BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 36445697)

  • 21. Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning.
    Lee J; Wang N; Turk S; Mohammed S; Lobo R; Kim J; Liao E; Camelo-Piragua S; Kim M; Junck L; Bapuraj J; Srinivasan A; Rao A
    Sci Rep; 2020 Nov; 10(1):20331. PubMed ID: 33230285
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Machine learning predicts histologic type and grade of canine gliomas based on MRI texture analysis.
    Barge P; Oevermann A; Maiolini A; Durand A
    Vet Radiol Ultrasound; 2023 Jul; 64(4):724-732. PubMed ID: 37133981
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning.
    Im S; Hyeon J; Rha E; Lee J; Choi HJ; Jung Y; Kim TJ
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34067934
    [TBL] [Abstract][Full Text] [Related]  

  • 24. DNA methylation signatures for 2016 WHO classification subtypes of diffuse gliomas.
    Paul Y; Mondal B; Patil V; Somasundaram K
    Clin Epigenetics; 2017; 9():32. PubMed ID: 28392842
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Upfront Therapy of Aggressive/High-Risk Low-Grade Glioma: Single-Institution Outcome Analysis of Temozolomide-Based Radio-Chemotherapy and Adjuvant Chemotherapy.
    Anand S; Chatterjee A; Gupta T; Panda P; Moiyadi A; Epari S; Patil V; Krishnatry R; Goda JS; Jalali R
    World Neurosurg; 2021 Oct; 154():e176-e184. PubMed ID: 34245877
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prognostic impact of the 2016 WHO classification of diffuse gliomas in the French POLA cohort.
    Tabouret E; Nguyen AT; Dehais C; Carpentier C; Ducray F; Idbaih A; Mokhtari K; Jouvet A; Uro-Coste E; Colin C; Chinot O; Loiseau H; Moyal E; Maurage CA; Polivka M; Lechapt-Zalcman E; Desenclos C; Meyronet D; Delattre JY; Figarella-Branger D;
    Acta Neuropathol; 2016 Oct; 132(4):625-34. PubMed ID: 27573687
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery.
    Cimino PJ; Zager M; McFerrin L; Wirsching HG; Bolouri H; Hentschel B; von Deimling A; Jones D; Reifenberger G; Weller M; Holland EC
    Acta Neuropathol Commun; 2017 May; 5(1):39. PubMed ID: 28532485
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Microvascular characteristics of lower-grade diffuse gliomas: investigating vessel size imaging for differentiating grades and subtypes.
    Guo H; Kang H; Tong H; Du X; Liu H; Tan Y; Yang Y; Wang S; Zhang W
    Eur Radiol; 2019 Apr; 29(4):1893-1902. PubMed ID: 30276676
    [TBL] [Abstract][Full Text] [Related]  

  • 29. An integrative non-invasive malignant brain tumors classification and Ki-67 labeling index prediction pipeline with radiomics approach.
    Zhang L; Liu X; Xu X; Liu W; Jia Y; Chen W; Fu X; Li Q; Sun X; Zhang Y; Shu S; Zhang X; Xiang R; Chen H; Sun P; Geng D; Yu Z; Liu J; Wang J
    Eur J Radiol; 2023 Jan; 158():110639. PubMed ID: 36463703
    [TBL] [Abstract][Full Text] [Related]  

  • 30. [Arterial blood supply of stained brain tumors in the serial angiogram].
    Gund A
    Acta Neurochir (Wien); 1968; 19(4):233-40. PubMed ID: 4185997
    [No Abstract]   [Full Text] [Related]  

  • 31. Annotation-free glioma grading from pathological images using ensemble deep learning.
    Su F; Cheng Y; Chang L; Wang L; Huang G; Yuan P; Zhang C; Ma Y
    Heliyon; 2023 Mar; 9(3):e14654. PubMed ID: 37009333
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Evaluation of the extension of cerebral gliomas by scintigraphy.
    Weckesser M; Matheja P; Rickert C; Löttgen J; Palkovic S; Riemann B; Paulus W; Wassmann H; Schober O
    Strahlenther Onkol; 2000 Apr; 176(4):180-5. PubMed ID: 10812391
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparative evaluation of intracranial oligodendroglioma and astrocytoma of similar grades using conventional and T1-weighted DCE-MRI.
    Gupta M; Gupta A; Yadav V; Parvaze SP; Singh A; Saini J; Patir R; Vaishya S; Ahlawat S; Gupta RK
    Neuroradiology; 2021 Aug; 63(8):1227-1239. PubMed ID: 33469693
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading.
    Pei L; Jones KA; Shboul ZA; Chen JY; Iftekharuddin KM
    Front Oncol; 2021; 11():668694. PubMed ID: 34277415
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Analysis of isocitrate dehydrogenase 1 mutation in 97 patients with glioma.
    Zhou YX; Wang JX; Feng M; Sun CM; Sun T; Chen GL; Du ZW
    J Mol Neurosci; 2012 Jul; 47(3):442-7. PubMed ID: 22113362
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Reproducible imaging-based prediction of molecular subtype and risk stratification of gliomas across different experience levels using a structured reporting system.
    Nam YK; Park JE; Park SY; Lee M; Kim M; Nam SJ; Kim HS
    Eur Radiol; 2021 Oct; 31(10):7374-7385. PubMed ID: 34374800
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach.
    Latysheva A; Emblem KE; Brandal P; Vik-Mo EO; Pahnke J; Røysland K; Hald JK; Server A
    Neuroradiology; 2019 May; 61(5):545-555. PubMed ID: 30712139
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Magnetic resonance imaging criteria for prediction of isocitrate dehydrogenase (IDH) mutation status in patients with grade II-III astrocytoma and oligodendroglioma.
    Çelik S; Öven BB; Demir MK; Yılmaz EÇ; Kanan D; Özdamarlar U; Emirzeoglu L; Yapıcıer Ö; Kılıç T
    Clin Neurol Neurosurg; 2021 Aug; 207():106745. PubMed ID: 34146841
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Glioma grading using a machine-learning framework based on optimized features obtained from T
    Sengupta A; Ramaniharan AK; Gupta RK; Agarwal S; Singh A
    J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Surveillance imaging frequency in adult patients with lower-grade (WHO Grade 2 and 3) gliomas.
    Jo J; van den Bent MJ; Nabors B; Wen PY; Schiff D
    Neuro Oncol; 2022 Jul; 24(7):1035-1047. PubMed ID: 35137214
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.