The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Imaging Evaluation of Ovarian Masses
Abstract
Adnexal masses present a special diagnostic challenge, in part because benign adnexal masses greatly outnumber malignant ones. Determination of a degree of suspicion for malignancy is critical and is based largely on imaging appearance. Endovaginal ultrasonography (US) is the most practical modality for assessment of ovarian tumors because it is readily available and has a high negative predictive value. Morphologic analysis of adnexal masses is accurate for identifying masses as either low risk or high risk. The most important morphologic features are non-fatty solid (vascularized) tissue, thick septations, and papillary projections. Color Doppler US helps identify solid, vascularized components in a mass. Spectral Doppler waveform characteristics (eg, resistive index, pulsatility index) correlate well with malignancy but generally add little information to morphologic considerations. Computed tomography can help assess the extent of disease in patients before and after primary cytoreductive surgery. Magnetic resonance (MR) imaging is better reserved for problem solving when US findings are nondiagnostic or equivocal because, although it is more accurate for diagnosis, it is also more expensive. The signal intensity characteristics of ovarian masses make possible a systematic approach to diagnosis. Mature cystic teratomas, cysts, endometriomas, leiomyomas, fibromas, and other lesions can be accurately diagnosed on the basis of T1-weighted, T2-weighted, and fat-saturated T1-weighted MR imaging findings.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Induction of angiogenesis during the transition from hyperplasia to neoplasia
Folkman, J., Watson, K., Ingber, D., & Hanahan, D. (1989) · Nature · doi:10.1038/339058a0 · Cited by 1,879
Magnetic resonance relaxation time in evaluating the cyst fluid characteristics of endometrioma
Takahashi, K., Okada, S., Okada, M., Kitao, M., Kaji, Y., & Sugimura, K. (1996) · Human Reproduction · doi:10.1093/oxfordjournals.humrep.a019266 · Cited by 36
Cited by
MRI, CT, and PET/CT for Ovarian Cancer Detection and Adnexal Lesion Characterization
Iyer, V. R., & Lee, S. I. (2010) · American Journal of Roentgenology · doi:10.2214/ajr.09.3522 · Cited by 263
Metadata
- Authors
- Jeong, Y.-Y., Outwater, E. K., & Kang, H. K.
- Venue
- RadioGraphics
- Published
- 2000-09
- Volume
- 20
- Issue
- 5
- Pages
- 1445-1470
- ISSN
- 0271-5333 (ISSN-L)
- 1527-1323
- OpenAlex
- W2118639745
- Cited by
- 410
- References
- 2
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Imaging Evaluation of Ovarian Masses. https://app.cochat.ai/papers/10.1148/radiographics.20.5.g00se101445
- The paper
- Jeong, Y.-Y., Outwater, E. K., & Kang, H. K. (2000). Imaging Evaluation of Ovarian Masses. RadioGraphics. https://doi.org/10.1148/radiographics.20.5.g00se101445
Data sources
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.