Literature DB >> 20677265

The influence of the b-value combination on apparent diffusion coefficient based differentiation between malignant and benign tissue in cervical cancer.

Jacob P Hoogendam1, Wenche M Klerkx, Gerard A P de Kort, Shandra Bipat, Ronald P Zweemer, Daisy M D S Sie-Go, René H M Verheijen, Willem P T M Mali, Wouter B Veldhuis.   

Abstract

PURPOSE: To analyze the influence of different b-value combinations on apparent diffusion coefficient (ADC)-based differentiation of known malignant and benign tissue in cervical cancer patients.
MATERIALS AND METHODS: A total of 35 patients with stage IB1, IB2, IIA cervical cancer underwent a 3.0T MRI scan prior to radical hysterectomy and pelvic lymph node dissection. Conventional T1- and T2-weighted sequences and a diffusion-weighted sequence (b = 0, 150, 500, 1000 seconds/mm(2)) were performed. Regions-of-interest (ROI) were drawn on ADC maps derived from five different b-value combinations (0, 500; 0, 150, 500; 0, 1000; 0, 150, 500, 1000; 150, 500, 1000 seconds/mm(2)). The influence of the b-value combination on ADC-based differentiation of benign and malignant tissue was analyzed using receiver-operating-characteristics curves.
RESULTS: For all b-value combinations, ADCs were significantly lower (P < 0.001) in cervical malignancies (1.15 +/- 0.21.10(-3); 1.10 +/- 0.21.10(-3); 0.97 +/- 0.18.10(-3); 0.97 +/- 0.23.10(-3) and 0.85 +/- 0.18.10(-3) mm(2)/second respectively to the aforementioned b-value combinations) than in benign cervix (2.08 +/- 0.31.10(-3); 2.00 +/- 0.29.10(-3); 1.62 +/- 0.23.10(-3); 1.54 +/- 0.21.10(-3) and 1.42 +/- 0.22.10(-3) mm(2)/second respectively). The diagnostic accuracy was high for all b-value combinations and without statistical differences between the combinations.
CONCLUSION: ADC-based differentiation of benign from malignant cervical tissue is independent of the tested b-value combinations. The results support the inclusion and possible pooling of studies using different b-value combinations in meta-analyses on ADC-based tissue differentiation in cervical cancer. 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20677265     DOI: 10.1002/jmri.22236

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


  9 in total

1.  Added-Value of Diffusion-Weighted Imaging (DWI) and Dynamic Contrast-Enhanced (DCE-MRI) Magnetic Resonance Imaging in the Preoperative Assessment of Cervical Cancer.

Authors:  Rohit Bhardwaj; Deb K Boruah; Bidyut Bikash Gogoi; Farzana Zahir; Adity Sharma
Journal:  J Obstet Gynaecol India       Date:  2021-07-22

Review 2.  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

3.  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

4.  Comparison of optimised endovaginal vs external array coil T2-weighted and diffusion-weighted imaging techniques for detecting suspected early stage (IA/IB1) uterine cervical cancer.

Authors:  Kate Downey; Ayoma D Attygalle; Veronica A Morgan; Sharon L Giles; A MacDonald; M Davis; Thomas E J Ind; John H Shepherd; Nandita M deSouza
Journal:  Eur Radiol       Date:  2015-07-11       Impact factor: 5.315

Review 5.  The value of advanced MRI techniques in the assessment of cervical cancer: a review.

Authors:  Evelyn Dappa; Tania Elger; Annette Hasenburg; Christoph Düber; Marco J Battista; Andreas M Hötker
Journal:  Insights Imaging       Date:  2017-08-21

Review 6.  Whole body MRI: improved lesion detection and characterization with diffusion weighted techniques.

Authors:  Rajpaul Attariwala; Wayne Picker
Journal:  J Magn Reson Imaging       Date:  2013-08       Impact factor: 4.813

7.  Influencing surgical management in patients with carcinoma of the cervix using a T2- and ZOOM-diffusion-weighted endovaginal MRI technique.

Authors:  K Downey; M Jafar; A D Attygalle; S Hazell; V A Morgan; S L Giles; M A Schmidt; T E J Ind; J H Shepherd; N M deSouza
Journal:  Br J Cancer       Date:  2013-07-18       Impact factor: 7.640

8.  Craniocaudal tumour extension in uterine cervical cancer on MRI compared to histopathology.

Authors:  Peter de Boer; Maaike C G Bleeker; Anje M Spijkerboer; Agustinus J A J van de Schoot; Shandra Bipat; Marrije R Buist; Coen R N Rasch; Jaap Stoker; Lukas J A Stalpers
Journal:  Eur J Radiol Open       Date:  2015-07-26

9.  Pre-treatment MRI minimum apparent diffusion coefficient value is a potential prognostic imaging biomarker in cervical cancer patients treated with definitive chemoradiation.

Authors:  Daniel Grossi Marconi; Jose Humberto Tavares Guerreiro Fregnani; Rodrigo Ribeiro Rossini; Ana Karina Borges Junqueira Netto; Fabiano Rubião Lucchesi; Audrey Tieko Tsunoda; Mitchell Kamrava
Journal:  BMC Cancer       Date:  2016-07-28       Impact factor: 4.430

  9 in total

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