Evidence map›Paper›PMID 41497117›Full record

ArticleAnnals of medicine and surgery (2012)2026

Evaluation of the diagnostic accuracy of mammography and ultrasonography for breast cancer diagnosis using histopathology as the reference standard: a cross-sectional study.

Sultan A Alotaibi, Awadia Gareeballah, Jawwad Sami Ur Rahman, Wael A Faqihi, Sara Ali, Meaad Elbashir, Nisreen Haj, Kawthar Mohammed Sharief Abdulrhman, Raga Ahmed Abouraida Ahmed, Ahmed Hazazi and 1 more

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Sultan A AlotaibiDepartment of Radiological Sciences and Medical Imaging, College of Applied Medical Sciences, Majmaah University, Al Majmaah, Saudi Arabia.
Awadia GareeballahDepartment of Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Al-Madinah al-Munawwarah, Saudi Arabia.
Jawwad Sami Ur RahmanDepartment of Biomedical Engineering, Riphah International University, Islamabad, Pakistan.
Wael A FaqihiDepartment of Radiological Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia.
Sara AliDiagnostic Radiography Technology Department, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Meaad ElbashirDiagnostic Radiography Technology Department, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Nisreen HajDepartment of Radiology, Alghad College for Applied Medical Science, Riyadh, Saudi Arabia.
Kawthar Mohammed Sharief AbdulrhmanDepartment of Radiology, Alghad College for Applied Medical Science, Riyadh, Saudi Arabia.
Raga Ahmed Abouraida AhmedDepartment of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Ahmed HazaziDepartment of Public Health, Faculty of Health Science, Saudi Electronic University, Riyadh, Saudi Arabia‬‏‏.
Babar AliDepartment of Research, Medical Research Circle, Bukva, DR Congo.ORCID https://orcid.org/0000-0003-1798-0474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Breast cancer remains the most common malignancy and the leading cause of cancer-related death among women globally, especially in low- and middle-income countries. Early and accurate diagnosis is critical to improving survival outcomes. This study compares the diagnostic accuracy of ultrasonography and mammography in detecting breast carcinoma, using histopathology as the gold standard. Methods: A cross-sectional descriptive study was conducted in a radiology department at a tertiary care hospital, including 240 female patients presenting with clinically palpable breast lesions. Each participant underwent both mammography and ultrasonography prior to biopsy. Data collection included lesion characteristics, imaging findings, and histopathological results. Diagnostic performance was evaluated using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy. Results: Ultrasound demonstrated a consistent diagnostic accuracy of 86.3% in both breasts, with high NPVs (≥95.7%) and good sensitivity in dense tissue. Mammography showed variability between sides: accuracy was 81.7% on the right and 94.6% on the left, with left-sided sensitivity reaching 100%. Ultrasound was more effective in identifying hyperechoic lesions and smooth margins, while mammography was superior in detecting calcifications and architectural distortions. Statistical testing confirmed significant associations ( Conclusion: This study highlights the complementary diagnostic value of ultrasonography and mammography in the evaluation of breast carcinoma. Ultrasound demonstrated consistent diagnostic accuracy and strong NPV, making it particularly valuable in premenopausal women and those with dense breast tissue. Mammography, on the other hand, showed superiority in detecting microcalcifications and subtle architectural distortions, underscoring its indispensable role in identifying ductal carcinoma

Indexed as

BI-RADSbreast cancerdiagnostic accuracyhistopathologymammographyultrasonography

Identifiers

PMID41497117
PMCPMC12768151

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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.