Literature DB >> 18853846

Clinical application of body diffusion weighted MR imaging in the diagnosis and preoperative N staging of cervical cancer.

Hua-Dan Xue1, Shuo Li, Fei Sun, Hong-Yi Sun, Zheng-Yu Jin, Jia-Xin Yang, Mei Yu.   

Abstract

OBJECTIVE: To evaluate the clinical impact of body diffusion weighted imaging (DWI) on the diagnosis and preoperative N staging of cervical cancer.
METHODS: Twenty-four patients (mean age 37.9 years old) with proved cervical cancer by cervical biopsy and 24 female patients with other suspected pelvic abnormalities received preoperative body DWI scan. Results of body DWI were compared with pathological findings. The apparent diffusion coefficient (ADC) values of normal cervix and different pathological types of cervical cancer were compared. ADC value of normal or inflammatory lymph nodes was also compared with that of metastatic ones. Student's t test was used for statistical analysis.
RESULTS: There were 5 adenocarcinomas and 19 epitheliomas showed with biopsy results, and DWI showed 21 cervical lesions out of them (87.5%). ADC values of the normal cervix (n = 24), epithelioma (n = 19), and adenocarcinoma (n = 5) were (1.73 +/- 0.31) x 10(-3), (0.88 +/- 0.22) x 10(-3), and (1.08 +/- 0.12) x 10(-3) mm2/s, respectively. Statistical analysis showed significant difference in ADC value between normal cervical tissue and either tumor tissues (both P < 0.01). In patients had lymphadenectomy (n = 24), totally 67 lymph nodes including 16 metastatic lymph nodes were pathologically analyzed, and DWI showed 66 (98.5%) out of them. ADC values of normal/inflammatory and metastatic lymph nodes were (1.07 +/- 0.16) x 10(-3) and (0.77 +/- 0.13) x 10(-3) mm2/s (P < 0.01). Receiver operating characteristic (ROC) curve of ADC value of metastatic lymph node showed that area under curve was 0.961.
CONCLUSIONS: ADC value in cervical carcinoma is lower than that in normal cervix, and ADC may have predictive value in subtype discrimination. ADC value may improve the preoperative characterization of lymph node metastasis. And at least abdominal and pelvic DWI scan is suggested for N staging evaluation in such patients.

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Year:  2008        PMID: 18853846     DOI: 10.1016/s1001-9294(09)60027-4

Source DB:  PubMed          Journal:  Chin Med Sci J        ISSN: 1001-9294


  12 in total

1.  Staging of uterine cervical cancer with MRI: guidelines of the European Society of Urogenital Radiology.

Authors:  Corinne Balleyguier; E Sala; T Da Cunha; A Bergman; B Brkljacic; F Danza; R Forstner; B Hamm; R Kubik-Huch; C Lopez; R Manfredi; J McHugo; L Oleaga; K Togashi; K Kinkel
Journal:  Eur Radiol       Date:  2010-11-10       Impact factor: 5.315

2.  Indeterminate adnexal masses at ultrasound: effect of MRI imaging findings on diagnostic thinking and therapeutic decisions.

Authors:  Bianka Chilla; Nik Hauser; Gad Singer; Mafalda Trippel; Johannes M Froehlich; Rahel A Kubik-Huch
Journal:  Eur Radiol       Date:  2010-12-21       Impact factor: 5.315

Review 3.  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

4.  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

5.  Differential diagnosis between metastatic and non-metastatic lymph nodes using DW-MRI: a meta-analysis of diagnostic accuracy studies.

Authors:  Min Zhou; Bin Lu; Gang Lv; Qin Tang; Jibiao Zhu; Jun Li; Kaide Shi
Journal:  J Cancer Res Clin Oncol       Date:  2014-12-17       Impact factor: 4.553

Review 6.  Different imaging techniques for the detection of pelvic lymph nodes metastasis from gynecological malignancies: a systematic review and meta-analysis.

Authors:  Yi Gong; Qingming Wang; Li Dong; Yiping Jia; Chengge Hua; Fanglin Mi; Chunjie Li
Journal:  Oncotarget       Date:  2017-02-21

Review 7.  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

8.  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

9.  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

Review 10.  The Diagnosis of Metastatic Axillary Lymph Nodes of Breast Cancer By Diffusion Weighted Imaging: a meta-analysis and systematic review.

Authors:  Wei Fan Sui; Xiang Chen; Zhen Kun Peng; Jing Ye; Jing Tao Wu
Journal:  World J Surg Oncol       Date:  2016-06-02       Impact factor: 2.754

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