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      The value of advanced MRI techniques in the assessment of cervical cancer: a review

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          Abstract

          Objectives

          To assess the value of new magnetic resonance imaging (MRI) techniques in cervical cancer.

          Methods

          We searched PubMed and MEDLINE and reviewed articles published from 1990 to 2016 to identify studies that used MRI techniques, such as diffusion weighted imaging (DWI), intravoxel incoherent motion (IVIM) and dynamic contrast enhancement (DCE) MRI, to assess parametric invasion, to detect lymph node metastases, tumour subtype and grading, and to detect and predict tumour recurrence.

          Results

          Seventy-nine studies were included. The additional use of DWI improved the accuracy and sensitivity of the evaluation of parametrial extension. Most studies reported improved detection of nodal metastases. Functional MRI techniques have the potential to assess tumour subtypes and tumour grade differentiation, and they showed additional value in detecting and predicting treatment response. Limitations included a lack of technical standardisation, which limits reproducibility.

          Conclusions

          New advanced MRI techniques allow improved analysis of tumour biology and the tumour microenvironment. They can improve TNM staging and show promise for tumour classification and for assessing the risk of tumour recurrence. They may be helpful for developing optimised and personalised therapy for patients with cervical cancer.

          Teaching points

          • Conventional MRI plays a key role in the evaluation of cervical cancer.

          • DWI improves tumour delineation and detection of nodal metastases in cervical cancer.

          • Advanced MRI techniques show promise regarding histological grading and subtype differentiation.

          • Tumour ADC is a potential biomarker for response to treatment.

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          Most cited references136

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          Revised FIGO staging for carcinoma of the vulva, cervix, and endometrium.

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            Basic principles of diffusion-weighted imaging.

            In diffusion-weighted MRI (DWI), image contrast is determined by the random microscopic motion of water protons. During the last years, DWI has become an important modality in the diagnostic work-up of acute ischemia in the CNS. There are also a few promising reports about the application of DWI to other regions in the human body, such as the vertebral column or the abdomen. This manuscript provides an introduction into the basics of DWI and Diffusion Tensor imaging. The potential of various MR sequences in concert with diffusion preparation are discussed with respect to acquisition speed, spatial resolution, and sensitivity to bulk physiologic motion. More advanced diffusion measurement techniques, such as high angular resolution diffusion imaging, are also addressed. Copyright 2002 Elsevier Science Ireland, Ltd.
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              Diagnostic performance of computer tomography, magnetic resonance imaging, and positron emission tomography or positron emission tomography/computer tomography for detection of metastatic lymph nodes in patients with cervical cancer: meta-analysis.

              We performed a meta-analysis to compare diagnostic performances of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET or PET/CT), for detection of metastatic lymph nodes in patients with cervical cancer. We searched MEDLINE (PubMed), EMBASE and the Cochrane Review database in December 2007. All articles were independently reviewed and selected by three evaluators. We estimated a summary receiver operating characteristic (sROC) curve. The area under the curve (AUC), Q*, and pooled weighted estimates of sensitivity and specificity for each modality by patient-based and region- or node-based data analyses and conducted pair-wise comparisons between modalities using the two-sample Z-test. Forty-one of 768 initially identified studies were included in the meta-analysis. In a patient-based data analysis, PET or PET/CT showed the highest pooled sensitivity (82%) and specificity (95%), while CT showed 50% and 92%; and MRI, 56% and 91%, respectively. The AUC (0.9641) and Q* (0.9106) of PET or PET/CT were significantly higher than those of MRI (AUC = 0.8270; Q* = 0.7599), both P < 0.001. In region- or node-based data analysis, sensitivities of CT (52%) and PET or PET/CT (54%) were higher than that of MRI (38%), P < 0.02 and P < 0.001, respectively, while specificities of MRI (97%) and PET or PET/CT (97%) were higher than that of CT (92%), both P < 0.001. The AUC and Q* showed no significant difference among CT, MRI, and PET or PET/CT. PET or PET/CT had an overall higher diagnostic performance than did CT or MRI in detecting metastatic lymph nodes in patients with cervical cancer.
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                Author and article information

                Contributors
                +49 6131 17 2019 , evelyn.dappa@unimedizin-mainz.de
                Journal
                Insights Imaging
                Insights Imaging
                Insights into Imaging
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1869-4101
                21 August 2017
                21 August 2017
                October 2017
                : 8
                : 5
                : 471-481
                Affiliations
                [1 ]ISNI 0000 0001 1941 7111, GRID grid.5802.f, Department of Diagnostic and Interventional Radiology, , Johannes Gutenberg-University Medical Centre, ; Langenbeckstr. 1, 55131 Mainz, Germany
                [2 ]ISNI 0000 0001 1941 7111, GRID grid.5802.f, Department of Gynaecology and Obstetrics, , Johannes Gutenberg-University Medical Centre, ; Langenbeckstr. 1, 55131 Mainz, Germany
                Article
                567
                10.1007/s13244-017-0567-0
                5621992
                28828723
                f24f38ac-a053-4f37-9102-7d9fb71e5db6
                © The Author(s) 2017

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 1 May 2017
                : 18 July 2017
                : 18 July 2017
                Categories
                Review
                Custom metadata
                © The Author(s) 2017

                Radiology & Imaging
                cervical cancer,dce,dwi,ivim,mri
                Radiology & Imaging
                cervical cancer, dce, dwi, ivim, mri

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