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Rationale and Objectives: The prognosis of ductal carcinoma in situ with microinvasion (DCISM) is more similar to that of small invasive ductal carcinoma (IDC) than to pure ductal carcinoma in situ (DCIS). It is particularly important to accurately distinguish between DCISM and DCIS. The present study aims to compare the clinical and imaging characteristics of contrast-enhanced mammography (CEM) and magnetic resonance imaging (MRI) between DCISM and pure DCIS, and to identify predictive factors of microinvasive carcinoma, which may contribute to a comprehensive understanding of DCISM in clinical diagnosis and support surveillance strategies, such as surgery, radiation, and other treatment decisions., Materials and Methods: Forty-seven female patients diagnosed with DCIS were included in the study from May 2019 to August 2023. Patients were further divided into two groups based on pathological diagnosis: DCIS and DCISM. Clinical and imaging characteristics of these two groups were analyzed statistically. The independent clinical risk factors were selected using multivariate logistic regression and used to establish the logistic model [Logit(P)]. The diagnostic performance of independent predictors was assessed and compared using receiver operating characteristic (ROC) analysis and DeLong's test., Results: In CEM, the maximum cross-sectional area (CSAmax), the percentage signal difference between the enhancing lesion and background in the craniocaudal and mediolateral oblique projection (%RSCC, and %RSMLO) were found to be significantly higher for DCISM compared to DCIS (p = 0.001; p < 0.001; p = 0.008). Additionally, there were noticeable statistical differences in the patterns of enhancement morphological distribution (EMD) and internal enhancement pattern (IEP) between DCIS and DCISM (p = 0.047; p = 0.008). In MRI, only CSAmax (p = 0.012) and IEP (p = 0.020) showed significant statistical differences. The multivariate regression analysis suggested that CSAmax (in CEM or MR) and %RSCC were independent predictors of DCISM (all p < 0.05). The area under the curve (AUC) of CSAmax (CEM), %RSCC (CEM), Logit(P) (CEM), and CSAmax (MR) were 0.764, 0.795, 0.842, and 0.739, respectively. There were no significant differences in DeLong's test for these values (all p > 0.10). DCISM was significantly associated with high nuclear grade, comedo type, high axillary lymph node (ALN) metastasis, and high Ki-67 positivity compared to DCIS (all p < 0.05)., Conclusion: The tumor size (CSAmax), enhancement index (%RS), and internal enhancement pattern (IEP) were highly indicative of DCISM. DCISM tends to express more aggressive pathological features, such as high nuclear grade, comedo-type necrosis, ALN metastasis, and Ki-67 overexpression. As with MRI, CEM has the capability to help predict when DCISM is accompanying DCIS., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)

Purpose To determine whether time-dependent deep learning models can outperform single time point models in predicting preoperative upgrade of ductal carcinoma in situ (DCIS) to invasive malignancy at dynamic contrast-enhanced (DCE) breast MRI without a 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 a mean age of 59 years at time of diagnosis from 2012 to 2022. Binary classification was implemented with convolutional neural network (CNN)-long short-term memory (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 holdout test AUCs than did ResNet50 in CNN and CNN-LSTM studies (multiphase test AUC, 0.67 vs 0.59, respectively, for CNN models [ P = .04] and 0.73 vs 0.62 for CNN-LSTM models [ P = .008]). The time-dependent model (CNN-LSTM) provided a better multiphase test AUC over single time point (CNN) models (0.73 vs 0.67; P = .04). Conclusion Compared with single time point architectures, sequential deep learning algorithms using preoperative DCE MRI improved prediction of DCIS lesions upgraded to invasive malignancy without the need for lesion segmentation. Keywords: MRI, Dynamic Contrast-enhanced, Breast, Convolutional Neural Network (CNN) Supplemental material is available for this article. © RSNA, 2024.

Objectives: To investigate the influence of preoperative breast MRI on mastectomy and reoperation rates in patients with pure ductal carcinoma in situ (DCIS)., Methods: The MIPA observational study database (7245 patients) was searched for patients aged 18-80 years with pure unilateral DCIS diagnosed at core needle or vacuum-assisted biopsy (CNB/VAB) and planned for primary surgery. Patients who underwent preoperative MRI (MRI group) were matched (1:1) to those who did not receive MRI (noMRI group) according to 8 confounding covariates that drive referral to MRI (age; hormonal status; familial risk; posterior-to-nipple diameter; BI-RADS category; lesion diameter; lesion presentation; surgical planning at conventional imaging). Surgical outcomes were compared between the matched groups with nonparametric statistics after calculating odds ratios (ORs)., Results: Of 1005 women with pure unilateral DCIS at CNB/VAB (507 MRI group, 498 noMRI group), 309 remained in each group after matching. First-line mastectomy rate in the MRI group was 20.1% (62/309 patients, OR 2.03) compared to 11.0% in the noMRI group (34/309 patients, p = 0.003). The reoperation rate was 10.0% in the MRI group (31/309, OR for reoperation 0.40) and 22.0% in the noMRI group (68/309, p < 0.001), with a 2.53 OR of avoiding reoperation in the MRI group. The overall mastectomy rate was 23.3% in the MRI group (72/309, OR 1.40) and 17.8% in the noMRI group (55/309, p = 0.111)., Conclusions: Compared to those going directly to surgery, patients with pure DCIS at CNB/VAB who underwent preoperative MRI had a higher OR for first-line mastectomy but a substantially lower OR for reoperation., Clinical Relevance Statement: When confounding factors behind MRI referral are accounted for in the comparison of patients with CNB/VAB-diagnosed pure unilateral DCIS, preoperative MRI yields a reduction of reoperations that is more than twice as high as the increase in overall mastectomies., Key Points: • Confounding factors cause imbalance when investigating the influence of preoperative MRI on surgical outcomes of pure DCIS. • When patient matching is applied to women with pure unilateral DCIS, reoperation rates are significantly reduced in women who underwent preoperative MRI. • The reduction of reoperations brought about by preoperative MRI is more than double the increase in overall mastectomies., (© 2023. The Author(s).)

Objectives: To compare contrast-enhanced mammography (CEM) with low-energy image (LEI) alone and with magnetic resonance imaging (MRI) in the preoperative diagnosis of ductal carcinoma in situ (DCIS)., Methods: In this single-center retrospective study, we reviewed 98 pure DCIS lesions in 96 patients who underwent CEM and MRI within 2 weeks preoperatively. The diagnostic performances of each imaging modality, lesion morphology, and extent were evaluated., Results: The sensitivity of CEM to DCIS was similar to that of MRI (92.9% vs. 93.9%, p = 0.77) and was significantly higher than that of LEI alone (76.5%, p = 0.002). The sensitivity of CEM to calcified DCIS (92.4%) was not significantly different from LEI alone (92.4%) and from MRI (93.9%, p = 1.00). However, CEM contributed to the simultaneous comparison of calcifications with enhancements. CEM had considerably higher sensitivity compared with LEI alone (93.8% vs. 43.8%, p < 0.001) and performed similarly to MRI (93.8%, p = 1.00) for noncalcified DCIS. All DCIS lesions were enhanced in MRI, whereas 94.9% (93/98) were enhanced in CEM. Non-mass enhancement was the most common presentation (CEM 63.4% and MRI 66.3%). The difference between the lesion size on each imaging modality and the histopathological size was smallest in MRI, followed by CEM, and largest in LEI., Conclusion: CEM was more sensitive than LEI alone and comparable to MRI in DCIS diagnosis. The enhanced morphology of DCIS in CEM was consistent with that in MRI. CEM was superior to LEI alone in size measurement of DCIS., Clinical Relevance Statement: This study investigated the value of CEM in the diagnosis and evaluation of DCIS, aiming to offer a reference for the selection of examination methods for DCIS and contribute to the early diagnosis and precise treatment of DCIS., Key Points: • DCIS is an important indication for breast surgery. Early and accurate diagnosis is crucial for DCIS treatment and prognosis. • CEM overcomes the deficiency of mammography in noncalcified DCIS diagnosis, exhibiting similar sensitivity to MRI; and CEM contributes to the comparison of calcification and enhancement of calcified DCIS, thereby outperforming MRI. • CEM is superior to LEI alone and slightly inferior to MRI in the size evaluation of DCIS., (© 2023. The Author(s), under exclusive licence to European Society of Radiology.)

Background Few studies have compared abbreviated breast MRI with full-protocol MRI in women with a personal history of breast cancer (PHBC), and they have not adjusted for confounding variables. Purpose To compare abbreviated breast MRI with full-protocol MRI in women with PHBC by using propensity score matching to adjust for confounding variables. Materials and Methods In this single-center retrospective study, women with PHBC who underwent full-protocol MRI (January 2008-August 2017) or abbreviated MRI (September 2017-April 2019) were identified. With use of a propensity score-matched cohort, screening performances were compared between the two MRI groups with the McNemar test or a propensity score-adjusted generalized estimating equation. The coprimary analyses were sensitivity and specificity. The secondary analyses were the cancer detection rate, interval cancer rate, positive predictive value for biopsies performed (PPV3), and Breast Imaging Reporting and Data System (BI-RADS) category 3 short-term follow-up rate. Results There were 726 women allocated to each MRI group (mean age ± SD, 50 years ± 8 for both groups). Abbreviated MRI and full-protocol MRI showed comparable sensitivity (15 of 15 cancers [100%; 95% CI: 78, 100] vs nine of 13 cancers [69%; 95% CI: 39, 91], respectively; P = .17). Abbreviated MRI showed higher specificity than full-protocol MRI (660 of 711 examinations [93%; 95% CI: 91, 95] vs 612 of 713 examinations [86%; 95% CI: 83, 88], respectively; P < .001). The cancer detection rate (21 vs 12 per 1000 examinations), interval cancer rate (0 vs five per 1000 examinations), and PPV3 (61% [14 of 23 examinations] vs 41% [nine of 22 examinations]) were comparable (all P < .05). The BI-RADS category 3 short-term follow-up rate of abbreviated MRI was less than half that of full-protocol MRI (5% [36 of 726 examinations] vs 12% [84 of 726 examinations], respectively; P < .001). Ninety-three percent (14 of 15) of cancers detected at abbreviated MRI were node-negative T1-invasive cancers ( n = 6) or ductal carcinoma in situ ( n = 8). Conclusion Abbreviated breast MRI showed comparable sensitivity and superior specificity to full-protocol MRI in breast cancer detection in women with a personal history of breast cancer. © RSNA, 2022 Online supplemental material is available for this article .

Background and Objectives: Breast-conserving surgery (BCS) is followed by reoperations in approximately 25%. Reoperations lead to an increased risk of infection and wound healing problems as well as a worse cosmetic outcome. Several technical approaches for an intraoperative margin assessment to decrease the reoperation rate are under evaluation, some of them are still experimental., Methods: A prospective single-arm post-marketing study with 60 patients undergoing BCS for ductal carcinoma in situ (DCIS) and invasive breast cancer was conducted. The specimen was intraoperatively examined by the ClearSight™ system, a mobile magnetic resonance imaging system that is based on a diffusion-weighted imaging protocol. However, the results were blinded to the surgeon., Results: The ClearSight™ system was performed for both ductal and lobular breast cancer and DCIS, with a sensitivity of 0.80 (95% confidence interval [CI]: 0.44-0.96) and a specificity of 0.84 (95% CI 0.72-0.92), with an overall diagnostic accuracy of 80%., Conclusion: Had the ClearSight™ been known to the surgeon intraoperatively, the reoperation rate would have been reduced by 83% for invasive carcinoma, from 10% to 2%, and 50% for DCIS, from 30% to 15% reoperations. A trial designed to examine the impact on reoperation rates is currently ongoing., (© 2021 The Authors. Journal of Surgical Oncology published by Wiley Periodicals LLC.)

Objective: The aim of this study was to investigate whether texture analysis of contrast-enhanced T1 weighted images could predict risk of ductal carcinoma in situ (DCIS)., Methods: The study included 185 DCIS lesions that were classified as either low risk or non-low risk using surgical pathology records. All magnetic resonance imaging texture analyses were performed using postprocessing software, and texture-derived parameters were extracted., Results: The sphericity, compactness, and spherical disproportion were significantly different in the low-risk and non-low risk groups using the Van Nuys Prognostic Index (mean ± SD, 0.479 ± 0.189 vs 0.414 ± 0.176, 0.161 ± 0.159 vs 0.112 ± 0.134, and 2.569 ± 1.434 vs 2.934 ± 1.374, respectively; P < 0.05). In the univariate analyses, sphericity (odds ratio, 7.091; 95% confidence interval, 1.236-40.666; P = 0.028) and compactness (odds ratio, 9.267; 95% confidence interval, 1.125-76.360; P = 0.039) were significantly associated with a high probability of being low risk according to the Van Nuys Prognostic Index., Conclusions: Whole-lesion texture analysis may be helpful in identifying patients classified as having low-risk DCIS before surgery., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Importance: The use of magnetic resonance imaging (MRI) in pretreatment planning of ductal carcinoma in situ (DCIS) remains controversial. Understanding changes in short-term health-related quality of life associated with breast MRI would allow for a more complete comparative effectiveness assessment., Objective: To assess whether there are changes in patient-reported quality of life associated with breast MRI among women diagnosed with DCIS., Design, Setting, and Participants: This cohort study was a substudy of a nonrandomized clinical trial conducted at 75 participating US institutions from March 2015 to April 2016. Women recently diagnosed with unilateral DCIS who were eligible for wide local excision and had a diagnostic mammogram within 3 months of study registration were included. A total of 355 women met the eligibility criteria and underwent the study MRI. Data analysis was performed from June 3, 2020, to July 1, 2021., Exposures: Participants underwent bilateral breast MRI within 30 days of study registration and before surgery. Information on patient-reported testing burden for breast MRI was collected after MRI and before surgery., Main Outcomes and Measures: The primary outcome of this substudy was the patient-reported testing burden of breast MRI, measured by the Testing Morbidities Index (TMI) summated scale score. The TMI is a 7-item instrument that evaluates the temporary changes in quality of life associated with imaging before, during, and after the test (0 represents the worst possible, 100 the hypothetical ideal test experience)., Results: Of the 355 women who met the eligibility criteria, 244 (69%) completed both questionnaires and were included in this analysis. The median age was 59 years (range, 34-85 years). The mean MRI TMI summated scale score was 85.9 (95% CI, 84.6-87.3). Of the 244 women, 142 (58%) experienced at least some fear and anxiety before the examination, and 120 women (49%) experienced fear and anxiety during the examination. A total of 156 women (64%) experienced pain or discomfort during the examination. In multivariable analyses, greater test-related burden was associated with higher levels of cancer worry (regression coefficient, -2.75; SE, 0.94; P = .004)., Conclusions and Relevance: In this cohort study, a clinically meaningful breast MRI testing burden among women with DCIS was revealed that was significantly associated with cancer worry. Understanding the potential quality-of-life reduction associated with MRI, especially when used in combination with mammography, may allow development of targeted interventions to improve the patient experience.

Background There are limited data from clinical trials describing preoperative MRI features and performance in the evaluation of mammographically detected ductal carcinoma in situ (DCIS). Purpose To report qualitative MRI features of DCIS, MRI performance in the identification of additional disease, and associations of imaging features with pathologic, genomic, and surgical outcomes from the Eastern Cooperative Oncology Group-American College of Radiology Imaging Network (ECOG-ACRIN) E4112 trial. Materials and Methods Secondary analyses of a multicenter prospective clinical trial from the ECOG-ACRIN Cancer Research Group included women with DCIS diagnosed with conventional imaging techniques (mammography and US), confirmed via core-needle biopsy (CNB), and enrolled between March 2015 and April 2016 who were candidates for wide local excision (WLE) based on conventional imaging and clinical examination results. DCIS MRI features and pathologic features from CNB and excision were recorded. Each woman without invasive upgrade of the index DCIS at WLE received a 12-gene DCIS score. MRI performance metrics were calculated. Associations of imaging features with invasive upgrade, dichotomized DCIS score (<39 vs ≥39), and single WLE success were estimated in uni- and multivariable analyses. Results Among 339 women (median age, 60 years; interquartile range, 51-66 years), most DCIS cases showed nonmass enhancement (NME) (195 of 339 [58%]) on MRI scans with larger median size than on mammograms (19 mm vs 12 mm; P < .001). Positive predictive value of MRI-prompted CNBs was 32% (21 of 66) (95% CI: 22, 44), yielding an additional cancer detection rate of 6.2% (21 of 339) (95% CI: 4.1, 9.3). MRI false-positive rate was 14.2% (45 of 318) (95% CI: 10.7, 18.4). No imaging features were associated with invasive upgrade or DCIS score ( P = .05 to P = .95). Smaller size and focal NME distribution at MRI were linked to single WLE success ( P < .001). Conclusion Preoperative MRI depicted ductal carcinoma in situ (DCIS) diagnosed with conventional imaging most commonly as nonmass enhancement, with larger median span than mammography, and additional cancer detection rate of 6.2%. MRI features of this subset of DCIS did not enable prediction of pathologic or genomic outcomes. Clinical trial registration no. NCT02352883 © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Kuhl in this issue. An earlier incorrect version of this article appeared online. This article was corrected on August 4, 2021.

Purpose: To investigate effective model composed of features from ultrafast dynamic contrast-enhanced magnetic resonance imaging (UF-MRI) for distinguishing low- from non-low-grade ductal carcinoma in situ (DCIS) lesions or DCIS lesions upgraded to invasive carcinoma (upgrade DCIS lesions) among lesions diagnosed as DCIS on pre-operative biopsy., Materials and Methods: Eighty-six consecutive women with 86 DCIS lesions diagnosed by biopsy underwent UF-MRI including pre- and 18 post-contrast ultrafast scans (temporal resolution of 3 s/phase). The last phase of UF-MRI was used to perform 3D segmentation. The time point at 6 s after the aorta started to enhance was used to obtain subtracted images. From the 3D segmentation and subtracted images, enhancement, shape, and texture features were calculated and compared between low- and non-low-grade or upgrade DCIS lesions using univariate analysis. Feature selection by least absolute shrinkage and selection operator (LASSO) algorithm and k-fold cross-validation were performed to evaluate the diagnostic performance., Results: Surgical specimens revealed 16 low-grade DCIS lesions, 37 non-low-grade lesions and 33 upgrade DCIS lesions. In univariate analysis, five shape and seven texture features were significantly different between low- and non-low-grade lesions or upgrade DCIS lesions, whereas enhancement features were not. The six features including surface/volume ratio, irregularity, diff variance, uniformity, sum average, and variance were selected using LASSO algorism and the mean area under the receiver operating characteristic curve for training and validation folds were 0.88 and 0.88, respectively., Conclusion: The model with shape and texture features of UF-MRI could effectively distinguish low- from non-low-grade or upgrade DCIS lesions., (© 2021. The Japanese Breast Cancer Society.)

Background: A preoperative diagnosis of ductal carcinoma in situ (DCIS) is sometimes upstaged to invasive disease postoperatively. Our objective was to clarify the predictive factors of invasive disease using preoperative imaging and to investigate the positive ratio of sentinel lymph nodes (SLN) and the incidence of invasive disease., Methods: The subjects were 402 patients with preoperatively diagnosed ductal carcinoma without stromal invasion who underwent breast surgery with concomitant SLN surgery in January 2007 to December 2016. Of the 306 included patients, all 306 patients underwent preoperative MRI and US assessment. Outcomes were analyzed for significance using univariate and multivariate analyses., Results: Of the 306 patients, 115 (37.6%) had invasive disease and 191 (62.4%) had DCIS only. Of the 115 patients with invasive disease, 5 (4.4%) and 4 (3.5%) had macro- and micrometastases in SLN. On the other hand, of the 191 patients with DCIS, only 1 (0.5%) had a micrometastasis. Predictors of invasive disease in the univariate analysis included having a palpable mass, were varied by biopsy method, having a US hypoechoic mass, MRI enhancement, or MRI large enhanced lesion; the size of the mass enhancement ≥ 1.1 cm or a spread of non-mass enhancement ≥ 3.1 cm (P = 0.003). Predictors of invasive disease in the multivariate analysis included US hypoechoic mass and MRI large enhanced lesion., Conclusion: We need to perform SLN biopsy for preoperatively diagnosed DCIS when patients have predictors of invasive disease, but SLN biopsy will no longer be essential for patients when they have no predictors of invasive disease.

Purpose: To determine if pre-operative MRI is useful for identifying additional disease that would impact surgical management in women with ductal carcinoma in situ (DCIS)., Methods: We conducted a retrospective review of consecutive women with calcifications at mammography yielding DCIS at core biopsy from 2007 to 2016 who subsequently underwent MRI examinations. Patient characteristics, imaging findings, and pathology outcomes were collected from the medical records. Standard statistical tests were used to compare the patients who underwent MRI examinations (MRI group) and those who did not (no MRI group)., Results: 963 women (age 58 years, range 28-89 years) presented with calcifications that yielded DCIS at biopsy, of whom 236 (24.5 %) underwent MRI examinations. The MRI group was younger, less likely to have a prior breast cancer, and more likely to have dense breasts than the no MRI group (all p < 0.001). 66 women (28.0 %) had 80 MRI findings that were recommended for work-up and/or biopsy. 21 patients had 23 MRI findings that were not pursued pre-operatively, and 45 patients with 57 MRI findings underwent biopsy. The positive predictive value of biopsies performed (PPV3) was 45.6 % (26/57). 26 cancers were detected in 24 women; thus, MRI detected additional sites of cancer in 11.2 % (24/215) of patients. Of the 26 cancers, 13 (50.0 %) were DCIS and 13 (50.0 %) were invasive., Conclusions: MRI in selected women with DCIS identified additional sites of disease in 11.2 % and thus could be considered in the pre-operative evaluation of this specific patient cohort., Competing Interests: Declaration of Competing Interest Dr. Lehman has served as an advisory board member for GE Healthcare and her institution has received research support from GE Healthcare. Dr. Lehman did not analyze or control the data. There are no other declarations of interest., (Copyright © 2020 Elsevier B.V. All rights reserved.)

The aim of this study was to analyze kinetic and morphologic features using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with computer-aided diagnosis (CAD) to predict occult invasive components in cases of biopsy-proven ductal carcinoma in situ (DCIS).We enrolled 138 patients with 141 breasts who underwent preoperative breast MRI and were diagnosed with DCIS via ultrasonography (US)-guided core needle biopsy performed at our institution during January 2009 to December 2012. Their clinical, mammographic, ultrasonographic, MRI, and final histologic findings were retrospectively reviewed. Their mammographic, ultrasonographic, and MRI findings were analyzed according to the American College of Radiology Breast Imaging Reporting and Data System. CAD findings of detectability, initial (fast, medium, and slow) and delay (persistent, plateau, and washout) phase enhancement kinetic descriptor, peak enhancement percentage, and lesion size were evaluated. Continuous and categorical variables were analyzed using independent t test and χ or Fisher exact test, respectively. Independent factors for predicting the presence of invasive component were evaluated by multivariate logistic regression analysis.Final histologic findings revealed that 55 breasts (39%) had DCIS with an invasive component. MRI-detected, CAD-detected, or pathologic lesion size (P = .002, P = .001, P < .001, respectively), delay washout kinetics and detectability on CAD (P < .001 and P = .004, respectively), presence of symptoms (P = .01), presence of comedonecrosis (P < .001), nuclear grade (P = .001), abnormality on mammography (P = .02), or US (P = .03) were significantly different between pure DCIS and the DCIS with an invasive component group on univariate analysis. Of those findings, multivariate analysis revealed that delay washout on CAD (odds ratio [OR], 4.36; 95% confidence interval [CI], 1.96-9.69; P = .0003) and pathologic size (OR, 1.29; 95% CI 1.05-1.57; P = .014) were independent predictive factors for the presence of an invasive component.Delay washout kinetic features measured by CAD and pathologic tumor size are potentially useful for predicting occult invasion in cases of biopsy-proven DCIS.Breast MRI including a CAD system would be helpful for predicting invasive components in cases of biopsy-proven DCIS and for selecting patients for sentinel lymph node biopsy.

Purpose: To evaluate the diagnostic performance of dynamic contrast-enhanced (DCE)-MRI in predicting malignancy after percutaneous biopsy diagnosis of atypical ductal hyperplasia (ADH)., Methods and Materials: In this retrospective study, 68 lesions (66 women) with percutaneous biopsy diagnosis of ADH and pre-operative breast DCE-MRI performed between January 2016 and December 2017 were included. Two radiologists reviewed in consensus mammography, ultrasound, and MR images. The final diagnosis after surgical excision was used as standard of reference. Clinical and imaging features were compared in patients with and without upgrade to malignancy after surgery. The diagnostic performance of DCE-MRI in predicting malignant upgrade was evaluated., Results: A 9-gauge vacuum-assisted biopsy was performed in 40 (58.8%) cases and a 14-gauge core needle biopsy in 28 (41.2%) cases. Upgrade to malignancy was observed in 17/68 (25%) lesions, including 4/17 (23.5%) cases of invasive cancer and 13/17 (76.5%) cases of ductal carcinoma in situ (DCIS). In 16/17 (94.1%) malignant and 20/51 (39.2%) benign lesions, a suspicious enhancement could be recognized in DCE-MRI. The malignant lesion without suspicious enhancement was a low-grade DCIS (4 mm size). Sensitivity, specificity, positive predictive value, and negative predictive value of DCE-MRI on predicting malignancy were respectively 94.1%, 60.7%, 44.4%, and 96.8%. No other clinical or imaging features were significantly different in patients with and without upgrade to malignancy., Conclusion: After a percutaneous biopsy diagnosis of ADH, malignancy can be ruled out in most of the cases, if no suspicious enhancement is present in the biopsy area at DCE-MRI. Breast DCE-MRI may be used to avoid surgery in more than half of the patients with final benign diagnosis., Key Points: • Breast DCE-MRI can safely rule out malignancy if no suspicious enhancement is present in the biopsy area after a percutaneous biopsy diagnosis of ADH. • All cases of upgrade to high-grade DCIS and invasive cancers can be identified at breast DCE-MRI after a percutaneous biopsy diagnosis of ADH. • Breast DCE-MRI may be used to avoid surgery in more than half of the patients with final benign diagnosis.

Background: We sought to determine the diagnostic efficacy of Breast-specific gamma imaging (BSGI) in Chinese women with BI-RADS 4 category lesions and to compare this efficacy to that of ultrasound/mammography., Methods: We retrospectively analyzed data from 177 women that had undergone BSGI of BI-RADS 4 category lesions originally detected via ultrasound and/or mammography., Results: Of these 177 cases, 117 (66.1%) were malignant lesions and 60 (33.9%) were benign. The sensitivity, specificity, positive predictive values, and negative predictive values of BSGI were 94.9% (111/117), 78.3% (47/60), 89.5% (111/124), and 88.7% (47/53), respectively. The specificity and positive predictive values for mammography were 48.3% (29/60) and 77.5% (107/138), while for ultrasound they were 53.3% (32/60) and 79.6% (109/137), respectively. The sensitivity and specificity of BSGI for the detection of lesions ≤1 cm in size were 90.9% (10/11) and 88.0% (22/25), respectively, while for breast lesions >1 cm in size these values were 94.3% (100/106) and 71.4% (25/35), respectively. In addition, BSGI sensitivity and specificity values for dense breast tissue were 94.0% (79/84) and 78.0% (39/50), respectively, whereas for non-dense breast tissue these vales were 97.0% (32/33) and 80.0% (8/10), respectively. The sensitivity of BSGI for invasive ductal carcinomas (IDC) and ductal carcinomas in situ (DCIS) was 98.9% (95/96) and 75.0% (9/12), respectively. The tumor to normal tissue ratio of BSGI for malignant lesions was significantly higher than for benign lesions (2.18 ± 1.17 vs 1.66 ± 0.40, t = 7.56, P<0.05)., Conclusions: These results indicate that BSGI is highly sensitive for the detection of such lesions, achieving good positive/negative predictive values. This suggests that for IDC in particular, BSGI is superior to ultrasound and mammography for the diagnosis of BI-RADS 4 category lesions, although this was less apparent for the diagnosis of DCIS lesions. BSGI exhibited excellent performance in dense breast tissue and for the detection of lesions ≤1 cm in size.

Background: Computer-aided detection (CAD) can detect breast lesions by using an enhancement threshold. Threshold means the percentage of increased signal intensity in post-contrast imaging compared to precontrast imaging. If the pixel value of the enhanced tumor increases above the set threshold, CAD provides the size of the tumor, which is calculated differently depending on the set threshold. Therefore, CAD requires the accurate setting of thresholds. We aimed to compare the diagnostic accuracy of tumor size measurement using MRI and CAD with 3 most commonly used thresholds and to identify which threshold is appropriate on CAD in breast cancer patients., Methods: A total of 130 patients with breast cancers (80 invasive cancers and 50 ductal carcinoma in situ [DCIS]) who underwent preoperative MRI with CAD and surgical treatment were included. Tumor size was manually measured on first contrast-enhanced MRI and acquired by CAD using 3 different thresholds (30, 50, and 100%) for each tumor. Tumor size measurements using MRI and CAD were compared with pathological sizes using Spearman correlation analysis. For comparison of size discrepancy between imaging and pathology, concordance was defined as estimation of size by imaging within 5 mm of the pathological size. Concordance rates were compared using Chi-square test., Results: For both invasive cancers and DCIS, correlation coefficient rho (r) between tumor size on imaging and pathology was highest at CAD with 30% threshold, followed by MRI, CAD with 50% threshold, and CAD with 100% threshold (all p <  0.05). For invasive cancers, the concordance rate of 72.5% at CAD with 30% threshold showed no difference with that of 62.5% at MRI (p = 0.213). For DCIS, the concordance rate of 30.0% at CAD with 30% threshold showed no difference with that of 36.0% at MRI (p = 0.699). Compared to MRI, higher risk of underestimation was noted when using CAD with 50% or 100% threshold for invasive cancers and when using CAD with 100% threshold for DCIS., Conclusion: For CAD analysis, 30% threshold is the most appropriate threshold whose accuracy is comparable to manual measurement on MRI for tumor size measurement. However, clinicians should be aware of the higher risk of underestimation when using CAD with 50% threshold for tumor staging in invasive cancers.

Importance: Improved screening methods for women with dense breasts are needed because of their increased risk of breast cancer and of failed early diagnosis by screening mammography., Objective: To compare the screening performance of abbreviated breast magnetic resonance imaging (MRI) and digital breast tomosynthesis (DBT) in women with dense breasts., Design, Setting, and Participants: Cross-sectional study with longitudinal follow-up at 48 academic, community hospital, and private practice sites in the United States and Germany, conducted between December 2016 and November 2017 among average-risk women aged 40 to 75 years with heterogeneously dense or extremely dense breasts undergoing routine screening. Follow-up ascertainment of cancer diagnoses was complete through September 12, 2019., Exposures: All women underwent screening by both DBT and abbreviated breast MRI, performed in randomized order and read independently to avoid interpretation bias., Main Outcomes and Measures: The primary end point was the invasive cancer detection rate. Secondary outcomes included sensitivity, specificity, additional imaging recommendation rate, and positive predictive value (PPV) of biopsy, using invasive cancer and ductal carcinoma in situ (DCIS) to define a positive reference standard. All outcomes are reported at the participant level. Pathology of core or surgical biopsy was the reference standard for cancer detection rate and PPV; interval cancers reported until the next annual screen were included in the reference standard for sensitivity and specificity., Results: Among 1516 enrolled women, 1444 (median age, 54 [range, 40-75] years) completed both examinations and were included in the analysis. The reference standard was positive for invasive cancer with or without DCIS in 17 women and for DCIS alone in another 6. No interval cancers were observed during follow-up. Abbreviated breast MRI detected all 17 women with invasive cancer and 5 of 6 women with DCIS. Digital breast tomosynthesis detected 7 of 17 women with invasive cancer and 2 of 6 women with DCIS. The invasive cancer detection rate was 11.8 (95% CI, 7.4-18.8) per 1000 women for abbreviated breast MRI vs 4.8 (95% CI, 2.4-10.0) per 1000 women for DBT, a difference of 7 (95% CI, 2.2-11.6) per 1000 women (exact McNemar P = .002). For detection of invasive cancer and DCIS, sensitivity was 95.7% (95% CI, 79.0%-99.2%) with abbreviated breast MRI vs 39.1% (95% CI, 22.2%-59.2%) with DBT (P = .001) and specificity was 86.7% (95% CI, 84.8%-88.4%) vs 97.4% (95% CI, 96.5%-98.1%), respectively (P < .001). The additional imaging recommendation rate was 7.5% (95% CI, 6.2%-9.0%) with abbreviated breast MRI vs 10.1% (95% CI, 8.7%-11.8%) with DBT (P = .02) and the PPV was 19.6% (95% CI, 13.2%-28.2%) vs 31.0% (95% CI, 17.0%-49.7%), respectively (P = .15)., Conclusions and Relevance: Among women with dense breasts undergoing screening, abbreviated breast MRI, compared with DBT, was associated with a significantly higher rate of invasive breast cancer detection. Further research is needed to better understand the relationship between screening methods and clinical outcome., Trial Registration: ClinicalTrials.gov Identifier: NCT02933489.

Purpose: To evaluate the rate of concordance between pathology and preoperative breast MRI performed with an abbreviated protocol (AP) or a full diagnostic protocol (FDP) for estimation of the tumour extent in patients with pure ductal carcinoma in situ (DCIS)., Methods: This retrospective study included 164 patients with pathologically proven DCIS who underwent preoperative breast MRI. Two radiologists independently evaluated the tumour extent on MRI with (FDP) and without the delayed phase (AP) and compared the readings with the pathological tumour extent. The background parenchymal enhancement (BPE) and morphology were also evaluated. Furthermore, the influence of the degree of BPE, presence or absence of B2 and B3 lesions, and pathological DCIS grade on the accuracy of MRI findings was assessed. Concordance between MRI and pathology was evaluated using correlation analysis., Results: Spearman's rank correlation coefficients for the concordance between MRI and pathology were 0.63 (reader 1) and 0.69 (reader 2) with AP and 0.65 and 0.73 (readers 1 and 2, respectively) with FDP. For both readers, the difference in the measured value between FDP and pathology was significantly smaller than that between AP and pathology (p < 0.001). The inter-reader variation in the measured tumour extent was larger with FDP than with AP. The presence of B3 lesions, low-grade DCIS, and moderate/marked BPE lowered the rate of concordance between MRI and pathology., Conclusions: Our findings suggest that preoperative MRI with FDP is more accurate than that with AP alone for estimation of the tumour extent in patients with pure DCIS., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Purpose: To compare the sensitivity for breast cancer (BC) and BC size estimation of preoperative contrast-enhanced magnetic resonance imaging (CEMRI) versus combined unenhanced magnetic resonance imaging (UMRI) and digital breast tomosynthesis (DBT)., Patients and Methods: We retrospectively included 56 women who underwent DBT and preoperative 1.5 T CEMRI between January 2016-February 2017. Three readers with 2-10 years of experience in CEMRI and DBT, blinded to pathology, independently reviewed CEMRI (diffusion-weighted imaging [DWI], T2-weighted imaging, pre- and post-contrast T1-weighted imaging) and a combination of UMRI (DWI and pre-contrast T1-weighted imaging) and DBT. We calculated per-lesion sensitivity of CEMRI and UMRI + DBT, and the agreement between CEMRI, UMRI and DBT versus pathology in assessing cancer size (Bland-Altman analysis). Logistic regression was performed to assess features predictive of cancer missing., Results: We included 70 lesions (64% invasive BC, 36% ductal carcinoma in situ or invasive BC with in situ component). UMRI + DBT showed lower sensitivity (86-89%) than CEMRI (94-100%), with a significant difference for the most experienced reader only (p = 0.008). False-positives were fewer with UMRI + DBT (4-5) than with CEMRI (18-25), regardless of the reader (p = 0.001-0.005). For lesion size, UMRI showed closer limits of agreement with pathology than CEMRI or DBT. Cancer size ≤1 cm was the only independent predictor for cancer missing for both imaging strategies (Odds ratio 8.62 for CEMRI and 19.16 for UMRI + DBT)., Conclusions: UMRI + DBT showed comparable sensitivity and less false-positives than CEMRI in the preoperative assessment of BC. UMRI was the most accurate tool to assess cancer size., Competing Interests: Declaration of competing interest Francesco Sardanelli declares to have received grants from or being member of the speakers’ bureau/advisory board for Bayer-Schering, Bracco, and General Electric. All the other authors have no conflict of interest to declare., (Copyright © 2019. Published by Elsevier Ltd.)

Background: Metaplastic breast cancer (MC) is a rare disease, thus it is difficult to study its clinical outcomes., Objectives: To investigate whether any clinicopathological or imaging features were associated with clinical outcome in MC., Methods: We retrospectively evaluated the clinicopathological and imaging findings, and the clinical outcomes of seventy-two pathologically confirmed MCs. We then compared these parameters between triple-negative (TNMC) and non-TNMCs (NTNMC)., Results: Oval or round shape, and not-circumscribed margin were the most common findings on mammography, ultrasound (US), and magnetic resonance imaging (MRI). It was mostly a mass without calcification on mammography, and revealed complex or hypoechoic echotexture, and posterior acoustic enhancement on US, and rim enhancement, wash-out kinetics, peritumoral edema, and intratumoral necrosis on MRI. Of all 72, 64 were TNMCs, and eight were NTNMCs. Clinicopathological and imaging findings were similar between the two groups, except that MRI showed peritumoral edema more frequently in TNMCs than NTNMCs (p=0.045). There were 21 recurrences and 13 deaths. Multivariable analysis showed that larger tumor size and co-existing DCIS were significantly predictive of Disease free survival (DFS), and larger tumor size and neoadjuvant chemotherapy were significantly predictive of overall survival (OS)., Conclusion: MC showed characteristic imaging findings, and some variables associated with survival outcome may help to predict prognosis., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Objective: To explore the value of a radiomics approach based on MRI texture analysis (TA) in identifying intraductal carcinoma of the prostate gland (IDCP)., Methods: MRI images of 56 patients with pathological proven prostate cancer were analyzed retrospectively, including 31 patients with pure prostate adenocarcinoma and 25 patients with IDCP component in the prostate adenocarcinoma lesions. After imaging features of lesions were analyzed, then enhanced arterial and venous phase images were imported into Omni-Kinetics software for the extraction the TA features of region of interests' lesion according to the T2-weighted imaging. In order to set up a regression prediction model which based on texture parameters and morphological features. Furthermore, the comparison of diagnostic accuracy of each TA regression models were assessed by operating characteristic curves (ROC)., Results: Among the imaging features of peripheral lesions, the incidence of surgical capsule invasion, prostatic capsule involvement, and seminal vesicle invasion in patients with IDCP was higher than that in patients with adenocarcinoma alone ( P <0.05). Among the imaging features of transitional zone lesions, patients with adenocarcinoma containing IDCP had a higher incience of imaging features as benign prostatic hyperplasia, extracapsular invasion of the prostate, seminal vesicles invasion, and vascular nerve bundles than that in pure adenocarcinoma group ( P <0.05). In order to differential diagnosis of simple adenocarcinoma and adenocarcinoma containing IDCP, 4 arterial phase texture features were used to build the regression model in the peripheral zone group, and the area under the curve ( AUC ) of the TA model and combined model with or without seminal vesicles invasion were 0.890 and 0.938, respectively. In the transitional zone group, 2 arterial phase texture features and 2 venous phase features were used in TA regression model, and the AUC of texture model and the combined model with or without vascular nerve bundles were 0.844 and 0.901, respectively., Conclusion: The incidence of adenocarcinoma with IDCP is higher in high-grade invasive prostate cancer. It is wonderful that when compared with T2WI, enhanced sequential texture analysis is more valuable when using the radiomics approach based on MRI texture analysis in identifying IDCP in prostate cancer., (Copyright© by Editorial Board of Journal of Sichuan University (Medical Science Edition).)

Introduction: The purpose of this study was to evaluate mammographic and magnetic resonance imaging (MRI) features in B3 lesions., Patients and Methods: From 2011 to 2018, 139 patients with histologically proven B3 lesions who underwent mammography or/and MRI, were retrospectively reviewed. B3 lesions were classified in: atypical ductal hyperplasia (ADH), lobular neoplasia (LN), papillary lesion (PL), radial scar (RS), flat epithelial atypia (FEA), phyllodes tumor (PT), or mesenchymal lesion. Imaging features evaluated were: the presence of microcalcifications, mass and architectural distortions on mammograms and type of margins (circumscribed, irregular, spiculate), enhancement (mass-like, non-mass-like), size (≤ 15 mm, > 15 mm), and kinetics curves (I, II, III) on MRI. The definitive histologic results confirmed benign lesion or were upgraded to malignancy, and the positive predictive value was calculated., Results: Histologic classification of B3 lesions counted 45 (32.37%) ADH, 12 (8.63%) LN, 25 (17.99%) PL, 5 (3.61%) RS, 31 (22.31%) FEA, 20 (14.39%) PT, and 1 (0.70%) mesenchymal lesion. One hundred seven patients had mammography, and 38 had MRI. In 90 (65%) cases, the histologic diagnosis confirmed B3, in 15 (11%) cases, benign lesion, and in 34 (24%) cases, malignancies were found, with best positive predictive value for mesenchymal tumor (1), ADH (0.36), and FEA (0.4). Significant correlations comparing core needle biopsy groups and microcalcifications (P = .016) and presence of mass (P = .002) and comparing definitive histology with the presence of mass (P = .023), were found. Regarding MRI, the morphology correlated with core needle biopsy groups (P = .038); morphology (P = .024), dimension (P = .040), and kinetic curve (P = .005) correlated with malignancy., Conclusions: The B3 category includes different entities, with various risk of malignancy; their heterogeneity is associated with specific mammographic and MRI features, although further confirmations are needed., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Purpose: We aimed to evaluate the detectability of contrast enhancing lesions, initially demonstrated in standard prone dynamic contrast-enhanced MRI (DCE-MRI), in a supplementary supine breast MRI examination performed following the standard prone DCE-MRI examination and to show the correlation of spatial displacement of the lesions with breast size and density., Methods: Forty-two patients with 45 lesions were prospectively evaluated. Supine breast MRI was acquired with a 6-channel body coil following a standard DCE-MRI in prone position after repositioning the patient. No additional contrast media was administered. Images were evaluated by two radiologists in consensus for the visibility of the lesions. Lesion localization relative to the sternal midline, chest wall and nipple was measured in both prone and supine positions. Correlations between lesion displacement and breast size or breast density were analyzed., Results: Of 45 lesions, 23 (52.3%) were masses, 22 (47.7%) were nonmass enhancements (NME). Forty-four lesions (97.8%) could be detected on supine images. One linear NME of 33 mm in length could not be seen on supine images. Twenty (46.5%) of the detected lesions in supine position were equal to or smaller than 10 mm (11 NME [55%] and 9 masses [45%]). Lesion displacement relative to the chest wall increased with increasing breast size (P < 0.001)., Conclusion: An abbreviated supine sequence following a standard prone DCE-MRI with single contrast media administration is an effective method for defining the lesion location in supine position.

The purpose is to determine whether an abbreviated MRI protocol (ABMR) is ready to be used for breast cancer screening in an academic practice setting. Two hundred and fifty nine breast MRIs from 1/1/2012 to 6/30/2012 were retrospectively reviewed using ABMR (MIP, Pre-contrastT1, single dynamic post-contrastT1, and subtraction). Five breast radiologists (4-28 year-expr) participated in this reader study performed in two phases: Phase1 - radiologist's privy to clinical history but not to comparison imaging. Phase2 - radiologists provided comparison imaging. For phase1, studies were reviewed using three steps: (a) MIP only (positive/negative/intermediate); (b) ABMR (recall/no recall) and (c) With T2 (for changes in recommendations). Radiologist also recorded total time for interpretation. In Phase2 the MRIs coded as "recall" were re-reviewed with available comparison studies, noting changes in final recommendation. The abnormal interpretation rates (AIRs) were calculated for phase1 and phase2 results with comparison to the original full protocol. Of the 259 patients (avg. age-52 years; range 26-78), there were seven cancers (three invasive, three DCIS and one breast lymphoma). Acquisition time for ABMR was 3 minutes, ABMR + T2-8 minutes, and original full protocol 16 minutes. Average MIP was positive or indeterminate in 86% (6/7) and negative in 14% (1/7) cancers. The average AIR for MIP only was 20.8% (sens-77.1%; spec-80.8%. The AIR w/o comparisons was 25.6% (sens-91.4%; spec- 76.2%); however the average AIR decreased in phase 2 with comparisons to 13.7% (sens-91.4%; spec-88.5%). The AIR of the original full protocol read was 16.2% (sens-100%; spec-85.7%). Addition of T2 changed assessment in only 3% (1.2%-6.5%). Avg. read time for ABMR including T2 was 2.5 minutes (1.6-4.0 minutes). ABMR is reliable for breast cancer screening, with acceptable interpretation time and acceptable AIR., (© 2019 Wiley Periodicals, Inc.)

Purpose: We evaluated the addition of breast magnetic resonance imaging (MRI) to standard radiologic evaluation on the re-intervention rate in women with ductal carcinoma in situ (DCIS) undergoing breast-conserving surgery., Patients and Methods: Women with biopsy-proven DCIS corresponding to a unifocal microcalcification cluster or a mass less than 30 mm were randomly assigned to undergo MRI or standard evaluation. The primary end point was the re-intervention rate for positive or close margins (< 2 mm) in the 6 months after randomization ( ClinicalTrials.gov identifier: NCT01112254)., Results: A total of 360 patients from 10 hospitals in France were included in the study. Of the 352 analyzable patients, 178 were randomly assigned to the MRI arm, and 174 were assigned to the control arm. In the intent-to-treat analysis, 82 of 345 patients with the assessable end point were reoperated for positive or close margins within 6 months, resulting in a re-intervention rate of 20% (35 of 173) in the MRI arm and 27% (47 of 172) in the control arm. The absolute difference of 7% (95% CI, -2% to 16%) corresponded to a relative reduction of 26% (stratified odds ratio, 0.68; 95% CI, 0.41 to 1.1; P = .13). When considering only the per-protocol population with an assessable end point, the difference was 9% (stratified odds ratio, 0.59; 95% CI, 0.35 to 1.0; P = .05). Total mastectomy rates were 18% (31 of 176) in the MRI arm and 17% (30 of 173) in the control arm (stratified P = .93). For 100 lesions seen on MRI, nonmass-like enhancement was more predominant (82%) than mass enhancement (20%). Nevertheless, no specific morphologic and kinetic parameters for DCIS were identified., Conclusion: The study did not show sufficient surgical improvement with the use of preoperative MRI to be clinically relevant in DCIS staging. However, this could be reconsidered with the improvement of new MRI sequences and new modalities in magnetic resonance techniques.

Skin-sparing mastectomy (SSM) with immediate reconstruction is standard surgical treatment for early breast cancer with widespread ductal carcinoma in situ (DCIS). The local recurrence rate after SSM is up to 7.0%. We investigated prediction of the pathological margin using contrast-enhanced MRI, and evaluated the cut-off point to obtain the safety margin. We performed SSM with immediate reconstruction in 216 early breast cancer patients with widespread DCIS and/or invasive cancer from January 2014 to December 2015. Forty cases were retrospectively reviewed after excluding those with >15 mm between skin and tumor, determined by preoperative contrast-enhanced MRI, or involving reconstructive surgery for local recurrence, immeasurable lesion by preoperative contrast-enhanced MRI, or neoadjuvant chemotherapy. We defined a positive pathological margin as <1 mm from the cancer nest. We reviewed the distance between skin and tumor by MRI and pathological examination. To identify the cut-off for predicting a positive pathological margin, we performed sensitivity analysis using an ROC curve. The margin-positive rate by pathological examination was 27.5% (n = 11/40), with a moderate correlation of MRI margin and pathological margin (r = 0.44). The best cut-off point for margin positivity was 5 mm of MRI margin, with sensitivity and specificity of 54% and 86%, respectively (P = 0.009). This is the first prediction of pathological margin by preoperative contrast-enhanced MRI in early breast cancer patients with SSM. Care is required for SSM if the MRI margin is less than 5 mm due to pathological margin positivity., (© 2019 Wiley Periodicals, Inc.)

Given the increasing understanding of cancer as a heterogeneous group of diseases, detection methods should offer a sensitivity profile that ensures perfect sensitivity for biologically important cancers while screening out self-limiting pseudocancers. However, mammographic screening is biased toward detection of ductal carcinoma in situ and slowly growing cancers-and thus frequently fails to detect biologically aggressive cancers. This explains the persistently high rates of interval cancers and high rates of breast cancer mortality observed in spite of decades of mammographic screening. Magnetic resonance imaging (MRI), in contrast, has a sensitivity profile that matches clinical needs. Conventional MRI is not suitable for population-wide screening due to high cost, limited tolerability, and lack of availability. We introduced abbreviated MRI in 2014. Abbreviated MRI will change the way MRI is used in clinical medicine. This article describes the rationale to use MRI in general, and abbreviated MRI in particular, for breast cancer screening.

Background: Enhanced magnetic resonance imaging (MRI) and ultrasonography (US) are used to assess residual lesions after preoperative chemotherapy before surgery. However, residual lesion assessments based on preoperative imaging often differ from postoperative pathologic diagnoses. We retrospectively reviewed the accuracy of preoperative residual lesion assessments, including ductal carcinoma in situ (DCIS) cases to find criteria for cases in which surgery can be omitted., Methods: We reviewed 201 patients who received preoperative chemotherapy and surgery in our hospital from January 2013 to November 2016. Presurgical evaluations regarding the possible existence of residual lesions, and clinical Complete Response (cCR) or non-cCR, were compared with postoperative pathological diagnoses., Results: Of the 201 patients, 52 were diagnosed with cCR, and 39 with pathological complete response (pCR). Predictions for residual lesions were 86.4% sensitive, 76.9% specific, and 84.6% accurate. When patients were divided into 4 groups by estrogen receptor (ER) and HER2 status, sensitivity in each group was ER + /HER2 - : 91.4%; ER - /HER2 - : 94.1%; ER + /HER2 + : 78.6%; and ER - /HER2 + : 78.5%. Of the 22 patients preoperatively assessed with cCR, but diagnosed with non-pCR, the median invasive residual tumor size was 2 mm (range 0-46 mm); 5 patients (22.7%) had only DCIS., Conclusions: Predicting residual lesions after preoperative chemotherapy by using MRI and US is a reasonable strategy. However, current methods are inadequate for identifying patients who can omit surgery; therefore, a new strategy for detecting small tumors in these patients is needed.

Rationale and Objective: The objective of this study was to evaluate breast lesion outcomes in patients after canceled MRI-guided breast biopsy due to lesion nonvisualization., Materials and Methods: Electronic medical records (January 2007-December 2014) were searched for patients with canceled magnetic resonance imaging (MRI)-guided breast biopsies due to lesion nonvisualization. A total of 1403 MRI-detected lesions were scheduled for MRI-guided biopsy and 89 were canceled because of nonvisualization. Imaging studies and medical records were reviewed for patient demographics, lesion characteristics, and subsequent malignancy. Patients without adequate MRI follow-up imaging were excluded. Statistical analysis was employed to determine if patient demographics or lesion characteristics were predictive of lesion resolution or lesion biopsy after subsequent follow-up., Results: Eighty-nine (6.3% [89/1403]; 95% confidence interval, 5.2%-7.7%) biopsies in 89 women were canceled because of nonvisualization. Follow-up MRIs greater than 5.5 months were available for 60.7% (54/89) of women. In 74.1% (40/54) of these patients, the lesions completely resolved on follow-up. In 25.9% (14/54) of the patients, the lesion persisted on follow-up; 42.9% (6/14) of these patients underwent biopsy. One case (1.9% [1/54]) yielded ductal carcinoma in situ with microinvasion at the 6-month follow-up. No patient demographics or lesion features were associated with lesion resolution or lesion biopsy., Conclusions: The majority of canceled MRI-guided biopsy lesions resolved on later follow-up; however, because of the small possibility of a missed malignancy, follow-up MRI imaging at 6 months is recommended., (Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)

Purpose: The study sought to investigate the role of breast magnetic resonance imaging (MRI) in patients diagnosed with atypical ductal hyperplasia (ADH) at core needle biopsy (CNB)., Methods: The breast MRI database at our centre was queried for studies performed between January 2010 and December 2016 for the clinical indication of ADH diagnosed at CNB. Medical files were reviewed for demographic data, clinical information, and radiology and pathology reports. Pathological results of the surgical specimens were considered the gold standard for comparison with breast MRI findings. In women not undergoing excision, at least 2 years of follow-up was used to ascertain the benign nature of the finding., Results: Fifty patients were included in the study. Thirty-one (62%) patients had surgical excision of the ADH lesion, and 7 (23%) were upgraded to malignancy. Breast MRI accurately identified 6 of the 7 cases. Six of the 12 women (50%) with positive MRI findings at the biopsy site were upgraded to malignancy on surgical pathology, compared with only 1 of 19 (5%) with negative MRI findings. Forty-nine percent of the women with a negative MRI did not undergo surgical excision of the ADH lesion, compared with 8% of the women with a positive MRI (P = .009), with no cancer diagnosed during follow-up. The sensitivity, specificity, negative predictive value, and positive predictive value of breast MRI for predicting upgrade to malignancy were 86%, 83%, 97%, and 46%, respectively., Conclusions: MRI may have a role in the management of women diagnosed with ADH on CNB, to minimize diagnostic excisional biopsies., (Copyright © 2018 Canadian Association of Radiologists. Published by Elsevier Inc. All rights reserved.)

To evaluate the MR appearance of noncalcified ductal carcinoma in situ (DCIS), with comparison to calcified DCIS. A retrospective, IRB-approved review of all DCIS diagnosed via MR biopsy between 2007 and 2011 was performed. DCIS was categorized as noncalcified based on the absence of calcifications on mammography and specimen radiography. MR morphology (focus, mass, nonmass enhancement [NME]) and enhancement kinetics (initial and delayed) for noncalcified DCIS were recorded and compared based on nuclear grade (1-3), size (<1.5 cm, 1.5-5 cm, >5 cm), and presence of necrosis. Imaging features of noncalcified and calcified DCIS were also compared. 115 cases of MR biopsy-proven DCIS were identified: 65 (56%) noncalcified and 50 (44%) calcified. For noncalcified DCIS, NME morphology was more common than mass or focus (60% vs 30.8% and 9.2%). There was a significant association between morphology and enhancement kinetics, with NME more likely demonstrating medium and persistent kinetics, and foci or masses demonstrating rapid and plateau or washout kinetics (P < .05). There was also a significant association between morphology and nuclear grade, with NME more likely seen with grade 3 DCIS (P = .024), and between size and initial enhancement, with lesions <1.5 cm more likely to have rapid initial enhancement (P = .0036). No significant difference was identified between calcified and noncalcified DCIS in terms of morphology, enhancement characteristics, nuclear grade, or presence of necrosis. The MR appearance of noncalcified DCIS closely mirrors that of calcified DCIS. Recognizing these imaging features may allow for improved identification of this MRI-detected abnormality, even in the absence of calcifications., (© 2017 Wiley Periodicals, Inc.)

Introduction: The purpose of this study was to evaluate whether diagnostic performance of breast magnetic resonance imaging (MRI) for detection of multifocality and multicentricity (MFMC) of breast cancer (BC) can be influenced by different histotypes or immunophenotypes in newly diagnosed patients with breast cancer., Materials and Methods: In this institutional review board-approved retrospective study, 289 patients who underwent both preoperative breast MRI and radical or modified mastectomy in our institution because of primary BCs were selected. Patients were stratified based on the pathologic report in 2 main histotypes and 5 immunophenotypes. By matching the radiologic report with the corresponding pathologic report for each patient, breast MRI performance for detection of MFMC were obtained in each histotype and immunophenotype and subsequently compared., Results: Overall breast MRI sensitivity for MFMC detection was 88.1%, specificity was 80.0%, positive predictive value 82.1%, negative predictive value 85.8%, diagnostic accuracy 83.7%, and area under the curve 0.835. Breast MRI sensitivity for MFMC detection in triple-negative BC was 84.6% (P = .88), specificity 70.8% (P = .63), positive predictive value 61.1% (P = .02), negative predictive value 89.5% (P = .20), diagnostic accuracy 75.7% (P = .65), and area under the curve 0.777 (P = .87)., Conclusion: Performance of breast MRI for the detection of MFMC are not influenced by the BC histotypes, in accordance with published literature. Conversely, the triple-negative immunophenotypes demonstrated lower performance, statistically significant only for positive predictive value (P = .02), for the detection of MFMC., (Copyright © 2017 Elsevier Inc. All rights reserved.)

The aim was to analyze morphologico-functional characteristics of ductal carcinoma in situ (DCIS) in breast MRI to assess signs correlating with the degree of nuclear atypia. From 636 malignant lesions, 114 were DCIS (17.92%): 44 cases of high-grade (38.60%), 37 intermediate (32.45%), 33 low-grade (28.95%). MRI characteristics - T2 signal intensity (SI), shape, margins, contrast enhancement, peripheral/ductal enhancement, kinetic curve, presence of restriction of diffusion were correlated with the nuclear grade of DCIS. Statistical analysis was performed, statistical significance and Odds ratio (OR) were calculated. Signs of high-grade lesions were low SI in T2w (p=0.042), nonhomogeneous contrast enhancement (p=0.012), wash-out phenomenon (p=0.04), high SI in diffusion weighted imaging (DWI) (p<0.0001), restriction of diffusion in apparent diffusion coefficient map (p<0.0001). DWI and wash-out phenomenon reached the highest OR (56.00, 9.76). Breast MRI using DWI and multiparametric analysis provides important information about the degree of nuclear atypia.

Purpose: The current standard of care for women diagnosed with early stage breast cancer is breast-conserving surgery (BCS) followed by external beam radiation therapy, commonly delivered over 3-6 weeks. As an alternative, select patients can undergo intra-operative radiation therapy (IORT) at the time of BCT. This technique delivers a single fraction of radiation at the time of surgery, enabling patients to undergo both surgery and radiation in a single session. Our current study analyzed the value of incorporating breast MRI into the routine work-up of patients deemed eligible for IORT, to quantify the impact on patient eligibility and requirement for additional work-up., Materials and Methods: We retrospectively identified patients treated by a single surgeon who were eligible for IORT based on institutional eligibility criteria which included: women age ≥55, grades 1-2, size <3 cm, estrogen receptor (ER) positive, Her-2 neu non-amplified and low/intermediate Ki-67, unifocal invasive ductal/mixed histology carcinomas. All patients must have undergone a physical exam and bilateral diagnostic mammography with ultrasound. From this population, we identified all patients who had undergone bilateral breast MRI as part of pre-operative evaluation., Results: A total of 215 women were identified who met all eligibility criteria. MRI detected additional abnormalities in the breast in 89 patients (41%). Sixty-eight women underwent additional biopsies, with a total of 117 separate lesions biopsied. Of these, pathology was benign in 61 (52.1%), atypical ductal hyperplasia (ADH) in 21 (18%), ductal carcinoma in-situ (DCIS) in 17 (14.5%) and invasive disease in 18 (15.4%). Six patients had MRI-detected abnormalities in the contralateral breast only, with biopsies identifying invasive disease (3), DCIS (1) and benign (2) findings. MRI showed abnormalities in both breasts in 6 patients and 18 additional lesions were biopsied which reveled invasive carcinoma (6), DCIS (7), ADH (3) and benign findings (2). Fifteen patients had either multifocal/multicentric disease or index lesion >3 cm on MRI and were deemed ineligible for IORT. Based on either MRI size or biopsy results, management was ultimately changed for 27 patients (12.5%). Extramammary findings were observed in 17 patients and 11 of these patients underwent further imaging studies all of which returned negative results., Conclusion: Preoperative bilateral breast MRI is a valuable tool in the proper selection of patients best suited for IORT. Even in highly selected, favorable risk patients, MRI detected additional lesions that changed surgical and radiation therapy recommendations in 12.5% of patients. However, the cost/benefit ratio needs to be taken into consideration given the high frequency of benign biopsies and additional radiological work-up., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Rationale and Objectives: We aimed to investigate the utility of problem-solving breast magnetic resonance imaging (MRI) for mammographic Breast Imaging Reporting and Data System (BI-RADS) categories 3 and 4 microcalcifications., Materials and Methods: Between January 1, 2010 and December 31, 2011, 138 women with 146 areas of categories 3 and 4 microcalcifications without sonographic correlates underwent breast MRI and had a stereotactic core biopsy using an 11-gauge needle or follow-up at least for 24 months. Positive predictive value (PPV), negative predictive value, sensitivity, and specificity were calculated on the basis of BI-RADS category, with categories 1-3 being considered benign and categories 4 and 5 being considered malignant., Results: Twenty-four cases (16.4%) were malignant (18 ductal carcinoma in situ, 6 invasive). MRI increased PPV and specificity from 43% to 68% and from 80% to 93% (P = .054 and .005) compared to mammography. Within 102 category 3 microcalcifications, 5 carcinomas were assessed correctly as category 4 by MRI. Within 44 category 4 microcalcifications, a correct diagnosis was made by MRI in 77% (34 of 44) as opposed to 43% (19 of 44) by mammography, and 80% (20 of 25) of unnecessary biopsies could have been avoided. Within the 24 carcinomas, 5 were negative at MRI. MRI-negative carcinomas have a significantly higher possibility of being low grade (ductal carcinoma in situ or invasive) (P = .0362)., Conclusions: Breast MRI has the potential to improve the diagnosis of category 3 or 4 microcalcifications and could alter indications for biopsy. Breast MRI could help predict the presence or absence of higher-grade carcinoma for category 3 or 4 microcalcifications., (Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)

Purpose: Higher background parenchymal enhancement (BPE) could be used for stratification of MRI screening programs since it might be related to a higher breast cancer risk. Therefore, the purpose of this study is to correlate BPE to patient and tumor characteristics in women with unilateral MRI-screen detected breast cancer who participated in an intermediate and high risk screening program. As BPE in the affected breast may be difficult to discern from enhancing cancer, we assumed that BPE in the contralateral breast is a representative measure for BPE in women with unilateral breast cancer., Materials and Methods: This retrospective study was approved by our local institutional board and a waiver for consent was granted. MR-examinations of women with unilateral breast cancers screen-detected on breast MRI were evaluated by two readers. BPE in the contralateral breast was rated according to BI-RADS. Univariate analyses were performed to study associations. Observer variability was computed., Results: Analysis included 77 breast cancers in 76 patients (age: 48±9.8 years), including 62 invasive and 15 pure ductal carcinoma in-situ cases. A negative association between BPE and tumor grade (p≤0.016) and a positive association with progesterone status (p≤0.021) was found. The correlation was stronger when only considering invasive disease. Inter-reader agreement was substantial., Conclusion: Lower BPE in the contralateral breast in women with unilateral breast cancer might be associated to higher tumor grade and progesterone receptor negativity. Great care should be taken using BPE for stratification of patients to tailored screening programs.

Purpose: To evaluate the diagnostic value of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for patients with atypical ductal hyperplasia (ADH) in predicting malignant upgrade., Materials and Methods: 3T DCE-MRI was performed for 17 patients with ADH (median age 52, range 42-76) proven by stereotactic biopsy (n = 15), and ultrasound-guided biopsy (n = 2) from January 2011 to April 2015. All patients underwent surgical excision after the MRI. Two radiologists prospectively reviewed the MRI to determine the presence or absence of suspicious findings at the site of biopsy, and evaluated the MR features of any lesion present according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon. MRI findings and clinical information were correlated with the final surgical pathology by multivariate analysis., Results: Nine of 17 lesions were upgraded to malignancy. MRI demonstrated suspicious nonmass enhancement (NME) at the site of biopsy in all upgraded patients. The median size was 19.5 mm (range, 9-44 mm). In the eight patients without upgrade, no enhancement (n = 2), linear enhancement along the biopsy track (n = 4), thin rim enhancement around hematoma (n = 1), and a focal NME (n = 1) were seen. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MRI findings were 100, 87.5, 90, and 100%, respectively. Multivariate analysis revealed that the presence of suspicious enhancement on MRI was the most significant predictor of upgrade to malignancy (P = 0.0006) CONCLUSION: Our study revealed a high NPV of DCE-MRI for patients with ADH in terms of malignant upgrade at subsequent surgery. This suggests that patients with ADH without suspicious enhancement on DCE-MRI might be followed with DCE-MRI rather than undergoing surgical excision., Level of Evidence: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1738-1747., (© 2017 International Society for Magnetic Resonance in Medicine.)

Background The ability to accurately assess tumor size in ductal carcinoma in situ (DCIS) is an important clinical issue when selecting the appropriate treatment plan. Purpose To compare the accuracy of using mammography, ultrasound (US), and magnetic resonance imaging (MRI) to assess DCIS tumor size based on imaging and histopathological findings. Material and Methods Fifty-six patients with DCIS were included. Mammography, US, and MRI were reviewed, and the accuracy of the measured tumor sizes were compared with the imaging and histopathological parameters. Results If visible, tumor measurements demonstrated high reliability with the pathologically determined size, with the best results obtained using US ( k = 0.851) followed by mammography ( k = 0.815) and MRI ( k = 0.738). Tumor size assessment was significantly more accurate when the lesion was shown as a mass on US ( P = 0.003) or MRI ( P < 0.001) with minimal and mild background parenchymal enhancement ( P = 0.016) on MRI. When mammography was used to assess tumor size, the tumors with positive estrogen receptor status and luminal A subtype demonstrated a significantly more accurate tumor size. Conclusion The combination of US and MRI, in addition to mammography, has an important role in assessing the exact tumor extent of DCIS.

Purpose To investigate whether specific imaging features on breast magnetic resonance (MR) images are associated with ductal carcinoma in situ (DCIS) recurrence risk after definitive treatment. Materials and Methods Patients with DCIS who underwent preoperative dynamic contrast material-enhanced (DCE) MR imaging between 2004 and 2014 with ipsilateral recurrence more than 6 months after definitive surgical treatment were retrospectively identified. For each patient, a control subject with DCIS that did not recur was identified and matched on the basis of clinical, histopathologic, and treatment features known to affect recurrence risk. On DCE MR images, lesion characteristics (longest diameter, functional tumor volume [FTV], peak percentage enhancement [PE], peak signal enhancement ratio [SER], and washout fraction) and normal tissue features (background parenchymal enhancement [BPE] volume, mean BPE) were quantitatively measured. MR imaging features were compared between patients and control subjects by using the Wilcoxon signed-rank test, with adjustment for multiple comparisons. Results Of 415 subjects with DCIS who underwent preoperative MR imaging, 14 experienced recurrence and 11 had an identifiable matching control subject (final cohort, 11 patients and 11 control subjects). Median time to recurrence was 14 months, and median follow-up for control subjects was 102 months. When compared with matched control subjects, patients with DCIS recurrence exhibited significantly greater FTV (median, 9.3 cm 3 vs 1.3 cm 3 , P = .01), lesion peak SER (median, 1.7 vs 1.2; P = .03), and mean BPE (median, 58.3% vs 41.1%; P = .02). Conclusion Quantitative lesion and normal breast tissue characteristics at preoperative MR imaging in women with newly diagnosed DCIS show promise for association with breast cancer recurrence after treatment. © RSNA, 2017.

Purpose: To identify breast MR imaging biomarkers to predict histologic grade and receptor status of ductal carcinoma in situ (DCIS)., Materials and Methods: Informed consent was waived in this Health Insurance Portability and Accountability Act-compliant Institutional Review Board-approved study. Case inclusion was conducted from 7332 consecutive breast MR studies from January 1, 2009, to December 31, 2012. Excluding studies with benign diagnoses, studies without visible abnormal enhancement, and pathology containing invasive disease yielded 55 MR-imaged pathology-proven DCIS seen on 54 studies. Twenty-eight studies (52%) were performed at 1.5 Tesla (T); 26 (48%) at 3T. Regions-of-interest representing DCIS were segmented for precontrast, first and fourth postcontrast, and subtracted first and fourth postcontrast images on the open-source three-dimensional (3D) Slicer software. Fifty-seven metrics of each DCIS were obtained, including distribution statistics, shape, morphology, Renyi dimensions, geometrical measure, and texture, using the 3D Slicer HeterogeneityCAD module. Statistical correlation of heterogeneity metrics with DCIS grade and receptor status was performed using univariate Mann-Whitney test., Results: Twenty-four of the 55 DCIS (44%) were high nuclear grade (HNG); 44 (80%) were estrogen receptor (ER) positive. Human epidermal growth factor receptor-2 (HER2) was amplified in 10/55 (18%), nonamplified in 34/55 (62%), unknown/equivocal in 8/55 (15%). Surface area-to-volume ratio showed significant difference (P < 0.05) between HNG and non-HNG DCIS. No metric differentiated ER status (0.113 < p ≤ 1.000). Seventeen metrics showed significant differences between HER2-positive and HER2-negative DCIS (0.016 < P < 0.050)., Conclusion: Quantitative heterogeneity analysis of DCIS suggests the presence of MR imaging biomarkers in classifying DCIS grade and HER2 status. Validation with larger samples and prospective studies is needed to translate these results into clinical applications., Level of Evidence: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1748-1759., (© 2017 International Society for Magnetic Resonance in Medicine.)

Rationale and Objectives: This study aimed to investigate whether a simplified breast magnetic resonance imaging (MRI) protocol consisting of a localizer, one precontrast sequence, and three time-point postcontrast sequences (at 28 seconds, 84 seconds and 252 seconds after the contrast agent administration) is suitable for the characterization of breast lesions as compared to a full diagnostic protocol (FDP). This study also aimed to review the current literature concerning abbreviated breast MRI protocols and offer an alternative protocol., Materials and Methods: Breast magnetic resonance (MR) examinations with detected breast lesions of 98 patients were retrospectively evaluated. Two expert radiologists in consensus reviewed the simplified breast protocol (SBP) first and only thereafter the regular FDP, recording a diagnosis for each detected lesion for both protocols. Receiver operating characteristic curve analysis was performed to determine the diagnostic performance of the SBP compared to the standard FDP. A revision of the previously reported abbreviated breast magnetic resonance protocols was also carried out., Results: A total of 180 lesions were identified; of these, 110 (61%) were malignant and 70 (39%) were benign. Of the 110 malignant lesions, 86 (78%) were invasive ductal carcinoma, 18 (16%) were invasive lobular carcinoma, and 6 (6%) were ductal carcinoma in situ. Areas under the curve for the receiver operating characteristic curves for the SBP vs the FDP were equivalent (0.98 vs 0.99, respectively; P = 0.76). The SBP could be performed in approximately 6 minutes and 58 seconds, compared to 14 minutes and 48 seconds for the FDP., Conclusions: An SBP protocol including a late postcontrast time point is accurate for the characterization of breast lesions and was comparable to the standard FDP protocol, allowing a potential reduction of the total acquisition and interpretation times., (Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)

Purpose: To determine if breast MRI is useful for detecting additional or invasive sites of disease in patients initially diagnosed with pure DCIS., Materials and Methods: A retrospective review of women diagnosed with pure DCIS who underwent a breast MRI for evaluation of extent of disease was performed at a single institution from January 2013 to April 2015. Data analysis included imaging (mammography, ultrasound and MRI) and pathology characteristics (histology and biomarker status) of the primary DCIS as well as descriptors for the additional sites of disease incidentally found by breast MRI., Results: A total of 108 patients were diagnosed with pure DCIS during this time period. A breast MRI for staging was recommended for all patients. 76 patients had an MRI performed, ages ranging from 38 to 79 years old (median, 53 years); sizes ranging from 0.3 to 10cm (mean, 2.2cm). A total of 52 patients (68%) either had suspicious new finding(s) (n=27, 36%) or bigger tumor size than originally visualized on mammography (n=43, 57%). A total of twenty-seven patients (36%) had other MRI findings suspicious for additional sites of disease in either breast (four in the ipsilateral breast and twenty-three in the contralateral breast). From this group of patients, twenty-three (85%) patients underwent MRI-guided biopsy as recommended. The four patients who did not have the recommended MRI guided-biopsy either underwent total mastectomies or refused the biopsy. Six out of the twenty-three patients (26%) were diagnosed with an additional site of cancer (5 DCIS and 1 IDC) (7.9%, CI=3.7%, 16.2%). All of the six patients had contralateral disease (100%) and none had a second site of disease in the ipsilateral breast. The size of the additional sites of disease ranged from 0.4 to 8cm (mean, 3.1cm) and the size of the primary lesion in this selected group ranged from 0.1 to 10.9cm (mean, 5.6cm). Ages ranged from 44 to 63 years old (median, 52.5 years). Five out 6 patients (83%) presented with the first site of disease as pure DCIS with estrogen (ER) and progesterone (PR) receptors positive and one case (17%) was pure DCIS ER/PR- negative. The second incidental lesion found on MRI demonstrated 5 cases of contralateral pure DCIS and 1 case of contralateral invasive disease. From this group, we did not have the data for biomarker analysis for the second site of disease in 2 cases and 3 cases showed concordant biomarker status between the first and second sites of disease. The 1 case that presented with an invasive component in the contralateral side of the initially biopsy-proven pure DCIS had discordant biomarkers compared to the first site of disease: the first site of pure DCIS was ER/PR-negative and the second site of invasive ductal carcinoma (IDC) presented with ER/PR-positive status., Conclusion: From a total of 76 patients with recent diagnosis of pure DCIS who underwent staging breast MRI examination for diagnosis of additional sites of disease, approximately 8% (95% confidence interval=3.7%, 16.2%) was diagnosed with an additional site of cancer and 1.3% (95% confidence interval=0.2%, 7%) of the total cases had invasive disease in the additional sites with different biomarker status; changing their management and prognosis., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Purpose: To assess the ability of algorithmically assessed magnetic resonance imaging (MRI) features to predict the likelihood of upstaging to invasive cancer in newly diagnosed ductal carcinoma in situ (DCIS)., Materials and Methods: We identified 131 patients at our institution from 2000-2014 with a core needle biopsy-confirmed diagnosis of pure DCIS, a 1.5 or 3T preoperative bilateral breast MRI with nonfat-saturated T 1 -weighted MRI sequences, no preoperative therapy before breast MRI, and no prior history of breast cancer. A fellowship-trained radiologist identified the lesion on each breast MRI using a bounding box. Twenty-nine imaging features were then computed automatically using computer algorithms based on the radiologist's annotation., Results: The rate of upstaging of DCIS to invasive cancer in our study was 26.7% (35/131). Out of all imaging variables tested, the information measure of correlation 1, which quantifies spatial dependency in neighboring voxels of the tumor, showed the highest predictive value of upstaging with an area under the curve (AUC) = 0.719 (95% confidence interval [CI]: 0.609-0.829). This feature was statistically significant after adjusting for tumor size (P < 0.001)., Conclusion: Automatically assessed MRI features may have a role in triaging which patients with a preoperative diagnosis of DCIS are at highest risk for occult invasive disease., Level of Evidence: 4 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1332-1340., (© 2017 International Society for Magnetic Resonance in Medicine.)

Importance: Younger women (aged ≤50 years) who underwent breast conservation therapy may benefit from breast magnetic resonance imaging (MRI) screening as an adjunct to mammography., Objective: To prospectively determine the cancer yield and tumor characteristics of combined mammography with MRI or ultrasonography screening in women who underwent breast conservation therapy for breast cancers and who were 50 years or younger at initial diagnosis., Design, Setting, and Participants: This multicenter, prospective, nonrandomized study was conducted from December 1, 2010, to January 31, 2016, at 6 academic institutions. Seven hundred fifty-four women who were 50 years or younger at initial diagnosis and who had undergone breast conservation therapy for breast cancer were recruited to participate in the study. Reference standard was defined as a combination of pathology and 12-month follow-up., Interventions: Participants underwent 3 annual MRI screenings of the conserved and contralateral breasts in addition to mammography and ultrasonography, with independent readings., Main Outcomes and Measures: Cancer detection rate, sensitivity, specificity, interval cancer rate, and characteristics of detected cancers., Results: A total of 754 women underwent 2065 mammograms, ultrasonography, and MRI screenings. Seventeen cancers were diagnosed, and most of the detected cancers (13 of 17 [76%]) were stage 0 or stage 1. Overall cancer detection rate (8.2 vs 4.4 per 1000; P = .003) or sensitivity (100% vs 53%; P = .01) of mammography with MRI was higher than that of mammography alone. After the addition of ultrasonography, the cancer detection rate was higher than that by mammography alone (6.8 vs 4.4 per 1000; P = .03). The specificity of mammography with MRI or ultrasonography was lower than that by mammography alone (87% or 88% vs 96%; P < .001). No interval cancer was found., Conclusions and Relevance: After breast conservation therapy in women 50 years or younger, the addition of MRI to annual mammography screening improves detection of early-stage but biologically aggressive breast cancers at acceptable specificity. Results from this study can inform patient decision making on screening methods after breast conservation therapy.

Objectives: To determine the accuracy of post-operative MR in predicting residual disease in women with positive margins, emphasizing the size thresholds at which residual disease can be confidently identified., Methods: This IRB-approved HIPAA-compliant retrospective study included 175 patients with MR after positive margins following initial surgery for breast cancer. Two expert readers independently re-evaluated MR images for evidence of residual disease at the surgical cavity and multifocal/multicentric disease. All patients underwent definitive surgery and MR findings were correlated to histopathology., Results: 139/175 (79.4%) patients had residual disease at surgery. Average overall sensitivity, specificity, PPV and NPV for residual disease at the surgical cavity were 73%, 72%, 91% and 45%, respectively. The readers identified 42/45 (93%, reader 1) and 43/45 (95%, reader 2) patients with residual invasive disease at the cavity of ≥5 mm and 22/22 (100%, both readers) patients with disease ≥10 mm. Average sensitivity, specificity, PPV and NPV for unknown multifocal/multicentric disease were 90%, 96%, 93% and 86%, respectively., Conclusions: Post-operative breast MR can accurately depict ≥5-mm residual disease at the surgical cavity and unsuspected multifocal/multicentric disease. These findings have the potential to lead to more appropriate selection of second surgical procedures in women with positive margins., Key Points: • Post-operative breast MRI accurately defines residual disease of ≥5 mm. • Surgical cavity sensitivities were high for both invasive carcinoma and DCIS. • Post-surgical changes and very small residual disease (<5 mm) may overlap. • Post-operative breast MRI may help planning an accurate re-resection.

Objective: To investigate the value of preoperative dynamic contrast-enhanced MRI in reducing the rate of tumor-positive resection margins after breast conserving surgery in patients with early non-mass breast carcinoma. Methods: Seventy-two patients with early non-mass breast carcinoma received ultrasonographic and mammographic examination and subsequently underwent dynamic contrast-enhanced MRI examination before breast conserving surgery. The control group consisted of 74 patients who had early non-mass breast carcinoma. They only received ultrasonographic and mammographic examination and didn't undergo contrast-enhanced MRI examination. The comparison of the rate of tumor-positive resection margins between two groups was performed. The MRI findings that had the significant influence on the rate of tumor-positive resection margins were analyzed using Logistic regression model. Results: In 28 patients (28/72, 38.9%), dynamic contrast-enhanced MRI could correct or supplement the ultrasonographic and mammographic findings and resulted in the reasonable change of surgical program. The preoperative MRI examination group ( n =30) had lower rate of tumor-positive resection margins than control group for invasive ductal carcinoma (23.3% vs 40.0%, P =0.02), but there was no significant difference (21.4% vs 26.9%, P =0.10) between two groups for ductal carcinoma in situ ( n =28). The preoperative MRI examination group ( n =14) had lower rate of tumor-positive resection margins than control group for the other pathologic types of breast carcinoma (14.3% vs 38.9%, P =0.02). The statistical analysis on the basis of Logistic regression model showed that some main MRI findings, including change surrounding the tumor, distance between tumor and nipple and tumor size, had the significant influence on the rate of tumor-positive resection margins. Conclusion: Preoperative dynamic contrast-enhanced MRI significantly increased the accuracy of resection margins evaluation, and greatly reduced the rate of tumor-positive resection margins after breast conserving surgery in patients with early non-mass breast carcinoma.

Introduction: Preoperative assessment of pure Ductal Carcinoma Insitu (DCIS) is essential in the surgical planning. The role of Magnetic resonance imaging (MRI) has long been debated. The impact of MRI on the management of High Grade (HG) DCIS was assessed, whether it accurately captures the true size of this entity in comparison to conventional imaging, and, if MRI use would reduce the number of re-excision surgery., Method: Ninety-one consecutive patients with HG DCIS, who were identified from a prospectively collected data at Kettering General Hospital between April 2011 and December 2015. All patients had preoperative MRI scan in addition to the standard breast imaging. This was compared to a control group of consecutive patients (n=52) which was obtained from a period just before 2011. Impact on surgical planning and number of surgeries for each patient was compared. The size of HG DCIS estimated by MRI was compared to the final histological size. Secondary outcomes included change of initial surgical plan and detection of occult contralateral breast cancer., Results: MRI group had 91 patients with median age of 63. Seventy percent of which presented through the screening program. The overall sensitivity of MRI to detect HG DCIS was 77% (70/91) with a false negative rate FNR of 23% (21/91). Therefore, 70 patients only were included in the data analysis. The control group included 52 screening patients with comparable baseline characteristics. Re-excision (or completion mastectomy) rates were higher in the control group 26% compared to 8% in the MRI group (P-value 0.012). MRI use correctly converted the initial plan of breast conservation to mastectomy in 9 patients (13%). Five patients had additional ipsilateral malignant features (7%).Occult contra lateral disease, was diagnosed in 2 patients (3%)., Conclusion: This study suggests that MRI could be an important tool in reducing the re-excision rates in the surgical management of HG DCIS. Although still controversial, selective MRI imaging can be useful in the preoperative diagnosis and evaluation of HG DCIS. Case by case discussion at MDT is crucial. Wider adaptation of MRI when indicated in the assessment of breast lesions with proper correlation to histology postoperatively is a key in improving our MRI interpretation skills, helping us to exploit the full scope of this useful tool., (Copyright © 2017 Elsevier B.V. All rights reserved.)