Nipple-areolar Complex Invasion Research Articles

Comparison of the Magnetic Resonance Imaging Findings of Paget's Disease of the Breast and Malignant Tumor Invasion of the Nipple-Areola Complex.

We aimed to investigate the distinction between Paget's disease of the breast (PDB) and malignant tumor invasion of nipple-areolar complex (MTION) with Magnetic resonance imaging (MRI) findings without the need for skin punch biopsy. MRI findings of 16 patients with pathologically proven PDB and 11 patients with pathologically proven MTION were reviewed retrospectively. MRI images were assessed for nipple morphological changes; areolar-periareolar skin changes; thickness, classification, and kinetic characteristics of the nipple-areolar complex (NAC) enhancement; morphological pattern, size, and pathological diagnosis of concomitant malignant lesions; kinetic characteristics of the concomitant malignant lesions enhancement; continuity of enhancement between the nipple and closest concomitant malignant lesion; similarity of enhancement kinetics of the NAC and concomitant malignant lesions; and nipple-to-malignant lesion distance in both patient groups. Areolar-periareolar skin thickening was statistically different between the patient groups. Enhancement kinetic pattern was classified as persistent in four patients with MTION and plateau in seven patients with PDB. Moreover, NAC enhancement kinetic characteristics were statistically different between the groups. Invasive ductal carcinoma was detected in three patients with PDB and five patients with MTION. A statistically significant difference in malignant lesion pathological types was detected between the patient groups. The significant MRI findings in patients with MTION diagnosed as invasive ductal carcinoma were areolar-periareolar skin thickening and asymmetric NAC enhancement with persistent kinetics pattern. In patients diagnosed with ductal carcinoma in situ, a plateau pattern of asymmetric NAC enhancement without any areolar-periareolar skin changes on MRI may indicate PDB.

Prediction of nipple-areolar complex involvement by breast cancer: role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)

BackgroundSkin-sparing and nipple-sparing mastectomies were considered as alternative techniques for modified radical mastectomy. In patients who are candidates for nipple-sparing mastectomy, preoperative assessment of the nipple-areolar complex (NAC) is essential for adequate surgical planning. Breast MRI is highly sensitive for cancer detection and has an important role in disease staging. The aim of this study was to estimate the role of DCE-MRI in predicting malignant NAC invasion by underlying breast cancer and assess the best predictors on MRI that can suspect malignant NAC invasion.ResultsOut of the 125 patients with breast cancer, 33 patients (26.4%) showed malignant NAC invasion. On basis of multivariate analysis, abnormal nipple enhancement, tumor nipple enhancement, tumor nipple distance ≤ 2 cm, and abnormal and asymmetric nipple morphology were all significant predictors of malignant NAC invasion (P < 0.001) with abnormal unilateral nipple enhancement as the most important independent MRI predictor of malignant NAC invasion (odds ratio = 61.07, 95% CI 12.81–291.22, P < 0.001). When combining more than positive suspicious MRI features, DCE-MRI had 66.6% sensitivity, 76% specificity, 50% PPV, 86.4% NPV, and 73.6% accuracy in prediction of malignant NAC invasion.ConclusionDCE-MRI could predict malignant NAC invasion with abnormal unilateral nipple enhancement as the most important independent MRI predictor.

Role of diffusion-weighted imaging in prediction of nipple-areolar complex invasion by breast cancer

The aim of this workThe aim of this work was to estimate the role of diffusion-weighted imaging (DWI) in predicting malignant invasion of the nipple-areolar complex (NAC) by underlying breast cancer. Material and methodsThis prospective study included 70 female patients with breast cancer with a mean age of 45.8 years (range: 28–68). DWI of the breast was done for all patients. Apparent diffusion coefficient (ADC) maps were automatically constructed. The mean ADC values of NAC were independently measured by two observers who are experts in breast imaging and correlated with the results of histopathological examinations. ResultsBoth observers found a significantly lower ADC value of malignant NAC invasion (n = 18) when compared with free NAC (n = 52), with mean ADC value for malignant NAC invasion was 0.86 ± 0.35 × 10−3 mm2/s and 0.84 ± 0.08 × 10−3 mm2/s for observer one and two respectively versus mean ADC value of 1.34 ± 0.25 × 10−3 mm2/s and 1.4 ± 0.26 × 10−3 mm2/s for free NAC by observer one and two respectively (P-value =0.001). Observer one found that a cutoff ADC value of 1.05 × 0−3 mm2/s can predict malignant NAC invasion with 0.975 AUC, 92.8% accuracy, 94.4% sensitivity, and 92.3% specificity. Observer two found that a cutoff ADC value of 0.95 × 10−3 mm2/s can predict malignant NAC invasion with 0.992 AUC, 95.7% accuracy, 88.9% sensitivity, and 98.1% specificity. ConclusionDWI can predict malignant NAC invasion in patients with breast cancer.

Predictive factors for the presence of invasive components in patients diagnosed with ductal carcinoma in situ based on preoperative biopsy

BackgroundIn patients diagnosed with ductal carcinoma in situ (DCIS) with needle biopsy before surgery, invasive component (IC) is often found in the postoperative tissue, which results in altered post-surgical care. However, there are no clinically available factors to predict IC, and few MRI studies are available for the detection of IC in DCIS patients. The purpose of this study was to evaluate which risk factors can predict IC preoperatively.MethodsPatients with a DCIS diagnosis based on preoperative biopsy, who underwent breast surgery Kangbuk Samsung Hospital between Jan 2005 and June 2018, were retrospectively evaluated. Clinico-pathological and breast MRI factors were compared between DCIS and DCIS with IC in postsurgical specimens.ResultsOf the 431 patients with a preoperative diagnosis of DCIS, 34 (7.9%) showed IC during the postoperative pathological investigations, and 217 (50.3%) underwent breast MRI. Among MRI-related factors, Mass-like enhancement on MRI was the sole but significant predictor of IC (HR = 0.26, C.I. = 0.07–0.93, p = 0.038), while nipple-areolar complex invasion, enhancement peak and pattern were not statistically significant. Nuclear grade was the only significant predictor of IC in the analysis of other clinico-pathological factors (HR = 2.39, C.I. = 1.05–5.42, p = 0.038 in univariate analysis, HR = 2.86, C.I. = 1.14–7.14, p = 0.025 in multivariate analysis).ConclusionsMass-like enhancement on MRI and high nuclear grade were associated with IC in patients with preoperative diagnosis of DCIS. Considering the high sensitivity of breast MRI for IC, further evaluation of the predictive value of MRI in preoperative DCIS patients is desirable.

Role of breast magnetic resonance imaging in predicting malignant invasion of the nipple-areolar complex

In this study, we assessed the diagnostic accuracy of breast magnetic resonance imaging (MRI) for evaluation of malignant invasion of the nipple-areolar complex (NAC).Patients with primary operable breast cancer who underwent preoperative breast MRI and received surgery during January 2011 to December 2013 were collected. The accuracy and potential factors of MRI in predicting nipple invasion were evaluated by comparing preoperative MRI with postoperative histopathologic findings. The consistency of interobservers’ variances across different radiologists was also compared.Totally, 704 patients were enrolled in this study, and 56 (8%) patients have pathologic NAC invasion. Several MRI factors were potential predictors of nipple invasion. Only unilateral nipple enhancement on MRI was the most significant independent predictor of NAC involvement in multivariate analysis. The statistical measures, such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the accuracy of breast MRI were 71.4%, 81.6%, 25.2%, 97.1%, and 80.8%, respectively, in one investigator and 78.6%, 88.1%, 36.4%, 97.9%, and 87.4%, respectively, in the other investigator.MR images showed acceptable accuracy and impressive NPV, but low PPV in evaluation of malignant NAC invasion preoperatively. MRI finding of unilateral nipple enhancement was the most significant predictor of NAC involvement.

Predicting Malignant Invasion of Nipple Areolar Complex Using Preoperative Ultrasound Exam

To retrospectively review ultrasonographic imaging and clinicopathological data to determine which factors are able to predict malignant invasion of the nipple-areolar complex. We retrospectively reviewed the medical records of 667 patients with breast cancer who underwent mastectomy between March 2008 and May 2016 at our institution. Of these, the records of 123 patients with breast cancer within 2 cm of the nipple areolar complex were included in this study. Clinicopathological data of the primary tumor and imaging findings from ultrasonography were used to compare the cases with nipple involvement by cancer with those that did not show nipple involvement. The tumor involvement pattern to nipple areolar complex on ultrasonography was categorized to four types; subareolar type, duct dilatation type, abutting type and involving type. Twenty of the 123 patients had nipple involvement by cancer. Tumor involvement pattern on ultrasnography showed subareolar, duct dilatation, abutting and involving type in 2, 2, 8 and 8 patients. Perineural invasion, lymphovascular invasion, lymph node metastasis and tumor involvement pattern on ultrasonography were statistically significant factors associated with nipple involvement by cancer. Preoperative image findings on ultrasonography appear to be effective predictors for nipple involvement by cancer.

Abstract P4-02-03: The diagnostic accuracy of breast MRI in the prediction of malignant invasion of nipple areolar complex (NAC) of breast

Abstract Purpose: Nipple sparing mastectomy is increasingly used as a surgical treatment for breast cancer. To correctly predict the possibility of nipple invasion pre-operatively is critical important to prevent occult nipple invasion or early nipple recurrence. The objective of our study is to assess the diagnostic accuracy of breast MRI for the evaluation of malignant invasion of the nipple-areolar complex (NAC). Material and Methods: From January 2011 to December 2013, patients with primary operable breast cancer diagnosed and treated at Changhua Christian Hospital (CCH), Taiwan were searched. The inclusion criteria were primary operable breast cancer patients, who received pre-operative breast MRI, and received breast cancer operation at CCH. The exclusion criteria were patients whose primary tumor was removed before definite cancer operation, those who received neoadjuvant chemotherapy, or patient's detailed data not available. Breast MRI examinations were retrospectively reviewed for nipple invasion or retraction, periareolar skin thickening, nipple areolar complex enhancement, relationship to the subareolar mass, malignant mass pattern, thickness of nipple-areolar complex enhancement, tumor-nipple distance and tumor size, and were correlated with pathologic findings. The accuracy of breast MRI to predict nipple invasion was compared with pre-operative image and post-operative pathologic reports. Results: A total 704 primary operable breast cancers with pre-operative MRI and post operative pathologic reports were enrolled in our current study. In the total 704 patients, MRI showed signs of suspect NAC invasion in 160 (22.7%) patients. Total 41 (25.6%) patients were pathologic proven malignant invasion of NAC. In the final pathologic analysis, 57 pathologic confirmed NAC invasions were found in the 704 patients. The overall nipple invasion rate was 8.1% in this current study. The sensitivity of Breast MRI to predict NAC involvement was 71.9%. The Specificity of breast MRI to NAC invasion is 81.6%. The positive predictive value of breast MRI is 25.6%. The negative predictive value of breast MRI is 97.1%. The accuracy of breast MRI to predict NAC involvement is 80.8%. In univariate logistic regression analysis, tumor size, lymph node metastasis, central location of tumor, unilateral nipple enhancement, relationship to tumor, and HER-2 overexpression were prognostic factors for NAC invasion. In multivariate analysis, unilateral nipple enhancement (hazard ratio=4.944, CI: 1.938-12.616, P=0.001) was the most significant independently risk factor associated with the increased risk of NAC involvement. Multivariate analysis of factors related to nipple invasion Multivariate analysisParametersOdds ratio95% CIpMRI tumor size0.8500.716-1.0090.063Distance to nipples (cm)1.1990.931-1.5440.160Location of tumor (Central)1.6830.724-3.9120.226Nipple enhancement (Unilateral)4.9441.938-12.6160.001Relationship (Yes)1.6160.625-4.1770.322MRI Lymph node metastasis (Yes)1.6740.870-3.2240.123 Conclusion: MRI is an useful diagnostic image method for the evaluation of malignant invasion of the nipple-areolar complex. Through preoperative breast MRI evaluation of NAC status, more personalized oncoplastic breast surgery could be performed. Citation Format: Lai H-W, Chen S-T, Chen D-R, Wu H-K, Kuo S-J. The diagnostic accuracy of breast MRI in the prediction of malignant invasion of nipple areolar complex (NAC) of breast. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P4-02-03.

Preoperative clinicopathologic factors and breast magnetic resonance imaging features can predict ductal carcinoma in situ with invasive components

PurposeDuctal carcinoma in situ (DCIS) is a non-invasive cancerous breast lesion; however, from 10% to 50% of patients with DCIS diagnosed by core needle biopsy (CNB) or vacuum-assisted core biopsy (VACB) are shown to have invasive carcinoma after surgical excision. In this study, we evaluated whether preoperative clinicopathologic factors and breast magnetic resonance image (MRI) features are predictive of DCIS with invasive components before surgery. Materials and methodsPatients comprised 128 adult women with a diagnosis of DCIS as determined by pathological analysis of CNB or VACB specimens and positive MRI findings who underwent breast surgery during the period January 2011 to December 2013 at the Changhua Christian Hospital. Clinicopathologic and breast MRI factors were compared between patients with postoperative pathology indicative of true DCIS and those with postoperative pathology showing DCIS with invasive components. ResultsOf the 128 patients with a preoperative diagnosis of DCIS, 73 (57.0%) had postoperative histopathologic evidence of true DCIS and 55 (43.0%) showed evidence of DCIS with invasive components. Results of statistical analyses revealed that MRI evidence of a mass-like lesion (P=0.025), nipple-areolar complex (NAC) invasion (P=0.029), larger tumor volume (P=0.010), larger maximum measurable apparent diffusion coefficient (ADC) area (P=0.039), heterogenous or rim enhancement pattern (P=0.010), as well as immunohistochemical evidence of human epidermal growth factor receptor 2 (HER-2) overexpression (P=0.010) were predictive of DCIS with an invasive component in postoperative surgical specimens. ConclusionInvasive component should be considered in biopsy proven DCIS patients with preoperative MRI evidence of a mass-like lesion, nipple-areolar complex invasion, large tumor volume, a larger maximum measurable ADC area, or a rim or heterogenous enhancement pattern, as well as in patients with immunohistochemical evidence of HER-2 overexpression.

P319 Role of breast MRI in prediction of malignant invasion of nipple areolar complex

P319 Role of breast MRI in prediction of malignant invasion of nipple areolar complex

Avaliação dos fatores preditivos de invasão neoplásica do complexo areolomamilar em pacientes com câncer de mama

INTRODUCTION: The choice for having mastectomy with preservation of the nipple-areolar complex (NAC), with better esthetic results, depends on the abscence of neoplastic invasion of the NAC. OBJECTIVE: To identify the predictive factors related to neoplastic NAC invasion. METHODS: We carried out a retrospective, analytical and clinical-pathologic study comprising 48 mastectomy specimens of breast carcinoma from patients treated at Cancer Institute of Paraiba - Napoleao Laureano Foundation (Hospital de Câncer da Paraiba - Fundacao Napoleao Laureano) from April 2007 to January 2008. The mean age was 52.69 ± 10.72. The NAC complex was sectioned separately and perpendicular and parallel cuts were performed from the papilla extending 2 cm deep into the retroareolar tissue (including collecting ducts, lactiferous sinuses and segmental ducts), followed by transverse cuts toward the deep margin. RESULTS: The frequency of NAC involvement by invasive carcinoma was 14.58%. The following characteristics were associated with a higher risk of NAC involvement (p < 0.05): younger patients (mean age 42.3 ± 4.7 years), distance between the tumor and the areola/nipple < 2 cm, size of the areola < 3 cm, histological type (invasive ductal carcinoma associated with comedo type ductal carcinoma in situ), status of axillary lymph nodes (mainly with metastasis in 10 or more lymph nodes), presence of lymphovascular and perineural invasion, and inflammatory infiltrate of intra/peritumoral stroma. Smaller areolas correlated significantly with decreased breast weights (p < 0.0016), which demonstrated that the breast size had a greater impact on NAC involvement in comparison with the tumor diameter. CONCLUSION: The results of this study enabled us to identify factors associated with an increased risk of neoplastic NAC invasion.