Quantitative Measures of Background Parenchymal Enhancement Predict Breast Cancer Risk.

BACKGROUND. Higher categories of background parenchymal enhancement (BPE) increase breast cancer risk. However, current clinical BPE categorization is subjective. OBJECTIVE. Using a semiautomated segmentation algorithm, we calculated quantitative BPE measures and investigated the utility of individual features and feature pairs in significantly predicting subsequent breast cancer risk compared with radiologist-assigned BPE category. METHODS. In this retrospective case-control study, we identified 95 women at high risk of breast cancer but without a personal history of breast cancer who underwent breast MRI. Of these women, 19 subsequently developed breast cancer and were included as cases. Each case was age matched to four control patients (76 control patients total). Sociodemographic characteristics were compared between the cases and matched control patients using the Mann-Whitney U test. From each dynamic contrast-enhanced MRI examination, quantitative fibroglandular tissue and BPE measures were computed by averaging enhancing voxels above enhancement ratio thresholds (0-100%), totaling the enhancing volume above thresholds (BPE volume in cm3), and estimating the percentage of enhancing tissue above thresholds relative to total breast volume (BPE%) on each gadolinium-enhanced phase. For the 91 imaging features generated, we compared predictive performance using conditional logistic regression with 80:20 hold-out cross validation and ROC curve analysis. ROC AUC was the figure of merit. Sensitivity, specificity, PPV, and NPV were also computed. All feature pairs were exhaustively searched to identify those with the highest AUC and Youden index. A DeLong test was used to compare predictive performance (AUCs). RESULTS. Women subsequently diagnosed with breast cancer were more likely to have mild, moderate, or marked BPE (odds ratio, 3.0; 95% CI, 0.9-10.0; p = .07). According to ROC curve analysis, a BPE category threshold greater than minimal resulted in a maximized AUC (0.62) in distinguishing cases from control patients. Compared with BPE category, the first gadolinium-enhanced (phase 1) BPE% at the 30% and 40% enhancement ratio thresholds yielded significantly higher AUC values of 0.85 (p = .0007) and 0.84 (p = .0004), respectively. Feature combinations showed similar AUC values with improved sensitivity. CONCLUSION. Preliminary data indicate that quantitative BPE measures may outperform radiologist-assigned category in breast cancer risk prediction. CLINICAL IMPACT. Future risk prediction models that incorporate quantitative measures warrant additional investigation.

Mucocele-like lesions diagnosed on breast core biopsy: Low risk of upgrade and subsequent carcinoma.

Mucocele-like lesions of the breast diagnosed on core biopsy are usually excised to exclude the possibility of partial sampling of an invasive mucinous carcinoma. The goal of this study was to correlate the pathologic and radiologic features of mucocele-like lesions to determine if excision is mandatory. Over a 16 year period we identified 32 patients with mucocele-like lesions diagnosed on 27 (84%) stereotactic and 5 (16%) ultrasound-guided core biopsies. The indications for core biopsy were: calcifications in 24 (75%), a mass in 7 (22%), and a mass with calcifications in 1 (3%). There were 22 (69%) mucocele-like lesions without atypia and 10 (31%) with atypical ductal hyperplasia or detached groups of atypical cells. Of the 22 mucocele-like lesions without atypia, 19 (86%) were excised: 15/19 (79%) were benign, 3/19 (16%) had atypical ductal hyperplasia and 1/19 (5%) had ductal carcinoma in situ. None of the patients with mucocele-like lesions without atypia were upgraded to invasive carcinoma. The single patient who was upgraded to low-grade ductal carcinoma in situ had a history of ductal carcinoma in situ in the same breast. Of the 10 patients with mucocele-like lesions with atypia, 9 (90%) were excised: 5/9 (56%) were benign, 1/9 (11%) had atypical ductal hyperplasia and 3/9 (33%) had invasive carcinoma. Of the patients with mucocele-like lesions with atypia who were upgraded to invasive carcinoma, one had a BIRADS 5 mass and discordant pathology and one had a history of Hodgkin lymphoma and mantle radiation. There were 24 patients with mucocele-like lesions with or without atypia who were not upgraded on excision, and none developed breast cancer after a median of 51 months (range 7-192). These findings indicate that mucocele-like lesions without atypia are unlikely to be upgraded on excision and are associated with a low risk for the subsequent development of carcinoma.

Low Compliance in a Health-Conscience Spending Era Likely Helps Obviates the Need for 6 month BI-RADS 3 Breast MRI Follow-up After 1 year.

The goal of our IRB-approved study was to assess if a follow-up MRI every 6 months for 2 years is the most appropriate short-interval follow-up schedule. 203 breast MRI exams were performed from October 2009 to January 2014 as part of a BI-RADS 3 follow-up representing 2.6% of all breast MRIs (7,822) performed. We performed a retrospective longitudinal medical records review of compliance; malignancy rate of BI-RADS 3 exams; and average time and number of breast MRIs necessary prior to definitive disposition. While 77.8% eventually returned, only 45.5% of patients were compliant with follow-up at or near 6 months (4.5-7.5 months). Of those who eventually returned, it took an average of 1.31 follow-up MRIs (95% CI: 1.20-1.43 exams) and 10.3 months (95% CI: 9.0-11.7 months) before definitive disposition. 93.5% of initial findings were dispositioned as benign after two follow-up MRI exams (malignancy rate: 0.98%). Our results lend support to the possibility that the follow-up interval for BI-RADS 3 breast MRIs could be lengthened to 12 months if additional follow-up MRIs are necessary after the first year of 6-month follow-up breast MRIs. Foremost, this appears to be a safe follow-up alternative since benign definitive disposition can usually be made in less than 1 year. Supplemental reasons include persistent low-patient compliance (as redemonstrated in our study) and the higher cost of breast MRI compared to mammogram/ultrasound follow-up. Finally, this paper's findings further support the suggested MRI follow-up interval in the newest BI-RADS atlas.

I saw the "breast within a breast" sign.

The "breast within a breast" sign is used to describe the appearance of a breast hamartoma, also known as a fibroadenolipoma. A breast hamartoma is a benign mass made up of the same tissues that are found in a normal breast, giving the appearance of a breast within a breast on mammography. The "breast within a breast" sign is pathognomonic for a breast hamartoma and can help confidently diagnose these masses as benign without the need for further imaging or biopsy.

The Role of MRI in Breast Cancer and Breast Conservation Therapy.

Contrast-enhanced breast MRI has an established role in aiding in the detection, evaluation, and management of breast cancer. This article discusses MRI sequences, the clinical utility of MRI, and how MRI has been evaluated for use in breast radiotherapy treatment planning. We highlight the contribution of MRI in the decision-making regarding selecting appropriate candidates for breast conservation therapy and review the emerging role of MRI-guided breast radiotherapy.

Creativity, Connection, and Community: Reimagining the Radiology Society Meeting.

RATIONALE AND OBJECTIVES: With the shifting needs of radiologists due to escalating healthcare demands, the impetus for an increased focus on wellness and the benefits of the humanities in medicine inspired a novel approach to curricular planning of the 2023 Association of University Radiologists (AUR) annual meeting. In this manuscript, we describe the creative process behind planning and executing this innovative meeting format. MATERIALS AND METHODS: Reimagining the annual meeting was a collaborative effort centered around the development of an innovative Arts and Wellness Program, with the goal of integrating opportunities for artistic expression and experiential wellness throughout the meeting. RESULTS: Of the 1313 meeting attendees, 423 (32.2%) completed the annual meeting evaluation, of which 244 were in-person and 61 attended virtually. 178 of 423 respondents (42.1%) participated in the arts and wellness programming. 160 of 203 respondents (78.9%) reported that the arts and wellness programming enhanced the overall meeting experience. 164 of 197 respondents (83.2%) gained greater appreciation for the talents of radiology colleagues. 97 of 195 respondents (49.7%) stated that the programming gave them ideas as to how to cope effectively with stress. CONCLUSION: The incorporation of art, music, and other wellness activities into a national radiology meeting was well-received by meeting attendees. For many radiologists who participated in the various musical and artistic offerings at the AUR 2023 meeting, sharing artistic talents with the radiology community and colleagues represented the most fundamental way to be fully seen, express authenticity, and connect with others.

Presurgical Upgrade Prediction of DCIS to Invasive Ductal Carcinoma Using Time-dependent Deep Learning Models with DCE MRI.

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To determine whether time-dependent deep learning models can outperform single timepoint models in predicting preoperative upgrade of ductal carcinoma in situ (DCIS) to invasive malignancy on dynamic contrastenhanced (DCE) breast MRI without lesion segmentation prerequisite. Materials and Methods In this exploratory study, 154 cases of biopsy-proven DCIS (25 upgraded at surgery and 129 not upgraded) were selected consecutively from a retrospective cohort of preoperative DCE MRI in women with an average age of 58.6 years at time of diagnosis from 2012 to 2022. Binary classification was implemented with convolutional neural network-long short-term memory (CNN-LSTM) architectures benchmarked against traditional CNNs without manual segmentation of the lesions. Combinatorial performance analysis of ResNet50 versus VGG16-based models was performed with each contrast phase. Binary classification area under the receiver operating characteristic curve (AUC) was reported. Results VGG16-based models consistently provided better hold-out test AUCs than ResNet50 in CNN and CNNLSTM studies (multiphase test AUC: 0.67 versus 0.59, respectively, for CNN models; P = .04 and 0.73 versus 0.62 for CNN-LSTM models; P = .008). The time-dependent model (CNN-LSTM) provided a better multiphase test AUC over single-timepoint (CNN) models (0.73 versus 0.67, P = .04). Conclusion Compared with single-timepoint architectures, sequential deep learning algorithms using preoperative DCE MRI improved prediction of DCIS lesions upgraded to invasive malignancy without the need for lesion segmentation. ©RSNA, 2024.

MRI Response to Pre-operative Stereotactic Ablative Body Radiotherapy (SABR) in Early Stage ER/PR+ HER2- Breast Cancer correlates with Surgical Pathology Tumor Bed Cellularity.

OBJECTIVE: This study evaluates breast MRI response of ER/PR+ HER2- breast tumors to pre-operative SABR with pathologic response correlation. METHODS: Women enrolled in a phase 2 single institution trial of SABR for ER/PR+ HER2- breast cancer were retrospectively evaluated for radiologic-pathologic correlation of tumor response. These patients underwent baseline breast MRI, SABR (28.5 Gy in 3 fractions), follow-up MRI 5 to 6 weeks post-SABR, and lumpectomy. Tumor size and BI-RADS descriptors on pre and post-SABR breast MRIs were compared to determine correlation with surgical specimen % tumor cellularity (%TC). Reported MRI tumor dimensions were used to calculate percent cubic volume remaining (%VR). Partial MRI response was defined as a BI-RADs descriptor change or %VR ≤ 70%, while partial pathologic response (pPR) was defined as %TC ≤ 70%. RESULTS: Nineteen patients completed the trial, and %TC ranged 10% to 80%. For BI-RADS descriptor analysis, 12 of 19 (63%) showed change in lesion or kinetic enhancement descriptors post-SABR. This was associated with lower %TC (29% vs. 47%, P = .042). BI-RADS descriptor change analysis also demonstrated high PPV (100%) and specificity (100%) for predicting pPR to treatment (sensitivity 71%, accuracy 74%), but low NPV (29%). MRI %VR demonstrated strong linear correlation with %TC (R = 0.70, P < .001, Pearson's Correlation) and high accuracy (89%) for predicting pPR (sensitivity 88%, specificity 100%, PPV 100%, and NPV 50%). CONCLUSION: Evaluating breast cancer response on MRI using %VR after pre-operative SABR treatment can help identify patients benefiting the most from neoadjuvant radiation treatment of their ER/PR+ HER2- tumors, a group in which pCR to neoadjuvant therapy is rare.

Quantitative Changes in Intratumoral Habitats on MRI Correlate With Pathologic Response in Early-stage ER/PR+ HER2- Breast Cancer Treated With Preoperative Stereotactic Ablative Body Radiotherapy.

Objective: To quantitatively evaluate intratumoral habitats on dynamic contrast-enhanced (DCE) breast MRI to predict pathologic breast cancer response to stereotactic ablative body radiotherapy (SABR). Methods: Participants underwent SABR treatment (28.5 Gy x3), baseline and post-SABR MRI, and breast-conserving surgery for ER/PR+ HER2- breast cancer. MRI analysis was performed on DCE T1-weighted images. MRI voxels were assigned eight habitats based on high (H) or low (L) maximum enhancement and the sequentially numbered dynamic sequence of maximum enhancement (H1-4, L1-4). MRI response was analyzed by percent tumor volume remaining (%VR = volume post-SABR/volume pre-SABR), and percent habitat makeup (%HM of habitat X = habitat X voxels/total voxels in the segmented volume). These were correlated with percent tumor bed cellularity (%TC) for pathologic response. Results: Sixteen patients completed the trial. The %TC ranged 20%-80%. MRI %VR demonstrated strong correlations with %TC (Pearson R = 0.7-0.89). Pre-SABR tumor %HMs differed significantly from whole breasts (P = 0.005 to <0.00001). Post-SABR %HM of tumor habitat H4 demonstrated the largest change, increasing 13% (P = 0.039). Conversely, combined %HM for H1-3 decreased 17% (P = 0.006). This change correlated with %TC (P < 0.00001) and distinguished pathologic partial responders (≤70 %TC) from nonresponders with 94% accuracy, 93% sensitivity, 100% specificity, 100% positive predictive value, and 67% negative predictive value. Conclusion: In patients undergoing preoperative SABR treatment for ER/PR+ HER2- breast cancer, quantitative MRI habitat analysis of %VR and %HM change correlates with pathologic response.

Understanding the Mammography Audit.

Screening mammography aims to identify small, node-negative breast cancers when they are still curable while maintaining an acceptable range of false-positive recalls and biopsies. The mammography audit is a powerful tool to help radiologists understand their performance with respect to that goal. This article defines audit terms and describes how to use collected and derived data to perform a mammography audit. Accepted benchmarks are discussed as well as their applicability to radiologists and breast imaging practices in the United States. Special considerations regarding volumes and radiologist characteristics are explored, because these factors may affect audit results.

Adenomyoepithelioma of the breast: Case series and literature review.

Adenomyoepithelioma of the breast is a rare tumor consisting of both epithelial and myoepithelial cells. Malignant transformation of either cell line can occur. We describe the imaging features, clinical presentation, and management of seven cases of biopsy-proven adenomyoepithelioma at our institution.

Fat Grafting and the Palpable Breast Mass in Implant-Based Breast Reconstruction: Incidence and Implications.

BACKGROUND: Fat grafting is a powerful and increasingly used technique in breast reconstruction. However, fat necrosis can lead to palpable postoperative changes that can induce anxiety and lead to unplanned diagnostic studies. The authors' aim in this study was to evaluate the incidence, type, and timing of these unanticipated studies; the specialty of the ordering provider; and the factors that trigger the ordering process. METHODS: A retrospective chart review was conducted for patients from 2006 to 2015 who underwent fat grafting as part of implant-based breast cancer reconstruction and had at least 1-year follow-up after fat grafting. RESULTS: From 2006 to 2015, 166 patients underwent fat grafting as part of implant-based breast reconstruction. Forty-four women (26.5 percent) underwent at least one imaging procedure. Thirteen women (7.8 percent) underwent 17 biopsies. For a palpable mass, the initial imaging test most commonly ordered was ultrasound, followed by mammography/ultrasound. The percentage of patients with a diagnosis of fat necrosis on mammography, ultrasound, and biopsy was 4.2, 12.7, and 5.4 percent, respectively. Seven patients (4.2 percent) had distant metastases. Tissue diagnosis of local recurrence was never identified. Mean follow-up was 2.4 years. CONCLUSIONS: Fat-grafting sequelae may lead to early unplanned invasive and noninvasive procedures initiated by a variety of providers. In this study, fat grafting had no impact on local recurrence rate. As use of fat grafting grows, communication among breast cancer care providers and enhanced patient and caregiver education will be increasingly important in optimizing the multidisciplinary evaluation and monitoring of palpable breast lesions. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.

Epipericardial fat pad necrosis: computed tomography findings and literature review.

Epipericardial fat necrosis is an unusual clinical condition of unknown etiology first reported in the literature in 1957. It presents as an acute onset of chest pain and a well-defined juxtacardiac mass. Computed tomographic findings of this condition demonstrate a fat-attenuation mass that resolves over time. We present a case of a 48-year-old man who presented with epipericardial fat necrosis followed over time with serial computed tomographic scans documenting resolution.