To evaluate the predictive value of conventional ultrasound combined with contrast-enhanced ultrasound for efficacy of neoadjuvant chemotherapy
(NAC) in breast cancer to guide the selection of NAC evaluation method.
Methods:
Sixty- nine patients with breast cancer who underwent NAC in Lanzhou University Second Hospital were enrolled. All patients underwent conventional ultrasound and contrast-enhanced ultrasound before chemotherapy and underwent 6-8 cycles of NAC after surgery. Univariate analysis was used to compare the characteristics of conventional ultrasound and contrast-enhanced ultrasound before NAC between the two groups. Logistic multivariate analysis was used to analyze the independent predictors of the efficacy of breast cancer NAC and the receiver operating characteristic (ROC) curve of the prediction model was established.
Results:
Among the 69 patients
54 (78.26%) were pathologically effective and 15 (21.74%) were not. Univariate analysis showed that edge burr
posterior echo attenuation
enhancement pattern
and enlarged lesion area after enhancement were correlated with the efficacy of NAC (
χ
2
=4.438
P
=0.035;
χ
2
=4.193
P
=0.041;
χ
2
=4.277
P
=0.039;
χ
2
=4.334
P
=0.037). The above indicators were included in binary logistic regression analysis
which showed that no attenuation of the echo behind the lesion and no expansion of the lesion after contrast-enhanced ultrasound were effective independent predictors of NAC pathology. The prediction model was constructed based on the parameters of posterior echo attenuation and lesion range after angiography
and the diagnostic performance of the model was high (area under curve was 0.759
sensitivity was 46.3%
specificity was 100.0%).
Conclusion:
Conventional ultrasound and contrast-enhanced ultrasound can predict the pathological efficacy of breast cancer NAC. The prediction model has high predictive ability
which has guiding significance for the clinical diagnosis and treatment of breast cancer NAC.