Share：
Share this content in WeChat
X
[Chinese][PDF]740123
• Breast MRI •
The MRI diagnosis of mucinous breast carcinoma
HUA Xiao-lan  HUA Jia  SUO Shi-teng  CHENG Fang  GENG Xiao-chuan  ZHANG Qing  LI Jun  ZHANG Ke-bei 

DOI:10.12015/issn.1674-8034.2017.03.005.


[Abstract] Objective: To analyze MRI features and diagnostic essentials of mucinous breast carcinoma (MBC).Materials and Methods: MRI characteristics of 15 MBC patients confirmed by postoperative pathology were analyzed retrospectively, including the lesions’ location, size, shape, and the signal intensity on T1WI, T2WI, T2WI-FS, and the enhancement features and time-signal intensity curve (TIC) types, and DWI, ADC value. The preoperative breast MRI BI-RADS reports were reviewed as well.Results: Fifteen patients (12 cases of simplex type, 3 cases of mixed type, 4 cases with lymph node metastasis) occurred in left breast in 8 cases (53.3%) and right breast in 7 cases (46.7%). One case (6.7%) located in the central front, another 14 cases (93.3%) located in the peripheral upper or inner area, which was located in the central in 10 cases (66.7%), and the back in 4 cases (26.6%). MRI showed a mass in all the patients, which diameters were 7—45 mm, of which 8 cases (53.3%) showed round, clear boundary or with light leaflets, 7 cases (46.7%) showed irregular shapes, local fuzzy or coarse edge, even combined with burr. On T1WI, all showed iso-or slightly hypo-intensity. On T2WI and SPAIR, all showed hyper-or obvious hyper-intensity. Dynamic enhanced, 9 cases (60%) showed early rim enhancement, and then permeated into the mass, 6 cases (40%) showed heterogeneous enhancement. The TIC curves of 14 cases (93.3%) were gradually enhancing pattern, and just 1 case (6.7%) was plateau pattern. On DWI, there were obviously hyper-intensity in full or partial area, the average ADC value was (2.08±0.44)×10-3 mm2/s when b-value was 800 s/mm2, which was higher than normal breast tissue (1.45±0.56)×10-3 mm2/s .Conclusions: The MRI characteristics of MBC are helpful for the preoperative imaging diagnosis and the prognosis prediction.
[Keywords] Breast neoplasms；Mucinous carcinoma；Magnetic resonance imaging

HUA Xiao-lan Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

HUA Jia Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

SUO Shi-teng Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

CHENG Fang Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

GENG Xiao-chuan Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

ZHANG Qing Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

LI Jun Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

ZHANG Ke-bei* Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

*Correspondence to: Zhang KB, E-mail: zkb008@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This study was funded by the Multidisciplinary Cross-Program Development Fund Project No. YG2014ZD05
Received  2016-12-16
Accepted  2017-01-19
DOI: 10.12015/issn.1674-8034.2017.03.005
DOI:10.12015/issn.1674-8034.2017.03.005.

[1]
Ha KY, Deleon P, Deleon W. Invasive mucinous carcinoma of the breast. Proc (Bayl Univ Med Cent), 2013, 26(3): 295-297.
[2]
Bae SY, Choi MY, Cho DH, et al. Mucinous carcinoma of the breast in comparison with invasive ductal carcinoma: clinicopathologic characteristics and prognosis. J Breast Cancer, 2011, 14(4): 308-313.
[3]
Dhillon R, Depree P, Metcalf C, et al. Screen-detected mucinous breast carcinoma: potential for delayed diagnosis. Clin Radiol, 2006, 61(5): 423-430.
[4]
Mercado CL. BI-RADS update. Radiol Clin North Am, 2014, 52(3): 481-487.
[5]
World Health Organization classification of tumors. Pathology and genetics of tumors of the breast and female genital organs. Lyon: IARC Press, 2012: 49-50.
[6]
Komenaka IK, EI-Tamer MB, Troxel A, et al. Pure mucinous carcinoma of the breast. Am J Surg, 2004, 18(4): 528-532.
[7]
Di Saverio S, Gutierrrez J, Avisar E. A retrospective review with long term follow up of 11, 400 cases of pure mucinous breast carcinoma. Breast Cancer Res Treat, 2008, 111(3): 541-547.
[8]
Liu H, Tan H, Cheng Y, et al. Imaging findings in mucinous breast carcinoma and correlating factors. Eur J Radiol, 2011, 80(3): 706-712.
[9]
Rosen PP, Lesser ML, Kinne DW. Breast carcinoma at the extremes of age: a comparison of patients younger than 35 yeasrs and older than 75 years. J Surg Oncol, 1985, 28(2): 90-96.
[10]
Tsuji K, Goto M, Yuen S, et al. Post-traumatic rapidly enlarging mucinous carcinoma of the breast with intratumoural haemorrhage: MRI appearances with pathological correlation. Br J Radiol, 2011, 84(1002): 118-120.
[11]
Okafuji T, Yabuuchi H, Sakai S, et a1. MR imaging features of pure mucinous carcinoma of the breast. Eur J Radiol, 2006, 60(3): 405-413.
[12]
Norris HJ, Taylor HB. Prognosis of mucinous (gelatinous) carcinoma of the breast. Cancer, 1965, 18(7): 879-885.
[13]
Zhang M, Teng XD, Guo XX, et al. Clinicopathological characteristics and prognosis of mucinous breast carcinoma. J Cancer Res Clin Oncol, 2014, 140(2): 265-269.
[14]
Kashiwagi S, Onoda N, Asano Y, et al. Clinical significance of the sub-classification of 71 cases mucinous breast carcinoma. Springerplus, 2013, 23(2): 481
[15]
Cao AY, He M, Liu ZB, et al. Outcome of pure mucinous breast carcinoma compared to infiltrationg ductal carcinoma: a population-based study from China. Ann Surg Oncol, 2012, 19(9): 3019-3027.
[16]
Monzawa S, Yokokawa M, Sakuma T, et al. Mucinous carcinoma of the breast: MRI features of pure and mixed forms with histopathologic correlation. AJR Am J Roentgenol, 2009, 192(3): 125-131.
[17]
Guo Y, Cai YQ, Cai ZL, et al. Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging, 2002, 16(2): 172-178.
[18]
Woodhams R, Kakita S, Hata H, et a1. Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings. AJR Am J Roentgenol, 2009, 193(1): 260-266.
[19]
Linda A, Zuiani C, Girometti R, et al. Unusual malignant tumors of the breast:MRI features and pathologic correlation. Eur J Radiol, 2010, 75(2): 178-184.
[20]
Stack JP, Redmond OM, Codd MB, et al. Breast disease: tissue characterization with Gd-DTPA enhancement profiles. Radiology, 1990, 174(2): 491-494.

PREV Comparison of DWI IVIM model and mono-exponential model in evaluating the response of neoadjuvant chemotherapy for breast cancer
NEXT Evaluation of brain injury in neonates by magnetization transfer imaging combined amide proton transfer imaging: a preliminary study
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn