The association between conventional ultrasound and contrast-enhanced ultrasound appearances and pathological features in small breast cancer

Encapsulated papillary carcinoma of breast: Comparative study of multimodal ultrasound manifestations and pathological features

ObjectiveTo investigate the conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) manifestations and the corresponding histopathological characteristics of patients diagnosed with breast encapsulated papillary carcinoma (EPC) and to explore the value of CEUS in diagnosis of EPC.MethodsThe clinical, pathological, US, and CEUS features of 16 patients (17 lesions) with EPC confirmed by postoperative histopathology were retrospectively analyzed.ResultsEPC was prevalent in the postmenopausal women. The majority of conventional US images of EPC showed complex cystic and solid masses with circumscribed margins (70.6%), enhanced posterior echo (94.1%), no sonographic calcification (88.2%), rich blood flow in the solid components within lesions (70.6%) on Color Doppler flow imaging, and high resistance index of blood flow (94.1%). Moreover, CEUS showed mainly centripetal hyperenhancement of the solid components within the lesions with irregular outline, and the enhancement area of the whole masses was essentially the same as the B-mode US area.ConclusionsEPC typically presents as a complex cystic and solid mass. CEUS is helpful to clarify the extent of the solid component and facilitate preoperative core-needle biopsy. A comprehensive evaluation by CEUS is valuable for diagnosing EPC and combining it with clinical features are helpful to further improve the diagnosis of this rare kind of breast cancer.

Encapsulated papillary carcinoma of breast: Comparative study of multimodal ultrasound manifestations and pathological features

OBJECTIVE

To investigate the conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) manifestations and the corresponding histopathological characteristics of patients diagnosed with breast encapsulated papillary carcinoma (EPC) and to explore the value of CEUS in diagnosis of EPC.

METHODS

The clinical, pathological, US, and CEUS features of 16 patients (17 lesions) with EPC confirmed by postoperative histopathology were retrospectively analyzed.

RESULTS

EPC was prevalent in the postmenopausal women. The majority of conventional US images of EPC showed complex cystic and solid masses with circumscribed margins (70.6%), enhanced posterior echo (94.1%), no sonographic calcification (88.2%), rich blood flow in the solid components within lesions (70.6%) on Color Doppler flow imaging, and high resistance index of blood flow (94.1%). Moreover, CEUS showed mainly centripetal hyperenhancement of the solid components within the lesions with irregular outline, and the enhancement area of the whole masses was essentially the same as the B-mode US area.

CONCLUSIONS

EPC typically presents as a complex cystic and solid mass. CEUS is helpful to clarify the extent of the solid component and facilitate preoperative core-needle biopsy. A comprehensive evaluation by CEUS is valuable for diagnosing EPC and combining it with clinical features are helpful to further improve the diagnosis of this rare kind of breast cancer.

Multimodal ultrasonic manifestations of secretory carcinoma of the breast

 Secretory carcinoma of the breast (SCB) is a rare and specific type of breast cancer. Owing to its rarity, the number of SCB reports available is limited, with most of them focusing on clinical and pathological characteristics but no reports on its multimodal ultrasound (US) features. Thus, we present a rare case of SCB, retrospectively analyzing manifestations of US and contrast-enhanced US, as well as its pathological basis, aiming to enhance the understanding of US image features of SCB and provide more valuable information for clinical diagnosis. Moreover, the treatment strategy adopted for this patient may serve as a template for future management of SCB.

Correlation between conventional ultrasound features combined with contrast-enhanced ultrasound patterns and pathological prognostic factors in malignant non-mass breast lesions

OBJECTIVE

To investigate the correlation between ultrasound performance and prognostic factors in malignant non-mass breast lesions (NMLs).

MATERIALS AND METHODS

This study included 106 malignant NMLs in 104 patients. Different US features and contrast enhancement patterns were evaluated. Prognostic factors, including histological types and grades, axillary lymph node and peritumoral lymphovascular status, estrogen and progesterone receptor status and the expression of HER-2 and Ki-67 were determined. A chi-square test and logistic regression analysis were used to analyse possible associations.

RESULTS

Lesion size (OR: 3.08, p = 0.033) and posterior echo attenuation (OR: 8.38, p < 0.001) were useful in reflecting malignant NMLs containing an invasive carcinoma component. Posterior echo attenuation (OR: 7.51, p = 0.003) and unclear enhancement margin (OR: 6.50, p = 0.018) were often found in tumors with axillary lymph node metastases. Peritumoural lymphovascular invasion mostly exhibited posterior echo attenuation (OR: 3.84, p = 0.049) and unclear enhancement margin (OR: 8.68, p = 0.042) on ultrasound images. Perfusion defect was a comparatively accurate enhancement indicator for negative ER (OR: 2.57, p = 0.041) and PR (OR: 3.04, p = 0.008) expression. Calcifications (OR: 3.03, p = 0.025) and enlarged enhancement area (OR: 5.36, p = 0.033) imply an increased risk of positive HER-2 expression. Similarly, Calcifications (OR: 4.13, p = 0.003) and enlarged enhancement area (OR: 11.05, p < 0.001) were valid predictors of high Ki-67 proliferation index.

CONCLUSION

Ultrasound performance is valuable for non-invasive prediction of prognostic factors in malignant NMLs.

Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis

OBJECTIVES

The goal of this study was to assess the clinicopathological and ultrasound (US) features of breast cancer for predicting the risk of axillary lymph node metastasis.

METHODS

Patients with breast cancer were included in this retrospective, monocentric, observational study. Their preoperative ultrasound features, clinical data, laboratory results and postoperative pathologic results and immunophenotyping were collected. The association of these factors of breast cancer with axillary lymph node metastasis was evaluated by univariate and multivariate analysis.

RESULTS

In this study, 471 patients diagnosed with breast cancer at the First Affiliated Hospital of Xi'an Jiaotong University between July 2016 and September 2019 were collected, with a total of 471 nodules, of which 231(49.0%) had axillary lymph node metastasis, and 240(51.0%) did not. The parameters of hyperechoic halo, posterior acoustic decrease, microcalcification, carcinogenic embryonic antigen (CEA), cancer antigen-153 (CA153), CK5/6 (+), Ki67 (≥40%), AR (+) and histological grade (grade II and grade III) were significantly and independently associated with axillary lymph node metastasis (p < 0.05 for all).

CONCLUSIONS

The combination of ultrasound features, tumor markers, pathology, and immunohistochemistry can predict axillary lymph node metastasis in breast cancer patients.

Accuracy of conventional ultrasound, contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging in assessing the size of breast cancer

OBJECTIVE

This study was performed to investigate the accuracy of conventional ultrasound (US), contrast-enhanced US (CEUS), and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in assessing the size of breast cancer.

METHODS

In total, 49 breast cancer lesions of 48 patients were included in this study. The inclusion criteria were the performance of total mastectomy or breast-conserving surgery for treatment of breast cancer in our hospital from January 2017 to December 2020 with complete pathological results, as well as the performance of conventional US, CEUS, and DCE-MRI examinations with complete results. The exclusion criteria were non-mass breast cancer shown on conventional US or DCE-MRI, including that found on CEUS with no boundary with surrounding tissues and no confirmed tumor scope; a tumor too large to be completely displayed in the US section, thus affecting the measurement results; the presence of two nodules in the same breast that were too close to each other to be distinguished by any of the three imaging methods; and treatment with preoperative chemotherapy. Preoperative conventional US, CEUS, and DCE-MRI examinations were performed. The postoperative pathological results were taken as the gold standard. The lesion size was represented by its maximum diameter. The accuracy, overestimation, and underestimation rates of conventional US, CEUS, and DCE-MRI were compared.

RESULTS

The maximum lesion diameter on US, CEUS, DCE-MRI and pathology were 1.62±0.63 cm (range, 0.6-3.5 cm), 2.05±0.75 cm (range, 1.0-4.0 cm), 1.99±0.74 cm (range, 0.7-4.2 cm) and 1.92±0.83 cm (range, 0.5-4.0 cm), respectively. The lesion size on US was significantly smaller than that of postoperative pathological tissue (P <  0.05). However, there was no significant difference between the CEUS or DCE-MRI results and the pathological results. The underestimation rate of conventional US (55.1%, 27/49) was significantly higher than that of CEUS (20.4%, 10/49) and DCE-MRI (24.5%, 12/49) (P <  0.001 and P = 0.002, respectively). There was no significant difference in the accuracy of CEUS (36.7%, 18/49) and DCE-MRI (34.7%, 17/49) compared with conventional US (26.5%, 13/49); however, the accuracy of both groups tended to be higher than that of conventional US. The overestimation rate of CEUS (42.9%, 21/49) and DCE-MRI (40.8%, 20/49) was significantly higher than that of conventional US (18.4%, 9/49) (P = 0.001 and P = 0.015, respectively).

CONCLUSIONS

CEUS and DCE-MRI show similar performance when evaluating the size of breast cancer. However, CEUS is more convenient, has a shorter operation time, and has fewer restrictions on its use. Notably, conventional US is more prone to underestimate the size of lesions, whereas CEUS and DCE-MRI are more prone to overestimate the size.