Results 1 to 10 of about 571,282 (185)

Completely non-invasive prediction of IDH mutation status based on preoperative native CT images [PDF]

Scientific Reports
The isocitrate dehydrogenase (IDH) mutation status is one of the most important markers according to the 2021 WHO classification of CNS tumors. Preoperatively, this information is usually obtained based on invasive biopsies, contrast-enhanced MR images ...
Walter Heindel, Hermann Krähling, Manfred Musigmann   +2 more
exaly   +4 more sources

Haploinsufficiency of NFKBIA reshapes the epigenome antipodal to the IDH mutation and imparts disease fate in diffuse gliomas [PDF]

Cell Reports Medicine, 2023
Amy Webb, Markus Bredel, Laura Solé Font   +2 more
exaly   +2 more sources

Evaluating the grade and IDH mutation status of gliomas by using intravoxel incoherent motion (IVIM) MRI and DSC perfusion MRI. [PDF]

BMC Med Imaging
Background This study aimed to evaluate the diagnostic performance of intravoxel incoherent motion (IVIM) imaging and DSC perfusion MRI to predict the IDH mutation status of gliomas and differentiate high-grade gliomas (HGG) from low-grade gliomas (LGG).
Tacyildiz C, Aslan K, İncesu L, Yergin Tacyildiz S, Genç B.   +4 more
europepmc   +2 more sources

Comparing artificial intelligence and physician performance in predicting IDH mutation status in glioma. [PDF]

NPJ Digit Med
Predicting isocitrate dehydrogenase (IDH) mutations in gliomas using magnetic resonance imaging (MRI) is clinically important for treatment planning.
Takahashi S, Takahashi M, Kinoshita M, Miyake M, Kawaguchi R, Shinojima N, Mukasa A, Saito K, Nagane M, Otani R, Higuchi F, Tanaka S, Hata N, Tamura K, Tateishi K, Nishikawa R, Arita H, Nonaka M, Uda T, Fukai J, Okita Y, Tsuyuguchi N, Kanemura Y, Tsushima F, Kakeda S, Akashi T, Taoka T, Watanabe Y, Yamada K, Hirai T, Azuma M, Yoshiura T, Sese J, Ichimura K, Narita Y, Hamamoto R.   +35 more
europepmc   +2 more sources

Integrating MRI radiomics and transcriptomics to predict IDH mutation status and prognosis in glioma. [PDF]

Cancer Cell Int
Objective To investigate MRI-based radiomic features in glioma and key genes related to IDH mutations, and to analyze their correlation. Methods 61 MRI files from TCIA were divided into training and validation sets (7:3).
Zhong RD, Li Q, Wang H, Kou ZW, Guo SX, Chen FF, Zhang N, Huang GD, Liu YS.   +8 more
europepmc   +2 more sources

MRI-Based Deep Learning Method for Classification of IDH Mutation Status. [PDF]

Bioengineering (Basel), 2023
Bangalore Yogananda CG, Wagner BC, Truong NCD, Holcomb JM, Reddy DD, Saadat N, Hatanpaa KJ, Patel TR, Fei B, Lee MD, Jain R, Bruce RJ, Pinho MC, Madhuranthakam AJ, Maldjian JA.   +14 more
europepmc   +1 more source

Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas. [PDF]

Front Neurol, 2023
Ioannidis GS, Pigott LE, Iv M, Surlan-Popovic K, Wintermark M, Bisdas S, Marias K.   +6 more
europepmc   +1 more source

Diagnostic Accuracy of APTw and NOEw MRI Metrics for IDH Mutation and 1p/19q Codeletion Prediction in Gliomas. [PDF]

NMR Biomed
Cadin C, Casagranda S, Lejeune FX, Golse M, Mathon B, Dipasquale O, Papageorgakis C, Zucchelli M, Mandonnet E, Lehéricy S, Bielle F, Sanson M, Liebig P, Zaiss M, Nichelli L, Branzoli F.   +15 more
europepmc   +1 more source

Radiomics-based models to predict IDH mutation status and prognosis in gliomas using MRI: a multicenter study. [PDF]

Front Oncol
Sümer-Arpak E, Ersen Danyeli A, Yakicier MC, Pamir MN, Özduman K, Dinçer A, Ozturk-Isik E.   +6 more
europepmc   +1 more source

Cellularity habitat-based MRI radiomics for non-invasive grading and IDH mutation prediction in adult-type diffuse glioma. [PDF]

BMC Med Imaging
Liang F, Zhen X, Lin J, Li J, Zhan J, Wei R, Zhang W, He Y, Wu M, Xu Y, Liu Y, Lai S, Yang R.   +12 more
europepmc   +1 more source