Literature DB >> 16697034

The diagnostic accuracy of magnetic resonance imaging in detecting cervical involvement in endometrial cancer.

Hans Nagar1, Stephen Dobbs, H Raymond McClelland, John Price, W Glenn McCluggage, Arthur Grey.   

Abstract

OBJECTIVES: The objective of this study was to determine the diagnostic accuracy of magnetic resonance imaging (MRI) in detecting cervical involvement by endometrial cancer.
METHODS: A retrospective accuracy study of 135 consecutive women who underwent preoperative MRI and surgery for endometrial cancer at a single gynaecological cancer centre between 1st February 2003 and 30th November 2004.
RESULTS: For the detection of any cervical involvement by MRI, the sensitivity was 72%, specificity 93.2%, positive predictive value (PPV) 89.8%, negative predictive value (NPV) 80.2%, positive likelihood ratio (+LR) 10.7 and negative likelihood ratio (-LR) 0.3. When cervical stromal invasion was considered alone, the sensitivity was 84.4%, specificity 87.4%, PPV 67.5%, NPV 94.7%, +LR 6.7 and -LR 0.18.
CONCLUSION: We believe that MRI is able to accurately predict cervical involvement in endometrial cancer and allows a decision to be made on the type of hysterectomy to be offered.

Entities:  

Mesh:

Year:  2006        PMID: 16697034     DOI: 10.1016/j.ygyno.2006.03.016

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  7 in total

1.  Endometrial cancer with cervical stromal invasion: diagnostic accuracy of diffusion-weighted and dynamic contrast enhanced MR imaging at 3T.

Authors:  Gigin Lin; Yu-Ting Huang; Angel Chao; Yu-Chun Lin; Lan-Yan Yang; Ren-Chin Wu; Hsin-Ying Lu; Shu-Hang Ng; Koon-Kwan Ng; Chyong-Huey Lai
Journal:  Eur Radiol       Date:  2016-09-09       Impact factor: 5.315

2.  Limited utility of magnetic resonance imaging in determining the primary site of disease in patients with inconclusive endometrial biopsy.

Authors:  Pedro T Ramirez; Michael Frumovitz; Michael R Milam; Michael Deavers; Ricardo dos Reis; Revathy B Iyer; Priya Bhosale; Kathleen M Schmeler
Journal:  Int J Gynecol Cancer       Date:  2010-11       Impact factor: 3.437

3.  Endometrial Carcinoma: Texture Analysis of Apparent Diffusion Coefficient Maps and Its Correlation with Histopathologic Findings and Prognosis.

Authors:  Ichiro Yamada; Naoyuki Miyasaka; Daisuke Kobayashi; Kimio Wakana; Noriko Oshima; Akira Wakabayashi; Junichiro Sakamoto; Yukihisa Saida; Ukihide Tateishi; Yoshinobu Eishi
Journal:  Radiol Imaging Cancer       Date:  2019-11-29

4.  Utility of tumor marker HE4 as prognostic factor in endometrial cancer: a single-center controlled study.

Authors:  Stella Capriglione; Francesco Plotti; Andrea Miranda; Roberto Ricciardi; Giuseppe Scaletta; Alessia Aloisi; Federica Guzzo; Roberto Montera; Roberto Angioli
Journal:  Tumour Biol       Date:  2015-01-11

5.  Magnetic resonance imaging for detection of depth of myometrial invasion and cervical invasion in patients with endometrial carcinoma.

Authors:  Xiang-Hua Yin; Hong-Yan Jia; Min Shi; Huan Wu; Yun-Mo Li
Journal:  Int J Clin Exp Med       Date:  2015-10-15

6.  Diagnostic Accuracy of MRI for Detecting Cervical Invasion in Patients with Endometrial Carcinoma: A Meta-Analysis.

Authors:  Qiu Bi; Guoli Bi; Junna Wang; Jie Zhang; Hongliang Li; Xiarong Gong; Lixiang Ren; Kunhua Wu
Journal:  J Cancer       Date:  2021-01-01       Impact factor: 4.207

7.  Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas.

Authors:  Chia-Ying Wu; Yi-Jou Tai; I-Lun Shih; Ying-Cheng Chiang; Yu-Li Chen; Heng-Cheng Hsu; Wen-Fang Cheng
Journal:  Cancer Med       Date:  2021-12-30       Impact factor: 4.452

  7 in total

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