BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

203 related articles for article (PubMed ID: 37552657)

  • 21. A comprehensive correlation of the KI-67 proliferation index to patient´s, imaging and tumor features and its value in predicting long-term course of patients with newly diagnosed intracranial meningiomas.
    Wagle PR; Loeschner D; Rosahl S; Brodhun M; Gerlach R
    Neurosurg Rev; 2024 May; 47(1):241. PubMed ID: 38806958
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Predicting meningioma grades and pathologic marker expression via deep learning.
    Chen J; Xue Y; Ren L; Lv K; Du P; Cheng H; Sun S; Hua L; Xie Q; Wu R; Gong Y
    Eur Radiol; 2024 May; 34(5):2997-3008. PubMed ID: 37853176
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Radiomic Features of the Edema Region May Contribute to Grading Meningiomas With Peritumoral Edema.
    Guo Z; Tian Z; Shi F; Xu P; Zhang J; Ling C; Zeng Q
    J Magn Reson Imaging; 2023 Jul; 58(1):301-310. PubMed ID: 36259547
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Multi-parametric MRI-based machine learning model for prediction of WHO grading in patients with meningiomas.
    Zhao Z; Nie C; Zhao L; Xiao D; Zheng J; Zhang H; Yan P; Jiang X; Zhao H
    Eur Radiol; 2024 Apr; 34(4):2468-2479. PubMed ID: 37812296
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Presurgical detection of brain invasion status in meningiomas based on first-order histogram based texture analysis of contrast enhanced imaging.
    Kandemirli SG; Chopra S; Priya S; Ward C; Locke T; Soni N; Srivastava S; Jones K; Bathla G
    Clin Neurol Neurosurg; 2020 Nov; 198():106205. PubMed ID: 32932028
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Value of MRI Radiomics Based on Enhanced T1WI Images in Prediction of Meningiomas Grade.
    Chu H; Lin X; He J; Pang P; Fan B; Lei P; Guo D; Ye C
    Acad Radiol; 2021 May; 28(5):687-693. PubMed ID: 32418785
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A Machine Learning Model Based on Unsupervised Clustering Multihabitat to Predict the Pathological Grading of Meningiomas.
    Wang X; Li J; Sun J; Liu W; Cai L; Zhao P; Yang Z; Lv H; Wang Z
    Biomed Res Int; 2022; 2022():8955227. PubMed ID: 36132071
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Analysis of the results of recurrent intracranial meningiomas treated with re-radiosurgery.
    Kim M; Lee DH; Kim Rn HJ; Cho YH; Kim JH; Kwon DH
    Clin Neurol Neurosurg; 2017 Feb; 153():93-101. PubMed ID: 28081463
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Ki-67 proliferative index predicts clinical outcome in patients with atypical or anaplastic meningioma.
    Bruna J; Brell M; Ferrer I; Gimenez-Bonafe P; Tortosa A
    Neuropathology; 2007 Apr; 27(2):114-20. PubMed ID: 17494511
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Can amide proton transfer-weighted imaging differentiate tumor grade and predict Ki-67 proliferation status of meningioma?
    Yu H; Wen X; Wu P; Chen Y; Zou T; Wang X; Jiang S; Zhou J; Wen Z
    Eur Radiol; 2019 Oct; 29(10):5298-5306. PubMed ID: 30887206
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Clinical Features, Treatment, and Prognostic Factors of 56 Intracranial and Intraspinal Clear Cell Meningiomas.
    Tao X; Dong J; Hou Z; Hao S; Zhang J; Wu Z; Liu B
    World Neurosurg; 2018 Mar; 111():e880-e887. PubMed ID: 29325940
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI.
    Han Y; Wang T; Wu P; Zhang H; Chen H; Yang C
    Magn Reson Imaging; 2021 Apr; 77():36-43. PubMed ID: 33220449
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Value of KI-67/MIB-1 labeling index and simpson grading system to predict the recurrence of who grade I intracranial meningiomas compared to who grade II.
    Prat-Acín R; Guarín-Corredor MJ; Galeano-Senabre I; Ayuso-Sacido A; Vera-Sempere F
    J Clin Neurosci; 2021 Apr; 86():32-37. PubMed ID: 33775343
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning.
    Musigmann M; Akkurt BH; Krähling H; Brokinkel B; Henssen DJHA; Sartoretti T; Nacul NG; Stummer W; Heindel W; Mannil M
    Sci Rep; 2022 Aug; 12(1):14043. PubMed ID: 35982218
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting peritumoral edema development after gamma knife radiosurgery of meningiomas using machine learning methods: a multicenter study.
    Li X; Lu Y; Liu L; Wang D; Zhao Y; Mei N; Geng D; Ma X; Zheng W; Duan S; Wu PY; Wen H; Tan Y; Sun X; Sun S; Li Z; Yu T; Yin B
    Eur Radiol; 2023 Dec; 33(12):8912-8924. PubMed ID: 37498381
    [TBL] [Abstract][Full Text] [Related]  

  • 36. The role of diffusion tensor imaging and dynamic susceptibility perfusion MRI in the evaluation of meningioma grade and subtype.
    Zikou A; Alexiou GA; Goussia A; Kosta P; Xydis V; Voulgaris S; Kyritsis AP; Argyropoulou MI
    Clin Neurol Neurosurg; 2016 Jul; 146():109-15. PubMed ID: 27208870
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A retrospective analysis of survival and prognostic factors after stereotactic radiosurgery for aggressive meningiomas.
    Ferraro DJ; Funk RK; Blackett JW; Ju MR; DeWees TA; Chicoine MR; Dowling JL; Rich KM; Drzymala RE; Zoberi I; Simpson JR; Jaboin JJ
    Radiat Oncol; 2014 Jan; 9():38. PubMed ID: 24467972
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Clinical and histopathological predictors of outcome in malignant meningioma.
    Maier AD; Bartek J; Eriksson F; Ugleholdt H; Juhler M; Broholm H; Mathiesen TI
    Neurosurg Rev; 2020 Apr; 43(2):643-653. PubMed ID: 30868425
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.
    Hamerla G; Meyer HJ; Schob S; Ginat DT; Altman A; Lim T; Gihr GA; Horvath-Rizea D; Hoffmann KT; Surov A
    Magn Reson Imaging; 2019 Nov; 63():244-249. PubMed ID: 31425811
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A radiomics model enables prediction venous sinus invasion in meningioma.
    Wang L; Cao Y; Zhang G; Sun D; Zhou W; Li W; Zhou J; Chen K; Zhang J
    Ann Clin Transl Neurol; 2023 Aug; 10(8):1284-1295. PubMed ID: 37408500
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.