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Breast edema score at breast MRI: its value in prediction of molecular subtype of breast cancer and its impact on axillary LN metastasis
Egyptian Journal of Radiology and Nuclear Medicine volume 55, Article number: 76 (2024)
Abstract
Background
Since many newly diagnosed breast cancer patients have breast MRI, the value of preoperative breast magnetic resonance imaging would improve if molecular subtypes could be consistently identified, and prognostic information provided in addition to diagnostic imaging. Breast edema may improve the ability to predict molecular subtypes and clinical and pathological outcomes in invasive breast cancer patients. The prognosis for breast cancer prognosis based on the findings of breast edema by magnetic resonance imaging will be useful in both pretreatment planning and prognosis. Breast edema on T2-weighted images and STIR was scored on a scale of 1 to 4, as follows: (a) breast edema score (BES) 1, no edema; (b) BES 2, peritumoral edema; (c) BES 3, pre pectoral edema; and (d) BES 4, subcutaneous edema (suspicious for occult inflammatory breast cancer “IBC”). Axillary lymph node status and number were also evaluated in T2 and STIR and after contrast administration. The aim of this work was to assess the role of tumour-related breast edema MRI features in distinguishing molecular subtypes of breast cancer and its effect on pathological axillary lymph nodes in patients with breast cancer.
Results
There was a highly significant difference between BES with respect to the molecular subtypes of breast cancer, size of the mass, Ki-67 expression, LN status, and LN number (p < 0.0001, 0.045, < 0.0001, < 0.0001, and < 0.0001 respectively). However, there was no significant difference between BES and histopathological grade in studied masses, such as p-value = 0.49.
Conclusions
Tumour-related breast edema MRI characteristics may be useful in distinguishing molecular subtypes of breast cancer and could be used as a promising feature to improve the predictive performance of pathological axillary lymph nodes in patients with breast cancer, contributing to preoperative treatment planning and prognostic outcome.
Background
Breast cancer (BC) is a complex disease with various symptoms, histological types, and molecular subtypes [1, 2]. It is essential to adequately characterise the characteristics of BC, since these varied characteristics can result in different responses for each patient. BC was the most diagnosed cancer in 2020, accounting for 2.3 million new cases worldwide (11.7%) [3].
Using genotype–phenotype classification, invasive breast cancer is divided into four subtypes based on immunohistochemistry (IHC) of several molecular markers, such as the estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER2), and Ki-67 index: (1) luminal A; (2) luminal B (HER2 negative or HER2 positive); (3) HER2-enriched; and (4) triple-negative (TN) [4].
Breast edema on T2-weighted images was graded on a scale of 1 to 4, as follows: (a) no edema (BES 1); (b) peritumoral edema (BES 2); (c) pre pectoral edema (BES 3); and (d) subcutaneous edema (BES 4) (suspicious for occult IBC) [5].
Breast edema is a prognostic factor for breast cancer and is attributed to lymphovascular invasion (LVI), lymph node metastases, and histological grade [6, 7].
Peritumoral edema detected on T2-weighted breast MRI has been considered one of the crucial indicators of invasive breast cancer prognosis [8, 9]. In addition, as a higher grade of breast edema, pre-pectoral and subcutaneous breast edemas are related to extensive lymphovascular invasion and poorer prognosis in breast cancer patients [5, 10]. Several studies have also found that individuals with breast cancer who have peritumoral edema had a greater frequency of axillary LN involvement [11].
Pathogenic processes explaining the imaging features of breast-associated edema are unidentified. Research studies have suggested that tumour angiogenesis, increased vascular permeability, and lymphatic drainage defects may induce regional or diffuse edema around the tumour [7, 10, 12]. Additionally, increasing hyaluronic acid levels, which is an extracellular glycosaminoglycan implicated in tumour growth, may cause peritumoral stromal tissue hydration and higher T2 signals in cases of breast cancer [13, 14]. BES has a favourable relationship with clinicopathological variables. Moderate and severe edemas (BES 3 and 4) were attributed to invasive clinicopathological features such as a higher clinical T stage, a higher Ki-67 index, HER2-positive and triple-negative subtypes, and positive lymphovascular invasion (LVI). Histopathological findings such as lymphovascular invasion, vessel ectasia, and stromal fibrosis are all involved in peritumoral edema [15]. Some studies also found that edema-related breast tumours were more common in Non luminal subtypes, tumours with high Ki-67 levels, and larger tumours [16].
The work aimed to assess the role of tumour-related breast edema MRI features in distinguishing molecular subtypes of breast cancer and its effect on pathological axillary lymph nodes in patients with breast cancer, which valuably helps in preoperative treatment planning and prognosis.
Methods
It was a retrospective study of a 2-year duration which was conducted at the diagnostic and interventional radiology department, on 60 patients presented by 169 masses, the mean SD for patient age was 46.3 ± 10.8 years old, 66 lesions (39.1%) were Luminal A, 37 lesions (21.9%) were` Luminal B, 30 lesions (17.7%) were HER2+, and 36 lesions (21.3%) were TN. The protocol was reviewed and approved by the Medical Ethics Committee. IRP local approval number: 04-2023-300141. The inclusion criteria were the patients diagnosed with breast cancer who had complete medical records, including MRI and biopsy with histopathology and immunohistochemistry. Exclusion criteria include patients who received neoadjuvant therapy and patients who have incomplete medical records.
MR imaging studies were performed on a 1.5 T scanner (Sempra, Siemens, Erlangen, Germany). The patient was placed in the prone position with both breasts placed adequately in a double breast coil (four-channel phased array coil), MRI sequences were: 1. Axial T1WI. 2. Axial T2WI. 3. Axial STIR. 4. DCE-MRI with post-processing subtraction images.
MRI acquisition protocol
MRI protocols include Axial T2-weighted fast spin echo sequence: TR = 3840 ms, TE = 81 ms, slice thickness = 3.5 mm, and matrix = 448 × 448.
Coronal T2-weighted fast spin echo sequence: TR = 3840 ms, TE = 81 ms, slice thickness = 3.5 mm, and matrix = 448 × 448.
Short tau inversion recovery – axial: TR = 8540 ms, TE = 59 ms, TI = 170 ms, slice thickness = 3.5 mm, and matrix = 320 × 314.4.
The standard dynamic protocol commenced with a coronal three-dimensional rapid field echo (thrive) sense non-enhanced T1-weighted sequence. A gadolinium-containing contrast was administered at a dose of 0.2 ml/kg by power injection at a speed of 2.0 ml/s and flushed with 20 ml of saline solution at the same rate. Dynamic imaging was then done in five consecutive series at 90-s intervals. Standard subtraction images were obtained by subtracting precontrast images from the early peak post-contrast image.
MRI analysis
The images were retrieved for all patients from the picture archiving and communication systems (PACS) and read by two breast radiologists (with > 10 and > 15 years of experience). Both radiologists were blinded to the pathological results. The images were analysed as follows: The largest diameter in the maximum cross section of an axial T1 Gd-enhanced MRI was used to quantify tumour size (by mm). We used a T2-weighted sequence and Gd-enhanced MRI to assess breast edema, which was defined as an area with high signal intensity on a T2-weighted sequence without enhancement to indicate breast edema.
Breast edema was classified into four categories based on the findings on T2-weighted and STIR sequences, as follows: (a) breast edema score (BES) 1, no edema; (b) BES 2, peritumoral edema; (c) BES 3, prepectoral edema; and (d) BES 4, subcutaneous edema (suspicious for occult IBC). On MRI, the axillary LN status was assessed; L.Ns with a round or irregular outline, cortical thickness greater than 3 mm, and lack of a fatty hilum were considered suspicious of metastasis. The axillary LN status was classified as positive (presence of at least one suspicious LN) or negative (no suspicious L.Ns). The cutoff value for the number of suspicious lymph nodes to assess axillary LN burden (pALN) was 3 L.Ns, i.e.: Metastatic axillary LNs < 3 in number are considered low axillary LN burden (pALN), while metastatic axillary LNs > 3 in number are considered high pALN. Also, some patients had an axillary nodal mass, so whether there was a nodal mass or not.
Surgical procedures
All preoperative metastatic examinations were performed on all patients treated in this study. The suitable procedure involves either modified radical mastectomy, breast conservative mastectomy, oncoplastic breast surgery and some patients with negative or low suspicious axillary LN metastasis by preoperative MRI undergo sentinel LN Biopsy.
Pathological analysis
Histologic grade, Ki-67 index, estrogen receptor (ER) status, progesterone receptor (PR) status, and human epidermal growth factor receptor 2 (HER2) status were all collected for study. We set the Ki-67 index cut-off at 20%. The biopsy samples were tested for ER, PR, and HER2 status using histopathological immunohistochemistry (IHC) in the pathology department, and fluorescence in situ hybridisation testing was required when the HER2 status was equivocal (2+). The molecular subtype was determined using the 2013 St. Gallen International Breast Cancer Conference classification.
Statistical analysis
Data were analysed using SPSS version 26 (Statistical Software package version 26). A descriptive analysis was performed. Quantitative data was represented as mean, standard deviation, median, and range. Qualitative data is reported as frequencies and percentages. Categorical data was analysed using the Chi-square test and Kruskal–Wallis test to compare groups with nonparametric independent variables. Graphs were produced using Excel or SPSS version 26. The p-value was considered significant if it was less than 0.05.
Results
The study was carried out on 60 patients presented with 169 masses. The mean ± SD for the patient's age was 46.3 ± 10.8 years old, 66 lesions (39.1%) were luminal A, 37 lesions (21.9%) were luminal B, 30 lesions (17.7%) were HER2 + , and 36 lesions (21.3%) were TN.
There was a highly significant difference between BES and molecular subtypes of breast cancer in studied masses as a p-value < 0.0001; Table 1.
There was a highly significant difference between BES in terms of molecular subtypes of breast cancer (p < 0.0001); Fig. 1, BES 2; was seen more frequently in the HER2 + subtype in 25 masses (83.3% of HER2 + masses); Fig. 2, while BES 4; was seen more in the TN subtype in 21 masses (58.3% of TN masses); Fig. 3, followed by the luminal B subtype (40.5% of LB masses), which was found to be the most predominant type of edema among luminal B masses. BES 1 is not found at all in both luminal B and TN subtypes, indicating that these two subtypes must have breast edema regardless of their score.
There was a significant difference between BES and the mass size in the masses studied as p-value = 0.045.
There was a significant difference between BES as regards tumour size; larger masses are noted to be associated with the highest score of breast edema (BES 4); Fig. 4. The mean size associated with BES 4 was 22.7 ± 18 mm, while the mean size associated with BES 1 was 10.9 ± 6.4 mm; Table 2. A larger tumour size was found in TNBC, therefore associated with the highest BES, Fig. 5 & smaller mass associated with BES 2, Fig. 6.
There was no significant difference between BES and histopathological grade in the masses studied as p value = 0.49; Table 3.
There was a highly significant difference between BES and Ki-67 in the masses studied with a p value < 0.0001.
There was a highly significant difference between BES with respect to Ki-67 expression (p < 0.0001); Table 4, about 43% of tumours with low ki-67 expression show BES 2. Collectively BES 1 and BES 2 represent about 55.7% of total masses with low Ki-67 expression. While 60.3% of total masses with high Ki-67 show higher scores of breast edema; BES 3 and BES 4, no masses with high Ki-67 show BES 1; Fig. 7.
Higher tumour grade and Ki67 index indicate a poor prognosis, and both were found to be the highest in TN breast cancer.
There was a highly significant difference between BES and lymph node status in the masses studied as p-value < 0.0001; Table 5.
BES 2 was found in 62.5% of masses with absent axillary LN metastasis. BES 4 was found more frequently in masses with bilateral axillary L.N metastases; Fig. 8.
There was a highly significant difference between BES and lymph node number in the masses studied as p-value < 0.0001.
Metastatic axillary LNs < 3 were found more frequently in masses with BES 2, i.e., low axillary LN burden. Metastatic axillary LNs > 3 were found to be associated with higher breast edema scores BES 3 and BES 4 (both together represent 68.4% of all masses associated with bilateral axillary L.N metastasis) i.e. high axillary LN burden; Table 6. The presence of nodal mass was more frequently associated with BES 4 (69.2%); Fig. 9.
Discussion
Breast edema is a prognostic factor for breast cancer and is attributed to lymphovascular invasion (LVI), lymph node metastases, and histological grade [6, 7].
Peritumoral edema detected on T2-weighted breast MRI has been considered one of the crucial indicators of invasive breast cancer prognosis [8, 9]. In addition, as a higher grade of breast edema, pre-pectoral and subcutaneous breast oedemas are related to extensive lymphovascular invasion and poorer prognosis in breast cancer patients [5, 10].
According to the results of the current study, there was a highly significant difference between the breast edema scores with respect to the molecular subtype of breast cancer; breast edema was absent in 10 lesions (BES 1), 60% of which were luminal A subtype, perilesional edema (BES 2) was more prevalent among HER2 lesions (83.3% of HER2 masses), skin and SC edema (BES 4) was seen more in the TN subtype in 21 lesions (58.3% of TN masses) and it was shown to be the most common edema score among luminal B masses (40.5%).
These findings were similar to the study conducted by Huang et al. [4], which showed that peritumoral edema was more prevalent in HER2-enriched breast cancer.
HER2 is a receptor tyrosine kinase that belongs to the epidermal growth factor receptor family [17]. HER2 expression is related to overexpression of vascular endothelial growth factor overexpression, which can promote angiogenesis and vascular permeability, and then to a subsequent increase in extracellular fluid [18, 19].
Since TNBC was frequently associated with BES 4, our findings were partially consistent with the findings of a previous study by Xu et al. [16], who concluded that moderate to severe edema (BES 3 and 4) was more likely associated with biologically invasive clinicopathological characteristics such as higher clinical T stage, higher Ki-67 index, HER2-positive and triple-negative subtypes, and positive lymphovascular invasion status.
Furthermore, greater grades of breast edema (prepectoral BES 3 and subcutaneous BES 4) are usually associated with significant lymphovascular infiltration and a worse prognosis in breast cancer patients [5].
The most common type of edema among luminal B masses in this study was subcutaneous edema BES 4 (40.5%), which was comparable with a recent study by Huang et al. [4], which determined that the presence of subcutaneous edema was more common in luminal B tumours (HER2 positive) tumours.
There was significant difference between BES with respect to tumour size in this study. Larger masses were found to be associated with the highest score of breast edema (BES 4). The mean size associated with BES 4 was 22.7 ± 18 mm, while smaller lesions were associated with only perilesional edema (BES 2) or no edema at all (BES 1); the mean size associated with BES1 was 10.9 ± 6.4 mm, which may explain the predominance of BES 4 between TNBC lesions in our study. These findings were comparable with the findings of previous research by Huang et al. [4], who determined that intramammary edema was more prevalent in masses bigger than 2 cm in diameter. Panzironi et al. [8] likewise showed that tumours with intramammary edema were larger than 2.5 cm in diameter. Baltzer et al. [12], supported these findings, indicating that the tumour volume was large enough to increase the peritumoral pressure, which increased the vascular permeability of the tumour, resulting in the release of more cytokines, which resulted in accumulation of fluid in the breast tissues. A larger tumour was also more likely to cause higher angiogenic and proteolytic activity, contributing to the presence of intramammary edema. Recent research found that reducing tumour volume with neoadjuvant treatment could ameliorate intramammary edema [11].
In this study, there was no significant difference between BES regarding the tumour's histopathological grade. This was inconsistent with a previous study conducted by Uematsu et al. [6], who found that cancers without breast edema (BES 1) are smaller, have a lower histologic grade, and have a lower tendency to lymph node metastasis.
There was a highly significant difference between BES in Ki-67 expressions (p < 0.0001), 43% of tumours with low ki-67 expression show BES 2. BES 1 and BES 2 represent 55.7% of total masses with low expression of Ki-67. However, 60.3% of tumours with high expression of Ki-67 show higher scores of breast edema, BES 3, and BES 4. BES 1 not seen in tumours with high expression of Ki-67. Ki-67 overexpression was found in TN breast cancer and indicates a poor prognosis.
TNBC distinguished by the absence of all three receptors (ER, PR, and HER2), and it is associated with more aggressive disease progression, a greater recurrence rate, a worse prognosis, and a shorter survival rate if compared to other subtypes [20]. TN breast cancer is a high proliferation subtype (increased Ki-67 expression) suggesting more aggressive activity, such as mitosis, angiogenesis, lymphatic, and vascular blockage, as previously documented [21].
Several authors also believed that SC edema was associated with poor drainage caused by lymphatic obstruction and was considered the final stage of intramammary edema [6, 22].
There was a highly significant difference between BES and LN status and number. BES 2 was found in 62.5% of tumours with absent axillary LN metastasis. BES 4 was found more frequently in masses with bilateral axillary LN metastasis. Metastatic axillary LN < 3 in number were found more frequently in BES 2, which have a low axillary LN burden.
An association was observed between prepectoral edema and axillary adenopathy. Pathophysiological explanations for prepectoral edema can be found in the structure of the lymphatic drainage system, revealing a probable relationship between prepectoral edema and lymphatic dissemination. The cause of lymphatic obstructions inside the breast, is blocked lymphatic channels that explain the development of prepectoral edema [23].
In breast cancer, the lymphatic system is the main route of regional metastases. The collection of peritumoral fluid is strongly related to the malfunctioning of lymphatic vessels, which are essential for controlling tumour development and metastasis [24].
In this study, Metastatic axillary L.N > 3 in number were found in higher breast edema scores BES 3 and BES 4 (both together represent 68.4% of all masses associated with bilateral axillary L.N metastasis), high axillary LN burden, which was proportional to the BES, this was consistent with previous studies conducted by Liang et al., Xu et al., Byon et al., and Moradi et al. [9, 11, 16, 25], who concluded that individuals with severe breast edema were more likely to have a high axillary L.N burden. In this study, nodal mass was associated more frequently with BES 4 (69.2%).
Limitations of this study were that it was a single institution retrospective study. Thus, results could not be generalised. A larger sample size and long-term outcome should be considered before the correlation between breast edema score and axillary L.N metastasis and before relying on BES to predict molecular subtypes of breast cancer.
Conclusions
Tumour-related breast edema MRI characteristics may be useful in distinguishing molecular subtypes of breast cancer and could be used as a promising feature to improve the predictive performance of pathological axillary lymph nodes in patients with breast cancer, contributing to preoperative treatment planning and prognostic outcome.
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available for maintaining the anonymity but are available from the corresponding author on reasonable request.
Abbreviations
- BES:
-
Breast Edema Score
- BC:
-
Breast cancer
- DCE-MRI:
-
Dynamic contrast-enhanced magnetic resonance imaging
- ER:
-
Estrogen receptor
- HER 2:
-
Herceptin 2
- IBC:
-
Inflammatory breast carcinoma
- IHC:
-
Immunohistochemistry
- LN:
-
Lymph node
- LVI:
-
Lymphovascular invasion
- MRI:
-
Magnetic resonance imaging
- pALN:
-
Axillary LN burden
- PR:
-
Progesterone receptor
- STIR:
-
Short tau inversion recovery
- THRIVE:
-
T1 high-resolution isotropic volumetric examination
- TN:
-
Triple negative
- T2 WI:
-
T2-weighted image
References
Polyak K (2011) Review series introduction Heterogeneity in breast cancer. J Clin Invest 121(10):2011–2013. https://doi.org/10.1172/JCI60534.3786
Malhotra GK, Zhao X, Band H, Band V (2010) Histological, molecular and functional subtypes of breast cancers. Cancer Biol Ther 10(10):955–960. https://doi.org/10.4161/cbt.10.10.13879
Sung H (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249. https://doi.org/10.3322/caac.21660
Huang Z (2022) Intramammary edema of invasive breast cancers on MRI T 2 -weighted fat suppression sequence: correlation with molecular subtypes and clinical-pathologic prognostic factors. Clin Imaging 83:87–92. https://doi.org/10.1016/j.clinimag.2021.12.023
Harada TL (2021) Evaluation of breast edema findings at T2-weighted breast MRI is useful for diagnosing occult inflammatory breast cancer and can predict prognosis after neoadjuvant chemotherapy. Radiology 299(1):53–62. https://doi.org/10.1148/RADIOL.2021202604
Uematsu T, Kasami M, Watanabe J (2014) Is evaluation of the presence of prepectoral edema on T2-weighted with fat-suppression 3 T breast MRI a simple and readily available noninvasive technique for estimation of prognosis in patients with breast cancer? Breast Cancer 21(6):684–692. https://doi.org/10.1007/s12282-013-0440-z
Cheon H (2018) Invasive breast cancer: prognostic value of peritumoral edema identified at preoperative MR imaging. Radiology 287(1):68–75. https://doi.org/10.1148/radiol.2017171157
Panzironi G, Moffa G, Galati G, Marzocca F, Rizzo V, Pediconi F (2020) Peritumoral edema as a biomarker of the aggressiveness of breast cancer: results of a retrospective study on a 3 T scanner. Breast Cancer Res Treat 181(1):53–60. https://doi.org/10.1007/s10549-020-05592-8
Byon JH (2021) Added value of MRI for invasive breast cancer including the entire axilla for evaluation of high-level or advanced axillary lymph node metastasis in the post-ACOSOG Z0011 trial era. Radiology 300(1):46–54. https://doi.org/10.1148/radiol.2021202683
Uematsu T (2015) Focal breast edema associated with malignancy on T2-weighted images of breast MRI: peritumoral edema, prepectoral edema, and subcutaneous edema. Breast Cancer 22(1):66–70. https://doi.org/10.1007/s12282-014-0572-9
Liang T, Hu B, Du H, Zhang Y (2020) Predictive value of T2-weighted magnetic resonance imaging for the prognosis of patients with mass-type breast cancer with peritumoral edema. Oncol Lett 20(6):1–1. https://doi.org/10.3892/OL.2020.12177
Baltzer PTA (2010) Sensitivity and specificity of unilateral edema on T2w-TSE sequences in MR-mammography considering 974 histologically verified lesions. Breast J 16(3):233–239. https://doi.org/10.1111/j.1524-4741.2010.00915.x
Kettunen T (2020) Peritumoral ADC values in breast cancer: region of interest selection, associations with hyaluronan intensity, and prognostic significance. Eur Radiol 30(1):38–46. https://doi.org/10.1007/s00330-019-06361-y
Koyama H (2008) Significance of tumor-associated stroma in promotion of intratumoral lymphangiogenesis: pivotal role of a hyaluronan-rich tumor microenvironment. Am J Pathol 172(1):179–193. https://doi.org/10.2353/ajpath.2008.070360
Park NJY (2021) Peritumoral edema in breast cancer at preoperative MRI: an interpretative study with histopathological review toward understanding tumor microenvironment. Sci Rep 11(1):12992. https://doi.org/10.1038/s41598-021-92283-z
Xu Z (2022) MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study. Eur Radiol. https://doi.org/10.1007/s00330-022-08896-z
Mendelsohn J, Baselga J (2006) Epidermal growth factor receptor targeting in cancer. Semin Oncol. https://doi.org/10.1053/j.seminoncol.2006.04.003
Karan B, Pourbagher A, Torun N (2016) Diffusion-weighted imaging and 18F-fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors. J Magn Reson Imaging 43(6):1434–1444. https://doi.org/10.1002/jmri.25112
Park SH, Choi HY, Hahn SY (2015) Correlations between apparent diffusion coefficient values of invasive ductal carcinoma and pathologic factors on diffusion-weighted MRI at 3.0 Tesla. J Magn Reson Imaging 41(1):175–182. https://doi.org/10.1002/jmri.24519
Dent R (2007) Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res 13(15):4429–4434. https://doi.org/10.1158/1078-0432.CCR-06-3045
Whitman GJ, Albarracin CT, Gonzalez-Angulo AM (2011) Triple-negative breast cancer: what the radiologist needs to know. Semin Roentgenol. https://doi.org/10.1053/j.ro.2010.09.004
Uematsu T (2012) MRI findings of inflammatory breast cancer, locally advanced breast cancer, and acute mastitis: T2-weighted images can increase the specificity of inflammatory breast cancer. Breast Cancer 19(4):289–294. https://doi.org/10.1007/s12282-012-0346-1
Sutton EJ (2016) Breast cancer molecular subtype classifier that incorporates MRI features. J Magn Reson Imaging 44(1):122–129. https://doi.org/10.1002/jmri.25119
Kataru RP (2019) Tumor lymphatic function regulates tumor inflammatory and immunosuppressive microenvironments. Cancer Immunol Res 7(8):1345–1358. https://doi.org/10.1158/2326-6066.CIR-18-0337
Moradi B, Gity M, Etesam F, Borhani A, Ahmadinejad N, Kazemi MA (2020) Correlation of apparent diffusion coefficient values and peritumoral edema with pathologic biomarkers in patients with breast cancer. Clin Imaging. https://doi.org/10.1016/j.clinimag.2020.08.020
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Abdelbary, E.A.M., Ibrahim, A.R., Rezk, K.M. et al. Breast edema score at breast MRI: its value in prediction of molecular subtype of breast cancer and its impact on axillary LN metastasis. Egypt J Radiol Nucl Med 55, 76 (2024). https://doi.org/10.1186/s43055-024-01243-w
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DOI: https://doi.org/10.1186/s43055-024-01243-w