Literature DB >> 20801592

Diffusion weighted imaging of female pelvic cancers: concepts and clinical applications.

Shonit Punwani1.   

Abstract

Early applications of diffusion weighted magnetic resonance imaging (DWI) were limited to neuroimaging, concentrating either on stroke or brain tumours. With recent advances in MRI hardware and software DWI is now increasingly being investigated for cancer assessment throughout the body. Clinical applications of DWI relating to female pelvic cancers have largely concentrated on detection, localisation and staging of disease. More recently investigators have started to evaluate the ability of DWI for determining tumour histology and even predicting the outcome of chemoradiation treatment. This article reviews the physical concepts of MR diffusion weighting, illustrates the biophysical basis of diffusion contrast and reports the clinical applications of DWI for cervical, endometrial, ovarian, rectal and bladder tumours.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20801592     DOI: 10.1016/j.ejrad.2010.07.028

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


  16 in total

Review 1.  Diagnostic performance of diffusion-weighted MRI for detection of pelvic metastatic lymph nodes in patients with cervical cancer: a systematic review and meta-analysis.

Authors:  G Shen; H Zhou; Z Jia; H Deng
Journal:  Br J Radiol       Date:  2015-05-29       Impact factor: 3.039

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.  PET/MR in oncology: an introduction with focus on MR and future perspectives for hybrid imaging.

Authors:  Svetlana Balyasnikova; Johan Löfgren; Robin de Nijs; Yanna Zamogilnaya; Liselotte Højgaard; Barbara M Fischer
Journal:  Am J Nucl Med Mol Imaging       Date:  2012-10-15

4.  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

5.  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 6.  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

7.  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

Review 8.  Principles and applications of diffusion-weighted imaging in cancer detection, staging, and treatment follow-up.

Authors:  Ashkan A Malayeri; Riham H El Khouli; Atif Zaheer; Michael A Jacobs; Celia P Corona-Villalobos; Ihab R Kamel; Katarzyna J Macura
Journal:  Radiographics       Date:  2011-10       Impact factor: 5.333

9.  Evaluation of primary adnexal masses by 3T MRI: categorization with conventional MR imaging and diffusion-weighted imaging.

Authors:  He Zhang; Guo-Fu Zhang; Zhi-Yan He; Zheng-Yu Li; Ming Zhu; Gui-Xiang Zhang
Journal:  J Ovarian Res       Date:  2012-11-14       Impact factor: 4.234

Review 10.  Diffusion-weighted imaging and dynamic contrast-enhanced MRI in assessing response and recurrent disease in gynaecological malignancies.

Authors:  Ayshea Hameeduddin; Anju Sahdev
Journal:  Cancer Imaging       Date:  2015-03-15       Impact factor: 3.909

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.