Diagnostic performance of DCE-MRI, multiparametric MRI and multimodality imaging for discrimination of breast non-mass-like enhancement lesions

被引:8
作者
Zang, Hui [1 ]
Liu, Hong-li [1 ]
Zhu, Li-yu [1 ]
Wang, Xiao [1 ]
Wei, Liang-min [2 ]
Lou, Jian-juan [1 ]
Zou, Qi-gui [1 ]
Wang, Si-qi [1 ]
Wang, Shou-ju [1 ]
Jiang, Yan-ni [1 ]
机构
[1] Nanjing Med Univ, Dept Radiol, Affiliated Hosp 1, 300 Guangzhou Rd, Nanjing, Peoples R China
[2] Nanjing Med Univ, Sch Publ Hlth, Dept Biostat, 101 Longmian Ave, Nanjing, Peoples R China
关键词
CANCER;
D O I
10.1259/bjr.20220211
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: The aim of this study was to investigate and compare the diagnostic performance of dynamic contrast-enhanced (DCE)-MRI, multiparametric MRI (mpMRI), and multimodality imaging (MMI) combining mpMRI and mammography (MG) for discriminating breast non-mass-like enhancement (NME) lesions. Methods: This retrospective study enrolled 193 patients with 199 lesions who underwent 3.0 T MRI and MG from January 2017 to December 2019. The features of DCE-MRI, turbo inversion recovery magnitude (TIRM), and diffusion-weighted imaging (DWI) were assessed by two breast radiologists. Then, all lesions were divided into microcalcification and non-microcalcification groups to assess the features of MG. Comparisons were performed between groups using univariate analyses. Then, multivariate analyses were performed to construct diagnostic models for distinguishing NME lesions. Diagnostic performance was evaluated by using the area under the curve (AUC) and the differences between AUCs were evaluated by using the DeLong test. Results: Overall (n = 199), mpMRI outperformed DCE-MRI alone (AUC(mpMRI) = 0.924 vs. AUC(DCE-MRI) = 0.884; p = 0.007). Furthermore, MMI outperformed both mpMRI and MG (the microcalcification group [n = 140]: AUCMMI = 0.997 vs. AUC(mpMRI) = 0.978, p = 0.018 and AUC(MMI) = 0.997 vs. AUCMG = 0.912, p < 0.001; the non-microcalcification group [n = 59]: AUC(MMI) = 0.857 vs. AUC(mpMRI) = 0.768, p = 0.044 and AUC(MMI) = 0.857 vs. AUC(MG) = 0.759, p = 0.039). Conclusion & advances in knowledge: DCE-MRI combined with DWI and TIRM information could improve the diagnostic performance for discriminating NME lesions compared with DCE-MRI alone. Furthermore, MMI combining mpMRI and MG showed better discrimination than both mpMRI and MG.
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页数:10
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共 29 条
[1]   Grading system to categorize breast MRI using BI-RADS 5th edition: a statistical study of non-mass enhancement descriptors in terms of probability of malignancy [J].
Asada, Tatsunori ;
Yamada, Takayuki ;
Kanemaki, Yoshihide ;
Fujiwara, Keishi ;
Okamoto, Satoko ;
Nakajima, Yasuo .
JAPANESE JOURNAL OF RADIOLOGY, 2018, 36 (03) :200-208
[2]   Limited role of DWI with apparent diffusion coefficient mapping in breast lesions presenting as non-mass enhancement on dynamic contrast-enhanced MRI [J].
Avendano, Daly ;
Marino, Maria Adele ;
Leithner, Doris ;
Thakur, Sunitha ;
Bernard-Davila, Blanca ;
Martinez, Danny F. ;
Helbich, Thomas H. ;
Morris, Elizabeth A. ;
Jochelson, Maxine S. ;
Baltzer, Pascal A. T. ;
Clauser, Paola ;
Kapetas, Panagiotis ;
Pinker, Katja .
BREAST CANCER RESEARCH, 2019, 21 (01)
[3]   The MRI characteristics of non-mass enhancement lesions of the breast: associations with malignancy [J].
Aydin, Hale .
BRITISH JOURNAL OF RADIOLOGY, 2019, 92 (1096)
[4]   Malignancy risk of indeterminate mammographic calcification in symptomatic breast clinics [J].
Bansal, Gaurav J. ;
Emanuel, Lauren ;
Kanagasabai, Sesha .
POSTGRADUATE MEDICAL JOURNAL, 2023, 99 (1169) :153-158
[5]   Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values [J].
Bickel, Hubert ;
Pinker, Katja ;
Polanec, Stephan ;
Magometschnigg, Heinrich ;
Wengert, Georg ;
Spick, Claudio ;
Bogner, Wolfgang ;
Bago-Horvath, Zsuzsanna ;
Helbich, Thomas H. ;
Baltzer, Pascal .
EUROPEAN RADIOLOGY, 2017, 27 (05) :1883-1892
[6]   COMPARING THE AREAS UNDER 2 OR MORE CORRELATED RECEIVER OPERATING CHARACTERISTIC CURVES - A NONPARAMETRIC APPROACH [J].
DELONG, ER ;
DELONG, DM ;
CLARKEPEARSON, DI .
BIOMETRICS, 1988, 44 (03) :837-845
[7]   Updates and Revisions to the BI-RADS Magnetic Resonance Imaging Lexicon [J].
Edwards, Sonya D. ;
Lipson, Jafi A. ;
Ikeda, Debra M. ;
Lee, Janie M. .
MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA, 2013, 21 (03) :483-+
[8]   Comparison of turbo inversion recovery magnitude (TIRM) with T2-weighted turbo spin-echo and T1-weighted spin-echo MR imaging in the early diagnosis of acute osteomyelitis in children [J].
Hauer, MP ;
Uhl, M ;
Allmann, HK ;
Laubenberger, J ;
Zimmerhackl, LB ;
Langer, M .
PEDIATRIC RADIOLOGY, 1998, 28 (11) :846-850
[9]   Breast microcalcifications: The lesions in anatomical pathology [J].
Henrot, P. ;
Leroux, A. ;
Barlier, C. ;
Genin, P. .
DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2014, 95 (02) :141-152
[10]   Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI [J].
Hu, Qiyuan ;
Whitney, Heather M. ;
Li, Hui ;
Ji, Yu ;
Liu, Peifang ;
Giger, Maryellen L. .
RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2021, 3 (03)