Literature DB >> 21497384

Differentiation of metastatic from non-metastatic lymph nodes in patients with uterine cervical cancer using diffusion-weighted imaging.

Ying Liu1, Haidong Liu, Xu Bai, Zhaoxiang Ye, Haoran Sun, Renju Bai, Dehua Wang.   

Abstract

OBJECTIVE: This study aims to determine the diagnostic value of diffusion-weighted imaging (DWI) in the differentiation of metastatic lymph nodes from non-metastatic lymph nodes in uterine cervical cancer.
METHODS: In 42 patients who underwent lymph node dissection for uterine cervical cancer, conventional MRI and DWI examinations were performed before surgery. Of the 1109 total dissected pelvic lymph nodes, 188 enlarged nodes with a short-axis diameter of 5mm or greater were included for further analysis. Each of the size-based criteria (i.e., short-axis diameter and long-axis diameter) and ADC-based criteria (i.e., mean ADC, minimum ADC, mean rADC (relative ADC) and minimum rADC) were compared between metastatic lymph nodes and non-metastatic lymph nodes.
RESULTS: There were statistically significant differences between metastatic and non-metastatic lymph nodes in the short-axis diameter, long-axis diameter, mean ADC, minimum ADC, mean rADC and minimum rADC (P < 0.001). The Az of the minimum ADC (0.990) was greater than that of the other ADC-based criteria (0.974, 0.939, 0.976 for mean ADC, mean rADC and minimum rADC, respectively) and all size-based criteria (0.878 for short-axis diameter and 0.858 for long-axis diameter) (P < 0.05). Using the minimum ADC criteria (≤ 0.881 × 10⁻³ mm²/s), the sensitivity and specificity for differentiating metastatic from non-metastatic lymph nodes were 95.7% and 96.5%, respectively.
CONCLUSIONS: DWI is feasible for differentiating metastatic from non-metastatic pelvic lymph nodes in patients with uterine cervical cancer and minimum ADC could be served as a representative marker.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21497384     DOI: 10.1016/j.ygyno.2011.03.023

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


  19 in total

1.  Volume Measurement by Diffusion-Weighted Imaging in Cervical Cancer.

Authors:  Shinya Fujii; Naoki Iwata; Chie Inoue; Naoko Mukuda; Takeru Fukunaga; Toshihide Ogawa
Journal:  Yonago Acta Med       Date:  2017-06-26       Impact factor: 1.641

Review 2.  Diagnostic performance of diffusion-weighted MRI for detection of pelvic metastatic lymph nodes in patients with cervical cancer: a systematic review and meta-analysis.

Authors:  G Shen; H Zhou; Z Jia; H Deng
Journal:  Br J Radiol       Date:  2015-05-29       Impact factor: 3.039

3.  Diffusion-weighted imaging to differentiate metastatic from non-metastatic retropharyngeal lymph nodes in nasopharyngeal carcinoma.

Authors:  H Li; X-W Liu; Z-J Geng; D-L Wang; C-M Xie
Journal:  Dentomaxillofac Radiol       Date:  2014-11-28       Impact factor: 2.419

4.  ADC maps in the prediction of pelvic lymph nodal metastatic regions in endometrial cancer.

Authors:  Gilda Rechichi; Stefania Galimberti; Matteo Oriani; Patrizia Perego; Maria Grazia Valsecchi; Sandro Sironi
Journal:  Eur Radiol       Date:  2012-07-21       Impact factor: 5.315

5.  Benign and malignant enlarged chest nodes staging by diffusion-weighted MRI: an alternative to mediastinoscopy?

Authors:  Monica Sigovan; Pia Akl; Caroline Mesmann; Francois Tronc; Salim Si-Mohamed; Philippe Douek; Loic Boussel
Journal:  Br J Radiol       Date:  2017-12-18       Impact factor: 3.039

6.  Diagnostic power of diffusion-weighted magnetic resonance imaging for the presence of lymph node metastasis: A meta-analysis.

Authors:  Xiang-Chuang Kong; Ling-Yun Xiong; Emre Gazyakan; Holger Engel; Ulrich Kneser; Andreas K Nüssler; Christoph Hirche; Xiang-Quan Kong
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2017-08-08

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.  What's New in Imaging for Gynecologic Cancer?

Authors:  Sairah R Khan; Mubarik Arshad; Kathryn Wallitt; Victoria Stewart; Nishat Bharwani; Tara D Barwick
Journal:  Curr Oncol Rep       Date:  2017-11-06       Impact factor: 5.075

9.  Role of Functional Magnetic Resonance Imaging Derived Parameters as Imaging Biomarkers and Correlation with Clinicopathological Features in Carcinoma of Uterine Cervix.

Authors:  Ramireddy Jeba Karunya; Putta Tharani; Subhashini John; Ramani Manoj Kumar; Saikat Das
Journal:  J Clin Diagn Res       Date:  2017-08-01

10.  Feasibility of an ADC-based radiomics model for predicting pelvic lymph node metastases in patients with stage IB-IIA cervical squamous cell carcinoma.

Authors:  Yan Yan Yu; Rui Zhang; Rui Tong Dong; Qi Yun Hu; Tao Yu; Fan Liu; Ya Hong Luo; Yue Dong
Journal:  Br J Radiol       Date:  2019-04-01       Impact factor: 3.039

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