These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 38054228)

  • 1. Non-invasive diagnosis of brain gliomas by histological type using neuroradiomics in standardized regions of interest: towards digital biopsy.
    Danilov GV; Shevchenko AM; Konakova TA; Pogosbekyan EL; Shugai SV; Tsukanova TV; Zakharova NE; Batalov AI; Agrba SB; Vikhrova NB; Pronin IN
    Zh Vopr Neirokhir Im N N Burdenko; 2023; 87(6):59-66. PubMed ID: 38054228
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MRI based texture analysis to classify low grade gliomas into astrocytoma and 1p/19q codeleted oligodendroglioma.
    Zhang S; Chiang GC; Magge RS; Fine HA; Ramakrishna R; Chang EW; Pulisetty T; Wang Y; Zhu W; Kovanlikaya I
    Magn Reson Imaging; 2019 Apr; 57():254-258. PubMed ID: 30465868
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MR textural analysis on T
    Rui W; Ren Y; Wang Y; Gao X; Xu X; Yao Z
    J Magn Reson Imaging; 2018 Jul; 48(1):74-83. PubMed ID: 29140606
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Diagnostic algorithm for pathological evaluation of gliomas in a resource-constrained setting.
    Jain S; Gupta P; Shankar KB; Singh R; Siraj F
    J Cancer Res Ther; 2023; 19(3):562-566. PubMed ID: 37470575
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomics Analysis for Glioma Malignancy Evaluation Using Diffusion Kurtosis and Tensor Imaging.
    Takahashi S; Takahashi W; Tanaka S; Haga A; Nakamoto T; Suzuki Y; Mukasa A; Takayanagi S; Kitagawa Y; Hana T; Nejo T; Nomura M; Nakagawa K; Saito N
    Int J Radiat Oncol Biol Phys; 2019 Nov; 105(4):784-791. PubMed ID: 31344432
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Threshold of the extent of resection for WHO Grade III gliomas: retrospective volumetric analysis of 122 cases using intraoperative MRI.
    Fujii Y; Muragaki Y; Maruyama T; Nitta M; Saito T; Ikuta S; Iseki H; Hongo K; Kawamata T
    J Neurosurg; 2018 Jul; 129(1):1-9. PubMed ID: 28885120
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Robust texture features for response monitoring of glioblastoma multiforme on T1-weighted and T2-FLAIR MR images: a preliminary investigation in terms of identification and segmentation.
    Assefa D; Keller H; Ménard C; Laperriere N; Ferrari RJ; Yeung I
    Med Phys; 2010 Apr; 37(4):1722-36. PubMed ID: 20443493
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Anaplastic astrocytoma and anaplastic oligodendroglioma of the brain: current state of the problem].
    Belyaev AY; Usachev DY; Pronin IN; Shults EI; Batalov AI
    Zh Vopr Neirokhir Im N N Burdenko; 2021; 85(4):96-102. PubMed ID: 34463456
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy.
    Ranjith G; Parvathy R; Vikas V; Chandrasekharan K; Nair S
    Neuroradiol J; 2015 Apr; 28(2):106-11. PubMed ID: 25923676
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Imaging of hypoxic lesions in patients with gliomas by using positron emission tomography with 1-(2-[18F] fluoro-1-[hydroxymethyl]ethoxy)methyl-2-nitroimidazole, a new 18F-labeled 2-nitroimidazole analog.
    Shibahara I; Kumabe T; Kanamori M; Saito R; Sonoda Y; Watanabe M; Iwata R; Higano S; Takanami K; Takai Y; Tominaga T
    J Neurosurg; 2010 Aug; 113(2):358-68. PubMed ID: 19895196
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Magnetic resonance perfusion for differentiating low-grade from high-grade gliomas at first presentation.
    Abrigo JM; Fountain DM; Provenzale JM; Law EK; Kwong JS; Hart MG; Tam WWS
    Cochrane Database Syst Rev; 2018 Jan; 1(1):CD011551. PubMed ID: 29357120
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images.
    Sengupta A; Agarwal S; Gupta PK; Ahlawat S; Patir R; Gupta RK; Singh A
    Eur J Radiol; 2018 Sep; 106():199-208. PubMed ID: 30150045
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics.
    Carré A; Klausner G; Edjlali M; Lerousseau M; Briend-Diop J; Sun R; Ammari S; Reuzé S; Alvarez Andres E; Estienne T; Niyoteka S; Battistella E; Vakalopoulou M; Dhermain F; Paragios N; Deutsch E; Oppenheim C; Pallud J; Robert C
    Sci Rep; 2020 Jul; 10(1):12340. PubMed ID: 32704007
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Neuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in
    Batchala PP; Muttikkal TJE; Donahue JH; Patrie JT; Schiff D; Fadul CE; Mrachek EK; Lopes MB; Jain R; Patel SH
    AJNR Am J Neuroradiol; 2019 Mar; 40(3):426-432. PubMed ID: 30705071
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
    Kim M; Jung SY; Park JE; Jo Y; Park SY; Nam SJ; Kim JH; Kim HS
    Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence-Assisted Classification of Gliomas Using Whole Slide Images.
    Jose L; Liu S; Russo C; Cong C; Song Y; Rodriguez M; Di Ieva A
    Arch Pathol Lab Med; 2023 Aug; 147(8):916-924. PubMed ID: 36445697
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clinical applicability of signal heterogeneity and tumor border assessment on T2-weighted MR images to distinguish astrocytic from oligodendroglial origin of gliomas.
    Mannil M; Hofmeester K; Fasen B; Gijtenbeek A; Kurt E; Ter Laan M; Pegge S; Meijer FJA; Prokop M; Smits M; Henssen DJHA
    Eur J Radiol; 2024 Sep; 178():111643. PubMed ID: 39067267
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.