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

Overview of attention for article published in Cancer Imaging, March 2015
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Title
Diffusion-weighted imaging and dynamic contrast-enhanced MRI in assessing response and recurrent disease in gynaecological malignancies
Published in
Cancer Imaging, March 2015
DOI 10.1186/s40644-015-0037-1
Pubmed ID
Authors

Ayshea Hameeduddin, Anju Sahdev

Abstract

Magnetic resonance imaging (MRI) has an established role in imaging pelvic gynaecological malignancies. It is routinely used in staging endometrial and cervical cancer, characterizing adnexal masses, selecting optimal treatment, monitoring treatment and detecting recurrent disease. MRI has also been shown to have an excellent performance and an evolving role in surveillance of patients after chemoradiotherapy in cervical cancer, post-trachelectomy, detecting early recurrence and planning exenterative surgery in isolated central recurrences in both cervical and endometrial cancer and in young patients on surveillance for medically managed endometrial cancer. However, conventional MRI still has limitations when the morphological appearance of early recurrent or residual disease overlaps with normal pelvic anatomy or treatment effects in the pelvis. In particular, after chemoradiotherapy for cervical cancer, distinguishing between radiotherapy changes and residual or early recurrent disease within the cervix or the vaginal vault can be challenging on conventional MRI alone. Therefore, there is an emerging need for functional imaging to overcome these limitations. The purpose of this paper is to discuss the emerging functional MRI techniques and their applications in predicting treatment response, detecting residual disease and early recurrent disease to optimize the treatment options available using diffusion-weighted imaging and dynamic contrast enhancement particularly in cervical and endometrial cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Egypt 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Master 11 14%
Student > Postgraduate 7 9%
Student > Bachelor 7 9%
Student > Doctoral Student 5 6%
Other 18 23%
Unknown 17 22%
Readers by discipline Count As %
Medicine and Dentistry 33 43%
Nursing and Health Professions 5 6%
Physics and Astronomy 3 4%
Engineering 3 4%
Agricultural and Biological Sciences 3 4%
Other 8 10%
Unknown 22 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Cancer Imaging
#604
of 674 outputs
Outputs of similar age
#238,387
of 277,375 outputs
Outputs of similar age from Cancer Imaging
#4
of 4 outputs
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