BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

704 related articles for article (PubMed ID: 30935419)

  • 1. Investigating the diagnostic value of quantitative parameters based on T2-weighted and contrast-enhanced MRI with psoas muscle and outer myometrium as internal references for differentiating uterine sarcomas from leiomyomas at 3T MRI.
    Malek M; Rahmani M; Seyyed Ebrahimi SM; Tabibian E; Alidoosti A; Rahimifar P; Akhavan S; Gandomkar Z
    Cancer Imaging; 2019 Apr; 19(1):20. PubMed ID: 30935419
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters.
    Malek M; Gity M; Alidoosti A; Oghabian Z; Rahimifar P; Seyed Ebrahimi SM; Tabibian E; Oghabian MA
    Eur J Radiol; 2019 Jan; 110():203-211. PubMed ID: 30599861
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Diagnostic value of 3 T MR spectroscopy, diffusion-weighted MRI, and apparent diffusion coefficient value for distinguishing benign from malignant myometrial tumours.
    Rahimifar P; Hashemi H; Malek M; Ebrahimi S; Tabibian E; Alidoosti A; Mousavi A; Yarandi F
    Clin Radiol; 2019 Jul; 74(7):571.e9-571.e18. PubMed ID: 31010584
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Explorative Investigation of Whole-Lesion Histogram MRI Metrics for Differentiating Uterine Leiomyomas and Leiomyosarcomas.
    Gerges L; Popiolek D; Rosenkrantz AB
    AJR Am J Roentgenol; 2018 May; 210(5):1172-1177. PubMed ID: 29547053
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnostic Algorithm to Differentiate Benign Atypical Leiomyomas from Malignant Uterine Sarcomas with Diffusion-weighted MRI.
    Abdel Wahab C; Jannot AS; Bonaffini PA; Bourillon C; Cornou C; Lefrère-Belda MA; Bats AS; Thomassin-Naggara I; Bellucci A; Reinhold C; Fournier LS
    Radiology; 2020 Nov; 297(2):361-371. PubMed ID: 32930650
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combined use of T2-weighted and diffusion-weighted 3-T MR imaging for differentiating uterine sarcomas from benign leiomyomas.
    Namimoto T; Yamashita Y; Awai K; Nakaura T; Yanaga Y; Hirai T; Saito T; Katabuchi H
    Eur Radiol; 2009 Nov; 19(11):2756-64. PubMed ID: 19504102
    [TBL] [Abstract][Full Text] [Related]  

  • 7. T2 hyperintense myometrial tumors: can MRI features differentiate leiomyomas from leiomyosarcomas?
    Rio G; Lima M; Gil R; Horta M; Cunha TM
    Abdom Radiol (NY); 2019 Oct; 44(10):3388-3397. PubMed ID: 31250178
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of MR Imaging as a Tool to Differentiate between the Major Histological Types of Uterine Sarcomas.
    Sumi A; Terasaki H; Sanada S; Uchida M; Tomioka Y; Kamura T; Yano H; Abe T
    Magn Reson Med Sci; 2015; 14(4):295-304. PubMed ID: 26104072
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Leiomyoma or sarcoma? MRI performance in the differential diagnosis of sonographically suspicious uterine masses.
    Valletta R; Corato V; Lombardo F; Avesani G; Negri G; Steinkasserer M; Tagliaferri T; Bonatti M
    Eur J Radiol; 2024 Jan; 170():111217. PubMed ID: 38042020
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A multiparametric MRI-based machine learning to distinguish between uterine sarcoma and benign leiomyoma: comparison with
    Nakagawa M; Nakaura T; Namimoto T; Iyama Y; Kidoh M; Hirata K; Nagayama Y; Oda S; Sakamoto F; Shiraishi S; Yamashita Y
    Clin Radiol; 2019 Feb; 74(2):167.e1-167.e7. PubMed ID: 30471748
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The utility of diffusion-weighted MR imaging for differentiating uterine sarcomas from benign leiomyomas.
    Tamai K; Koyama T; Saga T; Morisawa N; Fujimoto K; Mikami Y; Togashi K
    Eur Radiol; 2008 Apr; 18(4):723-30. PubMed ID: 17929022
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Preoperative diagnosis of atypical pelvic leiomyoma and sarcoma: the potential role of diffusion-weighted imaging.
    Valdes-Devesa V; Jimenez MDM; Sanz-Rosa D; Espada Vaquero M; Alvarez Moreno E; Sainz de la Cuesta Abbad R
    J Obstet Gynaecol; 2019 Jan; 39(1):98-104. PubMed ID: 30207503
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Uterine Artery Embolization of Uterine Leiomyomas: Predictive MRI Features of Volumetric Response.
    Kurban LAS; Metwally H; Abdullah M; Kerban A; Oulhaj A; Alkoteesh JA
    AJR Am J Roentgenol; 2021 Apr; 216(4):967-974. PubMed ID: 33594913
    [No Abstract]   [Full Text] [Related]  

  • 14. Diagnostic accuracy of MRI in the differential diagnosis between uterine leiomyomas and sarcomas: A systematic review and meta-analysis.
    Raffone A; Raimondo D; Neola D; Travaglino A; Giorgi M; Lazzeri L; De Laurentiis F; Carravetta C; Zupi E; Seracchioli R; Casadio P; Guida M
    Int J Gynaecol Obstet; 2024 Apr; 165(1):22-33. PubMed ID: 37732472
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Differentiating Uterine Sarcoma From Atypical Leiomyoma on Preoperative Magnetic Resonance Imaging Using Logistic Regression Classifier: Added Value of Diffusion-Weighted Imaging-Based Quantitative Parameters.
    Kim H; Rha SE; Shin YR; Kim EH; Park SY; Lee SL; Lee A; Kim MR
    Korean J Radiol; 2024 Jan; 25(1):43-54. PubMed ID: 38184768
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of the diagnostic accuracy of contrast-enhanced MRI and diffusion-weighted MRI in the differentiation between uterine leiomyosarcoma / smooth muscle tumor with uncertain malignant potential and benign leiomyoma.
    Lin G; Yang LY; Huang YT; Ng KK; Ng SH; Ueng SH; Chao A; Yen TC; Chang TC; Lai CH
    J Magn Reson Imaging; 2016 Feb; 43(2):333-42. PubMed ID: 26383110
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features.
    Nakagawa M; Nakaura T; Namimoto T; Iyama Y; Kidoh M; Hirata K; Nagayama Y; Yuki H; Oda S; Utsunomiya D; Yamashita Y
    Acad Radiol; 2019 Oct; 26(10):1390-1399. PubMed ID: 30661978
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Value of ultrasonography and magnetic resonance imaging for the characterization of uterine mesenchymal tumors.
    Bonneau C; Thomassin-Naggara I; Dechoux S; Cortez A; Darai E; Rouzier R
    Acta Obstet Gynecol Scand; 2014 Mar; 93(3):261-8. PubMed ID: 24372487
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Uterine sarcoma vs adenocarcinoma: can MRI distinguish between them?
    Hernández Mateo P; Méndez Fernández R; Serrano Tamayo E
    Radiologia; 2016; 58(3):199-206. PubMed ID: 26617259
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method.
    Malek M; Tabibian E; Rahimi Dehgolan M; Rahmani M; Akhavan S; Sheikh Hasani S; Nili F; Hashemi H
    Sci Rep; 2020 May; 10(1):7404. PubMed ID: 32366933
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 36.