Contrast-enhanced cone-beam breast-CT: Analysis of optimal acquisition time for discrimination of breast lesion malignancy

被引:24
|
作者
Uhlig, Johannes [1 ]
Fischer, Uwe [2 ]
Surov, Alexey [3 ]
Lotz, Joachim [1 ]
Wienbeck, Susanne [1 ]
机构
[1] Univ Med Ctr Gottingen, Inst Diagnost & Intervent Radiol, Robert Koch Str 40, Gottingen, Germany
[2] Diagnost Breast Ctr Gottingen, Bahnhofsallee 1d, D-37081 Gottingen, Germany
[3] Univ Leipzig, Dept Diagnost & Intervent Radiol, Liebigstr 20, Leipzig, Germany
关键词
Cone-beam breast-CT; Mammography; Breast cancer; Contrast media; Kinetics; CARCINOMA IN-SITU; COMPUTED-TOMOGRAPHY; SCREENING MAMMOGRAPHY; CANCER; DENSITY; MASSES; DIFFERENTIATION; ANGIOGENESIS; ULTRASOUND; CURVES;
D O I
10.1016/j.ejrad.2017.12.003
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: To investigate the optimal acquisition time of contrast-enhanced cone-beam breast-CT (CBBCT) for best discrimination of breast lesion malignancy and whether contrast enhancement can aid in classification of tumor histology. Material and methods: The study included patients with BI-RADS 4 or 5 lesions identified on mammography and/or ultrasound. All patients were examined by non-contrast (NC-CBBCT) and contrast-enhanced CBBCT (CE-CBBCT) at 2 and 3 min after contrast media (CM) injection. Lesion enhancement of suspicious breast lesions was evaluated in corresponding CBBCT slices. Results: A total of 31 patients with 57 breast lesions, 30 malignant and 27 benign, were included. Malignant breast lesions demonstrated higher contrast enhancement than benign breast lesions at both 2 min and 3 min CE-CBBCT (2 min: 48.17 vs. 0.3 HU, p < 0.001; 3 min: 57.38 vs. 15.43 HU, p < 0.001). Enhancement differences between malignant and benign breast lesions were largest at 2 min CE-CBBCT. Ductal carcinoma in situ (DCIS) showed highest mean contrast enhancement among malignant breast lesions (100.93 HU at 3 min CE-CBBCT, p = 0.0314) compared to invasive carcinoma of no special type with DCIS component (55.82 HU at 3 min CE-CBBCT) and invasive ductal carcinoma (52.31 HU at 3 min CE-CBBCT). Conclusions: The contrast enhancement on CE-CBBCT best discriminates between malignant and benign breast lesions at 2 min after CM injection. The enhancement has the potential to differentiate histopathological subtypes, with highest enhancement among malignant lesions seen for DCIS.
引用
收藏
页码:9 / 16
页数:8
相关论文
共 50 条
  • [1] Contrast-enhanced cone-beam breast-CT (CBBCT): clinical performance compared to mammography and MRI
    Wienbeck, Susanne
    Fischer, Uwe
    Luftner-Nagel, Susanne
    Lotz, Joachim
    Uhlig, Johannes
    EUROPEAN RADIOLOGY, 2018, 28 (09) : 3731 - 3741
  • [2] Contrast-Enhanced Cone-Beam Breast CT: An Analysis of Diagnostic Value in Predicting Breast Lesion With Rim Enhancement Malignancy
    Zhao, Xin
    Yang, Jun
    Zuo, Yang
    Kang, Wei
    Liao, Hai
    Zheng, Zhong-Tao
    Su, Dan-Ke
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [3] Optimal acquisition time to discriminate between breast cancer subtypes with contrast-enhanced cone-beam CT
    Chen, J. T.
    Zhou, C. Y.
    He, N.
    Wu, Y. P.
    DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2020, 101 (06) : 391 - 399
  • [4] Contrast Enhancement on Cone-Beam Breast-CT for Discrimination of Breast Cancer Immunohistochemical Subtypes
    Uhlig, Johannes
    Fischer, Uwe
    von Fintel, Eva
    Stahnke, Vera
    Perske, Christina
    Lotz, Joachim
    Wienbeck, Susanne
    TRANSLATIONAL ONCOLOGY, 2017, 10 (06): : 904 - 910
  • [5] Contrast-enhanced cone-beam breast-CT (CBBCT): clinical performance compared to mammography and MRI
    Susanne Wienbeck
    Uwe Fischer
    Susanne Luftner-Nagel
    Joachim Lotz
    Johannes Uhlig
    European Radiology, 2018, 28 : 3731 - 3741
  • [6] The role of cone-beam breast-CT for breast cancer detection relative to breast density
    Wienbeck, Susanne
    Uhlig, Johannes
    Luftner-Nagel, Susanne
    Zapf, Antonia
    Surov, Alexey
    von Fintel, Eva
    Stahnke, Vera
    Lotz, Joachim
    Fischer, Uwe
    EUROPEAN RADIOLOGY, 2017, 27 (12) : 5185 - 5195
  • [7] The role of cone-beam breast-CT for breast cancer detection relative to breast density
    Susanne Wienbeck
    Johannes Uhlig
    Susanne Luftner-Nagel
    Antonia Zapf
    Alexey Surov
    Eva von Fintel
    Vera Stahnke
    Joachim Lotz
    Uwe Fischer
    European Radiology, 2017, 27 : 5185 - 5195
  • [8] Breast lesion size assessment in mastectomy specimens Correlation of cone-beam breast-CT, digital breast tomosynthesis and full-field digital mammography with histopathology
    Wienbeck, Susanne
    Uhlig, Johannes
    Fischer, Uwe
    Hellriegel, Martin
    von Fintel, Eva
    Kulenkampff, Dietrich
    Surov, Alexey
    Lotz, Joachim
    Perske, Christina
    MEDICINE, 2019, 98 (37)
  • [9] Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search
    Ma, Jingchen
    He, Ni
    Yoon, Jin H.
    Ha, Richard
    Li, Jiao
    Ma, Weimei
    Meng, Tiebao
    Lu, Lin
    Schwartz, Lawrence H.
    Wu, Yaopan
    Ye, Zhaoxiang
    Wu, Peihong
    Zhao, Binsheng
    Xie, Chuanmiao
    EUROPEAN JOURNAL OF RADIOLOGY, 2021, 142
  • [10] Novel Breast Imaging and Machine Learning: Predicting Breast Lesion Malignancy at Cone-Beam CT Using Machine Learning Techniques
    Uhlig, Johannes
    Uhlig, Annemarie
    Kunzel, Meike
    Beissbarth, Tim
    Fischer, Uwe
    Lotz, Joachim
    Wienbeck, Susanne
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2018, 211 (02) : W123 - W131