160 related articles for article (PubMed ID: 26617259)
1. 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]
2. 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]
3. 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]
4. 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]
5. Clinical utility of susceptibility-weighted MR sequence for the evaluation of uterine sarcomas.
Takeuchi M; Matsuzaki K; Harada M
Clin Imaging; 2019; 53():143-150. PubMed ID: 30340078
[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. 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]
8. The value of clinical parameters combined with magnetic resonance imaging (MRI) features for preoperatively distinguishing different subtypes of uterine sarcomas: An observational study (STROBE compliant).
Bi Q; Wu K; Lv F; Xiao Z; Xiong Y; Shen Y
Medicine (Baltimore); 2020 Apr; 99(16):e19787. PubMed ID: 32311989
[TBL] [Abstract][Full Text] [Related]
9. MRI appearances of uterine malignant mixed müllerian tumors.
Bharwani N; Newland A; Tunariu N; Babar S; Sahdev A; Rockall AG; Reznek RH
AJR Am J Roentgenol; 2010 Nov; 195(5):1268-75. PubMed ID: 20966339
[TBL] [Abstract][Full Text] [Related]
10. MR imaging of uterine sarcomas.
Sahdev A; Sohaib SA; Jacobs I; Shepherd JH; Oram DH; Reznek RH
AJR Am J Roentgenol; 2001 Dec; 177(6):1307-11. PubMed ID: 11717072
[TBL] [Abstract][Full Text] [Related]
11. Uterine sarcomas: clinical presentation and MRI features.
Santos P; Cunha TM
Diagn Interv Radiol; 2015; 21(1):4-9. PubMed ID: 25347940
[TBL] [Abstract][Full Text] [Related]
12. Utility of Clinical Parameters and Multiparametric MRI as Predictive Factors for Differentiating Uterine Sarcoma From Atypical Leiomyoma.
Bi Q; Xiao Z; Lv F; Liu Y; Zou C; Shen Y
Acad Radiol; 2018 Aug; 25(8):993-1002. PubMed ID: 29422425
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Endometrioid adenocarcinoma of the ovary: MRI findings with emphasis on diffusion-weighted imaging for the differentiation of ovarian tumors.
Kovač JD; Terzić M; Mirković M; Banko B; Đikić-Rom A; Maksimović R
Acta Radiol; 2016 Jun; 57(6):758-66. PubMed ID: 26307063
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Carcinosarcoma of the uterus: radiologic-pathologic correlations with magnetic resonance imaging including diffusion-weighted imaging.
Kato H; Kanematsu M; Furui T; Imai A; Hirose Y; Kondo H; Goshima S; Tsuge Y
Magn Reson Imaging; 2008 Dec; 26(10):1446-50. PubMed ID: 18501546
[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. Multiparametric MRI in differentiating pulmonary artery sarcoma and pulmonary thromboembolism: a preliminary experience.
Liu M; Luo C; Wang Y; Guo X; Ma Z; Yang Y; Zhang T
Diagn Interv Radiol; 2017; 23(1):15-21. PubMed ID: 27919861
[TBL] [Abstract][Full Text] [Related]
20. Carcinosarcoma of the uterus: MRI findings including diffusion-weighted imaging and MR spectroscopy.
Takeuchi M; Matsuzaki K; Harada M
Acta Radiol; 2016 Oct; 57(10):1277-84. PubMed ID: 26787673
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
