Literature DB >> 21509857

Interest of diffusion-weighted echo-planar MR imaging and apparent diffusion coefficient mapping in gynecological malignancies: a review.

Antonin Levy1, Aïcha Medjhoul, Caroline Caramella, Elise Zareski, Oscar Berges, Cyrus Chargari, Bérénice Boulet, François Bidault, Clarisse Dromain, Corinne Balleyguier.   

Abstract

Magnetic resonance imaging (MRI) remains the standard modality for the local staging of gynecological malignancies but it has several limitations, particularly for lymph node staging or evaluating peritoneal carcinomatosis. Consequently, there has been a growing interest in functional imaging modalities. Based on molecular diffusion, diffusion-weighted imaging (DWI) is a unique, noninvasive modality that provides excellent tissue contrast and was shown to improve the radiological diagnosis of malignant tumors. Using quantitative apparent diffusion coefficient (ADC) measurement of DWI provides a new tool for better distinguishing malignant tissues from benign tumors. The aim of the present review is to report on the results of DWI for the assessment of patients with gynecological malignancies. An analysis of the literature suggests that DWI studies would improve the diagnosis of cervical and endometrial tumors. It may also improve the assessment of tumor extension in patients with peritoneal carcinomatosis from gynecological malignancies. However, since the signal intensity of some cancers can range from high intensity to low intensity, a degree of uncertainty was demonstrated due to the proximity of the normal uterine myometrium and ovaries. Interestingly, there is also evidence that ADC might improve the follow-up and monitoring of patients who receive anticancer therapies, including chemotherapy or radiation therapy.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21509857     DOI: 10.1002/jmri.22546

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  23 in total

1.  Outcome of Bowel Resection in Women with Advanced Ovarian Carcinoma.

Authors:  Ajit Sebastian; Anitha Thomas; Gigi Varghese; Bijesh Yadav; Rachel Chandy; Abraham Peedicayil
Journal:  Indian J Surg Oncol       Date:  2018-07-20

Review 2.  MRI in pregnant patients with suspected abdominal and pelvic cancer: a practical guide for radiologists.

Authors:  Benedetta Gui; Francesco Cambi; Maura Micco; Martina Sbarra; Federica Petta; Rosa Autorino; Rosa De Vincenzo; Vincenzo Valentini; Giovanni Scambia; Riccardo Manfredi
Journal:  Diagn Interv Radiol       Date:  2020-05       Impact factor: 2.630

3.  Do DWI and quantitative DCE perfusion MR have a prognostic value in high-grade serous ovarian cancer?

Authors:  Francesca De Piano; Valentina Buscarino; Dulia Maresca; Patrick Maisonneuve; Giovanni Aletti; Roberta Lazzari; Andrea Vavassori; Massimo Bellomi; Stefania Rizzo
Journal:  Radiol Med       Date:  2019-08-31       Impact factor: 3.469

4.  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

5.  Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom.

Authors:  Dariya I Malyarenko; Scott D Swanson; Amaresha S Konar; Eve LoCastro; Ramesh Paudyal; Michael Z Liu; Sachin R Jambawalikar; Lawrence H Schwartz; Amita Shukla-Dave; Thomas L Chenevert
Journal:  Tomography       Date:  2019-03

6.  Diagnostic utility of a conventional MRI-based analysis and texture analysis for discriminating between ovarian thecoma-fibroma groups and ovarian granulosa cell tumors.

Authors:  Keita Nagawa; Tomoki Kishigami; Fumitaka Yokoyama; Sho Murakami; Toshiharu Yasugi; Yasunobu Takaki; Kaiji Inoue; Saki Tsuchihashi; Satoshi Seki; Yoshitaka Okada; Yasutaka Baba; Kosei Hasegawa; Masanori Yasuda; Eito Kozawa
Journal:  J Ovarian Res       Date:  2022-05-25       Impact factor: 5.506

7.  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 8.  Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients, in-vitro and in-vivo reproducibility.

Authors:  Maysam M Jafar; Arman Parsai; Marc E Miquel
Journal:  World J Radiol       Date:  2016-01-28

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

10.  Comparison of apparent diffusion coefficient maps to T2-weighted images for target delineation in cervix cancer brachytherapy.

Authors:  Jacqueline Esthappan; Daniel J Ma; Vamsidhar R Narra; Constantine A Raptis; Perry W Grigsby
Journal:  J Contemp Brachytherapy       Date:  2011-12-30
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