Literature DB >> 25724182

The clinical value of dynamic contrast-enhanced MRI in differential diagnosis of malignant and benign ovarian lesions.

Xian Li1, Jun-Li Hu, Lai-Min Zhu, Xin-Hai Sun, Hua-Qiang Sheng, Ning Zhai, Xi-Bin Hu, Chu-Ran Sun, Bin Zhao.   

Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used in preoperative diagnosis of various tumors. We investigated the clinical value of DCE-MRI in differential diagnosis of malignant and benign ovarian lesions. The study involved 48 subjects with surgical pathology-confirmed ovarian tumors with solid components. Early dynamic phase enhancement performances of the ovarian lesions in patients were assessed, including the enhancement pattern, time-signal intensity curve (TIC), signal intensity rate at the initial 60 s (SI60), time to peak within 200 s (TTP200), and slope ratio. There were significant differences in enhancement patterns between benign and malignant ovarian tumors (P <  .05). A total of 30 malignant tumors (30/31) displayed type I TIC, 8 benign tumors (8/13) showed type III TIC, and significant differences were found in TIC type between malignant and benign ovarian lesions (P < 0.01). Benign ovarian tumors showed lower SI60 (%) and slope ratio, as well as significantly prolonged TTP20, compared to malignant ovarian tumors (all P < 0.01). The microvessel count (MVC) of malignant tumors was significantly higher than that of benign tumors (P < 0.05). Receiver operating characteristic (ROC) curve analyses revealed that DCE-MRI provided an optimal diagnostic performance with threshold values of SI60 at 83.40 %, TTP200 at 77.65 s, and slope ratio at 4.12. These findings revealed that DCE-MRI provides critical information required for differential diagnosis of malignant and benign ovarian lesions.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25724182     DOI: 10.1007/s13277-015-3219-3

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  49 in total

Review 1.  Dynamic contrast-enhanced breast MR imaging.

Authors:  Marianne Moon; Daniel Cornfeld; Jeffrey Weinreb
Journal:  Magn Reson Imaging Clin N Am       Date:  2009-05       Impact factor: 2.266

2.  Reproducibility of dynamic contrast-enhanced MR imaging. Part I. Perfusion characteristics in the female pelvis by using multiple computer-aided diagnosis perfusion analysis solutions.

Authors:  Tobias Heye; Matthew S Davenport; Jeffrey J Horvath; Sebastian Feuerlein; Steven R Breault; Mustafa R Bashir; Elmar M Merkle; Daniel T Boll
Journal:  Radiology       Date:  2012-12-06       Impact factor: 11.105

3.  Comprehensive population-averaged arterial input function for dynamic contrast-enhanced vmagnetic resonance imaging of head and neck cancer.

Authors:  Jennifer D Onxley; David S Yoo; Naira Muradyan; James R MacFall; David M Brizel; Oana I Craciunescu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-07-01       Impact factor: 7.038

Review 4.  Imaging ovarian cancer and peritoneal metastases--current and emerging techniques.

Authors:  Stavroula Kyriazi; Stan B Kaye; Nandita M deSouza
Journal:  Nat Rev Clin Oncol       Date:  2010-04-13       Impact factor: 66.675

Review 5.  Screening for ovarian cancer in the general population.

Authors:  Aleksandra Gentry-Maharaj; Usha Menon
Journal:  Best Pract Res Clin Obstet Gynaecol       Date:  2011-12-17       Impact factor: 5.237

6.  Diagnosis and staging of primary ovarian cancer: correlation between PET/CT, Doppler US, and CT or MRI.

Authors:  Eun Ji Nam; Mi Jin Yun; Young Taik Oh; Jae Wook Kim; Jae Hoon Kim; Sunghoon Kim; Yong Wook Jung; Sang Wun Kim; Young Tae Kim
Journal:  Gynecol Oncol       Date:  2009-11-18       Impact factor: 5.482

Review 7.  Value of magnetic resonance imaging for the diagnosis of ovarian tumors: a review.

Authors:  Marc Bazot; Emile Daraï; Jinane Nassar-Slaba; Clarisse Lafont; Isabelle Thomassin-Naggara
Journal:  J Comput Assist Tomogr       Date:  2008 Sep-Oct       Impact factor: 1.826

8.  Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  M O Leach; B Morgan; P S Tofts; D L Buckley; W Huang; M A Horsfield; T L Chenevert; D J Collins; A Jackson; D Lomas; B Whitcher; L Clarke; R Plummer; I Judson; R Jones; R Alonzi; T Brunner; D M Koh; P Murphy; J C Waterton; G Parker; M J Graves; T W J Scheenen; T W Redpath; M Orton; G Karczmar; H Huisman; J Barentsz; A Padhani
Journal:  Eur Radiol       Date:  2012-05-07       Impact factor: 5.315

Review 9.  Imaging tumor vascular heterogeneity and angiogenesis using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Alan Jackson; James P B O'Connor; Geoff J M Parker; Gordon C Jayson
Journal:  Clin Cancer Res       Date:  2007-06-15       Impact factor: 12.531

10.  Trends in incidence and survival outcome of epithelial ovarian cancer: 30-year national population-based registry in Taiwan.

Authors:  Ying-Cheng Chiang; Chi-An Chen; Chun-Ju Chiang; Tsui-Hsia Hsu; Ming-Chieh Lin; San-Lin You; Wen-Fang Cheng; Mei-Shu Lai
Journal:  J Gynecol Oncol       Date:  2013-10-02       Impact factor: 4.401

View more
  7 in total

Review 1.  Molecular Imaging of Ovarian Cancer.

Authors:  Sai Kiran Sharma; Brandon Nemieboka; Evis Sala; Jason S Lewis; Brian M Zeglis
Journal:  J Nucl Med       Date:  2016-04-28       Impact factor: 10.057

2.  The value of dynamic contrast-enhanced MRI in characterizing complex ovarian tumors.

Authors:  Hai-Ming Li; Jin-Wei Qiang; Feng-Hua Ma; Shu-Hui Zhao
Journal:  J Ovarian Res       Date:  2017-01-14       Impact factor: 4.234

3.  The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas.

Authors:  Su Juan Yuan; Tian Kui Qiao; Jin Wei Qiang; Song Qi Cai; Ruo Kun Li
Journal:  J Ovarian Res       Date:  2017-09-26       Impact factor: 4.234

4.  Using arterial spin labeling blood flow and its histogram analysis to distinguish early-stage nasopharyngeal carcinoma from lymphoid hyperplasia.

Authors:  Bohan Xiao; Peiguo Wang; Yingru Zhao; Ying Liu; Zhaoxiang Ye
Journal:  Medicine (Baltimore)       Date:  2021-02-26       Impact factor: 1.817

5.  The value of diffusion-weighted and dynamic contrast-enhanced imaging in the diagnosis of thymic epithelial tumors.

Authors:  Tran-Thi Mai Thuy; Vo Tan Duc; Tran Thanh Vy; Nguyen Hoang Nam; Nguyen Minh Duc
Journal:  Int J Med Sci       Date:  2022-09-21       Impact factor: 3.642

6.  MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review.

Authors:  Lotte W E van Nimwegen; Annelies M C Mavinkurve-Groothuis; Ronald R de Krijger; Caroline C C Hulsker; Angelique J Goverde; József Zsiros; Annemieke S Littooij
Journal:  Eur Radiol       Date:  2019-09-16       Impact factor: 5.315

7.  Application Value of Color Doppler Ultrasound and Ultrasound Contrast in the Differential Diagnosis of Ovarian tumor.

Authors:  Haijing Zhang; Jinming Wang; Rui Guo
Journal:  Pak J Med Sci       Date:  2020 Jan-Feb       Impact factor: 1.088

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.