Recurrent Mastitis after Core Needle Biopsy: Case Report of an Unusual Complication after Core Needle Biopsy of a Phyllodes Tumor

Prediction of Receptor Status in Radiomics: Recent Advances in Breast Cancer Research

Breast cancer is a multifactorial heterogeneous disease and the leading cause of cancer-related deaths in women; its diagnosis and treatment require clinical sensitivity and a comprehensive disciplinary research approach. The expression of different receptors on tumor cells not only provides the basis for molecular typing of breast cancer but also has a decisive role in the diagnosis, treatment, and prognosis of breast cancer. To date, immunohistochemistry (IHC), which uses invasive histological sampling, has been extensively used in clinical practice to analyze the status of receptors and to make an accurate diagnosis of breast cancer. As an invasive assay, IHC can provide important biological information on tumors at a single point in time, but cannot predict future changes (due to treatment or tumor mutations) without additional invasive procedures. These issues highlight the need to develop a non-invasive method for predicting receptor status. The emerging field of radiomics may offer a non-invasive approach to identification of receptor status without requiring biopsy. In this paper, we present a review of the latest research results in radiomics for predicting the status of breast cancer receptors, with potential important clinical applications.

Radiomics Signatures Based on Multiparametric MRI for the Preoperative Prediction of the HER2 Status of Patients with Breast Cancer

OBJECTIVES

The aim of our study was to preoperatively predict the human epidermal growth factor receptor 2 (HER2) status of patients with breast cancer using radiomics signatures based on single-parametric and multiparametric magnetic resonance imaging (MRI).

METHODS

Three hundred six patients with invasive ductal carcinoma of no special type (IDC-NST) were retrospectively enrolled. Quantitative imaging features were extracted from fat-suppressed T2-weighted and dynamic contrast-enhanced T1 weighted (DCE-T1) preoperative MRI. Then, three radiomics signatures based on fat-suppressed T2-weighted images, DCE-T1 images and their combination were developed using a support vector machine (SVM) to predict the HER2-positive vs HER2-negative status of patients with breast cancer. The area under the curve (AUC), accuracy, sensitivity, and specificity were calculated to assess the predictive performances of the signatures.

RESULTS

Twenty-eight quantitative radiomics features, namely, 14 texture features, 4 first-order features, 9 wavelet features, and 1 shape feature, were used to construct radiomics signatures. The performance of the radiomics signatures for distinguishing HER2-positive from HER2-negative breast cancer based on fat-suppressed T2-weighted images, DCE-T1 images, and their combination had an AUC of 0.74 (95% confidence interval [CI], 0.700 to 0.770), 0.71 (0.673 to 0.738), and 0.86 (0.832 to 0.882) in the primary cohort and 0.70 (0.666 to 0.744), 0.68 (0.650 to 0.726), and 0.81 (0.776 to 0.837) in the validation cohort, respectively.

CONCLUSION

Radiomics signatures based on multiparametric MRI represent a potential and efficient alternative tool to evaluate the HER2 status in patients with breast cancer.

Breast Lesions during Pregnancy - a Diagnostic Challenge: Case Report

BACKGROUND

Palpable masses of the breast often occur during pregnancy and should be further investigated. The standard diagnostic during pregnancy is an ultrasound combined, if needed, with a core needle biopsy. Most lesions are benign in younger women but, nevertheless, the incidence of pregnancy-associated breast cancer is 1 in 3,000 deliveries and rising.

CASE REPORT

We report the case of a 24-year-old patient diagnosed with a palpable breast lesion at 37 weeks of gestation. An ultrasound was performed and the lesion was rated BI-RADS 4. The initial core needle biopsy showed a ductal carcinoma in situ. After delivery and ablactating, a mammography, breast magnetic resonance imaging and a second ultrasound-guided biopsy was performed. Due to the inconclusive imaging and histological results, a wide excision was performed and a juvenile papillomatosis was confirmed. No further resection was necessary as the initial margins were sufficient.

CONCLUSION

This case suggests that the diagnosis of masses of the breast during pregnancy and lactation can be quite difficult. Diagnosis should be confirmed by an excision biopsy and by histological examination through an experienced pathologist. As a significant proportion of papillomas contain malignant regions, an argument exists for the complete excision of all papillary tumours.