AI Article Synopsis
- The study aimed to create a nomogram using R software to downgrade patients classified as BI-RADS 4A, which indicates a moderate suspicion of malignancy.
- Researchers analyzed 1,717 patients and identified 458 BI-RADS 4A patients whose data were used to determine the factors influencing benign versus malignant tumors.
- The results showed that 59.6% of the patients could be safely downgraded to a lower risk category, significantly improving diagnostic metrics such as sensitivity, specificity, and accuracy while minimizing unnecessary biopsies.
Article Abstract
Objectives: To downgrade BI-RADS 4A patients by constructing a nomogram using R software.
Materials And Methods: A total of 1,717 patients were retrospectively analyzed who underwent preoperative ultrasound, mammography, and magnetic resonance examinations in our hospital from August 2019 to September 2020, and a total of 458 patients of category BI-RADS 4A (mean age, 47 years; range 18-84 years; all women) were included. Multivariable logistic regression was used to screen out the independent influencing parameters that affect the benign and malignant tumors, and the nomogram was constructed by R language to downgrade BI-RADS 4A patients to eligible category.
Results: Of 458 BI-RADS 4A patients, 273 (59.6%) were degraded to category 3. The malignancy rate of these 273 lesions is 1.5% (4/273) (<2%), and the sensitivity reduced to 99.6%, the specificity increased from 4.41% to 45.3%, and the accuracy increased from 63.4% to 78.8%.
Conclusion: By constructing a nomogram, some patients can be downgraded to avoid unnecessary biopsy.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828585 | PMC |
| http://dx.doi.org/10.3389/fonc.2022.807402 | DOI Listing |
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