BACKGROUND:The response of primary breast cancer to chemotherapy is usually expressed either as a pathological complete remission (pCR) or as 'no pCR'. A more quantitative measure is called for. PATIENTS AND METHODS:The 'neoadjuvant response index' (NRI) was calculated by adding a breast response score (a number from a five-point scale) to an axillary response score (a number from a three-point scale) and dividing this by the score that would have been obtained in case of a pCR in both breast and axilla. Consequently, the NRI is a number between 0 (representing no response) and 1 (a pCR of both breast and axilla). RESULTS:The NRI was calculated in 267 patients who had received neoadjuvant chemotherapy. The average NRI was 0.48 (median 0.40). Forty-one patients (15%) had an NRI of 0; 55 patients (21%) had an NRI of 1 (pCR). 'Highly endocrine responsive' tumors responded substantially less than 'incompletely endocrine responsive' ones. In triple negatives, an NRI of >0.70 was associated with a better recurrence-free survival than a lower NRI. CONCLUSIONS:The NRI proposed here may be useful to better reflect the efficacy of neoadjuvant systemic regimens than the binary pCR-'no pCR' system.

OBJECTIVE:To determine whether preoperative classification of breast edema on T2-weighted imaging (T2WI) is useful for predicting sentinel lymph node (SLN) metastasis and biological behavior in patients with early-stage breast cancer. METHODS:This retrospective study involved 341 women with breast cancer who underwent breast MRI from January 2019 to March 2022. Breast edema was scored on a scale of 1-4 on T2WI (1, no edema; 2, peritumoral edema; 3, prepectoral edema; and 4, subcutaneous edema). A logistic regression model was employed for univariate and multivariate analyses. A clinicopathological model was established using independent influencing factors identified in the multivariate analyses, excluding breast edema score (BES). Subsequently, BES was incorporated into this model to establish a combined BES model. The AUC and Delong test were used to examine the additional predictive value of the BES. RESULTS:Logistic regression analysis showed that breast edema was an independent risk factor for SLN metastasis. The combined BES model significantly improved the predictive performance of SLN metastasis compared with the clinicopathological model alone (AUC, 0.77 vs. 0.71; p=0.005). In addition, the BES was significantly positively correlated with the tumor diameter (p<0.001), histologic grade (p=0.001), Ki-67 index (p<0.001), and non-luminal subtypes (p<0.001). CONCLUSION:The BES on T2WI is useful for predicting SLN metastasis. A higher grade of breast edema is associated with breast cancer aggressiveness and increases the probability of SLN metastasis.

AIM:To evaluate the prognostic value of background parenchymal enhancement (BPE) in breast magnetic resonance imaging (MRI) in women referred to radiological department as a high risk for breast cancer. MATERIALS AND METHODS:A retrospective, cross-sectional study included 327 consecutive patients (mean age: 60 years, age range: 30-90 years) who underwent breast MRI and tissue biopsy between 2007 and 2016. All MRI images (T1, T2, and subtraction images) were evaluated visually. The relationship of BPE with patient age, fibroglandular tissue (FGT), Breast Imaging Reporting and Data System (BIRADS) categories, presence of breast cancer, and expression of human epidermal growth factor receptor 2 (HER2), progesterone receptor (PR), oestrogen receptor (ER), and Ki67 were analysed. Furthermore, all variables were correlated with pre- and postmenopausal status. RESULTS:BPE of bilateral breast showed a weak correlation with FGT (right BPE: r=-0.14, p=0.004; left BPE: r=0.16, p=0.003), a weak negative correlation with patient age (right BPE: r=-0.14, p=0.007; left BPE: r=-0.15, p=0.006), and significant correlation with HER2 (right BPE, p=0.02), left BPE with HER2 was not significant. Among the correlations between BPE and BIRADS, only between right BPE and right BIRADS was significant (p=0.031). No clear evidence of an association between breast MRI BPE and breast cancer in premenopausal and postmenopausal status was observed, and no difference was found between the right and left breasts. CONCLUSIONS:The results of the present study showed no significant correlations between BPE and breast cancer. In addition, there was no significant difference between the right and left breast. Hence, BPE of MRI may not be a reliable biomarker of breast cancer development.

AIM:To assess whether ultrasound features of breast cancer are associated with breast cancer specific survival (BCSS). MATERIALS AND METHODS:Within a single breast service, data was collected prospectively (April 2010-April 2012) from 319 consecutive women (mean age 63 years) with 335 ultrasound-visible invasive breast cancers. Ultrasound features were evaluated retrospectively from the recorded images according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon by a radiologist blinded to outcomes. Survival and cause of death were ascertained from local and national sources. Kaplan-Meier survival curves were generated, and statistical significance tested using the log-rank test. RESULTS:Mean follow-up in those alive was 80.9 months. Thirty breast cancer deaths and 45 non-breast cancer deaths occurred. Five-year BCSS in the presence of distal acoustic enhancement was 76% compared to 88%, 96%, and 100% for those with distal shadowing, no distal effect or combined effect respectively (p<0.0002). Patients with sonographic skin involvement had 73% 5-year BCSS compared to 92% for no skin involvement (p<0.0001). Focal oedema was associated with 56% 5-year BCSS compared to 89% for those without (p=0.0002). A significant association was demonstrated between ultrasound tumour size and BCSS (p<0.0001). At multivariate analysis, skin changes, distal enhancement, and focal oedema maintained prognostic significance. CONCLUSION:Distal enhancement, focal oedema, and skin involvement have strong associations with breast cancer death. These factors could be taken into account, along with lesion size and other commonly used preoperative prognostic features, when considering management of women with breast cancer.