BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 37907955)

  • 1. A computer-aided determining method for the myometrial infiltration depth of early endometrial cancer on MRI images.
    Xiong L; Chen C; Lin Y; Mao W; Song Z
    Biomed Eng Online; 2023 Oct; 22(1):103. PubMed ID: 37907955
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institution.
    Chen X; Wang Y; Shen M; Yang B; Zhou Q; Yi Y; Liu W; Zhang G; Yang G; Zhang H
    Eur Radiol; 2020 Sep; 30(9):4985-4994. PubMed ID: 32337640
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A deep learning-based automatic staging method for early endometrial cancer on MRI images.
    Mao W; Chen C; Gao H; Xiong L; Lin Y
    Front Physiol; 2022; 13():974245. PubMed ID: 36111158
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multiparametric magnetic resonance imaging-based assessment of the effect of adenomyosis on determining the depth of myometrial invasion in endometrial cancer.
    Meng X; Liu M; Yang D; Jin H; Liu Y; Xu H; Liang Y; Wang Z; Wang L; Yang Z
    Quant Imaging Med Surg; 2024 May; 14(5):3717-3730. PubMed ID: 38720853
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer.
    Lefebvre TL; Ueno Y; Dohan A; Chatterjee A; Vallières M; Winter-Reinhold E; Saif S; Levesque IR; Zeng XZ; Forghani R; Seuntjens J; Soyer P; Savadjiev P; Reinhold C
    Radiology; 2022 Nov; 305(2):375-386. PubMed ID: 35819326
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [The value of T2 mapping for evaluating the pathological type, grade and depth of myometrial invasion in endometrial carcinoma].
    Li SJ; Zhang ZX; Liu J; Wang WJ; Wang J; Zhang Y; Cheng JL
    Zhonghua Zhong Liu Za Zhi; 2023 Aug; 45(8):673-680. PubMed ID: 37580272
    [No Abstract]   [Full Text] [Related]  

  • 7. Preoperative Magnetic Resonance Volumetry in Predicting Myometrial Invasion, Lymphovascular Space Invasion, and Tumor Grade: Is It Valuable in International Federation of Gynecology and Obstetrics Stage I Endometrial Cancer?
    Sahin H; Sarioglu FC; Bagci M; Karadeniz T; Uluer H; Sanci M
    Int J Gynecol Cancer; 2018 May; 28(4):666-674. PubMed ID: 29697491
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting myometrial invasion in endometrial cancer based on whole-uterine magnetic resonance radiomics.
    Han Y; Xu H; Ming Y; Liu Q; Huang C; Xu J; Zhang J; Li Y
    J Cancer Res Ther; 2020; 16(7):1648-1655. PubMed ID: 33565512
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Preoperative Assessment of MRI-Invisible Early-Stage Endometrial Cancer With MRI-Based Radiomics Analysis.
    Jiang X; Song J; Zhang A; Cheng W; Duan S; Liu X; Chen T
    J Magn Reson Imaging; 2023 Jul; 58(1):247-255. PubMed ID: 36259352
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings.
    Zhang L; Long X; Nijiati M; Zhang T; Li M; Deng Y; Kuang S; Xiao Y; Zhu J; He B; Chen J; Rossman P; Glaser KJ; Venkatesh SK; Ehman RL; Wang J
    Cancer Imaging; 2021 Aug; 21(1):50. PubMed ID: 34454623
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Value of magnetic resonance imaging in preoperative staging of endometrial carcinoma according to International Federation of Gynecology and Obstetrics (2009) staging criteria].
    Du L; Lei Y; Li D; Qiu X; Liang B
    Nan Fang Yi Ke Da Xue Xue Bao; 2012 Jun; 32(7):1048-51. PubMed ID: 22820597
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection of deep myometrial invasion in endometrial cancer MR imaging based on multi-feature fusion and probabilistic support vector machine ensemble.
    Zhu X; Ying J; Yang H; Fu L; Li B; Jiang B
    Comput Biol Med; 2021 Jul; 134():104487. PubMed ID: 34022489
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting histopathology markers of endometrial carcinoma with a quantitative image analysis approach based on spherical harmonics in multiparametric MRI.
    Lefebvre TL; Ciga O; Bhatnagar SR; Ueno Y; Saif S; Winter-Reinhold E; Dohan A; Soyer P; Forghani R; Siddiqi K; Seuntjens J; Reinhold C; Savadjiev P
    Diagn Interv Imaging; 2023 Mar; 104(3):142-152. PubMed ID: 36328942
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MRI-based radiomics nomogram for the preoperative prediction of deep myometrial invasion of FIGO stage I endometrial carcinoma.
    Zhao M; Wen F; Shi J; Song J; Zhao J; Song Q; Lai Q; Luo Y; Yu T; Jiang X; Jiang W; Dong Y
    Med Phys; 2022 Oct; 49(10):6505-6516. PubMed ID: 35758644
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dynamic contrast-enhanced ultrasound improves diagnostic performance in endometrial cancer staging.
    Green RW; Epstein E
    Ultrasound Obstet Gynecol; 2020 Jul; 56(1):96-105. PubMed ID: 31647145
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluating Myometrial Invasion in Endometrial Cancer: Comparison of Reduced Field-of-view Diffusion-weighted Imaging and Dynamic Contrast-enhanced MR Imaging.
    Takeuchi M; Matsuzaki K; Harada M
    Magn Reson Med Sci; 2018 Jan; 17(1):28-34. PubMed ID: 28515411
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Magnetic resonance imaging pitfalls in determining myometrial invasion in stage I endometrial cancer: A case report and literature review.
    Winarto H; Habiburrahman M; Siregar TP; Nuryanto KH
    Radiol Case Rep; 2022 Aug; 17(8):2680-2688. PubMed ID: 35663819
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Preoperative Assessment of Myometrial Invasion in Endometrial Cancer by 3D Ultrasound and Diffusion-Weighted Magnetic Resonance Imaging: A Comparative Study.
    Rodríguez-Trujillo A; Martínez-Serrano MJ; Martínez-Román S; Martí C; Buñesch L; Nicolau C; Pahisa J
    Int J Gynecol Cancer; 2016 Jul; 26(6):1105-10. PubMed ID: 27177278
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation and Monitoring of Endometrial Cancer Based on Magnetic Resonance Imaging Features of Deep Learning.
    Tao J; Wang Y; Liang Y; Zhang A
    Contrast Media Mol Imaging; 2022; 2022():5198592. PubMed ID: 35360265
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study.
    Dong HC; Dong HK; Yu MH; Lin YH; Chang CC
    Int J Environ Res Public Health; 2020 Aug; 17(16):. PubMed ID: 32824765
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.