BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 37552657)

  • 1. Radiomic signatures of meningiomas using the Ki-67 proliferation index as a prognostic marker of clinical outcomes.
    Khanna O; Fathi Kazerooni A; Arif S; Mahtabfar A; Momin AA; Andrews CE; Hafazalla K; Baldassari MP; Velagapudi L; Garcia JA; Sako C; Farrell CJ; Evans JJ; Judy KD; Andrews DW; Flanders AE; Shi W; Davatzikos C
    Neurosurg Focus; 2023 Jun; 54(6):E17. PubMed ID: 37552657
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas.
    Khanna O; Fathi Kazerooni A; Farrell CJ; Baldassari MP; Alexander TD; Karsy M; Greenberger BA; Garcia JA; Sako C; Evans JJ; Judy KD; Andrews DW; Flanders AE; Sharan AD; Dicker AP; Shi W; Davatzikos C
    Neurosurgery; 2021 Oct; 89(5):928-936. PubMed ID: 34460921
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI.
    Hu J; Zhao Y; Li M; Liu J; Wang F; Weng Q; Wang X; Cao D
    Eur J Radiol; 2020 Oct; 131():109251. PubMed ID: 32916409
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.
    Park YW; Oh J; You SC; Han K; Ahn SS; Choi YS; Chang JH; Kim SH; Lee SK
    Eur Radiol; 2019 Aug; 29(8):4068-4076. PubMed ID: 30443758
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers.
    Cepeda S; Arrese I; García-García S; Velasco-Casares M; Escudero-Caro T; Zamora T; Sarabia R
    World Neurosurg; 2021 Feb; 146():e1147-e1159. PubMed ID: 33259973
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiomic features of magnetic resonance images as novel preoperative predictive factors of bone invasion in meningiomas.
    Zhang J; Sun J; Han T; Zhao Z; Cao Y; Zhang G; Zhou J
    Eur J Radiol; 2020 Nov; 132():109287. PubMed ID: 32980725
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Progesterone Receptor Is Responsible for Benign Biology of Skull Base Meningioma.
    Kuroi Y; Matsumoto K; Shibuya M; Kasuya H
    World Neurosurg; 2018 Oct; 118():e918-e924. PubMed ID: 30031954
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Histopathological prognostic factors of recurrence following definitive therapy for atypical and malignant meningiomas.
    Kim D; Niemierko A; Hwang WL; Stemmer-Rachamimov AO; Curry WT; Barker FG; Martuza RL; Oh KS; Loeffler JS; Shih HA
    J Neurosurg; 2018 Apr; 128(4):1123-1132. PubMed ID: 28621619
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Correlation of apparent diffusion coefficient with Ki-67 proliferation index in grading meningioma.
    Tang Y; Dundamadappa SK; Thangasamy S; Flood T; Moser R; Smith T; Cauley K; Takhtani D
    AJR Am J Roentgenol; 2014 Jun; 202(6):1303-8. PubMed ID: 24848829
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Association of apparent diffusion coefficient with Ki-67 proliferation index, progesterone-receptor status and various histopathological parameters, and its utility in predicting the high grade in meningiomas.
    Bozdağ M; Er A; Ekmekçi S
    Acta Radiol; 2021 Mar; 62(3):401-413. PubMed ID: 32397733
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DNA topoisomerase II-alpha and cyclin A immunoexpression in meningiomas and its prognostic significance: an analysis of 263 cases.
    Korshunov A; Shishkina L; Golanov A
    Arch Pathol Lab Med; 2002 Sep; 126(9):1079-86. PubMed ID: 12204057
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.