Phantom Methodology for Assessment of MRI Distortion Correction in High-precision Stereotactic Radiosurgery Treatment Planning

The diagnostic value of advanced tracer kinetic models in evaluating high grade gliomas recurrence and treatment response using dynamic contrast-enhanced MRI

DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture

Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms

VASARI 2.0: a new updated MRI VASARI lexicon to predict grading and IDH status in brain glioma

Development and validation of a MRI-radiomics-based machine learning approach in High Grade Glioma to detect early recurrence

Case report: An autopsy report of patient with metastatic brain tumor and carcinomatous meningitis mimicking paraneoplastic neurological syndrome

Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade

Diagnostic accuracy of a machine learning-based radiomics approach of MR in predicting IDH mutations in glioma patients: a systematic review and meta-analysis

MRI-based intratumoral and peritumoral radiomics for preoperative prediction of glioma grade: a multicenter study

Frontiers in Oncology

Cancer Imaging and Image-directed Interventions

Neuro-Oncology and Neurosurgical Oncology

Participating Journals

Frontiers in Neurology

Neuro-Oncology and Neurosurgical Oncology