Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

DKI can distinguish high-grade gliomas from IDH1-mutant low-grade gliomas and correlate with their different nuclear-to-cytoplasm ratio: a localized biopsy-based study.

European radiology - 1 Nov 2024

Pang Haopeng, Dang Xuefei, Ren Yan, Yao Zhenwei, Shen Yehua, Feng Xiaoyuan, Wang Zhongmin

Abstract excerpt

OBJECTIVES: To explore whether differences in diffusional kurtosis imaging (DKI) between therapy-naïve high-grade gliomas (HGGs) and low-grade gliomas (LGGs) are related to the cellularity and/or the nuclear-to-cytoplasmic (N/C) ratio. METHODS: We analyzed 44 and 40 diffuse glioma samples that were pathologically confirmed as HGGs and IDH1-mutant LGGs, respectively. The DKI parameters included kurtosis metrics...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biopsy
Share to Brain Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cytoplasm

Share to Diffusion Magnetic Resonance Imaging

Share to Diffusion Tensor Imaging

Share to Glioma

Share to Isocitrate Dehydrogenase

Share to Neoplasm Grading

Source

Identifiers

PMID: 37962597
DOI: 10.1007/s00330-023-10325-8

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

DKI can distinguish high-grade gliomas from IDH1-mutant low-grade gliomas and correlate with their different nuclear-to-cytoplasm ratio: a localized biopsy-based study.PMID 37962597Read ↗

Diffusion kurtosis imaging combined with molecular markers as a comprehensive approach to predict overall survival in patients with gliomas.Semantic proximity Read ↗

Two Diffusion Kurtosis Imaging Post-processing Methods for Differentiating Glioma Grades, IDH Mutation Statuses, and HeterogeneitySemantic proximity Read ↗

Assessment of IDH1 Genotype and Cell Proliferation in Gliomas Using Diffusion Magnetic Resonance ImagingSemantic proximity Read ↗

In vivo molecular profiling of human glioma using diffusion kurtosis imaging.Semantic proximity Read ↗

Applying MAP-MRI to Identify the WHO Grade and Main Genetic Features of Adult-type Diffuse Gliomas: A Comparison of Three Diffusion-weighted MRI Models.Semantic proximity Read ↗

Advanced imaging of IDH-mutant gliomas: Precision in diagnosis and management.Semantic proximity Read ↗

Combined texture analysis of dynamic contrast-enhanced MRI with histogram analysis of diffusion kurtosis imaging for predicting IDH mutational status in gliomas.Semantic proximity Read ↗

Diagnostic performance between MR amide proton transfer (APT) and diffusion kurtosis imaging (DKI) in glioma grading and IDH mutation status prediction at 3 T.Semantic proximity Read ↗

A novel MRI diffusion metric 'slow diffusion coefficient' (SDC) for diagnosing isocitrate dehydrogenase (IDH) genotype in diffuse gliomas: initial promising results.Semantic proximity Read ↗

Quantitative analysis of neurite orientation dispersion and density imaging in grading gliomas and detecting IDH-1 gene mutation status.Semantic proximity Read ↗

Diagnostic performance of gliomas grading and IDH status decoding A comparison between 3D amide proton transfer APT and four diffusion-weighted MRI models.Semantic proximity Read ↗

A three-component multi-b-value diffusion-weighted imaging might be a useful biomarker for detecting microstructural features in gliomas with differences in malignancy and IDH-1 mutation status.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.