Literature DB >> 31375171

Imaging and Differential Diagnosis of Ovarian Cancer.

Mahesh Shetty1.   

Abstract

Ovarian cancer is the seventh most common cancer affecting women. Despite advances in cancer control and healthcare in general, mortality from ovarian cancer remains unacceptably high due to diagnosis at an advanced stage of the disease. The 5-year survival rate is 47.4% because a majority of ovarian cancers are diagnosed when advanced. Only 14.9% of ovarian cancers are diagnosed when localized where the survival rate is 92.3%. Mortality rate reduction by screening has not been proven in women at an average risk for ovarian cancer. Ultrasound remains the primary modality for assessment of ovarian tumors. The need for standardizing terminology is critical for optimal assessment of the risk of malignancy in an ovarian tumor. The international ovarian tumor analysis group and more recently the American College of Radiology Ovarian - Adnexal Reporting and Data System Committee have published standardized lexicon for ovarian lesions and encourage ultrasound imagers to adopt this standardized terminology. The aim is to apply the lexicon for risk stratification to allow for consistent follow-up and management. Various methodologies have been tested for characterization of adnexal tumors and to assess risk of malignancy preoperatively. Risk assessment models have been studied against the gold standard of a pattern recognition approach and subjective assessment by an experienced imager. The morphologic patterns of ovarian tumors are detailed and features that are more discriminatory than others in suggesting an ovarian malignancy are described. The imaging pathologic correlation for different tumor types is presented. A brief summary of the ovarian cancer pathologic types and staging of cancer is presented. Finally, the current role of transvaginal sonography as a screening modality for ovarian cancer is discussed. Recently published data show encouraging results, that a multimodal approach of screening for ovarian cancer using transvaginal sonography in women with an elevated CA-125 may prove beneficial and cost effective.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31375171     DOI: 10.1053/j.sult.2019.04.002

Source DB:  PubMed          Journal:  Semin Ultrasound CT MR        ISSN: 0887-2171            Impact factor:   1.875


  7 in total

Review 1.  Current update on malignant epithelial ovarian tumors.

Authors:  Sherif B Elsherif; Priya R Bhosale; Chandana Lall; Christine O Menias; Malak Itani; Kristina A Butler; Dhakshinamoorthy Ganeshan
Journal:  Abdom Radiol (NY)       Date:  2021-06-05

2.  Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer.

Authors:  Ruizhong Miao; Taylor C Badger; Kathleen Groesch; Paula L Diaz-Sylvester; Teresa Wilson; Allen Ghareeb; Jongjin Anne Martin; Melissa Cregger; Michael Welge; Colleen Bushell; Loretta Auvil; Ruoqing Zhu; Laurent Brard; Andrea Braundmeier-Fleming
Journal:  PLoS One       Date:  2020-01-09       Impact factor: 3.240

3.  Ultrasound-Based Molecular Imaging of Tumors with PTPmu Biomarker-Targeted Nanobubble Contrast Agents.

Authors:  Mette L Johansen; Reshani Perera; Eric Abenojar; Xinning Wang; Jason Vincent; Agata A Exner; Susann M Brady-Kalnay
Journal:  Int J Mol Sci       Date:  2021-02-17       Impact factor: 5.923

4.  Diagnostic Value of Two-Dimensional Transvaginal Ultrasound Combined with Contrast-Enhanced Ultrasound in Ovarian Cancer.

Authors:  Rong Hu; Gulina Shahai; Hui Liu; Yuling Feng; Hong Xiang
Journal:  Front Surg       Date:  2022-05-27

5.  Gadolinium-labeled affibody-XTEN recombinant vector for detection of HER2+ lesions of ovarian cancer lung metastasis using quantitative MRI.

Authors:  Alireza Nomani; Geng Li; Siavash Yousefi; Shawn Wu; Obeid M Malekshah; Shahryar K Nikkhoi; Mehrdad Pourfathi; Rahim Rizi; Arash Hatefi
Journal:  J Control Release       Date:  2021-07-18       Impact factor: 11.467

6.  Natural compound Tan-I enhances the efficacy of Paclitaxel chemotherapy in ovarian cancer.

Authors:  Jin Zhou; Yuan-Yuan Jiang; Hai-Ping Wang; Huan Chen; Yi-Chao Wu; Long Wang; Xiang Pu; Guizhou Yue; Li Zhang
Journal:  Ann Transl Med       Date:  2020-06

7.  Correlation analysis and clinical significance of CA125, HE4, DDI, and FDP in type II epithelial ovarian cancer.

Authors:  Li Qiao; Xinhua Chen; Xuxia Xi; Xueqin Chen; Pengpeng Zhang; Hua Dong; Xiaohua Wu; Xiaojun Chen
Journal:  Medicine (Baltimore)       Date:  2020-12-04       Impact factor: 1.817

  7 in total

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