Literature DB >> 22006374

Predictors of nipple-areolar complex involvement by breast carcinoma: histopathologic analysis of 787 consecutive therapeutic mastectomy specimens.

Jianli Wang1, Xiuli Xiao, Jianmin Wang, Naazneen Iqbal, Laurie Baxter, Kristin A Skinner, David G Hicks, Steven I Hajdu, Ping Tang.   

Abstract

BACKGROUND: Breast-conserving therapy (BCT) is an accepted therapeutic option for most breast cancer patients. However, mastectomy is still performed in 30-50% of patients undergoing surgeries. There is increasing interest in preservation of the nipple and/or areola in hopes of achieving improved cosmetic and functional outcomes; however, the oncologic safety of nipple-areolar complex (NAC) preservation is a major concern. We sought to identify the predictive factors for NAC involvement in breast cancer patients.
METHODS: We analyzed the rates and types of NAC involvement by breast carcinoma, and its association with other clinicopathologic features of the tumors in 787 consecutive therapeutic mastectomies performed at our institution between 1997 and 2009.
RESULTS: Among these, 75 cases (9.5%) demonstrated NAC involvement. Only 21 (28%) of 75 of cases with NAC involvement could be identified grossly by inspection of the surgical specimen (seven of these had been clinically identified). NAC involvement was most significantly associated with tumors located in all four quadrants (P<0.0001), tumors>5 cm in size (P=0.0014 for invasive carcinoma and P=0.0032 for in-situ carcinoma), grade 3 tumors (P=0.0192), tumors with higher nuclear grades (P=0.0184), and tumors with HER2 overexpression (P=0.0137).
CONCLUSIONS: On the basis of our findings, we have developed a mathematical model that is based on the extent and location of the tumor, HER2 expression, and nuclear grade that predicts the probability of NAC involvement by breast cancer. This model may aid in preoperative planning in selecting appropriate surgical procedures based on an individual patient's relative risk of NAC involvement.

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Year:  2011        PMID: 22006374      PMCID: PMC3309146          DOI: 10.1245/s10434-011-2107-3

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


After the results of the NSABP B-06 study were reported, the National Institutes of Health released a consensus statement on the “Treatment of Early-Stage Breast Cancer” stating that “breast conservation treatment is an appropriate method of primary therapy for the majority of women with Stage I and II breast cancer and is preferable because it provides survival equivalent to total mastectomy and axillary dissection while preserving the breast”.1,2 As a result, breast-conserving therapy (BCT) is an accepted therapeutic option for most breast cancer patients.3 However, mastectomy is still performed in 30–50% of patients undergoing surgery for breast cancer, either because the patient is not thought to be a candidate for BCT or because of patient preference. Many women undergo immediate reconstruction at the time of their mastectomy, and skin-sparing mastectomy (SSM) is routinely performed in this setting. SSM, which removes all breast tissue, the nipple–areola complex (NAC), and biopsy scar if present, has been proven to be oncologically safe compared to conventional non-SSM.4 There is increasing interest in preservation of the nipple and/or areola in hopes of achieving improved cosmetic and functional outcomes.5–8 Studies have shown that the rates of NAC involvement vary from 0 to 58%.9–11 However, these early studies may not serve as a reliable guide for current practice, as the indications for mastectomy have shifted from being the only choice for all breast cancer patients to being used primarily for larger and multicentric tumors, tumors with multiple positive margins, or recurrent tumors. Clearly, NAC removal may not be necessary for all patients undergoing mastectomy. Nipple-sparing mastectomy (NSM) as a potential alternative to SSM may be suitable only for a small and ill-defined group of candidates who have small solitary and/or peripheral tumors.12–14 Because NSM does leave behind possible occult nipple involvement by primary tumor and ductal tissue that may become the origin for new cancer, its oncologic safety remains controversial. This current study utilized the therapeutic SSM specimens from a large retrospective cohort of patients in which the NAC were uniformly processed and entirely embedded for microscopic examination. We intended to investigate the frequency of occult NAC involvement in this unselected population of patients in this postmammogram era; the types of lesions that involve the NAC; and the clinicopathologic factors most frequently associated with NAC involvement. Finally, we sought to propose a model that may predict NAC involvement with reasonable accuracy on the basis of our current data.

Methods

Seven hundred eighty-seven consecutive unselected therapeutic mastectomies from the files of the Department of Pathology at the University of Rochester Medical Center between 1997 and 2009 were identified. These included 21 cases with clinically (n = 7) or grossly identified (n = 21, including the seven clinically identified cases) NAC involvement. All mastectomy specimens were inked and sectioned from medial to lateral into no greater than 1-cm-thick tissue sections and grossly examined. The nipples were uniformly shaved, sectioned at 2–3-mm intervals vertically, and submitted perpendicularly for microscopic examination, and the areolas were shaved and submitted en face. The identification of tumor cells in these sections was considered as NAC involvement. Clinical and pathologic factors including patient age, tumor location (e.g., upper inner, upper outer, lower inner, lower outer, or central with or without other quadrants; many tumors involved more than one quadrant), tumor type (ductal carcinoma-in-situ [DCIS], invasive ductal carcinoma [IDC], invasive lobular carcinoma [ILC], lobular carcinoma-in-situ [LCIS], or any combination of the above), multifocality (defined as two or more tumor foci present >1 cm apart from each other), tumor size (divided into four subgroups: <1 cm, 1–2 cm, 2–5 cm, and, >5 cm), histological grade (according to the modified Bloom-Richardson grading system), nuclear grade (using the 3-tier grading system), expression of estrogen receptor (ER), progesterone receptor (PR), and HER2 (ER and PR recorded as Allred scores, and HER2 recorded according to new American Society of Clinical Oncology/College of American Pathologists guidelines, which scores as a positive stain when >30% of invasive tumor cells have uniform strong membrane staining), and lymph node status (recorded as positive or negative) were reviewed and recorded. Statistical analysis was performed to compare tumors with or without nipple involvement. Apart from the descriptive analysis presented by percent of tumors with or without nipple involvement in each subgroup, the P values from Fisher’s exact test were provided as index to indicate the difference between subgroups on the proportion of cancers with nipple involvement. The logistic regression was used to develop a model to predict the probability of cancer with nipple involvement under different conditions.

Results

Patient demographics and the clinicopathologic characteristics of the 787 mastectomy specimens are listed in Table 1. Among the 787 cancers treated with mastectomy, 488 were IDC, 197 were DCIS, 63 were ILC, 22 were mixed IDC and ILC, 13 were LCIS, 3 were malignant or borderline phyllodes tumors, and one was a myofibroblastic sarcoma. In 75 cases (9.5%), there was NAC involvement by carcinoma demonstrated microscopically. Three cases of intraductal papilloma in the NAC and three cases with other benign lesions (neuroma, adenoma and trachoma) identified in NAC were not included in the statistical analysis. Among the 75 cases with microscopically identified NAC involvement, only 21 cases (28%) were identified clinically and/or grossly (Table 2).
Table 1

Clinicopathologic features of breast cancer in the current study

CharacteristicValue
Total cases787
Types of tumors in breast
 DCIS197
 IDC488
 ILC63
 IDC + ILC22
 LCIS13
 Phyllodes tumor3
 Myofibroblastic sarcoma1
Mean patient age, y56.88
Mean tumor size (invasive) (cm)2.3084
Mean tumor size (in situ) (cm)2.8021
Positive lymph node/total cases246/646 (30%)
Tumors in NAC75/787 (9.53%)
Table 2

Nipple lesions observed clinically, grossly, and microscopically

LesionClinicalGrossMicroscopic
Total no.72175
Mammary Paget disease7 (100%)12 (57%)25 (33%)
DCIS01 (4.5%)17 (23%)
IDC05 (24%)15 (20%)
LCIS02 (10%)11 (15%)
Lymphatic involvement01 (4.5%)a 4 (5%)
ILC003 (4%)

aIn this case, the tumor was 3.8 cm, grossly abutting the NAC; thus, it was grossly noted as NAC involvement. Under the microscope, the only finding from the two sections (perpendicular sections of the nipple and the shaved section of areolar) was lymphovascular invasion

Clinicopathologic features of breast cancer in the current study Nipple lesions observed clinically, grossly, and microscopically aIn this case, the tumor was 3.8 cm, grossly abutting the NAC; thus, it was grossly noted as NAC involvement. Under the microscope, the only finding from the two sections (perpendicular sections of the nipple and the shaved section of areolar) was lymphovascular invasion Mammary Paget disease was the most common nipple lesion in our study with 25 cases (33%), followed by 17 DCIS (23%), 15 IDC (20%), 11 LCIS (15%), four lymphovascular invasion (5%), and three ILC (4%) (Table 2). Less than a third of cases of Paget disease were identified clinically, and about half of the cases of Paget disease were identified grossly, which accounted for half of all grossly identified NAC lesions. Paget disease was the only lesion that was identified clinically. NAC involvement was most significantly associated with tumor location (P < 0.0001). Tumors that were located in 1–3 quadrants were much less likely to have NAC involvement (4–10%) compared to tumors that were centrally located (21%) or located in all four quadrants (34%). Tumors >5 cm in size were more likely to have nipple involvement for both in situ (18%, P = 0.0032) and invasive carcinomas (20%, P = 0.0014) than smaller tumors (6–10% for in situ tumors and 7–8% for invasive tumors, respectively). NAC involvement was also significantly associated with high histological grade (P = 0.0192) and nuclear grade (P = 0.0184). HER2 positivity was strongly associated with NAC involvement (7% in HER2 negative vs. 18% in HER2 positive tumors, P = 0.0137). Lymph node involvement was also associated with NAC involvement (8% in negative vs. 14% in positive tumors, P = 0.0331). Other clinicopathologic factors including patient age, tumor type, multifocality, and expression levels of ER and PR were not associated with NAC involvement (Table 3).
Table 3

Comparison of NAC-negative and NAC-positive cases of breast cancer

CharacteristicNAC negative (712 cases)NAC positive (75 cases) P value
Age, year (787 cases)712 cases75 cases0.8532
 <40 (77 cases)92%8%
 40–60 (417 cases)90%10%
 >60 (293 cases)90%10%
Tumor location (771 cases)696 cases75 cases<0.0001
 1 quadrant (382 cases)96%4%
 2 quadrants (200 cases)92%9%
 3 quadrants (30 cases)90%10%
 4 quadrants (35 cases)66%34%
 Central (124 cases)79%21%
Tumor type (787 cases)712 cases75 cases0.4574
 DCIS (197 cases)90%10%
 IDC (488 cases)91%9%
 ILC (54 cases)89%11%
 IDC + ILC (31 cases)81%19%
 LCIS (13 cases)92%8%
 Phyllodes tumor (3 cases)100%0%
 Myofibroblastic SA (1 case)100%0%
Multifocality (784 cases)708 cases76 cases0.1658
 No (629 cases)91%9%
 Yes (155 cases)88%12%
Size-invasive tumors (769 cases)701 cases68 cases0.0014
 < 1 cm (301 cases)92%8%
 1 to < 2 cm (161 cases)93%7%
 2 to 5 cm (214 cases)93%7%
 > 5 cm (93 cases)80%20%
Size of in situ tumors (741 cases)672 cases69 cases0.0032
 <1 cm (232 cases)94%6%
 1 to < 2 cm (125 cases)90%10%
 2 to 5 cm (261 cases)92%8%
 > 5 cm (123 cases)81%18%
Histologic grade (473 cases)429 cases44 cases0.0192
 1 (129 cases)96%4%
 2 (181 cases)91%9%
 3 (163 cases)87%14%
Nuclear grade (632 cases)573 cases59 cases0.0184
 1 (98 cases)96%4%
 2 (290 cases)92%8%
 3 (244 cases)87%13%
Estrogen receptor (512 cases)462 cases50 cases0.9334
 Negative (131 cases)89%11%
 Positive (381 cases)91%9%
Progesterone receptor (511 cases)461 cases50 cases0.2588
 Negative (175 cases)87%13%
 Positive (336 cases)92%8%
HER2 overexpression (466 cases)423 cases43 cases0.0137
 Equivocal (1 case)100%0%
 Negative (387 cases)93%7%
 Positive (78 cases)82%18%
Lymph node status (646 cases)579 cases67 cases0.0331
 Negative (399 cases)366 (92%)33 (8%)
 Positive (247 cases)213 (86%)34 (14%)
Comparison of NAC-negative and NAC-positive cases of breast cancer Among the factors that were associated with NAC involvement, tumor location, tumor HER2 status and nuclear grade are often known preoperatively with reasonable accuracy (Table 4). We generated a predictive table based on a mathematical model to predict the probability of NAC involvement by breast cancer using these three factors (Table 5). The probability for NAC involvement is lowest (1.7%) when the tumor is located in one quadrant, has a low nuclear grade and is HER2 negative; and highest (66%) when the tumor is located in all four quadrants, has a high nuclear grade and is HER2 positive.
Table 4

Logistic regression to predict NAC involvement by tumorsa

ParameterEstimateStandard errorWald χ2 P > χ2
Intercept−4.06700.659937.9797<0.0001
Two-quadrant involvement1.23190.54785.05740.0245
Three-quadrant involvement1.16691.13901.04940.3056
Four-quadrant involvement3.28430.663524.5053<0.0001
Central location2.26560.514819.3679<0.0001
HER2 positive0.79790.43983.29180.0696
Nuclear grade 20.16950.61630.07570.8732
Nuclear grade 30.00130.62081.13480.2867

aIntercept = log(P/(1 − P)) for a reference patient. The reference patient is defined as the patient having zero on all of the variables. In our case, the reference patient is the patient with a tumor that has one quadrant involvement, no central location, negative for HER2 overexpression, and a nuclear grade of one. Thus, in our case, −4.0670 = log(P/(1 − P)) where P = 1.68%. It means for a reference patient, her chance of NAC involvement is 1.68%. P indicates the probability of the NAC involvement

Table 5

Probability of NAC involvement by logistic regression modela

Tumor locationHER2Nuclear GProbability (%)
1 quadrant11.7
1 quadrant22.0
1 quadrant33.2
1 quadrant+1ND
1 quadrant+24.3
1 quadrant+36.9
2 quadrants15.6
2 quadrants26.5
2 quadrants310.2
2 quadrants+111.5
2 quadrants+213.4
2 quadrants+320.2
3 quadrants1ND
3 quadrants26.1
3 quadrants39.6
3 quadrants+1ND
3 quadrants+212.6
3 quadrants+319.1
4 quadrants131.4
4 quadrants235.1
4 quadrants347.0
4 quadrants+1ND
4 quadrants+2ND
4 quadrants+366.3
Central114.2
Central216.4
Central324.2
Central+1ND
Central+230.3
Central+341.5

ND no data (the data set does not include this kind of cancer, so its probability cannot be predicted)

a1xbeta = (−4.0670 + location + HER2 + nuclear grade); probability of NAC involvement = [exp(xbeta)/(1 + exp(xbeta))]

Logistic regression to predict NAC involvement by tumorsa aIntercept = log(P/(1 − P)) for a reference patient. The reference patient is defined as the patient having zero on all of the variables. In our case, the reference patient is the patient with a tumor that has one quadrant involvement, no central location, negative for HER2 overexpression, and a nuclear grade of one. Thus, in our case, −4.0670 = log(P/(1 − P)) where P = 1.68%. It means for a reference patient, her chance of NAC involvement is 1.68%. P indicates the probability of the NAC involvement Probability of NAC involvement by logistic regression modela ND no data (the data set does not include this kind of cancer, so its probability cannot be predicted) a1xbeta = (−4.0670 + location + HER2 + nuclear grade); probability of NAC involvement = [exp(xbeta)/(1 + exp(xbeta))]

Discussion

Most studies regarding the rate of NAC involvement by breast carcinomas are from the premammogram screening era, and thus may not reflect the current rate of NAC involvement. Also, the shift from mastectomy to breast conservation surgery, variations in patient population and in tissue processing for the NAC may also impact the observed rates of NAC involvement. A small study in 1989 of 33 cases of mostly multicentric, incompletely resected and recurrent tumors, tumors >5 cm or with retracted nipple showed a rate of NAC involvement of 58%.10 A similar rate of 50% of NAC involvement was also observed by Andersen and Pallesen in 1978.15 Both studies examined multiple transverse or vertical sections from the nipple. On the other hand, a study of 26 cases with tumors that were at least 2.5 cm from the areola and nipple showed no NAC involvement microscopically.11 In the current study, the rate of NAC involvement is 9.5%, which is compatible with prior studies of 12–23% NAC involvement.9,16,17 Laronga et al. reported that 5.6% of their 326 cases showed involvement of the NAC, but they had removed cases that had clinical NAC involvement.18 Also, many studies reported before routine mammographic screening and the use of BCT would have included smaller and peripheral tumors in their mastectomy series, which would likely lower the rate of NAC involvement.11,18 Sampling technique is another factor that affects the rate of reported nipple involvement. The traditional one sagittal section of the nipple is likely to underestimate occult NAC involvement compared to the microscopic examination of multiple coronal or vertical sections of the nipple that was used in our study and in others.10,15,19 Tumor size, tumor location, and lymph node status are three pathologic factors consistently shown to be associated with NAC involvement.18,20,21 This was confirmed in our study. We did not have information on the distance between tumor and nipple in our study, though many studies have shown that it is an important factor affecting the rate of NAC involvement.11,18,22 Lagios et al. confirmed this association with invasive carcinomas, but not with DCIS.22 Routine gross measurement of the distance from tumor mass to nipple is not always reliable, and this is especially true in cases that involve DCIS, which often present beyond grossly identifiable lesions. HER2 overexpression in our study was predictive for NAC involvement, with a P value of 0.0137. Brachtel et al. also showed that HER2 overexpression is associated with NAC involvement.23 Among the 177 cases with HER2 information in their study, 43 cases had NAC involvement, 16 of 43 of which had HER2 overexpression, resulting in a rate of 37%. In the current study, among the 43 cases with NAC involvement that had HER2 testing, 14 had HER2 overexpression (33%). The association of HER2 positivity with NAC involvement may be related to the presence of mammary Paget disease, which accounts for one of three of our NAC involvement cases. We have shown in a previous study that HER2 overexpression is one of the critical factors in predicting mammary Paget disease, which was excluded from the study of Brachtel et al.23,24 Heregulin-α, a HER-receptor family ligand and motility factor produced by normal epidermal keratinocytes, may play a role in the pathogenesis of Paget disease.25 The binding of heregulin-alpha to the HER2-receptor complex on Paget cells may serve as a chemotactic signal and result in migration of tumor cells into the overlying nipple epidermis. We also observed that Paget disease, DCIS and IDC are the most common types of lesions that involve NAC, consistent with many prior studies.10,16,26 A higher nuclear grade tended to be associated with all types of NAC involvement, with the exception of lobular carcinomas (data not shown), consistent with prior studies.22 Luttges et al. have shown that multicentricity and multifocality correlated with NAC involvement.27 We did observe a statistically significant difference in NAC involvement between tumors present in 1–3 quadrants and tumors present in all 4 quadrants, but we did not confirm multifocality to be associated with NAC involvement, which was the observation by Brachtel et al.23 Currently, SSM is being used in most centers, including ours, which allows the removal of all breast tissue and the NAC, but preserves most of the native skin enveloping the breast.4 Because NAC involvement is present in only a small percentage of breast cancers, some believe that NSM, which preserves the NAC and may provide better cosmeses and functional results, may be an appropriate alternative for many patients undergoing mastectomy with immediate reconstruction.5–7,27–29 Because most of the NAC involvement occurs within the nipple and not the areola, Simmons et al. suggested areolar-sparing mastectomy with removal of nipple while preserving the areola as an alternative to NSM.21 To exclude any patient with occult nipple involvement in this setting, intraoperative pathologic evaluation of retroareolar en-face margin or NAC core biopsy have been used in many centers.13,30 However, these techniques are not perfect; and there are still both false positive and false negative cases associated with them.23,31 Intraoperative retroareolar en-face margin assessment may be used to detect occult tumor involvement in patients undergoing NSM.14,23 Nipple needle core biopsies have also been performed to evaluate possible occult NAC involvement intraoperatively.13 The ability to accurately predict NAC involvement preoperatively can help clinicians and patients to choose the proper surgical procedure. Vyas et al. found that tumors 2.5 cm away from the NAC are predictive for no nipple involvement.32 Recurrence rate in the NAC was found to be low in patients who had early stage tumors and whose tumor was more than the 2 cm away from the NAC.14 We previously proposed that immunopathologic patterns strongly associated with mammary Paget disease depend upon the underlying tumor type (ER negative, PR negative, and HER2-positive for DCIS and HER2-positive for IDC).24 Schecter et al. proposed a predictive model for NAC involvement with 92% sensitivity and 77% specificity based on mammographic distance between tumor and nipple, tumor size, and pathologic staging in a small study of 31 cases.33 Rusby et al. have reported a similar predictive model on the basis of a study of 130 patients.34 Gulben et al. recently reported that tumor location, positive lymph nodes, and lymphatic vascular invasion were the most important risk factors; and patients with two or three risk factors had a 50% rate of NAC involvement versus only 8% in patients with one or no risk factors.35 In this study, we have shown that NAC involvement is not a rare event, and is strongly associated with tumor location, tumor size, histological grade, and HER2 overexpression. The predictive model we propose here aims to provide some guidance for patients and clinicians in presurgical planning, in conjunction with intraoperative evaluation of retroareolar en-face margin, to selective patients who are suitable for NSM.
  34 in total

1.  Neoplastic involvement of nipple-areolar complex in invasive breast cancer.

Authors:  D Santini; M Taffurelli; M C Gelli; A Grassigli; F Giosa; D Marrano; G Martinelli
Journal:  Am J Surg       Date:  1989-11       Impact factor: 2.565

Review 2.  Nipple-sparing mastectomy in breast cancer: a viable option?

Authors:  H A Cense; E J Rutgers; M Lopes Cardozo; J J Van Lanschot
Journal:  Eur J Surg Oncol       Date:  2001-09       Impact factor: 4.424

3.  Nipple involvement in peripheral breast carcinoma: a prospective study.

Authors:  G R Verma; A Kumar; K Joshi
Journal:  Indian J Cancer       Date:  1997-03       Impact factor: 1.224

4.  Different panels of markers should be used to predict mammary Paget's disease associated with in situ or invasive ductal carcinoma of the breast.

Authors:  Todd Lester; Jianmin Wang; Patricia Bourne; Qi Yang; Li Fu; Ping Tang
Journal:  Ann Clin Lab Sci       Date:  2009       Impact factor: 1.256

5.  Nipple-sparing mastectomy: critical assessment of 51 procedures and implications for selection criteria.

Authors:  Anna M Voltura; Theodore N Tsangaris; Gedge D Rosson; Lisa K Jacobs; Jaime I Flores; Navin K Singh; Pedram Argani; Charles M Balch
Journal:  Ann Surg Oncol       Date:  2008-10-16       Impact factor: 5.344

6.  Involvement of the nipple and areola in carcinoma of the breast.

Authors:  J Smith; W S Payne; J A Carney
Journal:  Surg Gynecol Obstet       Date:  1976-10

7.  Neoplastic involvement of nipple and skin flap in carcinoma of the breast.

Authors:  U Wertheim; L Ozzello
Journal:  Am J Surg Pathol       Date:  1980-12       Impact factor: 6.394

8.  Prediction of occult nipple-areola complex involvement in breast cancer patients.

Authors:  K Gulben; E Yildirim; U Berberoglu
Journal:  Neoplasma       Date:  2009       Impact factor: 2.575

9.  The oncological safety of skin sparing mastectomy with conservation of the nipple-areola complex and autologous reconstruction: an extended follow-up study.

Authors:  Bernd Gerber; Annette Krause; Max Dieterich; Günther Kundt; Toralf Reimer
Journal:  Ann Surg       Date:  2009-03       Impact factor: 12.969

Review 10.  Nipple-sparing mastectomy.

Authors:  J E Rusby; B L Smith; G P H Gui
Journal:  Br J Surg       Date:  2010-03       Impact factor: 6.939

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  11 in total

Review 1.  Immediate nipple-areola-sparing mastectomy reconstruction: An update on oncological and reconstruction techniques.

Authors:  Alexandre Mendonça Munhoz; Eduardo Montag; José Roberto Filassi; Rolf Gemperli
Journal:  World J Clin Oncol       Date:  2014-08-10

2.  Tumor-to-Nipple Distance in Selecting Patients for Nipple-sparing Mastectomy.

Authors:  Sharon L Kracoff-Sella; Tanir M Allweis; Inna Bokov; Hadas Kadar-Sfarad; Yehonatan Shifer; Evgenia Golzman; Dana Egozi
Journal:  Plast Reconstr Surg Glob Open       Date:  2020-07-21

3.  Nipple-sparing mastectomies: Clinical outcomes from a single academic institution.

Authors:  Barbara Dull; Leah Conant; Terence Myckatyn; Marissa Tenenbaum; Amy Cyr; Julie A Margenthaler
Journal:  Mol Clin Oncol       Date:  2017-04-04

4.  Nipple Areola Complex Involvement in Invasive Carcinoma Breast.

Authors:  Paul Augustine; Soundrarajan Alagu Ramesh; Ramachandran Krishnankutty Nair; Renu Sukumaran; Regi Jose; Kurian Cherian; Madhu Muralee; Iqbal Ahamad
Journal:  Indian J Surg Oncol       Date:  2018-02-08

Review 5.  Nipple areola complex sparing mastectomy.

Authors:  Camilla Rossi; Matteo Mingozzi; Annalisa Curcio; Federico Buggi; Secondo Folli
Journal:  Gland Surg       Date:  2015-12

Review 6.  Magnetic resonance imaging in the evaluation of pathologic nipple discharge: indications and imaging findings.

Authors:  Naziya Samreen; Laura B Madsen; Celin Chacko; Samantha L Heller
Journal:  Br J Radiol       Date:  2021-02-05       Impact factor: 3.039

7.  The impact of malignant nipple discharge cytology (NDc) in surgical management of breast cancer patients.

Authors:  Isabella Castellano; Jasna Metovic; Davide Balmativola; Laura Annaratone; Nelson Rangel; Elena Vissio; Riccardo Arisio; Luigia Macrì; Carla Pecchioni; Ivana Sarotto; Francesca Montarolo; Francesca Muscarà; Caterina Marchiò; Paola Cassoni; Janina Kulka; Anna Sapino
Journal:  PLoS One       Date:  2017-08-14       Impact factor: 3.240

8.  Breast cancer involvement of the nipple-areola complex and implications for nipple-sparing mastectomies: a retrospective observational study in 137 patients.

Authors:  Mohammed Faisal; Hamada Fathy; Ahmed M M Gomaa; Haidi Abd-Elzaher; Mohamed A H Ahmed; Mohamed Gamal Sayed
Journal:  Patient Saf Surg       Date:  2019-03-16

Review 9.  Nipple-sparing Mastectomy in Breast Cancer: From an Oncologic Safety Perspective.

Authors:  Nai-Si Huang; Jiong Wu
Journal:  Chin Med J (Engl)       Date:  2015-08-20       Impact factor: 2.628

10.  Clinical value of delayed 18F-FDG PET/CT for predicting nipple-areolar complex involvement in breast cancer: A comparison with clinical symptoms and breast MRI.

Authors:  Jang Yoo; Bom Sahn Kim; Jin Chung; Hai-Jeon Yoon
Journal:  PLoS One       Date:  2018-09-12       Impact factor: 3.240

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