Literature DB >> 21764110

Accuracy of diffusion-weighted echo-planar MR imaging and ADC mapping in the evaluation of residual cervical carcinoma after radiation therapy.

Antonin Levy1, Caroline Caramella, Cyrus Chargari, Aicha Medjhoul, Annie Rey, Elise Zareski, Bérénice Boulet, François Bidault, Clarisse Dromain, Corinne Balleyguier.   

Abstract

OBJECTIVES: The impact of diffusion-weighted imaging (DWI) and apparent diffusion coefficients (ADCs) of MR imaging on the evaluation of residual Uterine Cervical Carcinoma after Radiation Therapy, in addition to conventional MR images.
METHODS: Fourty-nine women presenting with a uterine cervical cancer were examined with 1.5 T MRI and DWI, 8 (4-20) weeks after treatment. Treatment response was determined based on the histopathological results after therapy and was classified as a complete response (CR) or residual disease (RD). Post-treatment DWI and ADC results were compared.
RESULTS: Five (11%) and 44 (89%) patients were considered as having histologically-proven RD or a CR respectively. The mean ADC of cervical tissue for all patients was 1.74±0.324×10(-3) mm(2)/s and the SD was 1.94±1.11×10(-4). The mean ADC was 1.62±0.21×10(-3) mm(2)/s (SD=1.45×10(-4)) for the 5 patients with RD versus 1.76±0.33×10(-3) mm(2)/s (SD=1.99×10(-4)) for the 44 patients with a CR (p=0.09). Using 1.7×10(-3) mm(2)/s as a radiological cut-off value for the ADC, all patients classified as having histologically-proven RD had a mean ADC of ≤1.7×10(-3). In 12 (25%) cases, RD was suspected on T2-weighted MRI images alone. Eight of these cases were considered as false positives compared to the histological results. Their mean ADC was 1.98×10(-3) mm(2)/s and none of them had an ADC of <1.7×10(-3) mm(2)/s.
CONCLUSION: Although our results were not statistically significant, ADC values could potentially be used to predict and monitor the response of uterine cervical cancer.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21764110     DOI: 10.1016/j.ygyno.2011.06.009

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  17 in total

1.  Staging, recurrence and follow-up of uterine cervical cancer using MRI: Updated Guidelines of the European Society of Urogenital Radiology after revised FIGO staging 2018.

Authors:  Lucia Manganaro; Yulia Lakhman; Nishat Bharwani; Benedetta Gui; Silvia Gigli; Valeria Vinci; Stefania Rizzo; Aki Kido; Teresa Margarida Cunha; Evis Sala; Andrea Rockall; Rosemarie Forstner; Stephanie Nougaret
Journal:  Eur Radiol       Date:  2021-04-14       Impact factor: 5.315

2.  Diffusion-weighted MR imaging in gynecologic cancers.

Authors:  Shigenobu Motoshima; Hiroyuki Irie; Takahiko Nakazono; Toshiharu Kamura; Sho Kudo
Journal:  J Gynecol Oncol       Date:  2011-12-05       Impact factor: 4.401

3.  Added value of diffusion-weighted MRI in detection of cervical cancer recurrence: comparison with morphologic and dynamic contrast-enhanced MRI sequences.

Authors:  Rita Lucas; João Lopes Dias; Teresa Margarida Cunha
Journal:  Diagn Interv Radiol       Date:  2015 Sep-Oct       Impact factor: 2.630

Review 4.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

Review 5.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
Journal:  NMR Biomed       Date:  2016-01-15       Impact factor: 4.044

6.  Comparison of positron emission tomography/computed tomography and magnetic resonance imaging for posttherapy evaluation in patients with advanced cervical cancer receiving definitive concurrent chemoradiotherapy.

Authors:  Tzu-Pei Su; Gigin Lin; Yu-Ting Huang; Feng-Yuan Liu; Chun-Chieh Wang; Angel Chao; Hung-Hsueh Chou; Tzu-Chen Yen; Chyong-Huey Lai
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11-20       Impact factor: 9.236

7.  Correlation between clinical findings and magnetic resonance imaging for the assessment of local response after standard treatment in cervical cancer.

Authors:  Izaskun Valduvieco; Albert Biete; Iván Rios; Ricardo Llorente; Angels Rovirosa; Jaume Pahisa; Laura Vidal; Blanca Farrús; Pilar Samper
Journal:  Rep Pract Oncol Radiother       Date:  2013-06-18

Review 8.  Radiomics in radiation oncology for gynecological malignancies: a review of literature.

Authors:  Morgan Michalet; David Azria; Marion Tardieu; Hichem Tibermacine; Stéphanie Nougaret
Journal:  Br J Radiol       Date:  2021-05-07       Impact factor: 3.629

9.  Diagnostic significance of diffusion-weighted MRI in patients with cervical cancer: a meta-analysis.

Authors:  Bo Hou; Shi-Feng Xiang; Gen-Dong Yao; Su-Jun Yang; Yu-Fang Wang; Yi-Xin Zhang; Jun-Wei Wang
Journal:  Tumour Biol       Date:  2014-08-29

10.  MRI accuracy and interobserver agreement in locally advanced cervix carcinoma.

Authors:  Amalia Jacquot; Céline Chauleur; Anne-Sophie Russel-Robillard; Fabien Tinquaut; Sandrine Sotton; Nicolas Magne; Guillaume Etievent
Journal:  Br J Radiol       Date:  2021-07-08       Impact factor: 3.629

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