Back to the list
Congress: ECR25
Poster Number: C-11725
Type: Poster: EPOS Radiologist (educational)
Authorblock: M. Takeuchi, K. Matsuzaki, M. Harada; Tokushima/JP
Disclosures:
Mayumi Takeuchi: Nothing to disclose
Kenji Matsuzaki: Nothing to disclose
Masafumi Harada: Nothing to disclose
Keywords: Genital / Reproductive system female, Pelvis, MR, MR-Diffusion/Perfusion, MR-Spectroscopy, Diagnostic procedure, Neoplasia, Tissue characterisation
References
  1. The WHO Classification of Tumours Editorial Board (ed.) WHO Classification of Tumours: Female Genital Tumours, 5th edn. World Health Organization, Lyon, 2020.
  2. Kurman RJ, et al. (eds.) Blaustein's Pathology of the Female Genital Tract, 7th edn. Springer, Cham, 2019.
  3. Munro MG, et al.; FIGO Menstrual Disorders Committee. The two FIGO systems for normal and abnormal uterine bleeding symptoms and classification of causes of abnormal uterine bleeding in the reproductive years: 2018 revisions. Int J Gynaecol Obstet 143:393–408, 2018.
  4. Murase E, et al. Uterine leiomyomas: histopathologic features, MR imaging findings, differential diagnosis, and treatment. Radiographics. 19:1179-97, 1999.
  5. Ueda H, et al. Unusual appearances of uterine leiomyomas: MR imaging findings and their histopathologic backgrounds. Radiographics. 19 Spec No:S131-45, 1999.
  6. Tu W, et al. Smooth Muscle Tumors of the Uterus at MRI: Focus on Leiomyomas and FIGO Classification. Radiographics. 43:e220161, 2023.
  7. Tamai K, et al. The utility of diffusion-weighted MR imaging for differentiating uterine sarcomas from benign leiomyomas. Eur Radiol. 18:723-30, 2008.
  8. Takeuchi M, et al. Hyperintense uterine myometrial masses on T2-weighted magnetic resonance imaging: differentiation with diffusion-weighted magnetic resonance imaging. J Comput Assist Tomogr. 33:834-7, 2009.
  9. Yamashita Y, et al. Hyperintense uterine leiomyoma at T2-weighted MR imaging: differentiation with dynamic enhanced MR imaging and clinical implications. Radiology. 189:721-5, 1993.
  10. Cruz M, et al. Myxoid leiomyoma of the uterus: CT and MRI features. Abdom Imaging. 26:98-101, 2001.
  11. Kawakami S, et al. Red degeneration of uterine leiomyoma: MR appearance. J Comput Assist Tomogr. 18:925-8, 1994.
  12. Nakai G, et al. Pathological findings of uterine tumors preoperatively diagnosed as red degeneration of leiomyoma by MRI. Abdom Radiol. 42:1825-1831, 2017.
  13. Takeuchi M, et al. Evaluation of Red Degeneration of Uterine Leiomyoma with Susceptibility-weighted MR Imaging. Magn Reson Med Sci. 18:158-162, 2019.
  14. Smith CC, et al. Cotyledonoid dissecting leiomyoma of the uterus: a review of clinical, pathological, and radiological features. Int J Surg Pathol. 20:330-41. 2012.
  15. Takeuchi M, et al. Adenomyosis: usual and unusual imaging manifestations, pitfalls, and problem-solving MR imaging techniques. Radiographics. 31:99-115, 2011.
  16. Kataoka ML, et al. MRI of adenomyotic cyst of the uterus. J Comput Assist Tomogr. 22:555-9, 1998.
  17. Togashi K, et al. Sustained uterine contractions: a cause of hypointense myometrial bulging. Radiology. 187:707-10, 1993.
  18. Takeuchi M, et al. Manifestations of the female reproductive organs on MR images: changes induced by various physiologic states. Radiographics. 30:1147, 2010.
  19. Takeuchi M, et al. MR manifestations of uterine polypoid adenomyoma. Abdom Imaging. 40:480-7, 2015.
  20. Takeuchi M, et al. MR Imaging Findings of Uterine Adenomatoid Tumors. Magn Reson Med Sci. 24. Online ahead of print. 2023.
  21. Tirumani SH, et al. Imaging features of primary and metastatic malignant perivascular epithelioid cell tumors. AJR. 202:252-8, 2014.
  22. Maruyama S, et al. Diffusion-Weighted MRI and FDG-PET in Diagnosis of Endometrial Stromal Nodule. Case Rep Obstet Gynecol. 2015;540283, 2015.
  23. Furukawa, R. et al. Endometrial stromal sarcoma located in the myometrium with a low-intensity rim on T2-weighted images: Report of three cases and literature review. J. Magnet. Resonan. Imaging 31, 975-979, 2010.
  24. Tanaka YO, et al. Smooth muscle tumors of uncertain malignant potential and leiomyosarcomas of the uterus: MR findings. J Magn Reson Imaging. 20:998-1007, 2004.
  25. Lakhman Y, et al. Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis. Eur Radiol. 27:2903-2915, 2017.
  26. Thomassin-Naggara I, et al. How to differentiate benign from malignant myometrial tumours using MR imaging. Eur Radiol. 23:2306-14, 2013.
  27. Hindman N, et al. MRI Evaluation of Uterine Masses for Risk of Leiomyosarcoma: A Consensus Statement. Radiology 306:e211658, 2023.
  28. Takeuchi M, et al. Clinical utility of susceptibility-weighted MR sequence for the evaluation of uterine sarcomas. Clin Imaging. 53:143-150, 2019.
  29. Takeuchi M, et al. Preliminary observations and clinical value of lipid peak in high-grade uterine sarcomas using in vivo proton MR spectroscopy. Eur Radiol. 23:2358-63, 2013.
  30. Blackledge MD, et al. Computed diffusion-weighted MR imaging may improve tumor detection. Radiology 261:573-81, 2011.
GALLERY