Literature DB >> 19442466

The utility of diffusion-weighted MR imaging in cervical cancer.

Jianyu Chen1, Yun Zhang, Biling Liang, Zehong Yang.   

Abstract

PURPOSE: To investigate the value of diffusion-weighted MR imaging (DWI) in detection of cervical cancer, and to determine the diagnostic accuracy of apparent diffusion coefficient (ADC) values for evaluating cervical cancer before and after chemoradiotherapy.
MATERIALS AND METHODS: Thirty-three patients with cervical squamous carcinoma and 20 patients with other pelvic abnormalities underwent diffusion-weighted imaging (DWI) in addition to routine MR imaging. The ADC values of normal cervical tissue, cervical area before and after chemoradiotherapy were measured and compared. Receiver operating characteristic (ROC) analysis was employed to investigate whether ADC values could help in discrimination among normal cervical tissue, cervical cancer before and after therapy, and to obtain the optimal ADC threshold value.
RESULTS: Cervical cancer lesion demonstrated obviously hyperintensity on DWI images. The mean ADC value of cervical carcinoma (1.110+/-0.175 x 10(-3)mm(2)/s) was significantly lower than that of normal cervical tissue (1.593+/-0.151 x 10(-3)mm(2)/s) (P<0.001). The mean ADC value of the cervical area in 22 patients treated by chemoradiotherapy (1.436+/-0.129 x 10(-3)mm(2)/s) was significantly higher than that before therapy (1.013+/-0.094 x 10(-3)mm(2)/s) (P<0.001). The difference of ADC values between normal cervical tissue and cervical area after therapy was statistically significant (P<0.01). The optimal ADC threshold values for distinguishing between normal cervical tissue and cervical carcinoma was 1.359 x 10(-3)mm(2)/s, between cervical area before and after therapy was 1.255 x 10(-3)mm(2)/s, between normal cervical tissue and cervical area after therapy was 1.525 x 10(-3)mm(2)/s. The sensitivity and specificity were 100% and 84.8%, 95.5% and 100%, 70% and 81.8%, respectively.
CONCLUSION: DWI can be applied for the detection of cervical cancer because of its superior disease contrast with normal tissue. The measurement of the ADC values can be a useful tool to monitor the response to therapy for cervical carcinoma. Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19442466     DOI: 10.1016/j.ejrad.2009.04.025

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  39 in total

1.  Volume Measurement by Diffusion-Weighted Imaging in Cervical Cancer.

Authors:  Shinya Fujii; Naoki Iwata; Chie Inoue; Naoko Mukuda; Takeru Fukunaga; Toshihide Ogawa
Journal:  Yonago Acta Med       Date:  2017-06-26       Impact factor: 1.641

2.  An analysis of apparent diffusion coefficient in the myometrium of normal uterus between the menopausal and premenopausal phases.

Authors:  Bo Chen; Zhibo Xiao; Furong Lv; Fajin Lv; Bo Sheng; Xiaolin Shi
Journal:  Jpn J Radiol       Date:  2015-06-03       Impact factor: 2.374

3.  Diffusion-weighted MR imaging of normal and abnormal scrotum: preliminary results.

Authors:  Athina C Tsili; Maria I Argyropoulou; Dimitrios Giannakis; Stavros Tsampalas; Nikolaos Sofikitis; Konstantinos Tsampoulas
Journal:  Asian J Androl       Date:  2012-02-27       Impact factor: 3.285

4.  MRI anatomy of parametrial extension to better identify local pathways of disease spread in cervical cancer.

Authors:  Anna Lia Valentini; Benedetta Gui; Maura Miccò; Michela Giuliani; Elena Rodolfino; Valeria Ninivaggi; Marta Iacobucci; Marzia Marino; Maria Antonietta Gambacorta; Antonia Carla Testa; Gian Franco Zannoni; Lorenzo Bonomo
Journal:  Diagn Interv Radiol       Date:  2016 Jul-Aug       Impact factor: 2.630

5.  Reduced field-of-view diffusion-weighted MRI in patients with cervical cancer.

Authors:  Jiyoung Hwang; Seong Sook Hong; Hyun-Joo Kim; Yun-Woo Chang; Bo Da Nam; Eunsun Oh; EunJi Lee; Hwajin Cha
Journal:  Br J Radiol       Date:  2018-04-16       Impact factor: 3.039

6.  Volume Delineation in Cervical Cancer With T2 and Diffusion-weighted MRI: Agreement on Volumes Between Observers.

Authors:  Consuelo Rosa; Andrea Delli Pizzi; Antonietta Augurio; Luciana Caravatta; Monica DI Tommaso; Erica Mincuzzi; Sebastiano Cinalli; Raffaella Basilico; Annamaria Porreca; Marta DI Nicola; Domenico Genovesi
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

7.  Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy.

Authors:  Stephen R Bowen; William T C Yuh; Daniel S Hippe; Wei Wu; Savannah C Partridge; Saba Elias; Guang Jia; Zhibin Huang; George A Sandison; Dennis Nelson; Michael V Knopp; Simon S Lo; Paul E Kinahan; Nina A Mayr
Journal:  J Magn Reson Imaging       Date:  2017-10-16       Impact factor: 4.813

8.  Optimization of MR imaging for pretreatment evaluation of patients with endometrial and cervical cancer.

Authors:  Gaiane M Rauch; Harmeet Kaur; Haesun Choi; Randy D Ernst; Ann H Klopp; Piyaporn Boonsirikamchai; Shannon N Westin; Leonardo P Marcal
Journal:  Radiographics       Date:  2014 Jul-Aug       Impact factor: 5.333

Review 9.  Diffusion weighted imaging in gynecological malignancies - present and future.

Authors:  Dinesh Manoharan; Chandan J Das; Ankita Aggarwal; Arun K Gupta
Journal:  World J Radiol       Date:  2016-03-28

10.  The value of apparent diffusion coefficient in the assessment of cervical cancer.

Authors:  Fei Kuang; Jing Ren; Qun Zhong; Fu Liyuan; Yi Huan; Ziqian Chen
Journal:  Eur Radiol       Date:  2012-11-18       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.