Diagnostic investigation of breast magnetic resonance imaging in malignant and benign mass lesions

被引:6
|
作者
Gity, Masoumeh [1 ,2 ]
Arabkheradmand, Ali [3 ]
Taheri, Elham [1 ]
Shakiba, Madjid [1 ]
机构
[1] Univ Tehran Med Sci, Adv Diagnost & Intervent Radiol Res Ctr ADIR, Tehran, Iran
[2] Univ Tehran Med Sci, Dept Radiol, Med Imaging Ctr, Tehran, Iran
[3] Univ Tehran Med Sci, Inst Canc, Dept Surg, Tehran, Iran
关键词
breast; magnetic resonance imaging; mass; diagnosis; biopsy; POSITIVE PREDICTIVE-VALUE; MR; CANCER; MAMMOGRAPHY; FEATURES;
D O I
10.5114/aoms.2016.62281
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Breast magnetic resonance imaging (BMRI) has been identified as a valuable modality in the diagnosis of breast cancer and monitoring the response to chemotherapy. The aim of this study was to evaluate the relative importance of different descriptors of breast masses in contrast-enhanced breast MRI. Material and methods: In a database of pathologically proven breast lesions, in total 433 masses in 312 patients detected by contrast-enhanced breast MRI were selected. All images were assessed according to the MRI BI-RADS lexicon and those with significant positive MRI findings (BI-RADS categories 3, 4, 5) were enrolled in the study. Results: Mean age of patients was 45.09 +/- 10.5 years. The most frequent BI-RADS score was 4 (60.7%), followed by 3 (27%). Among the morphologic descriptors of the enhancing masses, the findings most strongly associated with malignancy included spiculated margin (60.6%) and irregular shape (38%). Considering the dynamic descriptors, a wash-out pattern in the time-intensity curve was the most powerful finding associated with malignancy (27.9%). Among all breast MRI descriptors, the best odds ratio (OR) in association with malignancy was noted for speculated margin (OR = 10.2) followed by wash-out or plateau curves (OR = 6.1), size greater than 1 cm (OR = 4.3) and irregular shape (OR = 3.1). Conclusions: It seems that morphologic descriptors of MRI BI-RADS for enhancing masses are quite specific, while dynamic descriptors of the masses are highly sensitive. Appropriate consideration and combination of different BI-RADS findings could help in better characterization of enhancing masses on breast MRI, lowering the rate of false positive reports and avoiding unnecessary biopsies.
引用
收藏
页码:1061 / 1069
页数:9
相关论文
共 50 条
  • [21] Diffusion Weighted Magnetic Resonance Imaging for the Classification of Focal Liver Lesions as Benign or Malignant
    Caraiani, Cosmin
    Chiorean, Liliana
    Fenesan, Diana-Ioana
    Lebovici, Andrei
    Feier, Diana
    Gersak, Mirela
    Calin, Adriana Mirela
    Dan, Marian
    Militaru, Claudia
    Mare, Codruta
    Ciobanu, Lidia
    Badea, Radu
    JOURNAL OF GASTROINTESTINAL AND LIVER DISEASES, 2015, 24 (03) : 309 - 317
  • [22] The Value of Diffusion Weighted Magnetic Resonance Imaging in Differentiation of Benign and Malignant Adrenal Lesions
    Kose, Sevgul Kara
    Apaydin, F. Demir
    Esen, Kaan
    Ozgur, Anil
    Kara, Engin
    Erden, Sema
    CUKUROVA MEDICAL JOURNAL, 2013, 38 (04): : 734 - 743
  • [23] Discrimination of benign and malignant breast lesions on dynamic contrast-enhanced magnetic resonance imaging using deep learning
    Zhang, Ming
    He, Guangyuan
    Pan, Changjie
    Yun, Bing
    Shen, Dong
    Meng, Mingzhu
    JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2023, 19 (06) : 1589 - 1596
  • [24] Texture features and pharmacokinetic parameters in differentiating benign and malignant breast lesions by dynamic contrast enhanced magnetic resonance imaging
    Niu, Qingliang
    Jiang, Xiaomei
    Li, Qin
    Zheng, Zhaolong
    Du, Hanwang
    Wu, Shasha
    Zhang, Xuexi
    ONCOLOGY LETTERS, 2018, 16 (04) : 4607 - 4613
  • [25] Differentiation of benign and malignant breast lesions by mechanical imaging
    Vladimir Egorov
    Thomas Kearney
    Stanley B. Pollak
    Chand Rohatgi
    Noune Sarvazyan
    Suren Airapetian
    Stephanie Browning
    Armen Sarvazyan
    Breast Cancer Research and Treatment, 2009, 118 : 67 - 80
  • [26] Differentiation of benign and malignant breast lesions by mechanical imaging
    Egorov, Vladimir
    Kearney, Thomas
    Pollak, Stanley B.
    Rohatgi, Chand
    Sarvazyan, Noune
    Airapetian, Suren
    Browning, Stephanie
    Sarvazyan, Armen
    BREAST CANCER RESEARCH AND TREATMENT, 2009, 118 (01) : 67 - 80
  • [27] The Diagnostic Value of Magnetic Resonance Imaging in Differentiating Benign and Malignant Pediatric Ovarian Tumors
    Janssen, C.
    Littooij, A.
    Fiocco, M.
    Huige, J.
    DeKrijger, R.
    Hulsker, C.
    Goverde, A.
    Zsiros, Z.
    Mavinkurve, A.
    PEDIATRIC BLOOD & CANCER, 2020, 67 : S223 - S223
  • [28] Diagnostic Performance of Magnetic Resonance Imaging in Discriminating Benign and Malignant Soft Tissue Tumors
    Hung, Nguyen Duy
    Tam, Nguyen-Thi
    Huyen, Dang Khanh
    Thi, Nguyen -Van
    Duc, Nguyen Minh
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2023, 16 : 1383 - 1391
  • [29] The diagnostic value of magnetic resonance imaging in differentiating benign and malignant pediatric ovarian tumors
    Janssen, Carlijn L.
    Littooij, Annemieke S.
    Fiocco, Marta
    Huige, Josephine C. B.
    de Krijger, Ronald R.
    Hulsker, Caroline C. C.
    Goverde, Angelique J.
    Zsiros, Jozsef
    Mavinkurve-Groothuis, Annelies M. C.
    PEDIATRIC RADIOLOGY, 2021, 51 (03) : 427 - 434
  • [30] The diagnostic value of magnetic resonance imaging in differentiating benign and malignant pediatric ovarian tumors
    Carlijn L. Janssen
    Annemieke S. Littooij
    Marta Fiocco
    Josephine C. B. Huige
    Ronald R. de Krijger
    Caroline C. C. Hulsker
    Angelique J. Goverde
    József Zsiros
    Annelies M. C. Mavinkurve-Groothuis
    Pediatric Radiology, 2021, 51 : 427 - 434