Literature DB >> 15050230

MRI of gynecological neoplasm.

Margaret H Pui1, Qiu Yan Wang, Bin Xu, Guo Ping Fan.   

Abstract

MRI is multiplanar, has large field of view, superior contrast resolution and no known adverse effect on the reproductive potential of ovaries. It is useful for characterizing solid, cystic or necrotic tissue, blood and fat. Contrast-enhanced MRI is also a comprehensive examination of the entire pelvis including lymph nodes, peritoneum, pelvic sidewalls, bone and muscles. It provides information about areas difficult to assess surgically, can refine staging classification, assists in planning surgery or radiotherapy and may be more cost-effective by limiting use of surgery. This is a pictorial essay of MRI assessment of female pelvic neoplasm.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15050230     DOI: 10.1016/S0899-7071(03)00116-5

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  4 in total

1.  Diagnostic performance of fluorodeoxyglucose positron emission tomography/magnetic resonance imaging fusion images of gynecological malignant tumors: comparison with positron emission tomography/computed tomography.

Authors:  Kazuya Nakajo; Mitsuaki Tatsumi; Atsuo Inoue; Kayako Isohashi; Ichiro Higuchi; Hiroki Kato; Masao Imaizumi; Takayuki Enomoto; Eku Shimosegawa; Tadashi Kimura; Jun Hatazawa
Journal:  Jpn J Radiol       Date:  2010-02-26       Impact factor: 2.374

2.  Anatomical and functional volume concordance between FDG PET, and T2 and diffusion-weighted MRI for cervical cancer: a hybrid PET/MR study.

Authors:  Hongzan Sun; Jun Xin; Shaomin Zhang; Qiyong Guo; Yueyue Lu; Wei Zhai; Long Zhao; Weiai Peng; Baijun Wang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-01-25       Impact factor: 9.236

Review 3.  Diagnostic role of 18F-FDG PET/MRI in patients with gynecological malignancies of the pelvis: A systematic review and meta-analysis.

Authors:  Ji Nie; Jing Zhang; Jinsheng Gao; Linghong Guo; Hui Zhou; Yuanyuan Hu; Chenjing Zhu; Qingfang Li; Xuelei Ma
Journal:  PLoS One       Date:  2017-05-08       Impact factor: 3.240

4.  Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.

Authors:  Tomofumi Misaka; Nobuyuki Asato; Yukihiko Ono; Yukino Ota; Takuma Kobayashi; Kensuke Umehara; Junko Ota; Masanobu Uemura; Ryuichiro Ashikaga; Takayuki Ishida
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.