Literature DB >> 19179862

Ovarian cancer: detection and radiologic staging.

Akram Shaaban1, Maryam Rezvani.   

Abstract

Ovarian cancer is the second most common gynecologic malignancy. It is the deadliest, largely owing to late stage at the time of diagnosis. Ultrasound is modality of choice in the evaluation of suspected adnexal masses. Magnetic resonance imaging is an excellent problem solver when an adnexal mass is indeterminate on ultrasound. Staging of ovarian cancer remains surgical, though preoperative imaging can identify inoperable patients and identify suspicious sites for intraoperative biopsy. This article reviews the use of different imaging modalities in the detection and staging of ovarian carcinoma, and discusses imaging indications, radiologic features, and the shortcomings of imaging.

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Year:  2009        PMID: 19179862     DOI: 10.1097/GRF.0b013e3181961625

Source DB:  PubMed          Journal:  Clin Obstet Gynecol        ISSN: 0009-9201            Impact factor:   2.190


  20 in total

1.  Potential role of coregistered photoacoustic and ultrasound imaging in ovarian cancer detection and characterization.

Authors:  Andres Aguirre; Yasaman Ardeshirpour; Mary M Sanders; Molly Brewer; Quing Zhu
Journal:  Transl Oncol       Date:  2011-02-01       Impact factor: 4.243

Review 2.  An update on the role of PET/CT and PET/MRI in ovarian cancer.

Authors:  Benjapa Khiewvan; Drew A Torigian; Sahra Emamzadehfard; Koosha Paydary; Ali Salavati; Sina Houshmand; Thomas J Werner; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-02-08       Impact factor: 9.236

3.  Interlaced photoacoustic and ultrasound imaging system with real-time coregistration for ovarian tissue characterization.

Authors:  Umar Alqasemi; Hai Li; Guangqian Yuan; Patrick Kumavor; Saeid Zanganeh; Quing Zhu
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

4.  Prognostic and predictive relevance of CA-125 at primary surgery of ovarian cancer.

Authors:  Dina Mury; Linn Woelber; Sabine Jung; Christine Eulenburg; Matthias Choschzick; Isabell Witzel; Joerg Schwarz; Fritz Jaenicke; Sven Mahner
Journal:  J Cancer Res Clin Oncol       Date:  2011-02-23       Impact factor: 4.553

Review 5.  Diagnosis, treatment, and follow-up of borderline ovarian tumors.

Authors:  Daniela Fischerova; Michal Zikan; Pavel Dundr; David Cibula
Journal:  Oncologist       Date:  2012-09-28

6.  Expression of CCL18 gene in ovarian cancer and its impact on the biologic function of ovarian cancer cells.

Authors:  Ying-Zhu Yang; Wei Zhang; Bing-Bing Zhao; Li Li
Journal:  Int J Clin Exp Pathol       Date:  2019-07-01

7.  Utilizing spatial and spectral features of photoacoustic imaging for ovarian cancer detection and diagnosis.

Authors:  Hai Li; Patrick Kumavor; Umar Salman Alqasemi; Quing Zhu
Journal:  J Biomed Opt       Date:  2015-01       Impact factor: 3.170

8.  Recognition algorithm for assisting ovarian cancer diagnosis from coregistered ultrasound and photoacoustic images: ex vivo study.

Authors:  Umar Alqasemi; Patrick Kumavor; Andres Aguirre; Quing Zhu
Journal:  J Biomed Opt       Date:  2012-12       Impact factor: 3.170

9.  Combined detection of serum matrix metalloproteinase 9, acetyl heparinase and cathepsin L in diagnosis of ovarian cancer.

Authors:  Wei Zhang; Xiao-Xia Hu; Xing-Zhi Yang; Qi Wang; Hong Cheng; Shu-Mei Wang; Yan-Ling Hu; Zhi-Jun Yang; Li Li
Journal:  Chin J Cancer Res       Date:  2012-03       Impact factor: 5.087

10.  Coregistered three-dimensional ultrasound and photoacoustic imaging system for ovarian tissue characterization.

Authors:  Andres Aguirre; Puyun Guo; John Gamelin; Shikui Yan; Mary M Sanders; Molly Brewer; Quing Zhu
Journal:  J Biomed Opt       Date:  2009 Sep-Oct       Impact factor: 3.170

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