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

Texture analysis of T2-weighted MRI predicts SDH mutation in paraganglioma.

Neuroradiology - 1 Apr 2021

Naganawa Shotaro, Kim John, Yip Stephen S F, Ota Yoshiaki, Srinivasan Ashok, Moritani Toshio

Abstract excerpt

PURPOSE: Texture analysis can quantify sophisticated imaging characteristics. We hypothesized that 2D textures computed with T2-weighted and post-contrast T1-weighted MRI can predict succinate dehydrogenase (SDH) mutation status in head and neck paragangliomas. METHODS: Our retrospective study included 21 patients (1 to 4 tumors/patient) with 24 pathologically proven paragangliomas in the head and neck. Fourteen...

Read the complete abstract on PubMed

Topics

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

Share to Magnetic Resonance Imaging
Share to Mutation
Share to Paraganglioma

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Succinate Dehydrogenase

Source

Identifiers

PMID: 33215243
DOI: 10.1007/s00234-020-02607-5

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Texture analysis of T2-weighted MRI predicts SDH mutation in paraganglioma.PMID 33215243Read ↗

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 ↗

Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a preliminary study.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 ↗

Radiological model based on the standard magnetic resonance sequences for detecting methylguanine methyltransferase methylation in glioma using texture analysisSemantic proximity Read ↗

Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.Semantic proximity Read ↗

Diffusion tensor image features predict IDH genotype in newly diagnosed WHO grade II/III gliomas.Semantic proximity Read ↗

Susceptibility-Weighted MRI for Predicting NF-2 Mutations and S100 Protein Expression in MeningiomasSemantic proximity Read ↗

Histogram Analysis of Apparent Diffusion Coefficient Maps Provides Genotypic and Pretreatment Phenotypic Information in Pediatric and Young Adult Rhabdomyosarcoma.Semantic proximity Read ↗

Susceptibility-Weighted MRI for Predicting NF-2 Mutation and S100 Protein Expression in MeningiomasSemantic proximity Read ↗

Characterizing MRI features of rectal cancers with different KRAS status.Semantic proximity Read ↗

Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma.Semantic proximity Read ↗

Application of Distributed Parameter Model to Assessment of Glioma IDH Mutation Status by Dynamic Contrast-Enhanced Magnetic Resonance Imaging.Semantic proximity Read ↗

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