Related Experiment Video For ACR
Updated: May 4, 2026

Clinical Imaging of Microwave Mammography
Published on: November 14, 2025
[Performance of users in tropical areas with the BI-RADS classification of breast lesions for predicting malignancy]
J E Gonsu Kamga1, B Moifo2, Z Sando3
1Faculté de médecine et des sciences biomédicales, université de Yaoundé I.
Objectives:
To evaluate the diagnostic performance of radiologists in Cameroon using the BI-RADS classification to interpret mammograms and ultrasound scans together for the prediction of malignant breast lesions.
Methods:
This cross-sectional study took place at the Women's and Children's Hospital in Yaounde from July 2009 to April 2010 and included 211 women with breast lesions identified on mammograms during a breast screening campaign and subsequently assessed with ultrasonography and histology. The BI-RADS classifications of these lesions were compared to the corresponding histology results to evaluate the accuracy of predictions of malignancy from the mammograms and ultrasound scans interpreted with the BI-RADS system. The rate of malignancy in each ACR-classified category was also compared to the standard ACR categories as stipulated in the ACR classification.
Results:
In all, 339 women aged from 16 to 78 years were screened, and lesions requiring biopsies were identified for 211. The age group included most often was the 41-50 year-old group (n = 98, 46.4%). Overall, 135 (64%) women had benign lesions and 76 (36%) malignant. Invasive carcinoma was found in 49 (65%) of the malignant lesions, in situ intraductal carcinoma in 23 (30%), and sarcoma in 4 (5%). Based on the BI-RADS classification, 124 (58.7%) breast lesions were classified as ACR2, 15 (7.1%) as ACR3, 44 (20.8%) as ACR4, and 28 (13.3%) as ACR5. Comparison of the BI-RADS classification and the histological findings showed that 19% of ACR2-classified lesions were malignant, 13% of those classified ACR3, 66% ACR4, and 75% ACR5. The global accuracy in the prediction of malignancy the BI-RADS classification was 77.3%.
Conclusion:
The accuracy of the radiologists using the BI-RADS classification in our hospital was good at 77.3%, although shortcomings in the evaluation and interpretation of some lesions resulted in a relatively high prevalence of malignant lesions in categories ACR2 and ACR3.
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