Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer

  • Authors:
    • Juan Huang
    • Jianqun Yu
    • Yulan Peng
  • View Affiliations

  • Published online on: April 7, 2016     https://doi.org/10.3892/ol.2016.4422
  • Pages: 3522-3526
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

The present study aimed to investigate the dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) and World Health Organization (WHO) histopathological grade in patients with invasive ductal breast cancer. A retrospective analysis on the results of DCE-MRI of 92 patients, who were diagnosed with invasive ductal breast cancer following surgery or biopsy, and these results were correlated with WHO histopathological grade. The statistical analysis demonstrated that the tumor size, shape and characteristics of early enhancement were associated with the WHO histopathological grade: The larger the lesion's long diameter, the higher the WHO histopathological grade; the WHO histopathological grades of round and oval masses were relatively lower, while those of lobulated and irregular masses were higher; and tumors with heterogeneous and ring‑like enhancement exhibited higher WHO histopathological grades, while those of homogeneous enhancement were lower. The lesion's margin shape was not associated with the WHO histopathological grade. The present study demonstrates that features of DCE‑MRI and WHO histopathological grade in patients with invasive ductal breast cancer are correlated, and these MRI features could be used to evaluate the biological behavior and prognosis of lesions.

Introduction

Breast cancer is the most common cancer detected in Chinese women in the past 20 years; the incidence rate is rising, and therefore the early detection, diagnosis and treatment are important for the survival and life quality of these patients (16). When assessing the tumorigenic process of breast cancer, the World Health Organization (WHO) histopathological grade is an important indicator that can be used to evaluate the malignant behavior and prognosis of breast cancer. However, histopathological grade can often only be obtained following surgery, thus limiting its roles in selecting the treatment options for breast cancer (710). Magnetic resonance imaging (MRI) allows high soft tissue contrast, multi-directions, multi-parameters and multi-functional imaging, thus it may be used to estimate the lesion size, number, boundary and internal structure more accurately than mammography and ultrasound. Dynamic contrast enhanced MRI (DCE-MRI) is particularly sensitive in revealing the morphological and hemodynamic features of tumors, thus it has increasingly demonstrated its superiority in the diagnosis of breast diseases (1119). The present study retrospectively analyzed the clinical data from DCE-MRI of 92 patients, who were diagnosed with invasive breast cancer using surgical resection or biopsy, with respect to the WHO histopathological grade. The present study ultimately aimed to realize a mechanism of the in vivo evaluation of biological behavior and prognosis of breast cancer, thus facilitating the development of treatment programs.

Materials and methods

Subjects

A total of 142 patients, who were diagnosed using unilateral breast cancer by surgery or biopsy and who recieved DCE-MRI in West China Hospital, Sichuan University, (Sichuan, China) from June 2012 to December 2013, were collected, among which were 127 cases of invasive ductal cancer, 92 cases of tumor-like enhancement lesion, all females, aged 21 to 72 years old, with a mean age of 47.15 years old. The patients did not receive any clinical intervention prior to DCE-MRI examination, including neoadjuvant chemotherapy, hormonal therapy or acupuncture. The study was conducted in accordance with the Declaration of Helsinki (20). This study was conducted with approval from the Ethics Committee of Sichuan University. Written informed consent was obtained from all participants.

MRI examination technique and parameters

The Philips 3.0T MRI (Achieva, Phillips Medical Systems, Netherlands) scanner was used, which was equipped with a breast surface-dedicated phased array coil. The patient was placed in the prone position against the dedicated phased array coil, the breasts naturally hung in the cavity of coil, and remained still during the scanning. The scanning sequence was as follows: i) Fat-suppression T2WI sequence of fast inversion recovery fat suppression sequence (SPAIR): TR 1900 ms, TE 120 ms, TI 150 ms; ii) T1WI sequence of fast spin-echo imaging (TSE): TR 111 ms, TE 9 ms, slice thickness 8 mm, with 20 layers; iii) dynamic contrast enhanced scanning, used the fat suppression T1WI sequence of fast spoiled gradient echo 3D imaging sequence (FLASH-3D): TR 4.2 ms, TE 2.1 ms, flip angle (FA) 100°, slice thickness 1.25 mm, 140 layers, field of vision (FOV) 320×320 mm, matrix 336×336 pixels, each scanning time 50.4 sec, and repeated 10 times; the high-pressure syringe was used to inject Gd-DTPA 0.1 mmol/kg through the hand-dorsal vein, with the flow rate as 2.5 ml/s; iv) post-DCE high-resolution scanning, following DCE, the bilateral breasts were examined with cross-sectional scanning using high-resolution enhanced fat suppression T1WI sequences, TR 4.6 ms, TE 1.73 ms, slice thickness 0.8 mm, FA 100, and the scanning time was 340 sec.

Image evaluation

The images were interpreted by two radiologists who were blind to the results of surgical pathology. The MRI features were described according to the American College of Radiology, Breast Image-Reporting and Data System (ACR BI-RADS) (1). The number, location, size (expressed as long diameter), shape, border and signal of the lesions were recorded, in addition to the enhancement characteristics of early lesions in DCE. Disagreement in features between the pathologists were discussed in order to reach a consensus. MRI features included: i) Tumor size. The delay-phase image was set as the standard, the single lesion was expressed by its maximal diameter, and the multiple lesions were expressed by the maximal diameter of the largest lesion. Primary tumors (T) were divided by their sizes according to the TNM staging of Union for International Cancer Control (UICC) (21): ≤2 cm, 2~5 cm, ≥5 cm (4). ii) Gross shape: Round, oval, lobulated and irregular. iii) Margin: Smooth, irregular and spiculated. iv) Characteristics of internal enhancement: Homogeneous enhancement, heterogeneous enhancement and ring-like enhancement. v) Other signs: Accompanied with or without skin thickening, nipple retraction, lymph node metastasis and clear retromamary space.

WHO histopathological grade

All specimens were examined histologically with hematoxylin-eosin (HE) staining, then evaluated for tumor ductal shape, nuclear atypia and nuclear splitting number according to the WHO histopathological grading method of invasive breast cancer (9), which is divided into 3 grades: Grade 1, well-differentiated; grade 2, moderately differentiated; and grade 3, poorly differentiated.

Statistical analysis

SPSS statistical software, version 19.0 (IBM SPSS, Armonk, NJ, USA) was used to perform statistical analysis. The statistical method used was the χ2 test, with the significance level set as α=0.05.

Results

Characteristics of lesion distribution

Among the 92 patients, the lesion presented in the right breast of 42 patients (45.65%), and 50 cases presented in the left breast (53.35%), and 9 cases exhibited multiple lesions (9.78%), while 83 cases exhibited a single lesion (90.22%).

DCE-MRI signs of lesions

Among the 92 patients, 29 cases presented with a tumor diameter of ≤2.0 cm (31.52%), 53 cases were between 2~5 cm (57.61%), and 10 cases were ≥5.0 cm (10.87%); 3 lesions were round (3.26%), 7 cases were oval (7.61%), 33 cases were lobulated (35.87%), and 49 cases were irregular (53.26%). 11 cases exhibited the smooth margin (11.96%), 47 cases were irregular (51.09%), and 34 cases were spiculated (36.96%). A total of 15 cases exhibited homogeneous enhancement of early lesions (16.30%), 40 cases exhibited heterogeneous enhancement (43.48%), and 37 cases exhibited ring-like enhancement (40.22%).

WHO histopathological grade

A total of 5 cases were classified as grade 1 (1.09%), 30 cases were classified as grade 2 (32.61%), and 57 cases were classified as grade 3 (61.96%).

DCE-MRI features correlate with WHO histopathological grade (Table I)

As presented in Table I, the tumor size, shape and enhancement characteristics of early lesions were associated with the WHO histopathological grade (P=0.012, P=0.004, P=0.000, respectively), namely the larger the tumor diameter, the higher the WHO histopathological grade. Round (Fig. 1) and oval (Fig. 2) masses were a relatively lower WHO histopathological grade, while the lobulated and irregular masses were higher WHO histopathological grades (Figs. 3 and 4). The heterogeneous enhancement (Fig. 5) and ring-like enhancement (Fig. 6) presented as higher WHO histopathological grade, while those with homogeneous enhancement (Fig. 2) presented with lower WHO histopathological grade. The status of the lesion margin, whether smooth (Fig. 1), irregular (Fig. 6) or Spiculated (Fig. 5), was not associated with the WHO histopathological grade (P>0.05).

Discussion

The features revealed from the DCE-MRI scans were diverse and complex and were informed by histopathological features of tumors such as different growth patterns, growth rates and malignant degrees. Theoretically, the relationships between the lesions' imaging features and histopathological features may be used to performed the non-invasive prediction of tumor invasion, thus guiding the treatment selection and improving the prognosis for patients (2226).

The T staging is based on the size of the tumor. A previous study demonstrated that survival rates for breast cancer patients was negatively correlated with their tumor sizes. As the T stage increases, the metastasis rate to the lymph nodes increases, and the degree of differentiation becomes worse, indicating the poor prognosis of tumors (17). In the present study, the lesions were categorized according to the size of primary tumors (T) in the UICC TNM staging, among which 29 cases exhibited a tumor diameter of ≤2.0 cm (31.52%), 53 cases exhibited a 2–5 cm diameter (57.61%), and 10 cases exhibited a diameter of ≥5.0 cm in (10.87%). Tumor size was associated with WHO histopathological grade (P<0.05); as the tumor diameter increased, the degree of differentiation increased.

The tumor shape may reflect the growth pattern and biological characteristics of the tumor to a certain extent. According to the standard of ACR BI-RADS-MRI (2013) (1), tumor shapes may be divided into 4 types: i) Round, referring to the spherical growth of lesions; ii) oval, referring to the oval growth of lesions; iii) lobulated, referring to the edge of lump or nodule appeared the wave-like outline; iv) irregular, referring to the uneven outline of lesions (non-round, oval and lobulated). A lobulated shape results from unbalanced tumor growth rates in all directions and constraints by breast support structure; the tumor growth pattern is in a conglomerate type or expansive type. In the present study, among the 92 cases, the irregular pattern was the most commonly observed (49 cases, 53.26%), and the majority of tumors were WHO histopathologic grade 3 (57 cases, 61.96%). Tumors with a round pattern predominantly presented as WHO histopathological grade 1, while the lobulated and irregular lesions presented with a higher WHO histopathological grade.

The tumor margins may be divided into 3 types: i) Smooth, referring to the clear margin; ii) irregular, uneven margin, round or uneven (non-smooth, non-spiculated); iii) speculated, characterized by radial lines, and with a ‘starry-like’ or ‘crab foot-like’ appearance. Clear margins indicated that the tumor exhibited the extrapolated growth pattern; irregular margins indicated that the tumor exhibited invasive growth patterns; and spiculated margins are widely considered as the typical signs of malignant tumor, indicating that the tumor cells spread in all directions around or stimulated the proliferation of breast condulets and the surrounding fibrous tissues; there may also be the invasion of cancer cells, resulting in pure ductal hyperplasia and fibroplasia (6,7,10). Tozaki et al (11) analyzed 171 lesions of breast masses, and determined that the malignant feature that had the highest positive predictive value was the presence of a speculated margin (100%). The speculated margin may appear in a large proportion of tumors, particularly peripheral lung cancer; however, there remains a controversy about whether there is a correlation between the presence of a speculated margin in breast cancer tumors and the malignant degree. Lamb et al (10) performed ultrasound and mammography X-ray studies, and demonstrated that a speculated margin appeared more commonly in lesions with lower histopathological grade, which represents lower levels of tumor invasion: The authors considered that the speculated margin was the result of reactive hyperplasia of tumor interstitial fibrous connective tissues, which may limit the spread of tumor cells, and it may also be an early protective mechanism against cancer. Lee et al (6) also hypothesized that the speculated margin was more prone to appear in well-differentiated tumors, indicating an improved prognosis in patients. Paradiso et al (18) also reported that tumors with speculated margins exhibited lower aggression, and that endocrine therapy exhibited better results in these tumors. The results of the present study indicated that the tumor margin was not associated to the WHO histopathological grade. Whether the speculated margin is a protective mechanism requires further study.

In the present study, the breast lesions presented with 3 enhancement patterns: i) Homogeneous enhancement, referring to the even consistent enhancement in the entire lesions; ii) heterogeneous enhancement, meaning an absence of characteristic mottle-like diffused enhancement; iii) ring-like enhancement, where the tumor's margin enhancement was much more apparent. When the tumor grew to a certain size, particularly in highly malignant breast cancer cases, the internal blood supply may be deficient, liquefactive necrosis and signs of minor bleeding may occur inside the parenchyma, which may lead to mixed signals in MRI conventional scanning. In enhanced scanning, because the tumor's internal structures are uneven, concentric enhancement which penetrated from the margin to the center would appear, which is an important diagnostic feature of breast cancer, with the diagnostic sensitivity as 100%. It is widely accepted that ring enhancement is an important morphological sign to distinguish between benign and malignant tumors. Buadu et al (23) performed histopathological analysis investigating the ring enhancement of breast lesions, and the results demonstrated that the accumulation of microvessels around the tumor margin was the main cause of DCE-MRI margin enhancement. Kuhl et al (25) demonstrated that nearly two-thirds of breast cancer cases would present with ring enhancement, the tumor's margin ring enhancement was associated with its histopathological characteristics: Partial areas around the tumor had dense angiogenesis, thus the permeability would be increased, the proliferation of tumor cells was active and the interstitial substances would be rich, so that the contrast agent could enter early; while the center of the tumor may have hemorrhage, necrosis, cystic changes and central fibrosis, the densities of tumor blood vessels would be low, and the contrast agent distribution would be lower; the adjacent tissues were predominantly the normal breast glandular tissues, although they may be associated with such changes as atypical hyperplasia, adenosis and cysts. The densities of microvessels were significantly lower than those in the tumor center and tumor-adjacent tissues (25). A previous study demonstrated that the enhancement features of the breast cancer tissue were associated with its tissue differentiation, the proliferation abilities of breast cells increased from low to high in homogeneous enhancement, ring enhancement and heterogeneous enhancement, respectively (17). Lee et al (6) demonstrated that the presence of ring enhancement alone may indicate the high-differentiation of tumors and relatively larger lesions. However, Mussurakis et al (27) reported that ring enhancement was not related with the histopathological prognostic factors. The results of the present study indicated that the DCE-MRI enhancement patterns of tumors were related to the histopathological grades, and that ring enhancement and heterogeneous enhancement often occurred in the high-level breast cancer.

In conclusion, DCE-MRI signs exhibited certain associations with the WHO histopathological grades, and MRI features could be used to evaluate the biological behaviors and prognosis of lesions, thus providing guidance for the clinical treatment.

References

1 

Morris EA, Comstock CE and Lee CH: ACR BI-RADS®. Magnetic Resonance Imaging. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology (Reston, VA). 1–173. 2013.

2 

Trimboli RM, Verardi N, Cartia F, Carbonaro LA and Sardanelli F: Breast cancer detection using double reading of unenhanced MRI including T1-weighted, T2-weighted STIR and diffusion-weighted imaging: A proof of concept study. AJR Am J Roentgenol. 203:674–681. 2014. View Article : Google Scholar : PubMed/NCBI

3 

Oseledchyk A, Kaiser C, Nemes L, Döbler M, Abramian A, Keyver-Paik MD, Leutner C, Schild HH, Kuhn W and Debald M: Preoperative MRI in patients with locoregional recurrent breast cancer: Influence on treatment modalities. Acad Radiol. 21:1276–1285. 2014. View Article : Google Scholar : PubMed/NCBI

4 

Saslow D, Boetes C, Burke W, Harms S, Leach MO, Lehman CD, Morris E, Pisano E, Schnall M, Sener S, et al: American cancer society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin. 57:75–89. 2007. View Article : Google Scholar : PubMed/NCBI

5 

An YY, Kim SH and Kang BJ: Characteristic features and usefulness of MRI in breast cancer in patients under 40 years old: Correlations with conventional imaging and prognostic factors. Breast Cancer. 21:302–315. 2014. View Article : Google Scholar : PubMed/NCBI

6 

Lee SH, Cho N, Kim SJ, Cha JH, Cho KS, Ko ES and Moon WK: Correlation between high resolution dynamic MR features and prognostic factors in breast cancer. Korean J Radiol. 9:10–18. 2008. View Article : Google Scholar : PubMed/NCBI

7 

Szabó BK, Aspelin P, Kristoffersen Wiberg M, Tot T and Boné B: Invasive breast cancer: Correlation of dynamic MR features with prognostic factors. Eur Radiol. 13:2425–2435. 2003. View Article : Google Scholar : PubMed/NCBI

8 

Kim TH, Kang DK, Yim H, Jung YS, Kim KS and Kang SY: Magnetic resonance imaging patterns of tumor regression after neoadjuvant chemotherapy in breast cancer patients: Correlation with histopathological response grading system based on tumor cellularity. J Comput Assist Tomogr. 36:200–206. 2012. View Article : Google Scholar : PubMed/NCBI

9 

Elston CW and Ellis IO: Pathological prognostic factors in breast cancer. I. The value of histopathological grade in breast cancer: Experience from a large study with long-term follow-up. Histopathology. 19:403–410. 1991. View Article : Google Scholar : PubMed/NCBI

10 

Lamb PM, Perry NM, Vinnicombe SJ and Wells CA: Correlation between ultrasound characteristics, mammographic findings and histopathological grade in patients with invasive ductal carcinoma of the breast. Clin Radiol. 55:40–44. 2000. View Article : Google Scholar : PubMed/NCBI

11 

Tozaki M, Igarashi T and Fukuda K: Positive and negative predictive values of BI-RADS-MRI descriptors for focal breast masses. Magn Reson Med Sci. 5:7–15. 2006. View Article : Google Scholar : PubMed/NCBI

12 

Schmitz AM, Loo CE, Wesseling J, Pijnappel RM and Gilhuijs KG: Association between rim enhancement of breast cancer on dynamic contrast-enhanced MRI and patient outcome: Impact of subtype. Breast Cancer Res Treat. 148:541–551. 2014. View Article : Google Scholar : PubMed/NCBI

13 

Van Goethem M, Schelfout K, Dijckmans L, Van Der Auwera JC, Weyler J, Verslegers I, Biltjes I and De Schepper A: MR mammography in the pre-operative staging of breast cancer in patients with dense breast tissue: Comparison with mammography and ultrasound. Eur Radiol. 14:809–816. 2004. View Article : Google Scholar : PubMed/NCBI

14 

He D, Ma D and Jin E: Dynamic MRI-derived parameters for hot and cold spots: Correlation with breast cancer histopathology. J BUON. 17:57–64. 2012.PubMed/NCBI

15 

Buadu LD, Murakami J, Murayama S, Hashiguchi N, Sakai S, Masuda K, Toyoshima S, Kuroki S and Ohno S: Breast lesions: Correlation of contrast medium enhancement patterns on MR images with histopathologic findings and tumor angiogenesis. Radiology. 200:639–649. 1996. View Article : Google Scholar : PubMed/NCBI

16 

Matsubayashi RN, Fujii T, Yasumori K, Muranaka T and Momosaki S: Apparent diffusion coefficient in invasive ductal breast carcinoma: Correlation with detailed histologic features and the enhancement ratio on dynamic contrast-enhanced MR images. J Oncol. 2010:pii: 821048. 2010. View Article : Google Scholar : PubMed/NCBI

17 

Su MY, Baik HM, Yu HJ, Chen JH, Mehta RS and Nalcioglu O: Comparison of choline and pharmacokinetic parameters in breast cancer measured by MR spectroscopic imaging and dynamic contrast enhanced MRI. Technol Cancer Res Treat. 5:401–410. 2006.PubMed/NCBI

18 

Paradiso A, Mangia A, Barletta A, Marzullo F, Ventrella V, Racanelli A, Schittulli F and De Lena M: Mammography and morphobiologic characteristics of human breast cancer. Tumori. 79:422–426. 1993.PubMed/NCBI

19 

Liu H and Peng W: MRI morphological classification of ductal carcinoma in situ (DCIS) correlating with different biological behavior. Eur J Radiol. 81:214–217. 2012. View Article : Google Scholar : PubMed/NCBI

20 

World Medical Association: World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA. 310:2191–2194. 2013. View Article : Google Scholar : PubMed/NCBI

21 

Ellis IO, Schnitt SJ, Sastre-Garau X, Bussolati G, Tavassoli FA, Eusebi V, Peterse JL, Mukai K, Tabár L, Jacquemier J, et al: Tumors of the Breast. WHO Classification of Tumours of the Breast. Lakhani SR, Ellis IO, Schnitt SJ, Tan PH and van de Vijver MJ: 4:(4th). IARC Press. (Lyon, France). 34–38. 2012.

22 

Matsubayashi R, Matsuo Y, Edakuni G, Satoh T, Tokunaga O and Kudo S: Breast masses with peripheral rim enhancement on dynamic contrast-enhanced MR images: Correlation of MR findings with histologic features and expression of growth factors. Radiology. 217:841–848. 2000. View Article : Google Scholar : PubMed/NCBI

23 

Buadu LD, Murakami J, Murayama S, Hashiguchi N, Sakai S, Toyoshima S, Masuda K, Kuroki S and Ohno S: Patterns of peripheral enhancement in breast masses: Correlation of findings on contrast medium enhanced MRI with histologic features and tumor angiogenesis. J Comput Assist Tomogr. 21:421–430. 1997. View Article : Google Scholar : PubMed/NCBI

24 

Partridge SC, Stone KM, Strigel RM, DeMartini WB, Peacock S and Lehman CD: Breast DCE-MRI: Influence of postcontrast timing on automated lesion kinetics assessments and discrimination of benign and malignant lesions. Acad Radiol. 21:1195–1203. 2014. View Article : Google Scholar : PubMed/NCBI

25 

Kuhl CK, Schild HH and Morakkabati N: Dynamic bilateral contrast-enhanced MR imaging of the breast: Trade-off between spatial and temporal resolution. Radiology. 236:789–800. 2005. View Article : Google Scholar : PubMed/NCBI

26 

Wang CH, Yin FF, Horton J and Chang Z: Review of treatment assessment using DCE-MRI in breast cancer radiation therapy. World J Methodol. 4:46–58. 2014. View Article : Google Scholar : PubMed/NCBI

27 

Mussurakis S, Gibbs P and Horsman A: Peripheral enhancement and spatial contrast uptake heterogeneity of primary breast tumours: Quantitative assessment with dynamic MRI. J Comput Assist Tomogr. 22:35–46. 1998. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

May-2016
Volume 11 Issue 5

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
Huang J, Yu J and Peng Y: Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer. Oncol Lett 11: 3522-3526, 2016.
APA
Huang, J., Yu, J., & Peng, Y. (2016). Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer. Oncology Letters, 11, 3522-3526. https://doi.org/10.3892/ol.2016.4422
MLA
Huang, J., Yu, J., Peng, Y."Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer". Oncology Letters 11.5 (2016): 3522-3526.
Chicago
Huang, J., Yu, J., Peng, Y."Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer". Oncology Letters 11, no. 5 (2016): 3522-3526. https://doi.org/10.3892/ol.2016.4422