Literature DB >> 35923516

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

Rohit Bhardwaj1, Deb K Boruah2, Bidyut Bikash Gogoi3, Farzana Zahir4, Adity Sharma3.   

Abstract

Purpose: To evaluate the added-value of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in the preoperative assessment of carcinoma cervix.
Methods: This prospective study was carried out on histopathologically proven 45 patients of carcinoma cervix presented to a tertiary care hospital with bleeding per vagina between August 2017 and July 2018. Relevant local per vaginal examination and MRI examination of the pelvis were performed.
Results: A total of 45 patients with carcinoma of the cervix, having 11 patients (24.4%) in Stage-I, 22 patients (48.9%) in Stage-II, 3 patients (6.7%) in Stage-III and 9 patients (20%) in stage-IV, were included in this study sample. The mean ADC value of the carcinoma of cervix was 0.802 ± 0.123 [SD] × 10-3 mm2/s. The stage-I carcinoma cervix had a mean ADC value of 0.915 ± 0.109 [SD] × 10-3 mm2/s, Stage-II 0.778 ± 0.099 [SD] × 10-3 mm2/s, Stage-III 0.762 ± 0.123 [SD] × 10-3 mm2/s and Stage-IV 0.737 ± 0.116 [SD] × 10-3 mm2/s. ROC curve analysis showed the percentage of signal intensity changes within cervical tumor on arterial phase of DCE-MRI had a threshold value of 42.25 in differentiating Stage-I carcinoma of cervix from other stages with a sensitivity of 81.8% and specificity of 44.1%.
Conclusion: The DWI and DCE-MRI added valuable inputs over conventional MR sequences in the early diagnosis and preoperative staging of carcinoma cervix. DCE-MRI had a high accuracy for assessing the cervical stromal and parametrial invasions, which helps in selecting the optimal therapeutic protocol and prognostication in gynecological malignancies. © Federation of Obstetric & Gynecological Societies of India 2021.

Entities:  

Keywords:  Apparent diffusion coefficient (ADC); Cervical malignancy; Magnetic resonance imaging (MRI)

Year:  2021        PMID: 35923516      PMCID: PMC9339443          DOI: 10.1007/s13224-021-01488-9

Source DB:  PubMed          Journal:  J Obstet Gynaecol India        ISSN: 0975-6434


  22 in total

1.  Staging of uterine cervical carcinoma: whole-body diffusion-weighted magnetic resonance imaging.

Authors:  Yun B Chen; Chun M Hu; Gui L Chen; Dan Hu; Jiang Liao
Journal:  Abdom Imaging       Date:  2011-10

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

Authors:  Jacob P Hoogendam; 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
Journal:  J Magn Reson Imaging       Date:  2010-08       Impact factor: 4.813

3.  FDG-PET-based prognostic nomograms for locally advanced cervical cancer.

Authors:  Elizabeth A Kidd; Issam El Naqa; Barry A Siegel; Farrokh Dehdashti; Perry W Grigsby
Journal:  Gynecol Oncol       Date:  2012-06-24       Impact factor: 5.482

4.  The mean apparent diffusion coefficient value (ADCmean) on primary cervical cancer is a predictive marker for disease recurrence.

Authors:  Keiichiro Nakamura; Ikuo Joja; Takeshi Nagasaka; Chikako Fukushima; Tomoyuki Kusumoto; Noriko Seki; Atsushi Hongo; Junichi Kodama; Yuji Hiramatsu
Journal:  Gynecol Oncol       Date:  2012-08-11       Impact factor: 5.482

Review 5.  Diffusion-weighted imaging and dynamic contrast-enhanced MRI in assessing response and recurrent disease in gynaecological malignancies.

Authors:  Ayshea Hameeduddin; Anju Sahdev
Journal:  Cancer Imaging       Date:  2015-03-15       Impact factor: 3.909

Review 6.  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

7.  Prognostic value of the 2018 FIGO staging system for cervical cancer patients with surgical risk factors.

Authors:  Ding-Ding Yan; Qiu Tang; Jian-Hong Chen; Ye-Qiang Tu; Xiao-Juan Lv
Journal:  Cancer Manag Res       Date:  2019-06-13       Impact factor: 3.989

8.  Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis.

Authors:  Marc Arbyn; Elisabete Weiderpass; Laia Bruni; Silvia de Sanjosé; Mona Saraiya; Jacques Ferlay; Freddie Bray
Journal:  Lancet Glob Health       Date:  2019-12-04       Impact factor: 26.763

9.  Comparison of the outcome between cervical adenocarcinoma and squamous cell carcinoma patients with adjuvant radiotherapy following radical surgery: SGSG/TGCU Intergroup Surveillance.

Authors:  Muneaki Shimada; Ryuichiro Nishimura; Takamitsu Nogawa; Masayuki Hatae; Kazuhiro Takehara; Hidekazu Yamada; Hirohisa Kurachi; Yoshihito Yokoyama; Toru Sugiyama; Junzo Kigawa
Journal:  Mol Clin Oncol       Date:  2013-05-09

10.  MR imaging of carcinoma cervix.

Authors:  Mangal Mahajan; Rajesh Kuber; Kr Chaudhari; Prashant Chaudhari; Pravin Ghadage; Rushikesh Naik
Journal:  Indian J Radiol Imaging       Date:  2013-07
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