Evidence map›Paper›PMID 39935997›Full record

ArticleSaudi journal of medicine & medical sciences

Accuracy of Abbreviated Breast MRI in Diagnosing Breast Cancer in Women with Dense Breasts Compared with Standard Imaging Modalities.

Areej S Aloufi, Nuha Khoumais, Fayka Ahmed, Sara Hosawi, Sameera Sulimani, Deema Abunayyan, Fadiah Alghamdi, Samar Alshehri, Malak Alsaeed, Rasha Sahloul and 3 more

Abstract read
In one paragraph

Article in Saudi journal of medicine & medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Areej S AloufiDivision of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Nuha KhoumaisDepartment of Breast Imaging, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Fayka AhmedDepartment of Breast Imaging, King Saud Medical City, Riyadh, Saudi Arabia.
Sara HosawiDepartment of Breast Imaging, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Sameera SulimaniDepartment of Breast Imaging, King Fahad Hospital, Madina, Saudi Arabia.
Deema AbunayyanDepartment of Breast Imaging, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Fadiah AlghamdiDepartment of Breast Imaging, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Samar AlshehriDepartment of Breast Imaging, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Malak AlsaeedDepartment of Breast Imaging, Prince Sultan Military Medical City, Riyadh, Saudi Arabia.
Rasha SahloulDepartment of Breast Imaging, Specialized Medical Center Hospital, Riyadh, Saudi Arabia.
Reem SabirDepartment of Radiology, King Saud University Medical City, Riyadh, Saudi Arabia.
Elaine F HarknessDivision of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Susan M AstleyDivision of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast density is an independent risk factor for breast cancer and affects the sensitivity of mammography screening. Therefore, new breast imaging approaches could benefit women with increased breast density in early cancer detection and diagnosis. Objectives: To assess the diagnostic performance of abbreviated breast MRI compared with mammography and other imaging modalities in screening and diagnosing breast cancer among Saudi women with dense breast tissue. Methods: A retrospective diagnostic study was conducted using anonymized medical images and histopathology information from 55 women, aged ≥30 years, who had dense breasts (Breast Imaging and Reporting Data System [BI-RADS] breast density categories C and D) and an abnormal mammogram. The sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated for mammography, digital breast tomosynthesis (DBT), synthetic mammography (SM) derived from DBT, ultrasound, and abbreviated breast MRI (ABMRI). Results: A total of 19 women had pathology-proven breast cancer. Among all methods, ABMRI showed the highest sensitivity (94.7%) and specificity (58.3%), while mammography showed the lowest (84.2% and 44.4%, respectively). AUC for ABMRI was higher than all the methods including mammography (0.751 vs. 0.643; Conclusion: ABMRI appears to be more accurate in cancer diagnosis than mammography and other modalities for women with dense breast tissue. Further research is advised on a larger sample of Saudi women to confirm the benefit of ABMRI in breast cancer screening and diagnosis for women with increased breast density.

Indexed as

Abbreviated breast MRIbreast cancerbreast densitydiagnostic accuracymammographySaudi Arabia

Identifiers

PMID39935997
PMCPMC11809753

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.