Initial experience of characterizing recurrent IDH-mutant astrocytoma using multi-parametric 1H/HP-13C MRI and histopathological analysis

Motivation: Understanding the metabolic profile of glioma is crucial for enhancing diagnostic and treatment precision. This study leverages advanced imaging and histopathology to delve into glioma metabolism. Goal(s): To integrate multi-parametric 1H/HP-13C MRI data with histopathological analysis of glioma biopsy samples, enabling detailed characterizations of metabolic dysregulation in glioma. Approach: Four patients with IDH-mutant astrocytoma underwent multi-parametric 1H/HP-13C MR imaging before surgery, followed by histological analysis of tumor biopsy samples. Metabolic conversion rates and histological markers of hypoxia, vascularity, and proliferation were obtained. Results: The findings reveal correlations between imaging-derived biomarkers and histopathological features, with correlations observed between Ki-67 expression and perfusion parameters. Impact: This study advances the understanding of glioma metabolism through the integration of novel multi-parametric 1H/HP-13C MRI and tumor histopathological analysis. The insights can enhance precision in characterizing glioma, potentially guiding tailored treatment strategies.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2394
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Initial experience of characterizing recurrent IDH-mutant astrocytoma using multi-parametric 1H/HP-13C MRI and histopathological analysis

Xiaolong Xing, Janine Lupo, Joanna J. Phillips, Tracy Luks et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Glioma Diagnosis and Treatment
article

Initial experience of characterizing recurrent IDH-mutant astrocytoma using multi-parametric 1H/HP-13C MRI and histopathological analysis

Xiaolong Xing, Janine Lupo, Joanna J. Phillips, Tracy Luks, Javier Villanueva-Meyer, Adam Autry, Marisa Lafontaine, Devika Nair, Susan M. Chang, Yan Li, Hervey-Jumper Shawn
article en

Abstract

Motivation: Understanding the metabolic profile of glioma is crucial for enhancing diagnostic and treatment precision. This study leverages advanced imaging and histopathology to delve into glioma metabolism. Goal(s): To integrate multi-parametric 1H/HP-13C MRI data with histopathological analysis of glioma biopsy samples, enabling detailed characterizations of metabolic dysregulation in glioma. Approach: Four patients with IDH-mutant astrocytoma underwent multi-parametric 1H/HP-13C MR imaging before surgery, followed by histological analysis of tumor biopsy samples. Metabolic conversion rates and histological markers of hypoxia, vascularity, and proliferation were obtained. Results: The findings reveal correlations between imaging-derived biomarkers and histopathological features, with correlations observed between Ki-67 expression and perfusion parameters. Impact: This study advances the understanding of glioma metabolism through the integration of novel multi-parametric 1H/HP-13C MRI and tumor histopathological analysis. The insights can enhance precision in characterizing glioma, potentially guiding tailored treatment strategies.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Glioma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.