Literature DB >> 20093590

MRI, CT, and PET/CT for ovarian cancer detection and adnexal lesion characterization.

Veena R Iyer1, Susanna I Lee.   

Abstract

OBJECTIVE: The purpose of this article is to describe the role of MR, CT, and PET/CT in the detection of ovarian cancer and the evaluation of adnexal lesions.
CONCLUSION: The goal of imaging in ovarian cancer detection is to expeditiously distinguish benign adnexal lesions from those requiring further pathologic evaluation for malignancy. For lesions indeterminate on ultrasound, MRI increases the specificity of imaging evaluation, thus decreasing benign resections. CT is useful in diagnosis and treatment planning of advanced cancer. Although (18)F-FDG-avid ovarian lesions in postmenopausal women are considered suspicious for malignancy, PET/CT is not recommended for primary cancer detection because of high false-positive rates.

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Year:  2010        PMID: 20093590     DOI: 10.2214/AJR.09.3522

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  39 in total

1.  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 2.  Spectrum of fluorodeoxyglucose-positron emission tomography/computed tomography and magnetic resonance imaging findings of ovarian tumors.

Authors:  Kazuhiro Kitajima; Yoshiko Ueno; Tetsuo Maeda; Koji Murakami; Yasushi Kaji; Masato Kita; Kayo Suzuki; Kazuro Sugimura
Journal:  Jpn J Radiol       Date:  2011-09-29       Impact factor: 2.374

Review 3.  Value of MRI in Characterizing Adnexal Masses.

Authors:  Alpana Karnik; Raina Anil Tembey; Sanjeev Mani
Journal:  J Obstet Gynaecol India       Date:  2015-07-09

4.  Screening for ovarian cancer: imaging challenges and opportunities for improvement.

Authors:  K B Mathieu; D G Bedi; S L Thrower; A Qayyum; R C Bast
Journal:  Ultrasound Obstet Gynecol       Date:  2018-03       Impact factor: 7.299

Review 5.  Multimodality imaging and genomics of granulosa cell tumors.

Authors:  Sherif Elsherif; Matthew Bourne; Erik Soule; Chandana Lall; Priya Bhosale
Journal:  Abdom Radiol (NY)       Date:  2020-03

Review 6.  Imaging of pediatric ovarian neoplasms.

Authors:  Monica Epelman; Kudakwashe R Chikwava; Nancy Chauvin; Sabah Servaes
Journal:  Pediatr Radiol       Date:  2011-05-13

Review 7.  Radiological images and machine learning: Trends, perspectives, and prospects.

Authors:  Zhenwei Zhang; Ervin Sejdić
Journal:  Comput Biol Med       Date:  2019-02-27       Impact factor: 4.589

Review 8.  Low-grade epithelial ovarian cancer: what a radiologist should know.

Authors:  Sherif Elsherif; Sanaz Javadi; Chitra Viswanathan; Silvana Faria; Priya Bhosale
Journal:  Br J Radiol       Date:  2019-01-31       Impact factor: 3.039

9.  Multimodality imaging of ovarian cystic lesions: Review with an imaging based algorithmic approach.

Authors:  Ashish P Wasnik; Christine O Menias; Joel F Platt; Usha R Lalchandani; Deepak G Bedi; Khaled M Elsayes
Journal:  World J Radiol       Date:  2013-03-28

Review 10.  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

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