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Radiomic features define risk and are linked to DNA methylation attributes in primary CNS lymphoma.

Karl-Heinz NenningJohanna GespergerJulia FurtnerAmelie NemcThomas Roetzer-PejrimovskySeung-Won ChoiChristian MitterStefan L LeberJohannes HofmanningerJohanna KlughammerBekir ErgünerMarlies BauerMartina BradaKyuha ChongTanisa Brandner-KokaljChristian F FreyschlagAstrid GramsJohannes HaybaeckSelma HoenigschnablMarkus HoffermannSarah IglsederBarbara KieselMelitta KitzwoegererWaltraud KleindienstFranz MarholdPatrizia MoserStefan OberndorferDaniel PinggeraFlorian ScheichelCamillo SherifGuenther StockhammerMartin StultschnigClaudius ThoméJohannes TrenklerTadeja Urbanic-PurkartSerge WeisGeorg WidhalmFranz WuertzMatthias PreusserBernhard BaumannIngrid Simonitsch-KluppDo-Hyun NamChristoph BockGeorg LangsAdelheid Woehrer
Published in: Neuro-oncology advances (2023)
The radiomic risk score was a robust and complementary predictor of survival and reflected characteristics in underlying DNA methylation patterns. Leveraging imaging phenotypes to assess risk and inform epigenetic treatment targets provides a concept on which to advance prognostic modeling and precision therapy for this aggressive cancer.
Keyphrases
  • dna methylation
  • gene expression
  • genome wide
  • papillary thyroid
  • diffuse large b cell lymphoma
  • squamous cell
  • replacement therapy