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

Chen, J T; Zhou, C Y; He, N; Wu, Y P.

Affiliation

Chen JT; Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 510060 Guangzhou, China.
Zhou CY; Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 510060 Guangzhou, China.
He N; Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 510060 Guangzhou, China.
Wu YP; Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 510060 Guangzhou, China. Electronic address: wuyp@sysucc.org.cn.

Diagn Interv Imaging ; 101(6): 391-399, 2020 Jun.

Article in En | MEDLINE | ID: mdl-32008993

Subject(s)

Breast Neoplasms; Adult; Aged; Breast; Breast Neoplasms/diagnostic imaging; Cone-Beam Computed Tomography; Contrast Media; Female; Humans; Middle Aged; Reproducibility of Results; Sensitivity and Specificity

Key words

Breast neoplasms; Cone beam computed tomography (CBCT); Contrast media; Discrimination; Sensitivity and specificity

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Diagn Interv Imaging Year: 2020 Type: Article Affiliation country: China

Fulltext

XML

PubMed Links

Search on Google