The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
MRI, CT, and PET/CT for Ovarian Cancer Detection and Adnexal Lesion Characterization
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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Cites
Shih, I.-M., & Kurman, R. J. (2004) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)63708-x · Cited by 1,206
Ledermann, J. A., Raja, F. A., Fotopoulou, C., Gonzalez-Martin, A., Colombo, N., & Sessa, C. (2013) · Annals of Oncology · doi:10.1093/annonc/mdt333 · Cited by 1,104
Grading Ovarian Serous Carcinoma Using a Two-Tier System
Malpica, A., Deavers, M. T., Lu, K., Bodurka, D. C., Atkinson, E. N., Gershenson, D. M., & Silva, E. G. (2004) · The American Journal of Surgical Pathology · doi:10.1097/00000478-200404000-00009 · Cited by 670
Histological Typing of Ovarian Tumours
Scully, R. E. (1999) · Springer eBooks · doi:10.1007/978-3-642-58564-7 · Cited by 654
Endometriosis: Radiologic-Pathologic Correlation
Woodward, P. J., Sohaey, R., & Mezzetti, T. P. (2001) · RadioGraphics · doi:10.1148/radiographics.21.1.g01ja14193 · Cited by 418
Imaging Evaluation of Ovarian Masses
Jeong, Y.-Y., Outwater, E. K., & Kang, H. K. (2000) · RadioGraphics · doi:10.1148/radiographics.20.5.g00se101445 · Cited by 410
Malignant neoplasms arising in endometriosis
Heaps, J., Nieberg, R., & Berek, J. (1991) · International Journal of Gynecology & Obstetrics · doi:10.1016/0020-7292(91)90262-4 · Cited by 393
The Efficacy of Transvaginal Sonographic Screening in Asymptomatic Women at Risk for Ovarian Cancer
van Nagell, J. R., DePriest, P. D., Reedy, M. B., Gallion, H. H., Ueland, F. R., Pavlik, E. J., & Kryscio, R. J. (2000) · Gynecologic Oncology · doi:10.1006/gyno.2000.5816 · Cited by 345
Bristow, R. E., Duska, L. R., Lambrou, N. C., Fishman, E. K., O'Neill, M. J., Trimble, E. L., & Montz, F. J. (2000) · Cancer · doi:10.1002/1097-0142(20001001)89:7<1532::aid-cncr17>3.0.co;2-a · Cited by 326
Complex Adnexal Masses: Detection and Characterization with MR Imaging—Multivariate Analysis
Hricak, H., Chen, M., Coakley, F. V., Kinkel, K., Yu, K. K., Sica, G., Bacchetti, P., & Powell, C. B. (2000) · Radiology · doi:10.1148/radiology.214.1.r00ja3939 · Cited by 294
Cited by
ESUR recommendations for MR imaging of the sonographically indeterminate adnexal mass: An update
Forstner, R., Thomassin-Naggara, I., Cunha, T. M., Kinkel, K., Masselli, G., Kubik-Huch, R., Spencer, J. A., & Rockall, A. (2017) · European Radiology · doi:10.1007/s00330-016-4600-3 · Cited by 204
Metadata
- Authors
- Iyer, V. R., & Lee, S. I.
- Venue
- American Journal of Roentgenology
- Publisher
- American Roentgen Ray Society
- Published
- 2010-02
- Volume
- 194
- Issue
- 2
- Pages
- 311-321
- ISSN
- 0002-9580 (ISSN-L)
- 0361-803X
- 1546-3141
- OpenAlex
- W2099853599
- Cited by
- 263
- References
- 47
- FWCI
- 15.62
- Type
- journal article
- Language
- en
- Open access
- closed
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- Iyer, V. R., & Lee, S. I. (2010). MRI, CT, and PET/CT for Ovarian Cancer Detection and Adnexal Lesion Characterization. American Journal of Roentgenology. https://doi.org/10.2214/ajr.09.3522
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
