Open Access

Predictive value of T2‑weighted magnetic resonance imaging for the prognosis of patients with mass‑type breast cancer with peritumoral edema

  • Authors:
    • Ting Liang
    • Bin Hu
    • Hongwen Du
    • Yili Zhang
  • View Affiliations

  • Published online on: October 1, 2020     https://doi.org/10.3892/ol.2020.12177
  • Article Number: 314
  • Copyright: © Liang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

The aim of the present study was to investigate the role of edema surrounding breast cancer masses in the prognostic prediction of magnetic resonance imaging (MRI) T2‑weighted fat suppression sequence. For this purpose, 80 patients with mass‑type breast cancer underwent conventional plain breast MRI, dynamic contrast‑enhanced (DCE)‑MRI or diffusion‑weighted MRI scan. The associations between edema around the mass on MRI T2 fat suppression sequence plain scan and tumor stage, pathological findings, immunohistochemical findings and axillary lymph node metastasis were analyzed. The results revealed the presence of edema around the mass on the MRI T2 fat suppression sequence plain scan in 35 patients. By contrast, there was no abnormal enhancement on the DCE‑MRI, and the apparent diffusion coefficient value did not decrease in these areas. Compared with the remaining 45 patients, the 35 patients with peritumoral edema exhibited a higher tumor stage and a higher rate of axillary lymph node metastasis (all P<0.05). However, there was no significant difference in pathological classification or the expression of estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 (as determined by immunohistochemistry) between the two groups. In total, 12 cases of tumor shrinkage during neoadjuvant chemotherapy were accompanied by an improvement in edema. Taken together, the findings of the present study indicated that the presence of edema around the mass on the MRI T2 fat suppression sequence may predict poor prognosis in patients with mass‑type breast cancer. Furthermore, the improvement of the peritumoral edema post‑neoadjuvant chemotherapy may also be a predictor of a more favorable prognosis.

Introduction

Breast magnetic resonance imaging (MRI) is widely used in clinical practice. The methods of MRI examination include the conventional plain scan, the dynamic contrast-enhanced (DCE) scan and the diffusion-weighted imaging (DWI) scan. DCE-MRI plays an important role in the diagnosis of breast lesions, with a reported sensitivity of 95–99% in detecting invasive cancer and 80% in detecting ductal carcinoma in situ, whereas its mean reported specificity is 80% (range, 37–97%) (15). Moreover, the curve of the DCE scan may indicate the enhancement type of the lesions. DWI is a functional MRI technique that characterizes tissues by their water diffusion properties. DWI and the apparent diffusion coefficient (ADC) value have been used successfully in the differential diagnosis between malignant and benign breast diseases, and to determine tumor extension. It has been reported that the combination of DCE-MRI with DWI has a sensitivity of 95.7% and a specificity of 89.2%; therefore, radiologists mainly base their diagnosis on the combination of these two techniques (6).

As regards plain scans, the signal of the lesions is relatively similar to that of normal tissue in the conventional T1 sequence and the T2 fat suppression sequence; therefore, some lesions may be easily overlooked without DCE-MRI as radiologists may not examine the plain scan more closely. On this note, recent studies have suggested that T2-weighted images are a valuable component of the MRI evaluation of edema (7,8). It has been reported that peritumoral edema is a common imaging manifestation of advanced or inflammatory breast cancer. The cause of edema is associated with the poor drainage caused by lymphatic obstruction. For dense breasts, it is often difficult to distinguish edema from tumor lesions on mammography. However, the sequence of the plain scan and enhanced scan may help distinguish between tumors and edema.

The aim of the present study was to compare the prognostic value of the MRI T2 fat suppression sequence with that of the DCE-MRI and DWI scan in patients with mass-type breast cancer exhibiting peritumoral edema. The associations between the presence of edema and tumor stage, pathological classification, immunohistochemical findings and axillary lymph node metastasis were further investigated in order to determine the clinical prognostic value of the MRI T2 fat suppression sequence in breast cancer. In addition, the association between the improvement of edema and tumor shrinkage in patients who underwent neoadjuvant chemotherapy (NAC) was also investigated.

Materials and methods

Patients

A total of 80 patients (age range, 24–77 years; mean age ± standard deviation, 45.1±11.1 years) with histologically proven breast cancer who had undergone an MRI examination for tumor staging and detection of axillary lymph node involvement between September 2017 and December 2018 were included in the present study. The study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Xi'an Jiao Tong University (no.: XJTU1AF2017LSK-72), and all patients provided written informed consent prior to their inclusion in the study. The MRI examination was performed in the second week of the menstrual cycle in premenopausal women. No breast implants were found in any of the patients. Histopathological diagnosis was performed following surgical resection in 27 cases and puncture biopsy in 53 cases.

Immunohistochemical staining

Breast tumor tissues were fixed in formalin (10%, 24 h, room temperature) embedded in paraffin and cut into 5-µm sections. The sections were deparaffinized and immersed in citrate buffer (pH 6.0) for 5 min to retrieve antigen, followed by 0.3% hydrogen peroxide for 15 min to block endogenous peroxidase activity. The sections were then blocked for 30 min using 10% goat plasma (Invitrogen; Thermo Fisher Scientific, Inc.). Following incubation with primary antibodies directed against estrogen receptor (ER; ab32063; 1:1,000), progesterone receptor (PR; ab16661; 1:400) or human epidermal growth factor receptor 2 (HER2; ab214275; 1:4,000) for 1 h at 37°C, the slides were incubated with an HRP-conjugated goat anti-rabbit secondary antibody (ab205718; 1:2,000) according to the manufacturer's recommendations. All primary and secondary antibodies were purchased from Abcam. Finally, the sections were visualized with diaminobenzidine and counterstained with hematoxylin for 5 min at room temperature, then dehydrated in alcohol and xylene and mounted onto glass slides. The numbers of ER-, PR- or HER2-positive cells were counted from at least 10 randomly selected fields of each sample (NIKON ECLIPSE T1-S; Nikon Corporation) at a magnification of ×400. The tissue samples were classified as positive for ER and PR when the proportion of positively stained tumor cells was >1% (9). For HER2, the tumor was considered positive if >10% of the tumor cells exhibited positively stained nuclei (10).

MRI protocol

MRI examinations were performed on a 3.0 T MR device (Discovery 750w, Cytiva) using a four-channel breast coil. The protocol consisted of the following: Transverse T2 FSE-IDEAL ASSET sequence [TR/TE=6020/80.7 msec, field of view (FOV)=320×320 mm (AP × RL), matrix 256×256, 4-mm slice thickness and 1-mm gap]; transverse T1-weighted TSE [TR/TE=867/5.7 msec, FOV=320×320 mm (AP × RL), matrix 256×256, 4-mm slice thickness and 1-mm gap]; 3D dynamic, CE T1-weighted vibrant sequences [TR/TE=7.6/4.3 msec, FOV=320×320 mm (AP × RL), matrix 125×125, 5-mm slice thickness without gaps, 6 dynamic acquisitions, a dynamic data acquisition time of 1 min and 30 sec, and a total sequence duration of 9 min]; gadobenate dimeglumine (MultiHance®), which is considered as the most accurate contrast medium used in this field, was intravenously injected at a dose of 0.1 mmol/kg body weight and flow rate of 2 ml/sec followed by 10 ml of saline solution, as previously reported (11); EPI-DWI sequences were acquired in the transversal orientation using the following parameters: TR/TE=4,000/69.6 msec, FOV=320×320 mm (AP × RL), matrix 128×140, 4-mm slice thickness with 1-mm gap.

Image analysis

All MRI data were transferred to and analyzed on a diagnostic workstation equipped with dedicated software for MRI examination (Advantage Workstation 4.6; Cytiva). Two radiologists with 5 years of experience in the field of breast MRI who were blinded to the clinical findings and pathological diagnosis reviewed all the MRI films. In addition to the size, shape, signal, enhancement curve and ADC value of the mass, the presence of edema around the tumor mass, skin thickening and increase of subcutaneous fibrous connective tissue on the MRI T2 fat suppression sequence were more closely observed. Moreover, the presence of abnormal enhancement on dynamic enhanced scanning and increased signal intensity on DWI on these areas were also determined.

Statistical analysis

The χ2 test or Fisher's exact test were used to analyze the association between the MRI T2 fat suppression sequence findings around the mass and tumor stage, pathological classification, luminal classification and axillary lymph node metastasis. All calculations were performed using SPSS software, version 25.0 (IBM Corp.).

Results

Imaging characteristics

In the present study, according to the Breast Imaging Reporting and Data System Magnetic Resonance Imaging (BI-RADS-MRI) by the American College of Radiology, 80 patients were classified as type a, b, c and d (n=10, n=31, n=25 and n=14, respectively) on the basis of breast composition, and as type a, b, c and d (n=22, n=34, n=16 and n=8, respectively) on the basis of background parenchymal enhancement. On the DCE-MRI, 3 patients exhibited a type I curve, while 66 exhibited the type II and 11 the type III curve. The ADC value of 16 cases was >1.2×10−3 mm2/sec and that of 64 cases was <1.2×10−3 mm2/sec. In total, 27 cases were diagnosed with BI-RADS V categories and 53 cases were diagnosed with BI-RADS VI categories.

Presence of edema

Of the 80 patients, 35 exhibited edema (Fig. 1) around the mass on the MRI T2 fat suppression sequence (group I) and the remaining 45 cases did not exhibit edema (group II). Furthermore, in group I, 26 cases exhibited skin thickening and increased subcutaneous fibrous connective tissue (Fig. 2) and 7 cases exhibited nipple retraction on the MRI T2 fat suppression sequence. Compared with the edema observed on the plain scan, there was no abnormal enhancement on the DCE and no abnormal signal on the DWI in the edema area. A total of 12 patients in group I and 3 patients in group II eventually received NAC. In the 12 cases in group 1, following chemotherapy, the size of the tumors was smaller compared with that prior to treatment, and the edema shadows around the mass, thickened skin, as well as the increased subcutaneous fibrous connective tissue on the MRI T2 fat suppression sequences also improved (Fig. 3).

Pathological classification

Pathological results were obtained by needle puncture or surgical biopsy in all 80 patients. In group I, 25 cases were non-specific invasive carcinoma and the remaining 10 cases were non-specific invasive carcinoma with high-grade ductal carcinoma. In group II, 30 cases were non-specific invasive carcinoma, 11 cases were non-specific invasive carcinoma with high-grade ductal carcinoma, 3 cases were ductal carcinoma in situ and 1 case was medullary carcinoma. There was no significant difference in pathological classification between the two groups (P>0.05).

Association between imaging findings and stage

According to the TNM staging criteria of breast cancer, the tumors were classified as stage I, II, III and IV. The associations between the MRI T2 fat suppression sequence imaging findings around the mass and tumor stage are presented in Table I. Compared with group II, the patients in group I exhibited a significantly higher tumor stage (P<0.05).

Table I.

Correlation between the findings of magnetic resonance imaging T2 fat suppression sequence around the mass and tumor stage.

Table I.

Correlation between the findings of magnetic resonance imaging T2 fat suppression sequence around the mass and tumor stage.

Tumor stage

GroupsIIIIIIIVP-value
Ia332540.000
IIb9333

a Presence of peritumoral edema.

b Absence of peritumoral edema.

Association between imaging findings and hormone receptor status

According to the expression of ER, PR and HER2 on immunohistochemistry (Fig. 4), the tumors were categorized as luminal A, luminal B, HER2+ and triple-negative. The associations between the MRI T2 fat suppression sequence imaging findings around the mass and luminal type are presented in Table II. There was no significant difference in the expression of ER, PR or HER2, as determined by immunohistochemistry, between the two groups (P>0.05).

Table II.

Correlation between the findings of magnetic resonance imaging T2 fat suppression sequence around the mass and luminal type.

Table II.

Correlation between the findings of magnetic resonance imaging T2 fat suppression sequence around the mass and luminal type.

Luminal type

GroupsLuminal ALuminal BHER2+Triple-negativeP-value
Ia5136110.203
IIb52767

a Presence of peritumoral edema.

b Absence of peritumoral edema. HER2, human epidermal growth factor receptor 2.

Association between imaging findings and axillary lymph node metastasis

All 80 patients underwent axillary lymph node biopsy or surgery. The associations between the MRI T2 fat suppression sequence imaging findings around the mass and axillary lymph node metastasis are presented in Table III. Compared with group II, the patients in group I exhibited a higher rate of axillary lymph node metastasis (P<0.05).

Table III.

Correlation between the findings of magnetic resonance imaging T2 fat suppression sequence around the mass and axillary lymph node metastasis.

Table III.

Correlation between the findings of magnetic resonance imaging T2 fat suppression sequence around the mass and axillary lymph node metastasis.

Axillary lymph node metastasis

GroupsMetastasisNo metastasisP-value
Ia17180.043
IIb1233

a Presence of peritumoral edema.

b Absence of peritumoral edema.

Discussion

MRI is the most sensitive method for the detection of breast diseases. The DCE-MRI and DWI techniques are hotspots in current research and the main focus is the study of the tumor per se. By contrast, for regular base sequences, the research on the T1 plain scan and T2 fat suppression sequence has been less extensive. In particular, in recent years, studies have demonstrated that there is no significant difference between fast magnetic resonance scanning and conventional scanning in the diagnosis of lesions; the only exception is that the time required for the former is markedly shorter (1214). Thus, the conventional T2 fat suppression sequence was deleted from the fast magnetic resonance sequence. The present study aimed to determine whether the T2 fat suppression sequence can provide other information that may be valuable for the diagnosis of breast cancer.

The clinical and imaging data of 80 cases of mass-type breast cancer were collected for the present study. In 35 of those cases, grid or patchy blurred high signal shadows were identified around the mass on the T2-weighted fat suppression sequence, whereas there was no grid or patchy blurred high signal shadows around the mass in the other 45 cases. However, no abnormal enhancement or diffusion was found in these areas on DCE-MRI or DWI.

A previous study indicated that the aforementioned abnormal signal on the T2-weighted with fat suppression sequence was edema (15). Mammary edema refers to the swelling caused by the accumulation of fluid in the tissues of the breast. The underlying causes are usually malignant, including advanced breast cancer, inflammatory breast cancer, lymphatic inflammatory metastasis and lymphoma. Pathologically, edema caused by malignant lesions may be observed as lymphatic obstruction and/or capillary and venule obstruction (1618). Previous studies demonstrated that peritumoral edema is likely to occur due to tumor angiogenesis, which is one of the hallmarks of cancer, and leads to increased vascular permeability and the release of peritumoral cytokines (19,20).

On imaging, edema is characterized by increased density on mammography or signal intensity on the T2-weighted with fat suppression sequence, enlargement of fibrous trabeculae, thickening of Cooper's ligament and cutaneous edema. In contrast to T1-weighted sequences, which highlight anatomic detail and are used on the enhanced scan, fluid-sensitive T2-weighted sequences depict edema, hemorrhage, mucus, or cystic fluid (8). Therefore, T2-weighted images are a valuable component of the MRI evaluation of edema (15,21).

Previous studies have demonstrated that the prognosis of breast cancer is closely associated with tumor state, luminal type and axillary lymph node metastasis (22,23). It was previously demonstrated that the prognosis of patients with luminal A type breast cancer was the superior to that of patients with luminal B type breast cancer, whereas patients with HER2-positive and triple-negative breast cancer had the worst prognosis (24). Further research found that patients with HER2-positive and luminal B breast cancer were more prone to developing multiple lesions and axillary lymph node metastasis, while the distant metastasis rate of patients with triple-negative breast cancer was significantly higher compared with that of patients with luminal A, luminal B and HER2-positive breast cancer (25,26).

In the present study, the association of peritumoral edema with clinical stage, pathological classification and axillary lymph node metastasis was analyzed. The results revealed that the 35 patients with peritumoral edema had a more advanced clinical stage and higher rate of axillary lymph node metastasis compared with the remaining 45 patients; however, there was no significant difference in pathological classification or the expression of ER, PR and HER2, as determined by immunohistochemistry, between the two groups. In addition, of the 35 cases with edema, 26 exhibited skin thickening and increase of subcutaneous fibrous connective tissue, and 7 exhibited nipple retraction.

It has been reported that the presence of peritumoral edema may be a strong prognostic indicator for lymphatic spread and the cancerous infiltration of lymph nodes (27,28). Cheon et al demonstrated that the presence of peritumoral edema was associated with the characteristics of biologically aggressive tumors (29) and Uematsu et al demonstrated that peritumoral edema was associated with prognostic factors (30). The results of the present study confirmed these previous conclusions, indicating the prognostic value of peritumoral edema in breast cancer. More importantly, in the present study, the shrinkage of the tumors in patients receiving NAC was accompanied by the improvement of the edema around the mass and the skin thickening, as well as a decrease of the subcutaneous fibrous connective tissue on the MRI T2 fat suppression sequences. To the best of our knowledge, few studies to date have investigated the imaging changes associated with the presence of edema around the mass following NAC. Based on these findings, less or no edema post-NAC may be used as a predictive indicator of a better prognosis.

In conclusion, the pathological basis of edema around the breast cancer mass is the infiltration of lymphatic vessels by tumor tissue, and the results of the present study demonstrated that the MRI T2 may clearly demonstrate the signs of peritumoral edema. The results further confirmed that the occurrence of edema was closely associated with a higher tumor stage and axillary lymph node metastasis. Moreover, it was observed that, with the reduction of the tumor volume following NAC, edema also improved. Therefore, the presence of peritumoral edema in the MRI T2 may be used as a valuable imaging index for evaluating the prognosis and treatment efficacy for patients with breast cancer.

However, the present study had several limitations. First, the number of cases in the study was insufficient and, therefore, the association among the three parameters (tumor stage, luminal type and axillary lymph node metastasis) was not analyzed. Second, a proportion of the patients in the present study underwent MRI following core-needle biopsy, and the peritumoral signals may have thus been affected by the post-procedural changes. Third, this study lacked further follow-up.

In conclusion, the T2-weighted images are irreplaceable for evaluating edema, skin thickening and the increase in subcutaneous fibrous connective tissue. Peritumoral edema in the MRI T2 fat suppression sequence may predict a poor prognosis in patients with mass-type breast cancer, whereas the improvement of peritumoral edema post-NAC may predict a more favorable prognosis.

Acknowledgements

Not applicable.

Funding

The present study was supported by grants from the Shaanxi Research and Development Program (grant no. 2017SF-020) and the Institutional Foundation of the First Affiliated Hospital of Xi'an Jiaotong University (grant no. 2016MS-05).

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Authors' contributions

TL analyzed and interpreted the experimental data and contributed to the writing of the manuscript. BH performed the immunohistochemical staining of the breast tumors. HD designed the experiments and reviewed and revised the manuscript. YZ designed the experiments and is the major contributor to writing the manuscript. All the authors have read and approved the final manuscript.

Ethics approval and consent to participate

The study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Xi'an Jiao Tong University (no.: XJTU1AF2017LSK-72), and all patients provided written informed consent prior to their inclusion in the study.

Patient consent for publication

Not applicable.

Competing interests

All the authors declare that they have no competing interests.

References

1 

Kuhl CK: MRI of breast tumors. Eur Radiol. 10:46–58. 2000. View Article : Google Scholar : PubMed/NCBI

2 

Huang W, Fisher PR, Dulaimy K, Tudoria LA, O'Hea B and Button TM: Detection of breast malignancy: Diagnostic MR protocol for improved specificity. Radiology. 232:585–591. 2004. View Article : Google Scholar : PubMed/NCBI

3 

Belli P, Costantini M, Bufi E, Magistrelli A, La Torre G and Bonomo L: Diffusion-weighted imaging in breast lesion evaluation. Radiol Med. 115:51–69. 2010.(In English and Italian). View Article : Google Scholar : PubMed/NCBI

4 

Peter NH, Rinkes IH, Zuithoff NP, Mali WP, Moons KG and Peeters PH: Meta-Analysis of MR imaging in the diagnosis of breast lesions. Radiology. 246:116–124. 2008. View Article : Google Scholar : PubMed/NCBI

5 

Moschetta M, Telegrafo M, Rella L, Capolongo A, Ianora AA and Angelelli G: MR evaluation of breast lesions obtained by diffusion-weighted imaging with background body signal suppression(DWIBS) and correlations with histological findings. Magn Reson Imaging. 32:605–609. 2014. View Article : Google Scholar : PubMed/NCBI

6 

Kul S, Cansu A, Alhan E, Dinc H, Gunes G and Reis A: Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors. AJR AM J Roentgenol. 196:210–217. 2011. View Article : Google Scholar : PubMed/NCBI

7 

Guo Y, Tang WJ, Kong QC, Liang YY, Han XR, Zheng BJ, Sun L, Wei XH, Jin Z and Liu CL: Can whole-tumor apparent diffusion coefficient histogram analysis be helpful to evaluate breast phyllode tumor grades? Eur J Radiol. 114:25–31. 2019. View Article : Google Scholar : PubMed/NCBI

8 

Westra C, Dialani V, Mehta TS and Eisenberg RL: Using T2-weighted sequences to more accurately characterize breast masses seen on MRI. AJR Am J Roentgenol. 202:W183–W190. 2014. View Article : Google Scholar : PubMed/NCBI

9 

Hammond ME, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, Fitzgibbons PL, Francis G, Goldstein NS, Hayes M, et al: American society of clinical oncology/college of American pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol. 28:2784–2795. 2010. View Article : Google Scholar : PubMed/NCBI

10 

Wolff AC, Hammond ME, Schwartz JN, Hagerty KL, Allred DC, Cote RJ, Dowsett M, Fitzgibbons PL, Hanna WM, Langer A, et al: American Society of clinical oncology/college of American pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer. Arch Pathol Lab Med. 131:18–43. 2007.PubMed/NCBI

11 

Martincich L, Faivre-Pierret M, Zechmann CM, Corcione S, van den Bosch HC, Peng WJ, Petrillo A, Siegmann KC, Heverhagen JT, Panizza P, et al: Multicenter, double-blind, randomized, intraindividual crossover comparison of gadobenate dimeglumine and gadopentetate dimeglumine for Breast MR imaging (DETECT Trial). Radiology. 258:396–408. 2011. View Article : Google Scholar : PubMed/NCBI

12 

Jain M, Jain A, Hyzy MD and Werth G: FAST MRI breast screening revisited. J Med Imaging Radiat Oncol. 61:24–28. 2017. View Article : Google Scholar : PubMed/NCBI

13 

Mango VL, Morris EA, Dershaw DD, Abramson A, Fry C, Moskowitz CS, Hughes M, Kaplan J and Jochelson MS: Abbreviated protocol for breast MRI: Are multiple sequences needed for cancer detection? Eur J Radiol. 84:65–70. 2015. View Article : Google Scholar : PubMed/NCBI

14 

Heacock L, Melsaether AN, Heller SL, Gao Y, Pysarenko KM, Babb JS, Kim SG and Moy L: Evaluation of a known breast cancer using an abbreviated breast MRI protocol: Correlation of imaging characteristics and pathology with lesion detection and conspicuity. Eur J Radiol. 85:815–823. 2016. View Article : Google Scholar : PubMed/NCBI

15 

Uematsu T: Focal breast edema associated with malignancy on T2-weighted images of breast MRI: Peritumoral edema, prepectoral edema, and subcutaneous edema. Breast Cancer. 22:66–70. 2015. View Article : Google Scholar : PubMed/NCBI

16 

Kwak JY, Kim EK, Chung SY, You JK, Oh KK, Lee YH, Kwon TH and Jung HK: Unilateral breast edema: Spectrum of etiologies and imaging appearances. Yonsei Med J. 46:1–7. 2005. View Article : Google Scholar : PubMed/NCBI

17 

Tekbas G, Oguzkurt L, Gurel K, Ozkan U, Gur S and Onder H: Is unilateral breast enlargement always a sign of cancer? Hemodial Int. 15:553–538. 2011. View Article : Google Scholar : PubMed/NCBI

18 

Bakırköy Tıp Dergisi: Radiologic findings of breast edema and causes of unilateral edema. Med J Bakirköy. 1:1–6. 2006.

19 

Baltzer PA, Yang F, Dietzel M, Herzog A, Simon A, Vag T, Gajda M, Camara O and Kaiser WA: Sensitivity and specificity of unilateral edema on T2w-TSE sequences in MR-mammography considering 974 histologically verified lesions. Breast J. 16:233–239. 2010. View Article : Google Scholar : PubMed/NCBI

20 

Cheon H, Kim HJ, Kim TH, Ryeom HK, Lee J, Kim GC, Yuk JS and Kim WH: Invasive breast cancer: Prognostic value of peritumoral edema identified at preoperative MR imaging. Radiology. 287:68–75. 2018. View Article : Google Scholar : PubMed/NCBI

21 

Kuhl CK, Klaschik S, Mielcarek P, Gieseke J, Wardelmann E and Schild HH: Do T2 weighted pulse sequences help with the differential diagnosis of enhancing lesions in dynamic breast MRI? J Magn Reson Imaging. 9:187–196. 1999. View Article : Google Scholar : PubMed/NCBI

22 

Simon SD, Bines J, Werutsky G, Nunes JS, Pacheco FC, Segalla JG, Gomes AJ, Van Eyll MH, Gimenes DL, Crocamo S, et al: Characteristics and prognosis of stage I–III breast cancer subtypes in Brazil: The AMAZONA retrospective cohort study. Breast. 44:113–119. 2019. View Article : Google Scholar : PubMed/NCBI

23 

Hashmi AA, Aijaz S, Khan SM, Mahboob R, Irfan M, Zafar NI, Nisar M, Siddiqui M, Edhi MM, Faridi N and Khan A: Prognostic parameters of luminal A and luminal B intrinsic breast cancer subtypes of Pakistani patients. World J Surg Oncol. 16:12018. View Article : Google Scholar : PubMed/NCBI

24 

Kast K, Link T, Friedrich K, Petzold A, Niedostatek A, Schoffer O, Werner C, Klug SJ, Werner A, Gatzweiler A, et al: Impact of breast cancer subtypes and patterns of metastasis on outcome. Breast Cancer Res Treat. 150:621–629. 2015. View Article : Google Scholar : PubMed/NCBI

25 

Wu SY, Tan Y and Guan YS: Clinical features and prognosis of patients with first-episode liver metastasis of different molecular subtypes of breast cancer. Zhonghua Gan Zang Bing Za Zhi. 24:422–428. 2016.(In Chinese). PubMed/NCBI

26 

O'Conor CJ, Chen T, González I, Cao D and Peng Y: Cancer stem cells in triple-negative breast cancer: A potential target and prognostic marker. Biomark Med. 12:813–820. 2018. View Article : Google Scholar : PubMed/NCBI

27 

Kaiser CG, Herold M, Krammer J, Baltzer P, Gajda M, Camara O, Schoenberg S, Kaiser WA and Dietzel M: Prognostic value of ‘Prepectoral Edema’ in MR-mammography. Anticancer Res. 37:1989–1995. 2017. View Article : Google Scholar : PubMed/NCBI

28 

Baltzer PA, Dietzel M, Gajda, Camara O and Kaiser WA: A systematic comparison of two pulse sequences for edema assessment in MR-mammography. Eur J Radiol. 81:1500–1503. 2012. View Article : Google Scholar : PubMed/NCBI

29 

Cheon H, Kim HJ, Lee SM, Cho SH, Shin KM, Kim GC, Park JY and Kim WH: Preoperative MRI features associated with lymphovascular invasion in node-negative invasive breast cancer: A propensity-matched analysis. J Magn Reson Imaging. 46:1037–1044. 2017. View Article : Google Scholar : PubMed/NCBI

30 

Uematsu T, Kasami M and Watanabe J: 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. 21:684–692. 2014. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

December-2020
Volume 20 Issue 6

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Liang T, Hu B, Du H and Zhang Y: Predictive value of T2‑weighted magnetic resonance imaging for the prognosis of patients with mass‑type breast cancer with peritumoral edema. Oncol Lett 20: 314, 2020.
APA
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. Oncology Letters, 20, 314. https://doi.org/10.3892/ol.2020.12177
MLA
Liang, T., Hu, B., Du, H., Zhang, Y."Predictive value of T2‑weighted magnetic resonance imaging for the prognosis of patients with mass‑type breast cancer with peritumoral edema". Oncology Letters 20.6 (2020): 314.
Chicago
Liang, T., Hu, B., Du, H., Zhang, Y."Predictive value of T2‑weighted magnetic resonance imaging for the prognosis of patients with mass‑type breast cancer with peritumoral edema". Oncology Letters 20, no. 6 (2020): 314. https://doi.org/10.3892/ol.2020.12177