Literature DB >> 25046775

Diagnostic efficacy of diffusion-weighted MRI for pre-operative assessment of myometrial and cervical invasion and pelvic lymph node metastasis in endometrial carcinoma.

Mustafa Koplay1, Nasuh Utku Dogan, Hasan Erdogan, Mesut Sivri, Cengiz Erol, Alaaddin Nayman, Pinar Karabagli, Yahya Paksoy, Cetin Celik.   

Abstract

INTRODUCTION: To determine the diagnostic accuracy of diffusion-weighted magnetic resonance imaging (DW-MRI) for the pre-operative assessment of patients with endometrial carcinoma and to assess myometrial and cervical invasion as well as pelvic lymph node metastasis.
METHODS: Fifty-eight women who underwent surgery for histopathologically confirmed endometrial carcinoma were included in the current study. Prior to surgery, patients were evaluated using pelvic DW-MRI and gadolinium-enhanced T1-weighted imaging (Gd-T1WI). Gd-T1WI was evaluated together with T2-weighted images. DW-MR images were obtained in the axial plane using echo-planar spin-echo pulse sequences with different b factors. Endometrial carcinomas were observed as areas of increased intensity on DW-MRI images, and their intensity was compared with the surrounding hypo-intense myometrium. Pre-operative DW-MRI and Gd-T1WI results were compared with post-operative histopathological findings that served as reference standards.
RESULTS: The sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and diagnostic accuracy of DW-MRI for differentiation between superficial myometrial invasion and deep myometrial invasion were 85%, 89%, 81%, 92% and 88%, respectively. The sensitivity, specificity and diagnostic accuracy rates were 82%, 91% and 89.6% for cervical invasion and 100%, 96% and 96.5% for pelvic lymph node metastasis, respectively. The sensitivity, specificity, PPV and NPV, and diagnostic accuracy of Gd-T1WI for differentiation between superficial myometrial invasion and deep myometrial invasion were 85%, 81.5%, 71%, 91% and 83%, respectively. The sensitivity, specificity and diagnostic accuracy were 73%, 89% and 86% for cervical invasion, respectively.
CONCLUSIONS: These findings suggest that DW-MRI may be a good diagnostic tool with high sensitivity and specificity for assessing myometrial invasion and detecting tumour extension. We suggest that DW-MRI should be considered as a routine part of the pre-operative pelvic MRI in all patients with endometrial carcinoma.
© 2014 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  MRI; diffusion-weighted imaging; endometrial carcinoma; staging

Mesh:

Year:  2014        PMID: 25046775     DOI: 10.1111/1754-9485.12209

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  13 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.  Quantitative assessment of diffusion kurtosis imaging depicting deep myometrial invasion: a comparative analysis with diffusion-weighted imaging.

Authors:  Jia-Cheng Song; Shan-Shan Lu; Jing Zhang; Xi-Sheng Liu; Cheng-Yan Luo; Ting Chen
Journal:  Diagn Interv Radiol       Date:  2020-03       Impact factor: 2.630

3.  ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma.

Authors:  Nicole Concin; Carien L Creutzberg; Ignace Vergote; David Cibula; Mansoor Raza Mirza; Simone Marnitz; Jonathan A Ledermann; Tjalling Bosse; Cyrus Chargari; Anna Fagotti; Christina Fotopoulou; Antonio González-Martín; Sigurd F Lax; Domenica Lorusso; Christian Marth; Philippe Morice; Remi A Nout; Dearbhaile E O'Donnell; Denis Querleu; Maria Rosaria Raspollini; Jalid Sehouli; Alina E Sturdza; Alexandra Taylor; Anneke M Westermann; Pauline Wimberger; Nicoletta Colombo; François Planchamp; Xavier Matias-Guiu
Journal:  Virchows Arch       Date:  2021-02       Impact factor: 4.064

4.  Differential diagnosis between metastatic and non-metastatic lymph nodes using DW-MRI: a meta-analysis of diagnostic accuracy studies.

Authors:  Min Zhou; Bin Lu; Gang Lv; Qin Tang; Jibiao Zhu; Jun Li; Kaide Shi
Journal:  J Cancer Res Clin Oncol       Date:  2014-12-17       Impact factor: 4.553

5.  Magnetic resonance imaging pitfalls in determining myometrial invasion in stage I endometrial cancer: A case report and literature review.

Authors:  Hariyono Winarto; Muhammad Habiburrahman; Trifonia Pingkan Siregar; Kartiwa Hadi Nuryanto
Journal:  Radiol Case Rep       Date:  2022-05-29

Review 6.  Endometrial Cancer MRI staging: Updated Guidelines of the European Society of Urogenital Radiology.

Authors:  Stephanie Nougaret; Mariana Horta; Evis Sala; Yulia Lakhman; Isabelle Thomassin-Naggara; Aki Kido; Gabriele Masselli; Nishat Bharwani; Elizabeth Sadowski; Andrea Ertmer; Milagros Otero-Garcia; Rahel A Kubik-Huch; Teresa M Cunha; Andrea Rockall; Rosemarie Forstner
Journal:  Eur Radiol       Date:  2018-07-11       Impact factor: 5.315

Review 7.  Different imaging techniques for the detection of pelvic lymph nodes metastasis from gynecological malignancies: a systematic review and meta-analysis.

Authors:  Yi Gong; Qingming Wang; Li Dong; Yiping Jia; Chengge Hua; Fanglin Mi; Chunjie Li
Journal:  Oncotarget       Date:  2017-02-21

8.  Research into the Value of B-Mode Ultrasound, CT and MRI Examinations in the Diagnosis of Preoperative Myometrial Infiltration of Endometrial Cancer and Lymph Node Metastasis.

Authors:  Ren Lu; Sun Guixia
Journal:  Open Med (Wars)       Date:  2015-12-17

9.  Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer.

Authors:  Xiaojuan Xu; Hailin Li; Siwen Wang; Mengjie Fang; Lianzhen Zhong; Wenwen Fan; Di Dong; Jie Tian; Xinming Zhao
Journal:  Front Oncol       Date:  2019-10-09       Impact factor: 6.244

10.  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

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