High-risk benign breast lesions: current strategies in management

Transgender Mastectomy: Incidence of High-Risk Pathologic Findings and the Need for Postoperative Cancer Surveillance

BACKGROUND

Chest masculinization surgeries are one of the most common gender-affirming procedures performed. There is a need for better understanding of the risk of breast cancer and postsurgical screening in female to male (FtM) individuals. This study aimed to evaluate the incidence of high-risk pathologic findings in FtM transgender patients undergoing gender-affirming chest reconstructive surgery.

METHODS

Medical records were reviewed from all FtM patients undergoing gender-affirming chest reconstructive surgery from January 2010 to February 2021 by 3 plastic surgeons at the University of Pittsburgh Medical Center. Relative risk of malignant progression was used to stratify pathologic data. Subsequent management of atypical, in situ, and invasive pathology were recorded.

RESULTS

A total of 318 patients were included in this study; the average age at surgery was 24.6 ± 8.1 years. Eighty-six patients (27%) had a family history of breast and/or ovarian cancer. Overall, 21 patients (6.6%) had some increased risk of breast cancer: 17 (5.3%) had proliferative lesions, mean age 38.2 ± 12.4 years; 2 had atypical ductal hyperplasia, ages 33.4 and 38.3 years; and 2 had invasive ductal carcinoma, ages 35.4 and 40.6 years.

CONCLUSIONS

In this study, we found that 6.6% of FtM transgender patients undergoing top surgery had an elevated risk of breast cancer, with 1.2% of patients having a greater than 2 times risk of breast cancer. These results highlight the importance of appropriate preoperative screening as well as pathological analysis of surgical specimens to help guide clinical care. The authors advocate for a thorough breast cancer risk assessment before surgery for all patients, as well as using pathologic findings to guide postoperative cancer screening and follow-up.

Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade

Purpose

To investigate whether radiomics features extracted from magnetic resonance imaging (MRI) of patients with biopsy-proven atypical ductal hyperplasia (ADH) coupled with machine learning can differentiate high-risk lesions that will upgrade to malignancy at surgery from those that will not, and to determine if qualitatively and semi-quantitatively assessed imaging features, clinical factors, and image-guided biopsy technical factors are associated with upgrade rate.

Methods

This retrospective study included 127 patients with 139 breast lesions yielding ADH at biopsy who were assessed with multiparametric MRI prior to biopsy. Two radiologists assessed all lesions independently and with a third reader in consensus according to the BI-RADS lexicon. Univariate analysis and multivariate modeling were performed to identify significant radiomic features to be included in a machine learning model to discriminate between lesions that upgraded to malignancy on surgery from those that did not.

Results

Of 139 lesions, 28 were upgraded to malignancy at surgery, while 111 were not upgraded. Diagnostic accuracy was 53.6%, specificity 79.2%, and sensitivity 15.3% for the model developed from pre-contrast features, and 60.7%, 86%, and 22.8% for the model developed from delta radiomics datasets. No significant associations were found between any radiologist-assessed lesion parameters and upgrade status. There was a significant correlation between the number of specimens sampled during biopsy and upgrade status (p = 0.003).

Conclusion

Radiomics analysis coupled with machine learning did not predict upgrade status of ADH. The only significant result from this analysis is between the number of specimens sampled during biopsy procedure and upgrade status at surgery.

A Risk-Stratified Comparison of High-Risk Findings in Reduction Mammoplasty

BACKGROUND

Reduction mammoplasty is indicated for symptomatic macromastia or breast asymmetry after contralateral cancer surgery. Previous studies compared the incidence of high-risk lesions in resection specimens between these 2 groups. However, no studies have compared incidental findings in breast reduction specimens based on relative risk of cancer. Our study stratifies lesions by relative risk of malignant progression and compares the frequency of these findings in bilateral versus unilateral reduction mammoplasties.

METHODS

Charts were reviewed from 422 patients undergoing breast reductions by a single surgeon over a 10-year period. Age, procedure, specimen weight, and histologic findings were recorded. Pathologic data were stratified by relative risk of malignant progression and compared between patients with and without cancer histories.

RESULTS

Three hundred five patients underwent bilateral reduction mammoplasty and 117 patients underwent unilateral reduction mammoplasty over the 10-year period. Bilateral patients had a higher incidence of benign lesions (P = 0.02). Both groups had similar incidences of proliferative lesions (P = 0.48). Unilateral patients had a higher incidence of atypia (P = 0.05) and carcinoma in situ (P < 0.01). One unilateral patient had an incidentally found invasive carcinoma.

CONCLUSIONS

Patients undergoing unilateral reduction after oncologic resection have a higher incidence of high-risk lesions compared with those undergoing bilateral reductions for macromastia. Although others have compared incidental findings between these cohorts, no group has compared these incidental findings stratified by risk. Our data underscore the importance of pathologic analysis of reduction specimens for early detection of high-risk lesions and will prove valuable for preoperative counseling before reduction mammoplasty for either of these indications.

Diagnostic Value of Contrast-Enhanced Digital Mammography versus Contrast-Enhanced Magnetic Resonance Imaging for the Preoperative Evaluation of Breast Cancer

Purpose

This study aimed to compare the diagnostic performance of contrast-enhanced digital mammography (CEDM) and contrast-enhanced magnetic resonance imaging (CEMRI) in preoperative evaluations, and to evaluate the effect of each modality on the surgical management of women with breast cancer.

Methods

This single-center, prospective study was approved by the Institutional Review Board, and informed consent was obtained from all patients. From November 2016 to October 2017, 84 patients who were diagnosed with invasive carcinoma (69/84) and ductal carcinoma in situ (15/84), and underwent both CEDM and CEMRI, were enrolled. Imaging findings and surgical management were correlated with pathological results and compared. The diagnostic performance of both modalities in the detection of index and secondary cancers (multifocality and multicentricity), and occult cancer in the contralateral breast, was compared. The authors also evaluated whether CEDM or CEMRI resulted in changes in the surgical management of the affected breast due to imaging-detected findings.

Results

Eighty-four women were included in the analysis. Compared with CEMRI, CEDM demonstrated a similar sensitivity (92.9% [78/84] vs. 95.2% [80/84]) in detecting index cancer (p=0.563). For the detection of secondary cancers in the ipsilateral breast and occult cancer in the contralateral breast, no significant differences were found between CEDM and CEMRI (p=0.999 and p=0.999, respectively). Regarding changes in surgical management, CEDM resulted in similar changes compared with CEMRI (30.9% [26/84] vs. 29.7% [25/84], p=0.610). Regarding changes in surgical management due to false-positive findings, no significant differences were found between CEDM and CEMRI (34.6% [9/26] vs. 44.0% [11/25], p=0.782).

Conclusion

CEDM demonstrated a diagnostic performance comparable with CEMRI in depicting index cancers, secondary cancers, and occult cancer in the contralateral breast. CEDM demonstrated similar changes in surgical management compared with CEMRI.

Excision or Observation: The Dilemma of Managing High-Risk Breast Lesions

There is an enduring dilemma on the appropriate management of high-risk breast lesions; is surgical excision always warranted or can conservative management be utilized? We present cases of high-risk breast lesions diagnosed at core needle biopsy at our institution along with relevant factors to consider for appropriate management. We conclude that a nuanced approach is warranted over the broad stroke approach of surgical excision of all high-risk breast lesions.

Breast Biopsy Intensity and Findings Following Breast Cancer Screening in Women With and Without a Personal History of Breast Cancer

IMPORTANCE

There is little evidence on population-based harms and benefits of screening breast magnetic resonance imaging (MRI) in women with and without a personal history of breast cancer (PHBC).

OBJECTIVE

To evaluate biopsy rates and yield in the 90 days following screening (mammography vs magnetic resonance imaging with or without mammography) among women with and without a PHBC.

DESIGN, SETTING, AND PARTICIPANTS

Observational cohort study of 6 Breast Cancer Surveillance Consortium (BCSC) registries. Population-based sample of 812 164 women undergoing screening, 2003 through 2013.

EXPOSURES

A total of 2 048 994 digital mammography and/or breast MRI screening episodes (mammogram alone vs MRI with or without screening mammogram within 30 days).

MAIN OUTCOMES AND MEASURES

Biopsy intensity (surgical greater than core greater than fine-needle aspiration) and yield (invasive cancer greater than ductal carcinoma in situ greater than high-risk benign greater than benign) within 90 days of a screening episode. We computed age-adjusted rates of biopsy intensity (per 1000 screening episodes) and biopsy yield (per 1000 screening episodes with biopsies). Outcomes were stratified by PHBC and by BCSC 5-year breast cancer risk among women without PHBC.

RESULTS

We included 101 103 and 1 939 455 mammogram screening episodes in women with and without PHBC, respectively; MRI screening episodes included 3763 with PHBC and 4673 without PHBC. Age-adjusted core and surgical biopsy rates (per 1000 episodes) doubled (57.1; 95% CI, 50.3-65.1) following MRI compared with mammography (23.6; 95% CI, 22.4-24.8) in women with PHBC. Differences (per 1000 episodes) were even larger in women without PHBC: 84.7 (95% CI, 75.9-94.9) following MRI and 14.9 (95% CI, 14.7-15.0) following mammography episodes. Ductal carcinoma in situ and invasive biopsy yield (per 1000 episodes) was significantly higher following mammography compared with MRI episodes in women with PHBC (mammography, 404.6; 95% CI, 381.2-428.8; MRI, 267.6; 95% CI, 208.0-337.8) and nonsignificantly higher, but in the same direction, in women without PHBC (mammography, 279.3; 95% CI, 274.2-284.4; MRI, 214.6; 95% CI, 158.7-280.8). High-risk benign lesions were more commonly identified following MRI regardless of PHBC. Higher biopsy rates and lower cancer yield following MRI were not explained by increasing age or higher 5-year breast cancer risk.

CONCLUSIONS AND RELEVANCE

Women with and without PHBC who undergo screening MRI experience higher biopsy rates coupled with significantly lower cancer yield findings following biopsy compared with screening mammography alone. Further work is needed to identify women who will benefit from screening MRI to ensure an acceptable benefit-to-harm ratio.

Not all false positive diagnoses are equal: On the prognostic implications of false-positive diagnoses made in breast MRI versus in mammography / digital tomosynthesis screening

Background

Breast magnetic resonance imaging (MRI) has been reported to frequently result in false-positive diagnoses, limiting its positive predictive value (PPV). However, for PPV calculation, all nonmalignant tissue changes are equally considered false-positive, although the respective prognostic importance, and thus patient management implications, of different pathologies may well differ. We investigated the pathology of false-positive diagnoses made by MRI compared with radiographic (digital mammography/tomosynthesis [DM/DBT]) screening.

Methods

We conducted an institutional review board-approved prospective analysis of 710 consecutive asymptomatic women at average risk for breast cancer who underwent vacuum biopsy with or without surgical biopsy for screen-detected DM/DBT (n = 344) or MRI (n = 366) findings. We compared the frequency of false-positive biopsies (given by PPV3), as well as the types of nonmalignant tissue changes that caused the respective false-positive biopsies. In an order of increasing relative risk of subsequent breast cancer, pathologies of false-positive biopsies were categorized as nonproliferative, simple proliferative, complex proliferative, or atypical proliferative (including lobular carcinoma in situ/lobular intraepithelial neoplasia). The Mann-Whitney U test was used to compare distributions.

Results

Histology yielded nonmalignant tissue in 202 of 366 biopsies done for positive MRI studies and 195 of 344 biopsies for positive DM/DBT studies, respectively, yielding a similar PPV3 percentages of 44.8% (164 of 202) and 43.3% (149 of 202) for both methods. However, the distribution of tissue types that caused false-positive diagnoses differed significantly (p < 0.0001). On the basis of MRI, high-risk atypical proliferative changes (40.1%; 81 of 202) were most common, followed by complex proliferative changes (23.8%; 48 of 202). In DM/DBT, low-risk, nonproliferative changes were the dominant reason for false-positive diagnoses (49.7%; 97 of 195), followed by simple proliferative changes (25.2%; 51 of 195). Low-risk nonproliferative changes resulted in false-positive diagnoses based on MRI as infrequently as did high-risk atypical proliferative changes based on DM/DBT (18.8% [38 of 202] vs. 18.0% [35 of 195]). The likelihood of a false-positive diagnosis including atypias was twice as high in women undergoing biopsy for MRI findings (81 of 202; 40%) as for those with DM/DBT findings (35 of 195; 18%).

Conclusions

The prognostic importance, and thus the clinical implications, of false-positive diagnoses made on the basis of breast MRI vs. radiographic screening differed significantly, with a reversed prevalence of high- and low-risk lesions. This should be taken into account when discussing the rate of false-positive diagnoses (i.e., PPV levels of MRI vs. radiographic screening). Current benchmarks that rate the utility of breast cancer screening programs (i.e., cancer detection rates and PPVs) do not reflect these substantial biological differences and the different prognostic implications.

Apparent diffusion coefficient values may help predict which MRI-detected high-risk breast lesions will upgrade at surgical excision

PURPOSE

To investigate whether diffusion-weighted imaging (DWI) features could assist in determining which high-risk lesions identified on dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and diagnosed on core needle biopsy (CNB) will upgrade to malignancy on surgical excision.

MATERIALS AND METHODS

This Institutional Review Board (IRB)-approved prospective study included participants with MRI-detected Breast Imaging Reporting and Data System (BI-RADS) 4 or 5 lesions with high-risk pathology on CNB who underwent surgical excision. Twenty-three high-risk lesions detected on 3T breast MRI in 20 women (average age = 54 ± 9 years) were evaluated, of which six lesions (26%) upgraded to malignancy at surgery. DCE, DWI characteristics, and clinical factors were compared between high-risk lesions that upgraded to malignancy on surgical excision and those that did not. Logistic regression modeling was performed to identify features that optimally predicted upgrade to malignancy, with performance described using area under the receiver operating characteristic curve (AUC).

RESULTS

High-risk lesions that upgraded on excision demonstrated lower apparent diffusion coefficient (ADC) than those that did not (median, 1.08 × 10^-3 mm² /s vs.1.39 × 10^-3 mm² /s, P = 0.046), and a trend of greater maximum lesion size (median, 24 mm vs. 8 mm, P = 0.053). There were no significant differences in lesion type (mass vs. nonmass enhancement, P = 1.0) or kinetic features (P = 0.78 for peak initial enhancement; P = 1.0 for worst curve type) among the high-risk cohorts. A model incorporating maximum lesion size and ADC provided optimal performance to predict upgrade to malignancy (AUC = 0.89).

CONCLUSION

ADC and maximum lesion size on MRI show promise for predicting which MRI-detected high-risk lesions will upgrade to malignancy at surgical excision.

LEVEL OF EVIDENCE

2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1028-1036.

The Connecticut Experiment; The Third Installment: 4 Years of Screening Women with Dense Breasts with Bilateral Ultrasound

To determine if the addition of breast ultrasound in women with dense breasts finds cancers that otherwise would have been obscured. Retrospective chart review from five sites from October 2009 through December 2013. Data included: number of screening mammograms; number of screening ultrasounds; Breast Imaging Reporting Data System code results; biopsy results including type of lesion, size, nuclear grade, receptor and node status, and patient demographic data. Year 1, 2,706 ultrasound with 151 biopsies yielded 11 cancers, positive predictive value (PPV) 7.3%. Detection rate of 4.0/1,000. Year 2, 3,351 ultrasounds with 180 biopsies yielded 11 cancers and high risk lesions (HRL), PPV 6.1%. Detection rate 3.3/1,000. Year 3, 4,128 ultrasounds with 148 biopsies yielded 13 cancers and HRL, PPV 8.8%. Detection rate 3.1/1,000. Year 4, 3,331 ultrasounds with 53 biopsies yielded 11 cancers and HRL, PPV of 20.1%. Detection rate of 3.3/1,000. Lesion size ranged 0.3-8.0 cm. Patient age 45-77 years. Three tumors nuclear grade 3 and 1 nuclear grade 2 had positive sentinel nodes. 8 patents had risk factors other than dense breasts. Cancers in patients with prior negative screening ultrasound measured 0.4-1.2 cm and were node negative. Breast ultrasound in women with dense breasts detects mammographically occult malignancy. Over 4 years, the PPV doubled indicating increased accuracy of lesions biopsied while rate of detection remained stable. Lesions were of all cancer types, grade and hormonal status. Only high grade cancers were sentinel node positive and women returning for yearly ultrasound had small lesions with no positive sentinel nodes.

The connecticut experiments second year: ultrasound in the screening of women with dense breasts

To determine if the addition of screening breast ultrasound in women with mammographically normal but dense breasts improves breast cancer detection. The study utilized a retrospective chart review. Data collected included: (a) total number of screening mammograms; (b) total number of dense breast screening ultrasounds; (c) screening ultrasound Breast Imaging Reporting Data System (BI-RADS) code results; (d) biopsy results; and (e) demographic data on women with malignant biopsies. Data were obtained from sites throughout Connecticut from November 1, 2010 to October 31, 2011. Data from 5 Connecticut radiology practices covering 10 sites were collected. Sites conducted a total of 57,417 screening mammograms and 10,282 dense breast screening ultrasounds. Of the screening ultrasounds, 87% (8,972/10,282) were BI-RADS 1 or 2, 9% (875/10,282) were BI-RADS 3, 4% (435/10,282) were BI-RADS 4 or 5, and 39 were found to have a cancer or high-risk lesion on biopsy. This correlates to 3.8 cancers or high-risk lesions per 1,000 women screened. If high-risk lesions are excluded, there are 24 cases of biopsy proven malignancy corresponding to 2.3 cancers per 1,000 women screened. In this study, screening breast ultrasound in women with mammographically normal but dense breasts demonstrated a positive predictive value of 9% (39/435) and specificity of 96% (8,972/9,368). Based on the data collected from sites throughout Connecticut, screening breast ultrasound in women with dense breast parenchyma detects mammographically occult malignancy and high-risk lesions. The results are especially significant given recent studies suggesting that breast density is an independent risk factor for breast cancer and that mammography is less effective in detecting cancer in dense breasts. The improved specificity and sensitivity between the 1st and 2nd years' suggests there is a learning curve that may continue to improve the results.

What information do public organizations provide to Belgian women on primary prevention of breast cancer?

Women need to be adequately informed about risk factors and risk reduction strategies for breast cancer to seek optimal primary prevention care. The aim of this study was to determine the amount and content of written information published by Belgian health services and related to primary prevention of breast cancer. We collected all available French language brochures and leaflets related to breast cancer primary prevention and analyzed which risk factors and risk reduction strategies were mentioned. Risk factors and prevention strategies were seldom mentioned. Among the 21 selected leaflets, pertinent to the patient, alcohol was mentioned in eight leaflets; age and genetic predisposition in five; overweight/obesity, personal history of breast cancer, and exercise in four; hormonal treatment in three; family history in two; earlier high-risk benign lesions in one, and ethnicity, breast density, and earlier chest radiation therapy in none. Lifestyle modifications were described in nine, but not one mentioned chemoprevention and risk reduction surgeries. As breast cancer risk reduction now represents an achievable medical objective for women, available written information to women must be improved to help them make an informed choice regarding risk reduction strategies.