Literature DB >> 1287735

Uterine leiomyoma: correlation between signal intensity on magnetic resonance imaging and pathologic characteristics.

T T Swe1, H Onitsuka, K Kawamoto, T Ueyama, N Tsuruchi, K Masuda.   

Abstract

To correlate the signal intensity of uterine leiomyoma with its pathologic characteristics, with particular emphasis on the fibrous component, 33 magnetic resonance (MR) examinations that revealed 93 leiomyomas were prospectively studied. All patients were imaged in axial and sagittal planes with different spin-echo pulse sequences to obtain T1-, T2-weighted, and proton density images. Nondegenerative leiomyomas (n = 62) showing a homogeneous signal of low intensity, and degenerative leiomyomas (n = 31) with a heterogeneous signal of variable intensity on T2-weighted images could be correlated. Histopathological assessment of fiber constitution and degeneration, and MR intensity were interpreted by independent observers. There was excellent accord between the averages for MR intensity, T2 relaxation time and fiber content, although the intensity values in each fiber grade showed a wide range. The greater the fiber content the lower the MR intensity on T2-weighted images, and the shorter the T2 relaxation time (p < 0.0001). In addition, the manner in which fiber distribution affected MR appearance was also elucidated. These data contribute guidelines for precise tissue differentiation of myogenic tumors on MR images, and for MR imaging tissue diagnosis of any lesion with a considerable fibrous element.

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Mesh:

Year:  1992        PMID: 1287735

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  8 in total

1.  Portable ultrasound-guided high-intensity focused ultrasound with functions for safe and rapid ablation: prospective clinical trial for uterine fibroids-short-term and long-term results.

Authors:  Jae Young Lee; Hyun Hoon Chung; Soo Yeon Kang; Eun-Joo Park; Dong Hyuk Park; Keonho Son; Joon Koo Han
Journal:  Eur Radiol       Date:  2019-11-08       Impact factor: 5.315

2.  Uterine leiomyomas: MR imaging-guided focused ultrasound surgery--imaging predictors of success.

Authors:  Zsuzsanna M Lénárd; Nathan J McDannold; Fiona M Fennessy; Elizabeth A Stewart; Ferenc A Jolesz; Kullervo Hynynen; Clare M C Tempany
Journal:  Radiology       Date:  2008-08-11       Impact factor: 11.105

3.  Huge uterine leiomyoma with adenomyotic cysts mimicking uterine sarcoma on MR imaging.

Authors:  Tsuneo Yamashiro; Masaki Gibo; Takashi Utsunomiya; Sadayuki Murayama
Journal:  Radiat Med       Date:  2007-04-27

4.  Feasibility study on energy prediction of microwave ablation upon uterine adenomyosis and leiomyomas by MRI.

Authors:  M Xia; Z Jing; H Zhi-Yu; C Jian-Ming; Z Hong-Yu; X Rui-Fang; Y Yu; H Yan-Li; D Bao-Wei
Journal:  Br J Radiol       Date:  2014-06-20       Impact factor: 3.039

5.  Scaled signal intensity of uterine fibroids based on T2-weighted MR images: a potential objective method to determine the suitability for magnetic resonance-guided focused ultrasound surgery of uterine fibroids.

Authors:  Hyun Park; Sang-Wook Yoon; Amit Sokolov
Journal:  Eur Radiol       Date:  2015-05-09       Impact factor: 5.315

6.  Uterine artery embolization for symptomatic fibroids with high signal intensity on T2-weighted MR imaging.

Authors:  Suyon Chang; Man-Deuk Kim; Myungsu Lee; Mu Sook Lee; Sung Il Park; Jong Yun Won; Do Yun Lee; Kwang Hun Lee
Journal:  Korean J Radiol       Date:  2012-08-28       Impact factor: 3.500

7.  Research of dose-effect relationship parameters of percutaneous microwave ablation for uterine leiomyomas--a quantitative study.

Authors:  Ma Xia; Zhang Jing; Han Zhi-yu; Yang Yu; Hao Yan-li; Xu Chang-tao; Xu Rui-fang; Zhang Bing-song; Dong Bao-wei
Journal:  Sci Rep       Date:  2014-09-30       Impact factor: 4.379

8.  Magnetic Resonance-Guided High-Intensity Focused Ultrasound Ablation of Uterine Fibroids-Efficiency Assessment with the Use of Dynamic Contrast-Enhanced Magnetic Resonance Imaging and the Potential Role of the Administration of Uterotonic Drugs.

Authors:  Tomasz Łoziński; Michał Ciebiera; Elżbieta Łuczyńska; Justyna Filipowska; Artur Czekierdowski
Journal:  Diagnostics (Basel)       Date:  2021-04-16
  8 in total

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