Retroareolar Carcinomas in Breast Ultrasound: Pearls and Pitfalls

The application of computer-aided diagnosis in Breast Imaging Reporting and Data System ultrasound training for residents-a randomized controlled study

Background

The consistency of Breast Imaging Reporting and Data System (BI-RADS) classification among experienced radiologists is different, which is difficult for inexperienced radiologists to master. This study aims to explore the value of computer-aided diagnosis (CAD) (AI-SONIC breast automatic detection system) in the BI-RADS training for residents.

Methods

A total of 12 residents who participated in the first year and the second year of standardized resident training in Ningbo No. 2 Hospital from May 2020 to May 2021 were randomly divided into 3 groups (Group 1, Group 2, Group 3) for BI-RADS training. They were asked to complete 2 tests and questionnaires at the beginning and end of the training. After the first test, the educational materials were given to the residents and reviewed during the breast imaging training month. Group 1 studied independently, Group 2 studied with CAD, and Group 3 was taught face-to-face by experts. The test scores and ultrasonographic descriptors of the residents were evaluated and compared with those of the radiology specialists. The trainees' confidence and recognition degree of CAD were investigated by questionnaire.

Results

There was no statistical significance in the scores of residents in the first test among the 3 groups (P=0.637). After training and learning, the scores of all 3 groups of residents were improved in the second test (P=0.006). Group 2 (52±7.30) and Group 3 (54±5.16) scored significantly higher than Group 1 (38±3.65). The consistency of ultrasonographic descriptors and final assessments between the residents and senior radiologists were improved (κ3 > κ2 > κ1), with κ2 and κ3 >0.4 (moderately consistent with experts), and κ1 =0.225 (fairly agreed with experts). The results of the questionnaire showed that the trainees had increased confidence in BI-RADS classification, especially Group 2 (1.5 to 3.5) and Group 3 (1.25 to 3.75). All trainees agreed that CAD was helpful for BI-RADS learning (Likert scale score: 4.75 out of 5) and were willing to use CAD as an aid (4.5, max. 5).

Conclusions

The AI-SONIC breast automatic detection system can help residents to quickly master BI-RADS, improve the consistency between residents and experts, and help to improve the confidence of residents in the classification of BI-RADS, which may have potential value in the BI-RADS training for radiology residents.

Trial Registration

Chinese Clinical Trial Registry (ChiCTR2400081672).

Nipple-sparing Mastectomy: What the Radiologist Should Know

Nipple-sparing mastectomy (NSM) is increasingly offered to patients undergoing treatment of breast cancer and prophylaxis treatment for reduction of breast cancer risk. NSM is considered oncologically safe for appropriately selected patients and is associated with improved cosmetic outcomes and quality of life. Accepted indications for NSM have expanded in recent years, and currently only inflammatory breast cancer or malignancy involving the nipple is considered an absolute contraindication. Neoplasms close to and involving the nipple areolar complex are common, and cancer of the lactiferous ducts can spread to the nipple. Therefore, accurate determination of nipple involvement at imaging examinations is critical to identifying appropriate candidates for NSM and preventing local recurrence. Multiple imaging features have been described as predictors of nipple involvement, with tumor to nipple distance, enhancement between the index malignancy and the nipple, and nipple retraction demonstrating the highest predictive values. These features can be assessed at multimodality breast imaging, particularly at breast MRI, which demonstrates high specificity and negative predictive value for determining nipple involvement in malignancy. Online supplemental material is available for this article. ^©RSNA, 2022.

Microwave Imaging in Breast Cancer - Results from the First-In-Human Clinical Investigation of the Wavelia System

RATIONALE AND OBJECTIVES

Microwave Breast Imaging (MBI) is an emerging non-ionising technology with the potential to detect breast pathology. The investigational device considered in this article is a low-power electromagnetic wave MBI prototype that demonstrated the ability to detect dielectric contrast between tumour phantoms and synthetic fibroglandular tissue in preclinical studies. Herein, we evaluate the MBI system in the clinical setting. The capacity of the MBI system to detect and localise breast tumours in addition to benign breast pathology is assessed. Secondly, the safety profile and patient experience of this device is established.

MATERIALS AND METHODS

Female patients were recruited from the symptomatic unit to 1 of 3 groups: Biopsy-proven breast cancers (Group-1), unaspirated cysts (Group-2) and biopsy-proven benign breast lesions (Group-3). Breast Density was determined by Volpara VDM (Volumetric Density Measurement) Software. MBI, radiological, pathological and histological findings were reviewed. Subjects were surveyed to assess patient experience.

RESULTS

A total of 25 patients underwent MBI. 24 of these were included in final data analysis (11 Group-1, 8 Group-2 and 5 Group-3). The MBI system detected and localised 12 of 13 benign breast lesions, and 9 out of the 11 breast cancers. This included 1 case of a radiographically occult invasive lobular cancer. No device related adverse events were recorded. 92% (n = 23) of women reported that they would recommend MBI imaging to other women.

CONCLUSION

The MBI system detected and localized the majority of breast lesions. This modality may have the potential to offer a non-invasive, non-ionizing and painless adjunct to breast cancer diagnosis. Further larger studies are required to validate the findings of this study.

Long-Term Oncologic Safety of Nipple-Sparing Mastectomy With Immediate Reconstruction

BACKGROUND

We assessed the long-term oncologic safety of nipple-sparing mastectomy (NSM) compared to skin-sparing mastectomy (SSM) for primary breast cancer patients with immediate reconstruction.

PATIENTS AND METHODS

Data of stage 0-III primary breast cancer patients undergoing NSM (n = 190) or SSM (n = 729) from June 2006 to December 2012 were retrospectively collected. Nipple-tumor distance (NTD) was measured on pretreatment mammography, magnetic resonance imaging, or ultrasonography findings. NSM patients with NTD < 1 cm were excluded. Locoregional recurrence (LRR) rates were compared between groups. Disease-free survival (DFS) and overall survival (OS) according to surgical procedure were assessed.

RESULTS

The median (range) follow-up period for NSM and SSM was 71 (10-131) months and 79 (9-140) months, respectively. LRR developed in 11 patients with invasive ductal carcinoma (5.8%) for NSM and 44 (42 in patients with invasive ductal carcinoma and 2 in patients with ductal carcinoma-in-situ) (6.0%) for SSM. Hormone receptor and HER2 status were not associated with LRR in either group. DFS and OS rates did not differ between groups (DFS: 89.3% for NSM, 89.3% for SSM, P = .87; OS: 98.4% for NSM, 94.5% for SSM, P = .43).

CONCLUSION

NSM with immediate reconstruction was as safe as SSM for primary breast cancer with respect to prognosis and local control, regardless of the presence of invasive carcinoma or breast cancer subtype.