Computed Tomography-Based Radiomics Analysis for Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Patients.

Duan, Yanli; Yang, Guangjie; Miao, Wenjie; Song, Bingxue; Wang, Yangyang; Yan, Lei; Wu, Fengyu; Zhang, Ran; Mao, Yan; Wang, Zhenguang

Duan, Yanli; Yang, Guangjie; Miao, Wenjie; Song, Bingxue; Wang, Yangyang; Yan, Lei; Wu, Fengyu; Zhang, Ran; Mao, Yan; Wang, Zhenguang.

Affiliation

Duan Y; From the Departments of Nuclear Medicine.
Yang G; From the Departments of Nuclear Medicine.
Miao W; From the Departments of Nuclear Medicine.
Song B; Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong.
Wang Y; From the Departments of Nuclear Medicine.
Yan L; From the Departments of Nuclear Medicine.
Wu F; From the Departments of Nuclear Medicine.
Zhang R; Huiying Medical Technology Co, Ltd, Beijing.
Mao Y; Diagnosis and Treatment Centre of Breast Diseases, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Wang Z; From the Departments of Nuclear Medicine.

J Comput Assist Tomogr ; 47(2): 199-204, 2023.

Article in En | MEDLINE | ID: mdl-36790871

Subject(s)

Breast Neoplasms; Computational Biology; Tomography, X-Ray Computed; Computational Biology/standards; Tomography, X-Ray Computed/standards; Neoadjuvant Therapy; Breast Neoplasms/diagnostic imaging; Breast Neoplasms/drug therapy; Predictive Value of Tests; Retrospective Studies; Models, Statistical; Humans; Female; Adult; Middle Aged; Reproducibility of Results

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Tomography, X-Ray Computed / Computational Biology Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Middle aged Language: En Journal: J Comput Assist Tomogr Year: 2023 Type: Article

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