Socioeconomic and clinical factors affecting the proportion of breast conserving surgery in Chinese women with breast cancer
Introduction
The National Surgical Adjuvant Breast and Bowel Project (NSABP) and European Milan trial confirmed that breast conserving surgery (BCS) in combination with radiotherapy showed no significant difference in disease-free survival (DFS) and overall survival (OS) compared with mastectomy (1,2). BCS has become the standard treatment for early breast cancer, and compared with mastectomy, is associated with reduced psychological burden, better cosmetic outcomes, and a reduced risk of wound infection (3,4). This has led to an increase of BCS in many countries. A report from Canada showed that the breast conserving rate has been on the rise since the 1970s. In the United States, Surveillance, Epidemiology, and End Results (SEER) data showed this was 55–60% between 2000 and 2006 (4), while In Europe, data from more than 20 breast cancer treatment centers certified by the European Society of Breast Cancer Specialists (EUSOMA) from 2003 to 2010 showed that the rate was between 75% and 80% (5). In China, since the 1990s, BCS has gradually become the recommended surgical treatment for early breast cancer (6), and even in developed regions such as Beijing and Shanghai, the rate of BCS rose from 12.1% in 2005 to 24.3% in 2008. Between 2005 and 2018, only 16.8% of 51,678 breast cancer patients receiving surgical treatment in our hospital chose BCS (6). However, in the past 3 years, this has risen to about 24.7%. Therefore, it is necessary to study the reasons for the low proportion of BCS in China. Retrospective study had found that breast cancer patients’ socioeconomic status is the predominant factor in determining whether a breast cancer patient receives breast conserving therapy (BCT) or not in China in 2012 (7). Are there other socio-economic factors affecting the implementation of BCS in the past decade? And doctors should also pay attention to the clinical factors that improve the success rate of BCS in the process of clinical treatment on the other hand. Therefore, it is necessary to study the socioeconomic and clinical factors reasons for the low proportion of BCS in China.
The first objective of the current study was to compare the socioeconomic status of BCS and modified radical mastectomy (MRM) patients in order to understand what prevents eligible breast cancer patients from receiving BCS. Not all women with breast cancer are appropriate candidates for BCT. Patient with T stage 1–2; and negative intraoperative frozen section analysis (FSA) of the margin. Most breast cancer treatment guidelines state that the expected cosmetic outcome and patient preferences should guide the decision to perform BCS. We hypothesized on the premise of meeting the requirements of BCS, patients with higher level of education, lived in urban areas, nationality, had medical insurance and personal income are the factors that may influence the patients’ options in receiving BCT.
The most important disadvantage of BCS is the possibility of tumor at or near the excised edge (8). Therefore, BCS needs to remove the tumor and ensure there are no residual tumor cells at the surgical margin, to reduce the risk of local recurrence. Positive section margins found in the final paraffin sections of some patients require reoperation, which leads to a delay in the initiation of adjuvant therapy, an increase in the amount of mastectomy compared to the primary surgery, poor appearance, increased anesthesia risk, patient anxiety, higher cost, and an increased recurrence rate (9). Therefore, it is essential to analyze the influencing factors of a positive resection margin of the FSA and how to improve the primary success rate of BCS. Breast magnetic resonance imaging (MRI) has been widely used in breast cancer patients to assess tumor status, and previous studies reported it could improve the success rate of BCS (10,11). Therefore, it is important to analyze preoperative MRI findings associations with a positive resection margin during BCS.
We present the following article in accordance with the STROBE reporting checklist (available at https://gs.amegroups.com/article/view/10.21037/gs-22-25/rc).
Methods
Socioecnomic features
Patients and materials
A total of 51,237 breast cancer patients were treated in the Tianjin Medical University Cancer Institute and Hospital from January 2005 to January 2018, among whom 8,640 patients underwent BCS. We randomly selected 640 breast cancer patients (stage I or II) treated with BCS from January 2005 to January 2018 according to their admission number and compared them with 700 breast cancer patients who met the criteria for BCS but were treated with MRM during the same time period. All patients were pathologically confirmed to have primary breast cancer. Patient information was collected through telephone interviews or face-to-face interviews and included age, residence, medical insurance, Personal income, education level, and nationality.
All procedures performed in this study were in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of Tianjin Medical University Cancer Institute and Hospital (No. bc2015014) and the need for individual consent was waived due to the retrospective nature of the present study.
Clinical and pathological features
Patients and materials
The clinical and pathological data of 5,660 breast cancer patients who had received intraoperative FSA of the margin from 2005 to 2018 in the Tianjin Medical University Cancer Institute and Hospital was collected.
Patient inclusion criteria were (I) T stage 1–2, and (II) FSA of the margin. Patient exclusion criteria were (I) neoadjuvant chemotherapy was performed before surgery and (II) previous history of breast cancer. Among the 5,660 patients 3,169 had preoperative MRI. MRI findings were collected to analyze their association with a positive margin.
Surgical procedure and pathology
During the BCS, the macroscopically visible margins of normal tissue about 2 cm around the tumor were removed to ensure sufficient negative margins. After removal of the tumor-containing specimens, frozen sections about 0.5 cm thick around the resected specimens were made, and the corresponding margin positions were marked for pathological evaluation. If the result of the FSA was negative, the BCS was considered successful, and if the result was positive, further resection or mastectomy was chosen according to the judgment of the operator.
MRI technique and analysis
MRI technology: breast MRI was performed by a 3.0 T superconducting whole-body MRI scanner (GE Company, Boston, MA, USA). The patient was in the prone position with the breast hanging in the coil and the chest wall close to the coil. Conventional plain scanning was performed first, and the imaging sequence was axial lipid pressure T2-weighted imaging (T2WI), followed by dynamic enhanced scanning. A high-pressure syringe was used to inject the 15 mL of the contrast agent gadolinium dexamethasone at a speed of 2.5 mL/s, 15 and 20 mL normal saline was applied to flush at the same speed. Image analysis was conducted by two associate chief physicians with more than 5 years of experience in breast MRI diagnosis. The tumor location, size, enhancement shape, and dynamic enhancement were determined mainly based on lipid pressure T2WI, diffusion-weighted imaging (DWI), and dynamic enhancement images curve according to the American Radiology Breast Imaging and Reporting System (BI-RADS) in qualitative diagnosis of breast lesions.
Statistical methods
Initial descriptive statistics included comparisons between BCS cases and MRM controls for these characteristics using chi-square test. Multivariate analysis was performed using logistic regression analysis of statistically significant variables (P<0.05) via univariate analysis to assess factors associated with BCS. Receiver operating characteristic (ROC) curve analysis was performed to assess distance from the nipple, The following variables were included in the logistic regression analyses: age, residence, educational background, personal income, medical insurance and Nationality. All statistical tests were performed using SPSS 20.0 software (IBM Corporation, Armonk, NY, USA) and results were considered significant at a P value <0.05.
Survival analysis
Locoregional recurrence-free survival (LRRFS) was defined as the period from the date of the disease diagnosed to the date when local recurrence occurred. Distant metastasis-free survival (DMFS) was defined as the period from the date of the disease diagnosed to the date when distant recurrence occurred. The OS was defined as the time from the date of diagnosis to the date of death or loss of the follow-up. All follow-ups ended on December 31, 2017. The LRRFS, DMFS, and OS were calculated using the Kaplan-Meier method and the survival distribution between groups was compared by log-rank test. All data were collected completely.
Results
Socioeconomic features
A total of 1,340 breast cancer patients were included in this study, and comparison of socioeconomic factors between BCS and MRM patients are shown in Table 1. Compared with the MRM patients, BCS patients were significantly younger, lived in urban areas, were of the Han nationality, had medical insurance, had higher personal income, and were well educated (Table 1).
Table 1
Factors | BCS | MRM | χ2 | P |
---|---|---|---|---|
Age (years) | 173.533 | <0.01 | ||
<40 | 215 | 60 | ||
40–60 | 320 | 581 | ||
>60 | 105 | 59 | ||
Residence | 14.653 | <0.01 | ||
Urban | 448 | 420 | ||
Rural | 192 | 280 | ||
Medical insurance | 51.331 | <0.01 | ||
Yes | 576 | 525 | ||
No | 64 | 175 | ||
Personal income (yuan) | 44.081 | <0.01 | ||
<1,000 | 13 | 77 | ||
1,000–3,000 | 448 | 462 | ||
>3,000 | 179 | 161 | ||
Educational background | 31.918 | <0.01 | ||
Primary school | 57 | 122 | ||
Junior middle school | 435 | 380 | ||
Senior high school and above | 148 | 198 | ||
Nationality | 5.761 | 0.016 | ||
Han nationality | 608 | 642 | ||
Minority nationality | 32 | 58 |
MRM, modified radical mastectomy; BCS, breast conserving surgery.
Multivariate analysis of BCS socioeconomic influencing factors showed breast cancer patients who were younger, lived in urban areas, had medical insurance, had higher levels of education and a high Personal income were more likely to choose BCS. We also observed that the Han nationality were more likely to choose BCS [odds ratio (OR) =1.817; P=0.018] (Table 2).
Table 2
Factors | OR | 95% CI | P |
---|---|---|---|
Age (years) | |||
<40 | 2.785 | 1.756–4.417 | <0.001 |
40–60 | 0.312 | 0.215–0.454 | <0.001 |
>60 | Ref | ||
Residence | |||
Urban | 2.247 | 1.722–2.933 | <0.001 |
Rural | Ref | ||
Personal income (yuan) | |||
<1,000 | 0.257 | 0.124–0.535 | 0.001 |
1,000–3,000 | 0.976 | 0.738–1.291 | 0.865 |
>3,000 | Ref | ||
Educational background | |||
Primary school | 0.401 | 0.271–0.581 | <0.001 |
Junior middle school | 1.313 | 0.853–2.020 | 0.216 |
Senior high school and above | Ref | ||
Nationality | |||
Han nationality | 1.817 | 1.110–2.974 | 0.018 |
Minority nationality | Ref |
BCS, breast conserving surgery; OR, odds ratio; CI, confidence interval.
Clinical and pathological features
Clinicopathological factors and positive section margin
A total of 5,660 breast cancer patients who had planned to undergo BCS and were analyzed by intraoperative frozen section of the incision margin were included, as shown in Table 3. The clinicopathological data of the patients and the univariate analysis results of the positive margin influencing factors of the initial surgical margin are shown in Table 4.
Table 3
Surgical procedures | Number of case | Effective percentage (%) | Cumulative percentage (%) |
---|---|---|---|
Initial negative margin | 3,906 | 69.0 | 69.0 |
Extended resection negative margin | 826 | 14.6 | 83.6 |
Extended resection positive margin | 62 | 1.1 | 84.7 |
Mastectomy after initial positive margin | 866 | 15.3 | 100.0 |
Total | 5,660 | 100.0 | – |
Table 4
Clinicopathological factors | Positive resection margin (n=1,754), n (%) | Negative resection margin (n=3,906), n (%) | P |
---|---|---|---|
Average age [range] | 49.6 [23–85] | 49.4 [20–83] | 0.832 |
Menopausal status | 0.205 | ||
Premenopausal | 943 (16.7) | 2,028 (35.8) | |
Postmenopausal | 811 (14.3) | 1,878 (33.2) | |
Family history | 0.097 | ||
No | 1,251 (22.1) | 2,700 (47.7) | |
Yes | 503 (8.9) | 1,206 (21.3) | |
Tumor location | 0.121 | ||
Outer upper quadrant | 910 (16.1) | 2,150 (38.0) | |
Outer lower quadrant | 215 (3.8) | 481 (8.6) | |
Inner lower quadrant | 91 (1.6) | 260 (4.6) | |
Inner upper quadrant | 525 (9.3) | 934 (16.5) | |
Nipple rear | 13 (0.2) | 81 (1.3) | |
Preoperative MRI examination | 0.015 | ||
No | 814 (14.4) | 1,677 (29.6) | |
Yes | 940 (16.6) | 2,229 (39.4) | |
Pathological type | <0.001 | ||
Non-infiltrating cancer | 345 (6.1) | 436 (7.7) | |
Infiltrating specific cancer | 119 (2.1) | 210 (3.7) | |
Infiltrating non-specific cancer | 1,290 (22.8) | 3,260 (57.6) | |
Histologic grade | 0.438 | ||
I | 28 (0.5) | 78 (1.4) | |
II | 1,483 (26.2) | 3,320 (58.7) | |
III | 243 (4.3) | 508 (8.9) | |
T stage | <0.001 | ||
T1 | 1,392 (24.6) | 3,583 (63.3) | |
T2 | 362 (6.4) | 323 (5.7) | |
LVI | <0.001 | ||
No | 1,307 (23.1) | 3,571 (63.1) | |
Yes | 447 (7.9) | 335 (5.9) | |
Molecular subtype | 0.130 | ||
Luminal A | 640 (11.3) | 1,356 (24.0) | |
Luminal B | 850 (15.0) | 1,914 (33.8) | |
HER2-enriched | 164 (2.9) | 352 (6.2) | |
TNBC | 100 (1.8) | 284 (5.0) |
MRI, magnetic resonance imaging; LVI, lymphovascular invasion; HER2, human epidermal growth factor receptor-2; TNBC, triple-negative breast cancer.
Table 3 shows the overall success rate of BCS was 83.6%, and 14.6% of patients obtained a negative margin by expanded resection which was treated with BCS. Only 1.1% of patients could not reach the negative margin state after resection, and finally underwent mastectomy. However, 15.3% of patients who were initially positive for the intraoperative frozen resection margin were chosen for mastectomy.
The goal of BCS is to completely remove the tumor and achieve a negative margin while providing satisfactory cosmetic results. Therefore, this study further analyzed the influencing factors of an initial positive resection margin, and the clinicopathological characteristics and univariate analysis results are shown in Table 4. This reveals a FSA initial positive resection margin is significantly correlated with the distance between the tumor and the nipple (P=0.008), T stage (P<0.001), pathological type (P<0.001), and lymphovascular invasion (LVI) (P<0.001), and preoperative MRI examination (P=0.015).
Multivariate logistic regression analysis showed the distance from the nipple (OR =0.830; P=0.03), non-infiltrating cancer (OR =26.899; P<0.001), infiltrating specific cancer (OR =4.923; P<0.001), T stage (OR =2.599; P<0.001), LVI (OR =0.299; P<0.001), and preoperative MRI examination (OR =1.291; P=0.001) were independent factors (in Table 5) for FSA initial positive resection margin. In addition, as the closer the tumor was to the nipple, the higher the risk of a positive margin [OR =0.830; 95% confidence interval (CI): 0.700–0.982; P=0.030], we performed ROC curve analysis, and as shown in Figure 1, the area under the curve was 0.572, with a statistically significant difference compared with 0.5 (P=0.009). When the boundary value was 4.55 cm, the difference between the corresponding sensitivity and (1–specificity) was the largest. Tumor size was then divided into two groups with 4.55 cm as the cut-off value for comparative analysis. The median tumor size was 2.0 cm (Tmin =0.1 cm; Tmax =5.0 cm) when the distance from the nipple was less than 4.55 and 2.0 cm (Tmin =0.7 cm; Tmax =4.5 cm) when the distance from the nipple was more than 4.55 cm. As there was no significant difference in tumor size between the two groups (P=0.441), 4.55 cm from the nipple can be regarded as the optimal diagnostic cut-off point.
Table 5
Variables | OR | 95% CI | P |
---|---|---|---|
Preoperative MRI examination | |||
Yes | Ref | ||
No | 1.291 | 1.110–1.502 | 0.001 |
T stage | |||
T1 | Ref | ||
T2 | 2.599 | 2.093–3.228 | <0.001 |
Pathological type | |||
Infiltrating non-specific cancer | Ref | ||
Non-infiltrating cancer | 26.889 | 22.910–31.561 | <0.001 |
Infiltrating specific cancer | 4.923 | 3.796–6.386 | <0.001 |
LVI | |||
Yes | Ref | ||
No | 0.299 | 0.244–0.367 | <0.001 |
Tumor distance from nipple | 0.830 | 0.700–0.982 | 0.030 |
OR, odds ratio; CI, confidence interval; MRI, magnetic resonance imaging; LVI, lymphovascular invasion.
MRI and positive section margin
Analysis of associations between MRI Findings and a positive resection margin was conducted. Univariate analysis showed that a FSA initial positive resection margin significantly correlated with malignant enhancement of the surrounding tumor (P<0.001), larger tumor size (P<0.001), and patterns of enhancing lesions [non-mass enhancement (NME); P<0.001] (Table 6), and there was no statistically significant difference in the time-signal intensity curves (P>0.05; Table 6). Logistic analysis showed that malignant enhancement of the surrounding tumor (OR =1.647; P<0.001), tumor size (OR =0.706; P<0.001), and the patterns of enhancing lesions (NME; OR =4.433; P<0.001) were all independent predictors for a positive section margin (Table 7).
Table 6
Variables | Positive resection margin (n=940) | Negative resection margin (n=2,229) | P |
---|---|---|---|
Tumor size (cm) | <0.001 | ||
<2 | 584 | 1,562 | |
2–5 | 356 | 667 | |
Enhancement surrounding tumor | <0.001 | ||
Benign | 219 | 588 | |
Malignant | 246 | 377 | |
No | 475 | 1,264 | |
Patterns of enhancing lesions | <0.001 | ||
NME | 519 | 504 | |
Mass-like | 421 | 1,725 | |
Time-signal intensity curves | 0.524 | ||
Steady enhancement | 78 | 208 | |
Plateau of signal intensity | 310 | 1,064 | |
Washout of signal intensity | 552 | 1,819 |
MRI, magnetic resonance imaging; NME, non-mass enhancement.
Table 7
Variables | OR | 95% CI | P |
---|---|---|---|
Tumor size (cm) | |||
<2 | 0.706 | 0.596–0.836 | <0.001 |
2–5 | Ref | ||
Enhancement surrounding tumor | |||
Benign | 1.051 | 0.863–1.279 | 0.622 |
Malignant | 1.647 | 1.302–2.083 | <0.001 |
No | Ref | ||
Patterns of enhancing lesions | |||
NME | 4.433 | 3.645–5.393 | 0.001 |
Mass | Ref |
MRI, magnetic resonance imaging; OR, odds ratio; CI, confidence interval; NME, non-mass enhancement.
Survival analysis
From 2005 to 2013, the annual number of BCS conducted increased significantly, from 219 cases in 2005 to 771 cases in 2015 (Figure 2A). The percentages of BCS in those breast cancer cases were 11.4%, 12.3%, 12.7%, 12.8%, 13.2%,13.5%, 14.2%, 16.1%, and 16.6% in years 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012 and 2013, respectively (Figure 2B).
We analyzed the survival trend of breast cancer patients after increasing the proportion of BCS by comparing the LRRFS, DMFS, and OS of patients who underwent BCT between 2005 to 2010 and 2011 to 2013. The 5-year LRRFS of 2005–2010 and 2011–2013 were 97.2% and 98.4%, respectively, with significant difference (P=0.030; Figure 3A), and the 5-year DMFS of 2005–2010 and 2011–2013 were 94.1% and 95.2%, respectively, without significant difference (P=0.110; Figure 3B). The OS of 2005–2010 and 2011–2013 were 96.4% and 97.9% respectively, with significant difference (P=0.011; Figure 3C).
Discussion
Our study shows that socioeconomic factors largely effects the choice of BCS in China. Breast cancer patients with higher income and medical insurance are more likely to choose BCS, which is consistent with the results of similar studies in Chinese populations elsewhere (12,13). This might be due to patients having to undergo 20–25 days of radiation therapy after BCS, which increases the cost of treatment by an additional 10,000–15,000 RMB. The fear of the side effects of radiotherapy also affects the implementation of BCS. There is a lack of correct understanding of the nature of the disease, radiotherapy methods and curative effects.
In addition to controlling the influence of income level, compared with patients who lived in rural areas, breast cancer patients who lived in urban areas were more likely to choose BCS, which may indicate an uneven distribution of medical resources, such as the scarcity of radiotherapy equipment in rural hospitals, or a hesitancy of rural patients to leave their communities to obtain care in urban areas. We also found that patients with a higher education level were more willing to choose BCS, some patients are more worried about recurrence after treatment. The psychological pressure of breast preservation treatment may affect their quality of life more than mastectomy. When answering the question “is the effect of breast conserving treatment the same as that of mastectomy”, doctors’ vague answer is often one of the reasons why patients refuse breast conserving treatment. The guiding role of medical practitioners: knowledge level, aesthetic concept and current doctor-patient relationship are also one of the limiting factors for BCT. The patients with a higher education level can better understand the significance of BCS and have higher aesthetic requirements, which may be related to their ability to understand its safety and communicate with doctors more effectively.
At the same time, we also found that compared with minority populations, Han breast cancer patients were more willing to choose BCS. During the investigation, we found that some minorities had their own unique ethnic customs and beliefs, which makes them not want to retain the diseased breast. However, due to the large number of ethnic minorities in China and the fact that some live in specific areas, we did not enroll enough minority breast cancer patients, which limited our further exploration of their views.
Compared with mastectomy, the most important disadvantage of BCS is the higher risk of local recurrence due to the presence of residual small tumors at the surgical margin (14). Negative surgical margins are essential to reduce local recurrence, so the most important part in BCS is to achieve a negative surgical margin under the microscope. In BCS, the rate of reoperation can be greatly reduced by the use of FSA to evaluate the margin state during surgery (15,16). Therefore, this study aimed at analyzing the clinicopathological factors and MRI findings affecting the positive FSA resection margin.
Several studies have suggested the predictors of positive surgical margins include lobular histology, LVI, insufficient preoperative diagnosis, larger tumor size, younger age, presence of ductal carcinoma in situ (DCIS), and the detection of microcalcification (17,18). In our study, we found that the closer the tumor was to the nipple, the greater the possibility of a positive section margin (P=0.009). The ROC curve analysis showed that the distance from the nipple was 4.55 cm as the optimal cut-off value, and there was no significant relationship with tumor size (P=0.411). Therefore, the distance from the nipple was further determined as an independent factor affecting the positive section margin of BCS, but its predictive value and accuracy still need to be further determined by multi-center studies and larger sample sizes.
This study showed that non-infiltrating cancer was riskier than infiltrating non-specific cancer in BCS. Non-infiltrating cancer breast cancer, also known as carcinoma in situ, includes lobular carcinoma in situ and intraductal carcinoma. In addition, multiple studies have demonstrated that DCIS components are predictive factors for residual lesions (17-19). DCIS can spread along the ducts and tends to exceed the range defined by negative resection margins. Therefore, a sufficiently large section margin is required to reduce recurrence.
Our study showed that preoperative MRI can reduce the positive rate of surgical resection margin in BCS, although its value is controversial. In a preoperative evaluation of 123 breast cancer cases using MRI, Obdeijn et al. (20) showed that compared with ultrasound and mammography, preoperative MRI examination could significantly reduce the positive rate of surgical margin in BCS, from 29.3% to 15.8%. However, Shin et al. (21) showed that the positive rate of surgical margin was 23.4% in the preoperative MRI group and 23% in the preoperative non-MRI group, without statistically significant difference (P>0.05). In this study, we analyzed the association between MRI findings with positive section margin, and the results showed that malignant enhancement surrounding the tumor is an independent predictor of positive section margin. Although dynamic enhanced MRI scanning can well display abnormal changes around the tumor, including benign enhancing signs (background reinforcement or adenosis) or malignant signs (such as composition of DCIS), using MRI findings alone it is difficult to identify the nature of enhancement. According to Kim et al. (22), the NME group had the highest resection rate after BCS (22.2%; P=0.02), and Kang et al. (23) reported NME was significantly associated with a positive resection margin. Similar to previous studies, NME was an independent predictor of a positive resection margin compared with mass without NME (OR =4.433; P<0.001), which might be explained by the presence of a DCIS component. DCIS more commonly presented as NME than a mass on MRI. Therefore, we should pay attention to the risk of NME and expand the section margin during surgery. When surgeons perform BCS, the design of breast conserving margin should be combined with clinical and imaging features to further reduce the proportion of positive margin, so as to improve the success rate of breast conserving. The implementation of breast-conserving surgery should be carried out in accordance with the above points.
In conclusion, socioeconomic factors in China largely influence the choice of surgical procedures for breast cancer patients. Public education around BCS should increase to reduce the impact of socioeconomic factors on the choice of BCS, the establishment of multidisciplinary diagnosis and treatment mode in Department of breast surgery, imaging, pathology and radiotherapy can enable patients to have a comprehensive understanding of the treatment before starting treatment. This understanding can further affect patients’ choice of breast cancer surgery. Hospitals should hold patient churches regularly to exchange professional knowledge between doctors and patients and between patients, which can not only strengthen the sense of trust between doctors and patients, but also enable patients to understand diseases more correctly and make more suitable medical decisions. And preoperative MRI should be encouraged in patients preparing for this surgery. Clinicopathological characteristics (distance from the nipple, T stage, pathological subtype, and LVI) and MRI findings (tumor size, enhancement surrounding tumor, and NME) are significantly associated with a positive resection margin in breast cancer patients.
Acknowledgments
Funding: This study was supported by research funding from the Tianjin Municipal Science and Technology Committee (No. 19YFZCSY00030), and General Project of Scientific Research Program of Tianjin Municipal Education Commission (No. 2019KJ186).
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://gs.amegroups.com/article/view/10.21037/gs-22-25/rc
Data Sharing Statement: Available at https://gs.amegroups.com/article/view/10.21037/gs-22-25/dss
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://gs.amegroups.com/article/view/10.21037/gs-22-25/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All procedures performed in this study were in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of Tianjin Medical University Cancer Institute and Hospital (No. bc2015014) and the need for individual consent was waived due to the retrospective nature of the present study.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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(English Language Editor: B. Draper)