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To determine the feasibility of standardized, prospective assignment of initial method of detection (MOD) of breast cancer by radiologists in diverse practice settings. This multicenter, retrospective study analyzed the rate of assignment of MOD in four geographically varied health systems. A universal protocol for basic MOD assignment was agreed upon by the authors before start of the pilot study. Radiologists at each site were instructed how to assign MOD. Charts were then reviewed to determine the frequency and accuracy of MOD assignment for all cases subsequently diagnosed with breast cancer. When available, data regarding frequency of tumor registry abstraction were also reviewed for frequency and accuracy. A total of 2,328 patients with a new diagnosis of breast cancer were evaluated across the sites over the study period. Of these patients, initial MOD was prospectively assigned by the radiologist in 94% of cases. Of the cases in which MOD was assigned, retrospective review confirmed accurate assignment in 96% of cases. Prospective, standardized assignment of initial MOD of breast cancer is feasible across different practice sites and can be accurately captured in tumor registries. Standard collection of MOD would provide critical data about the impact of screening mammography in the United States. [Display omitted] [ABSTRACT FROM AUTHOR]

Rationale and Objectives: The purpose of this study is to quantify breast radiologists' performance at predicting occult invasive disease when ductal carcinoma in situ (DCIS) presents as calcifications on mammography and to identify imaging and histopathological features that are associated with radiologists' performance.Materials and Methods: Mammographically detected calcifications that were initially diagnosed as DCIS on core biopsy and underwent definitive surgical excision between 2010 and 2015 were identified. Thirty cases of suspicious calcifications upstaged to invasive ductal carcinoma and 120 cases of DCIS confirmed at the time of definitive surgery were randomly selected. Nuclear grade, estrogen and progesterone receptor status, patient age, calcification long axis length, and breast density were collected. Ten breast radiologists who were blinded to all clinical and pathology data independently reviewed all cases and estimated the likelihood that the DCIS would be upstaged to invasive disease at surgical excision. Subgroup analysis was performed based on nuclear grade, long axis length, breast density and after exclusion of microinvasive disease.Results: Reader performance to predict upstaging ranged from an area under the receiver operating characteristic curve (AUC) of 0.541-0.684 with a mean AUC of 0.620 (95%CI: 0.489-0.751). Performances improved for lesions smaller than 2 cm (AUC: 0.676 vs 0.500; p = 0.002). The exclusion of microinvasive cases also improved performance (AUC: 0.651 vs 0.620; p = 0.005). There was no difference in performance based on breast density (p = 0.850) or nuclear grade (p = 0.270) CONCLUSION: Radiologists were able to predict invasive disease better than chance, particularly for smaller DCIS lesions (<2 cm) and after the exclusion of microinvasive disease. [ABSTRACT FROM AUTHOR]

Rationale and Objectives: To determine if background parenchymal enhancement (BPE) on screening breast magnetic resonance imaging (MRI) in high-risk women correlates with future cancer.Materials and Methods: All screening breast MRIs (n = 1039) in high-risk women at our institution from August 1, 2004, to July 30, 2013, were identified. Sixty-one patients who subsequently developed breast cancer were matched 1:2 by age and high-risk indication with patients who did not develop breast cancer (n = 122). Five fellowship-trained breast radiologists independently recorded the BPE. The median reader BPE for each case was calculated and compared between the cancer and control cohorts.Results: Cancer cohort patients were high-risk because of a history of radiation therapy (10%, 6 of 61), high-risk lesion (18%, 11 of 61), or breast cancer (30%, 18 of 61); BRCA mutation (18%, 11 of 61); or family history (25%, 15 of 61). Subsequent malignancies were invasive ductal carcinoma (64%, 39 of 61), ductal carcinoma in situ (30%, 18 of 61) and invasive lobular carcinoma (7%, 4of 61). BPE was significantly higher in the cancer cohort than in the control cohort (P = 0.01). Women with mild, moderate, or marked BPE were 2.5 times more likely to develop breast cancer than women with minimal BPE (odds ratio = 2.5, 95% confidence interval: 1.3-4.8, P = .005). There was fair interreader agreement (κ = 0.39).Conclusions: High-risk women with greater than minimal BPE at screening MRI have increased risk of future breast cancer. [ABSTRACT FROM AUTHOR]

Rationale and Objectives: The aim of this study was to describe the imaging appearance of patients undergoing active surveillance for ductal carcinoma in situ (DCIS).Materials and Methods: We retrospectively identified 29 patients undergoing active surveillance for DCIS from 2009 to 2014. Twenty-two patients (group 1) refused surgery or were not surgical candidates. Seven patients (group 2) enrolled in a trial of letrozole and deferred surgical excision for 6-12 months. Pathology and imaging results at the initial biopsy and follow-up were recorded.Results: In group 1, the median follow-up was 2.7 years (range: 0.6-13.9 years). Fifteen patients (68%) remained stable. Seven patients (32%) underwent additional biopsies with invasive ductal carcinoma diagnosed in two patients after 3.9 and 3.6 years who developed increasing calcifications and new masses. In group 2, one patient (14%) was upstaged to microinvasive ductal carcinoma at surgery. Among the patients in both groups with calcifications (n = 26), there was no progression to invasive disease among those with stable (50%, 13/26) or decreased (19%, 5/26) calcifications.Conclusions: Among a DCIS active surveillance cohort, invasive disease progression presented as increasing calcifications and a new mass following more than 3.5 years of stable imaging. In contrast, there was no progression to invasive disease among cases of DCIS with stable or decreasing calcifications. Close imaging is a key follow-up component in active surveillance. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study was to better understand the relationship between digital breast tomosynthesis (DBT) difficulty and radiology trainee performance.Methods: Twenty-seven radiology residents and fellows and three expert breast imagers reviewed 60 DBT studies consisting of unilateral craniocaudal and medial lateral oblique views. Trainees had no prior DBT experience. All readers provided difficulty ratings and final BI-RADS(®) scores. Expert breast imager consensus interpretations were used to determine the ground truth. Trainee sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated for low- and high-difficulty subsets of cases as assessed by each trainee him or herself (self-assessed difficulty) and consensus expert-assessed difficulty.Results: For self-assessed difficulty, the trainee AUC was 0.696 for high-difficulty and 0.704 for low-difficulty cases (P = .753). Trainee sensitivity was 0.776 for high-difficulty and 0.538 for low-difficulty cases (P < .001). Trainee specificity was 0.558 for high-difficulty and 0.810 for low-difficulty cases (P < .001). For expert-assessed difficulty, the trainee AUC was 0.645 for high-difficulty and 0.816 for low-difficulty cases (P < .001). Trainee sensitivity was 0.612 for high-difficulty and .784 for low-difficulty cases (P < .001). Trainee specificity was 0.654 for high-difficulty and 0.765 for low-difficulty cases (P = .021).Conclusions: Cases deemed difficult by experts were associated with decreases in trainee AUC, sensitivity, and specificity. In contrast, for self-assessed more difficult cases, the trainee AUC was unchanged because of increased sensitivity and compensatory decreased specificity. Educators should incorporate these findings when developing educational materials to teach interpretation of DBT. [ABSTRACT FROM AUTHOR]

Rationale and Objectives To compare the performance of two shortened breast magnetic resonance imaging (MRI) protocols to a standard MRI protocol for breast cancer screening. Materials and Methods In this Health Insurance Portability and Accountability Act compliant, institutional review board–approved pilot study, three fellowship-trained breast imagers evaluated 48 breast MRIs (24 normal, 12 benign, and 12 malignant) selected from a high-risk screening population. MRIs were presented in three viewing protocols, and a final Breast Imaging-Reporting and Data System assessment was recorded for each case. The first shortened protocol (abbreviated 1) included only fat-saturated precontrast T2-weighted, precontrast T1-weighted, and first pass T1-weighted postcontrast sequences. The second shortened protocol (abbreviated 2) included the abbreviated 1 protocol plus the second pass T1-weighted postcontrast sequence. The third protocol (full), reviewed after a 1-month waiting period, included a nonfat-saturated T1-weighted sequence, fat-saturated T2-weighted, precontrast T1-weighted, and three or four dynamic postcontrast sequences. Interpretation times were recorded for the abbreviated 1 and full protocols. Sensitivity and specificity were compared via a chi-squared analysis. This pilot study was designed to detect a 10% difference in sensitivity with a power of 0.8. Results There was no significant difference in sensitivity between the abbreviated 1 (86%; P = .22) or abbreviated 2 (89%; P = .38) protocols and the full protocol (95%). There was no significant difference in specificity between the abbreviated 1 (52%; P = 1) or abbreviated 2 (45%; P = .34) protocols and the full protocol (52%). The abbreviated 1 and full protocol interpretation times were similar (2.98 vs. 3.56 minutes). Conclusions In this pilot study, reader performance comparing two shortened breast MRI protocols to a standard protocol in a screening cohort were similar, suggesting that a shortened breast MRI protocol may be clinically useful, warranting further investigation. [ABSTRACT FROM AUTHOR]

Purpose To determine the initial digital breast tomosynthesis (DBT) performance of radiology trainees with varying degrees of breast imaging experience. Methods To test trainee performance with DBT, we performed a reader study, after obtaining IRB approval. Two medical students, 20 radiology residents, 4 nonbreast imaging fellows, 3 breast imaging fellows, and 3 fellowship-trained breast imagers reviewed 60 unilateral DBT studies (craniocaudal and medio-lateral oblique views). Trainees had no DBT experience. Each reader recorded a final BI-RADS assessment for each case. The consensus interpretations from fellowship-trained breast imagers were used to establish the ground truth. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were calculated. For analysis, first- through third-year residents were classified as junior trainees, and fourth-year residents plus nonbreast imaging fellows were classified as senior trainees. Results The AUCs were .569 for medical students, .721 for junior trainees, .701 for senior trainees, and .792 for breast imaging fellows. The junior and senior trainee AUCs were equivalent ( P < .01) using a two one-sided test for equivalence, with a significance threshold of 0.1. The sensitivities and specificities were highest for breast imaging fellows (.778 and .815 respectively), but similar for junior (.631 and .714, respectively) and senior trainees (.678 and .661, respectively). Conclusions Initial performance with DBT among radiology residents and nonbreast imaging fellows is independent of years of training. Radiology educators should consider these findings when developing educational materials. [ABSTRACT FROM AUTHOR]

Rationale and Objectives: The purpose of this study was to better understand the concept of mammography difficulty and how it affects radiology resident performance. Materials and Methods: Seven radiology residents and three expert breast imagers reviewed 100 mammograms, consisting of bilateral medial lateral oblique and craniocaudal views, using a research workstation. The cases consisted of normal, benign, and malignant findings. Participants identified abnormalities and scored the difficulty and malignant potential for each case. Resident performance (sensitivity, specificity, and area under the receiver operating characteristic curve [AUC]) was calculated for self- and expert-assessed high and low difficulties. Results: For cases classified by self-assessed difficulty, the resident AUCs were 0.667 for high difficulty and 0.771 for low difficulty cases (P = .010). Resident sensitivities were 0.707 for high and 0.614 for low difficulty cases (P = .113). Resident specificities were 0.583 for high and 0.905 for low difficulty cases (P < .001). For cases classified by expert-assessed difficulty, the resident AUCs were 0.583 for high and 0.783 for low difficulty cases (P = .001). Resident sensitivities were 0.558 for high and 0.796 for low difficulty cases (P < .001). Resident specificities were 0.714 for high and 0.740 for low difficulty cases (P = .807). Conclusions: Increased self- and expert-assessed difficulty is associated with a decrease in resident performance in mammography. However, while this lower performance is due to a decrease in specificity for self-assessed difficulty, it is due to a decrease in sensitivity for expert-assessed difficulty. These trends suggest that educators should provide a mix of self- and expert-assessed difficult cases in educational materials to maximize the effect of training on resident performance and confidence. [Copyright &y& Elsevier]

Rationale and Objectives: Spectroscopy signal of a breast lesion may be disrupted by the presence of metal from a biopsy marking clip. This study compares the size of magnetic resonance (MR) susceptibility artifacts and degree of local spectroscopy signal disturbance created by conventional titanium tissue marker clips to that of a novel carbon coated ceramic breast tissue marker clip. Materials and Methods: Five breast tissue marker clips were embedded in a gelatin breast phantom. The phantoms were imaged on a 3T MR scanner, and three-dimensional T1-weighted gradient echo images were obtained. The area of the susceptibility artifact was calculated and compared for each clip. Single voxel point resolved spectroscopy spectra (SVS) were acquired for three ceramic clips aligned along the superoinferior, anteroposterior, and left-right axes, respectively. Measurements were repeated for an area of pure gelatin and for one similarly sized titanium clip located arbitrarily in the main field. Water spectra were obtained, and line widths and areas of the water peaks were compared. Results: All five clips were easily visible on MR imaging. The ceramic marker clip produced less apparent artifact when compared with the metallic clips. Spectral analysis demonstrated local frequency shifts around all clips. Line widths varied from 7 to 92 Hz in the voxels on and around the titanium clip and from 4to 18 Hz around the ceramic clips. Conclusion: The ceramic breast tissue marker clip produced less susceptibility artifact and less line broadening on 3T MR imaging than conventional titanium clips. This tissue marker may reduce artifact and improve consistency of breast MR spectroscopy. [Copyright &y& Elsevier]

Rationale and Objectives: The aim of this study was to determine if core biopsy–proven benign papillomas of the breast need to be surgically excised. Materials and methods: Mammographic and pathologic database review from January 1994 to January 2004 revealed 178 papillary lesions diagnosed by core biopsy in 176 women (mean age, 59 years). All lesions had ≥24 months of imaging follow-up (n = 75) or surgical correlation (n = 103). Details regarding core biopsy technique, lesion appearance, pathologic results, imaging-histopathologic concordance, and follow-up imaging were recorded. Core and surgical pathologic results were correlated. Results: Of the 178 papillary lesions diagnosed at core needle biopsy, 120 (67%) were initially diagnosed as benign without atypia. The core biopsy diagnoses of benignity were confirmed for all 120 lesions by either surgical excision (n = 45) or stability after ≥2 years of imaging follow-up (n = 75). Of the remaining 58 papillary lesions, 50 were found to be atypical at core needle biopsy; 15 of those 50 (29%) were upgraded to malignancies at surgical excision. Eight of the 178 lesions (5%) were initially diagnosed as malignant papillary lesions at core needle biopsy. Seven of these eight (88%) were confirmed malignant at excision. None of the surgically proven cancers was diagnosed as benign at core biopsy. Conclusions: Close imaging follow-up rather than excision of core biopsy–proven benign papillomas was adequate given careful imaging-histopathologic correlation and excision of all atypical and discordant lesions. Individual centers should evaluate their own data and tailor their practices accordingly. [Copyright &y& Elsevier]

The purpose of this study is to identify predictors of tumor-positive surgical margins after breast-conserving surgery on dynamic contrast-enhanced (DCE) MRI. We conducted a retrospective study of consecutive women who underwent DCE MRI before breast-conserving surgery from 2005 to 2014. Patient demographics, indication for surgery, MRI findings, biopsy pathology results, and surgical outcomes were reviewed. The unpaired t -test and chi -square test were used to compare the positive and negative margins groups. 554 women (mean age, 56; range, 26–90) underwent DCE MRI before 575 breast-conserving surgeries for invasive carcinoma (n = 473) or ductal carcinoma in situ (DCIS) (n = 102). Positive margins requiring re-excision occurred in 19.7% (93/473) of surgeries for invasive carcinoma and 31.4% (32/102) of surgeries for DCIS. For invasive carcinoma surgeries, positive margins were more common when MRI demonstrated the finding of non-mass enhancement (NME) rather than the finding of enhancing mass (33.8% [22/65] versus 16.9% [61/360], p < 0.01). Tumor size on MRI was significantly larger in the positive margins group (2.5 cm versus 1.9 cm, p < 0.001). Positive margins were more common with invasive lobular rather than invasive ductal histology at core biopsy (38.3% [18/47] versus 16.0% [56/350], p < 0.001). For DCIS surgeries, there were no significant differences in positive margin rates related to MRI features. For invasive carcinoma surgeries, positive margins are associated with NME on MRI, larger tumor size on MRI, and lobular histology at core biopsy. These findings may be used to predict which patients are at risk for positive margins after breast-conserving surgery. • MRI can predict which patients are at risk for positive margins after lumpectomy. • Non-mass enhancement on breast MRI is associated with tumor-positive surgical margins. • Large tumor size on breast MRI is associated with tumor-positive surgical margins. [ABSTRACT FROM AUTHOR]

Purpose Digital breast tomosynthesis (DBT) can improve lesion visibility in comparison to mammography by eliminating breast tissue superimposition. While the benefits of DBT in breast cancer screening rely on well trained radiologists, the optimal training regimen in DBT is unknown. We propose a computer-aided educational system that individually selects the optimal training cases for each trainee. The first step towards this goal is to capture the individual weaknesses of each trainee. In this study, we present and evaluate a computer algorithm for this purpose with particular focus on false negative errors. Methods We developed an algorithm (a user model) that predicted the likelihood of a trainee missing an abnormal location. An individual model is applied for each trainee. The algorithm consists of three steps. First, the lesions on DBT images are segmented by a 3D active contour method with a level set algorithm. Then, 16 features are extracted automatically for the segmented lesions. Finally a multivariate logistic regression classifier predicts the likelihood of error based on the extracted features. The classifier is trained using the previous interpretation data of the trainee. We evaluated the individual predictive algorithms experimentally using data from a reader study in which 29 trainees and 3 expert breast radiologists read 60 DBT cases. Receiver operating characteristic (ROC) analysis, along with a repeated holdout approach, was used to evaluate the predictive performance of our algorithm. Results The average area under the ROC curve (AUC) of the algorithms which predicted which lesions will be detected and which will be missed by a specific trainee was 0.627 (95% CI: 0.579–0.675). The average performance was statistically significantly better than chance ( p <0.001). Under the status quo, training involves no specific strategy for case presentation, and this random behavior corresponds to AUC of 0.5. Therefore, the proposed algorithm may provide a significant improvement in distinguishing abnormal locations that will be detected by a trainee from those that will be missed. Conclusions Our algorithm was able to distinguish abnormal locations that will be detected by a trainee from those that will be missed. This could be used to enrich the training set with cases that are likely to prompt error for the individual trainee while still maintaining a range of cases necessary for comprehensive education. [ABSTRACT FROM AUTHOR]

Background: Nipple-areola complex (NAC) and skin flap ischemia and necrosis can occur after nipple-sparing mastectomy (NSM). The purpose of this study was to correlate vascular findings on MRI with outcomes in patients who underwent NSM.Study Design: Female patients at a single institution who underwent NSM and had a preoperative breast MRI between 2010 and 2014 were identified. Medical records were reviewed for patient demographics, surgical factors, and complications. Magnetic resonance images were reviewed by 2 radiologists, blinded to outcomes, for the presence of dual vs single blood supply to the breast. The association between blood supply on MRI with ischemic and necrotic complications after NSM was analyzed.Results: One hundred and sixty-four NSM procedures were performed in 105 patients (mean age 45.5 years, range 25 to 69 years) who had a preoperative MRI. The majority of procedures were performed for malignancy (89 of 164 [54.3%]) or prophylaxis (73 of 164 [44.5%]). Nipple-areola complex or skin flap ischemia or necrosis occurred in 40 (24.4%) breasts. Ischemia or necrosis after NSM was less likely to occur in breasts with dual compared with single blood supply (20.8% vs 38.2%; p = 0.03). There was no association between surgical complications and age, BMI, smoking history, previous radiation therapy, indication for NSM, surgical specimen weight, surgical incision type, reconstruction approach, or operating surgeon on univariate analysis.Conclusions: Preoperative MRI characterization of breast vascularity can be considered when planning NSM. The presence of a dual blood supply to the breast on MRI is associated with a decreased risk of nipple-areola complex and skin flap ischemia and necrosis after NSM. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to investigate the association between breast cancer recurrence-free survival and breast magnetic resonance imaging (MRI) tumor enhancement dynamics which are quantified semi-automatically using computer algorithms.Methods: In this retrospective IRB-approved study, we analyzed data from 275 breast cancer patients at a single institution. Recurrence-free survival data were obtained from the medical record. Routine clinical pre-operative breast MRIs were performed in all patients. The tumors were marked on the MRIs by fellowship-trained breast radiologists. A previously developed computer algorithm was applied to the marked tumors to quantify the enhancement dynamics relative to the automatically assessed background parenchymal enhancement. To establish whether the contrast enhancement feature quantified by the algorithm was associated with recurrence-free survival, we constructed a Cox proportional hazards regression model with the computer-extracted feature as a covariate. We controlled for tumor grade and size (major axis length), patient age, patient race/ethnicity, and menopausal status.Results: The analysis showed that the semi-automatically obtained feature quantifying MRI tumor enhancement dynamics was independently predictive of recurrence-free survival (p=0.024).Conclusion: Semi-automatically quantified tumor enhancement dynamics on MRI are predictive of recurrence-free survival in breast cancer patients. [ABSTRACT FROM AUTHOR]