Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas.

doi:10.1038/s41598-023-48918-4

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

Community

Back to search

Article

Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas.

Scientific reports - 22 Dec 2023

Tillmanns Niklas, Lost Jan, Tabor Joanna, Vasandani Sagar, Vetsa Shaurey, Marianayagam Neelan, Yalcin Kanat, Erson-Omay E Zeynep, von Reppert Marc, Jekel Leon, Merkaj Sara, Ramakrishnan Divya, Avesta Arman, de Oliveira Santo Irene Dixe, Jin Lan, Huttner Anita, Bousabarah Khaled, Ikuta Ichiro, Lin MingDe, Aneja Sanjay, Turowski Bernd, Aboian Mariam, Moliterno Jennifer

Abstract excerpt

Gliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging biomarkers in glioblastomas using a new informatics workflow that enables rapid analysis of qualitative imaging features with Visually AcceSAble Rembrandtr Images (VASARI) for large datasets in PACS. Sixty nine patients undergoing GBM...

Read the complete abstract on PubMed

Topics

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

Share to Brain Neoplasms

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Cyclin-Dependent Kinase Inhibitor p16

Share to Cyclin-Dependent Kinase Inhibitor Proteins

Share to Glioblastoma

Share to Glioma

Share to Homozygote

Share to Mutation

Share to Sequence Deletion

Source

Open in PubMed Open full text

Identifiers

PMID: 38135704
DOI: 10.1038/s41598-023-48918-4
PMCID: PMC10746716

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas.PMID 38135704Read ↗

Whole brain morphologic features improve the predictive accuracy of IDH status and VEGF expression levels in gliomas.Semantic proximity Read ↗

Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)Semantic proximity Read ↗

Imaging predictors of 4q12 amplified and RB1 mutated glioblastoma IDH-wildtype.Semantic proximity Read ↗

A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.Semantic proximity Read ↗

Deep learning links localized digital pathology phenotypes with transcriptional subtype and patient outcome in glioblastoma.Semantic proximity Read ↗

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.Semantic proximity Read ↗

A multicenter Swedish histopathology image dataset of pediatric central nervous system tumorsSemantic proximity Read ↗

Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastomaSemantic proximity Read ↗

In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature.Semantic proximity Read ↗

Radiomic Phenotyping in Brain Cancer to Unravel Hidden Information in Medical Images.Semantic proximity Read ↗

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activitiesSemantic proximity Read ↗

Predicting MGMT Methylation in Glioblastoma for Informed Clinical Decisions: An AI-Driven Approach in Resource-Limited SettingsSemantic proximity Read ↗

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