Predicting postoperative malignancy upgrading in B1-B3 breast lesions: combined utility of conventional ultrasound and contrast-enhanced ultrasound features.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
추출되지 않음
I · Intervention 중재 / 시술
US, CEUS, CEUS-guided CNB and surgery were collected from February 2023 to February 2025, retrospectively
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] Both conventional US and CEUS can provide useful information for postoperative malignancy upgrading in B1-B3 lesions. The integration of them improved the predictive performance.
[BACKGROUND] While conventional ultrasound (US)-guided core needle biopsy (CNB) is routinely used for preoperative diagnosis of breast lesions, it is susceptible to false negatives and underestimation
- p-value P=0.011
- p-value P=0.009
- 95% CI 2.03-150.02
- OR 17.44
APA
Zhang YL, Yao J, et al. (2026). Predicting postoperative malignancy upgrading in B1-B3 breast lesions: combined utility of conventional ultrasound and contrast-enhanced ultrasound features.. Quantitative imaging in medicine and surgery, 16(4), 297. https://doi.org/10.21037/qims-2025-1-2678
MLA
Zhang YL, et al.. "Predicting postoperative malignancy upgrading in B1-B3 breast lesions: combined utility of conventional ultrasound and contrast-enhanced ultrasound features.." Quantitative imaging in medicine and surgery, vol. 16, no. 4, 2026, pp. 297.
PMID
41972079
Abstract
[BACKGROUND] While conventional ultrasound (US)-guided core needle biopsy (CNB) is routinely used for preoperative diagnosis of breast lesions, it is susceptible to false negatives and underestimation, especially in B1-B3 categories, making accurate diagnosis a significant clinical challenge. This study aimed to explore the conventional US and contrast-enhanced ultrasound (CEUS) features that predict postoperative malignancy upgrading of category B1-B3 breast lesions diagnosed by CEUS-guided CNB.
[METHODS] A total of 84 breast lesions that underwent US, CEUS, CEUS-guided CNB and surgery were collected from February 2023 to February 2025, retrospectively. The malignancy upgrading was defined as CNB showing a B1-B3 classification, but surgical pathology showing a B5 classification. Uni-variable analysis compared US and CEUS features between non-upgrading and upgrading groups, and significant features were entered into multi-variable logistic regression. The performances of each independent predictor and their combinations were evaluated using receiver operating characteristic curve analysis.
[RESULTS] Thirteen B1-B3 lesions were upgraded to B5 lesions. The multivariate analysis showed that size >20 mm on conventional US [odds ratio (OR) =5.85; 95% confidence interval (CI): 1.49-22.92; P=0.011], and enlarged enhancement range on CEUS (OR =17.44; 95% CI: 2.03-150.02; P=0.009) were independent predictors. The multi-variable model incorporating these two features yielded an area under the curve (AUC) of 0.83 and showed significantly higher predictive efficiency than size >20 mm (AUC =0.68) and enlarged enhancement range (AUC =0.74) (P=0.027 and P=0.013, respectively).
[CONCLUSIONS] Both conventional US and CEUS can provide useful information for postoperative malignancy upgrading in B1-B3 lesions. The integration of them improved the predictive performance.
[METHODS] A total of 84 breast lesions that underwent US, CEUS, CEUS-guided CNB and surgery were collected from February 2023 to February 2025, retrospectively. The malignancy upgrading was defined as CNB showing a B1-B3 classification, but surgical pathology showing a B5 classification. Uni-variable analysis compared US and CEUS features between non-upgrading and upgrading groups, and significant features were entered into multi-variable logistic regression. The performances of each independent predictor and their combinations were evaluated using receiver operating characteristic curve analysis.
[RESULTS] Thirteen B1-B3 lesions were upgraded to B5 lesions. The multivariate analysis showed that size >20 mm on conventional US [odds ratio (OR) =5.85; 95% confidence interval (CI): 1.49-22.92; P=0.011], and enlarged enhancement range on CEUS (OR =17.44; 95% CI: 2.03-150.02; P=0.009) were independent predictors. The multi-variable model incorporating these two features yielded an area under the curve (AUC) of 0.83 and showed significantly higher predictive efficiency than size >20 mm (AUC =0.68) and enlarged enhancement range (AUC =0.74) (P=0.027 and P=0.013, respectively).
[CONCLUSIONS] Both conventional US and CEUS can provide useful information for postoperative malignancy upgrading in B1-B3 lesions. The integration of them improved the predictive performance.
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