The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multicenter Comparative Multimodality Surveillance of Women at Genetic-Familial High Risk for Breast Cancer (HIBCRIT Study): Interim Results
Open accessAbstract
Purpose: To prospectively compare clinical breast examination (CBE), mammography, ultrasonography (US), and contrast material–enhanced magnetic resonance (MR) imaging for screening women at genetic-familial high risk for breast cancer and report interim results, with pathologic findings as standard. Materials and Methods: Institutional review board of each center approved the research; informed written consent was obtained. CBE, mammography, US, and MR imaging were performed for yearly screening of BRCA1 or BRCA2 mutation carriers, first-degree relatives of BRCA1 or BRCA2 mutation carriers, or women enrolled because of a strong family history of breast or ovarian cancer (three or more events in first- or second-degree relatives in either maternal or paternal line; these included breast cancer in women younger than 60 years, ovarian cancer at any age, and male breast cancer at any age). Results: Two hundred seventy-eight women (mean age, 46 years ± 12 [standard deviation]) were enrolled. Breast cancer was found in 11 of 278 women at first round and seven of 99 at second round (14 invasive, four intraductal; eight were ≤10 mm in diameter). Detection rate per year was 4.8% (18 of 377) overall; 4.3% (11 of 258) in BRCA1 or BRCA2 mutation carriers and first-degree relatives of BRCA1 or BRCA2 mutation carriers versus 5.9% (seven of 119) in women enrolled because of strong family history; and 5.3% (nine of 169) in women with previous personal breast and/or ovarian cancer versus 4.3% (nine of 208) in those without. In six (33%) of 18 patients, cancer was detected only with MR imaging. Sensitivity was as follows: CBE, 50% (95% confidence interval [CI]: 29%, 71%); mammography, 59% (95% CI: 36%, 78%); US, 65% (95% CI: 41%, 83%); and MR imaging, 94% (95% CI: 82%, 99%). Positive predictive value was as follows: CBE, 82% (95% CI: 52%, 95%); mammography, 77% (95% CI: 50%, 92%); US, 65% (95% CI: 41%, 83%); and MR imaging, 63% (95% CI: 43%, 79%). Conclusion: Addition of MR imaging to the screening regimen for high-risk women may enable detection of otherwise unsuspected breast cancers. © RSNA, 2007
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
Survival and tumour characteristics of breast-cancer patients with germline mutations of BRCA1
Verhoog, L., Brekelmans, C., Seynaeve, C., van den Bosch, L., Dahmen, G., van Geel, A., Tilanus-Linthorst, M., Bartels, C., Wagner, A., van den Ouweland, A., et al. (1998) · The Lancet · doi:10.1016/s0140-6736(97)07065-7 · Cited by 452
Cited by
Magnetic resonance imaging of the breast: Recommendations from the EUSOMA working group
Sardanelli, F., Boetes, C., Borisch, B., Decker, T., Federico, M., Gilbert, F. J., Helbich, T., Heywang-Köbrunner, S. H., Kaiser, W. A., Kerin, M. J., et al. (2010) · European Journal of Cancer · doi:10.1016/j.ejca.2010.02.015 · Cited by 992
Self-citationSystematic Review: Using Magnetic Resonance Imaging to Screen Women at High Risk for Breast Cancer
Warner, E., Messersmith, H., Causer, P., Eisen, A., Shumak, R., & Plewes, D. (2008) · Annals of Internal Medicine · doi:10.7326/0003-4819-148-9-200805060-00007 · Cited by 564
Metadata
- Authors
- Sardanelli, F., Podo, F., D'Agnolo, G., Verdecchia, A., Santaquilani, M., Musumeci, R., Trecate, G., Manoukian, S., Morassut, S., de Giacomi, C., Federico, M., Cortesi, L., Corcione, S., Cirillo, S., & Marra, V.
- Venue
- Radiology
- Published
- 2007-03
- Volume
- 242
- Issue
- 3
- Pages
- 698-715
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2150064779
- Cited by
- 339
- References
- 1
- FWCI
- 20.10
- Type
- journal article
- Language
- en
- Open access
- green
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: Multicenter Comparative Multimodality Surveillance of Women at Genetic-Familial High Risk for Breast Cancer (HIBCRIT Study): Interim Results. https://app.cochat.ai/papers/10.1148/radiol.2423051965
- The paper
- Sardanelli, F., Podo, F., D'Agnolo, G., Verdecchia, A., Santaquilani, M., Musumeci, R., Trecate, G., Manoukian, S., Morassut, S., de Giacomi, C., Federico, M., Cortesi, L., Corcione, S., Cirillo, S., & Marra, V. (2007). Multicenter Comparative Multimodality Surveillance of Women at Genetic-Familial High Risk for Breast Cancer (HIBCRIT Study): Interim Results. Radiology. https://doi.org/10.1148/radiol.2423051965
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.