Mammographic density as an image-based biomarker of therapy response in neoadjuvant-treated breast cancer patients

被引：0
|
作者：
Ida Skarping
Daniel Förnvik
Uffe Heide-Jørgensen
Hanna Sartor
Per Hall
Sophia Zackrisson
Signe Borgquist
机构：
[1] Lund University,Division of Oncology and Pathology, Department of Clinical Sciences
[2] Skane University Hospital,Department of Translational Medicine, Medical Radiation Physics
[3] Lund University,Department of Clinical Epidemiology
[4] Skane University Hospital,Department of Translational Medicine, Diagnostic Radiology
[5] Aarhus University Hospital,Department of Medical Epidemiology and Biostatistics
[6] Lund University,Department of Oncology
[7] Skane University Hospital,undefined
[8] Karolinska Institute,undefined
[9] Department of Oncology,undefined
[10] Aarhus University Hospital,undefined
来源：
Cancer Causes & Control | 2021年 / 32卷
关键词：
Breast cancer; Mammography; Breast density; Neoadjuvant chemotherapy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：251 / 260
页数：9
相关论文
共 50 条
  • [1] Mammographic density as an image-based biomarker of therapy response in neoadjuvant-treated breast cancer patients
    Skarping, Ida
    Fornvik, Daniel
    Heide-Jorgensen, Uffe
    Sartor, Hanna
    Hall, Per
    Zackrisson, Sophia
    Borgquist, Signe
    [J]. CANCER CAUSES & CONTROL, 2021, 32 (03) : 251 - 260
  • [2] Mammographic density to predict response to neoadjuvant systemic breast cancer therapy
    S. Di Cosimo
    C. Depretto
    R. Miceli
    P. Baili
    S. Ljevar
    M. Sant
    V. Cappelletti
    S. Folli
    M. Gennaro
    F. G. De Braud
    G. Bianchi
    A. Vingiani
    G. Pruneri
    A. Marchianò
    E. La Rocca
    M. C. De Santis
    G. P. Scaperrotta
    [J]. Journal of Cancer Research and Clinical Oncology, 2022, 148 : 775 - 781
  • [3] Mammographic density to predict response to neoadjuvant systemic breast cancer therapy
    Di Cosimo, S.
    Depretto, C.
    Miceli, R.
    Baili, P.
    Ljevar, S.
    Sant, M.
    Cappelletti, V
    Folli, S.
    Gennaro, M.
    De Braud, F. G.
    Bianchi, G.
    Vingiani, A.
    Pruneri, G.
    Marchiano, A.
    La Rocca, E.
    De Santis, M. C.
    Scaperrotta, G. P.
    [J]. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2022, 148 (04) : 775 - 781
  • [4] Mammographic density to predict response to neoadjuvant chemotherapy for breast cancer
    Di Cosimo, S.
    Depretto, C.
    Miceli, R.
    Baili, P.
    Sant, M.
    Pruneri, G.
    Vingiani, A.
    Folli, S.
    Bini, M.
    De Santis, M. C.
    Scaperrotta, G.
    [J]. ANNALS OF ONCOLOGY, 2021, 32 : S49 - S49
  • [5] Mammographic breast density: Predictive value for pathological response to neoadjuvant chemotherapy in breast cancer patients
    Elsamany, S.
    Alzahrani, A.
    Abozeed, W. N.
    Rasmy, A.
    Farooq, M. U.
    Elbiomy, M. A.
    Rawah, E.
    Alsaleh, K.
    Abdel-Aziz, N. M.
    [J]. BREAST, 2015, 24 (05): : 576 - 581
  • [6] Circulating tumor DNA in neoadjuvant-treated breast cancer reflects response and survival
    Magbanua, M. J. M.
    Swigart, L. B.
    Wu, H-T
    Hirst, G. L.
    Yau, C.
    Wolf, D. M.
    Tin, A.
    Salari, R.
    Shchegrova, S.
    Pawar, H.
    Delson, A. L.
    DeMichele, A.
    Liu, M. C.
    Chien, A. J.
    Tripathy, D.
    Asare, S.
    Lin, C-H J.
    Billings, P.
    Aleshin, A.
    Sethi, H.
    Louie, M.
    Zimmermann, B.
    Esserman, L. J.
    Veer, L. J. van 't
    [J]. ANNALS OF ONCOLOGY, 2021, 32 (02) : 229 - 239
  • [7] Early response evaluation and prediction in neoadjuvant-treated patients with esophageal cancer
    Theisen, Joerg
    Krause, Bernd
    Peschel, Christian
    Schmid, Roland
    Geinitz, Hans
    Friess, Helmut
    [J]. WORLD JOURNAL OF GASTROINTESTINAL SURGERY, 2009, 1 (01): : 30 - 37
  • [8] The association between body mass index and pathological complete response in neoadjuvant-treated breast cancer patients
    Skarping, Ida
    Blaabjerg Pedersen, Stine
    Fornvik, Daniel
    Zackrisson, Sophia
    Borgquist, Signe
    [J]. ACTA ONCOLOGICA, 2022, 61 (06) : 731 - 737
  • [9] Three-dimensional image-based mechanical modeling for predicting the response of breast cancer to neoadjuvant therapy
    Weis, Jared A.
    Miga, Michael I.
    Yankeelov, Thomas E.
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017, 314 : 494 - 512
  • [10] Predictive value of neutrophil-to-lymphocyte-ratio in neoadjuvant-treated patients with breast cancer
    Alexandra von Au
    Samra Shencoru
    Lorenz Uhlmann
    Luisa Mayer
    Laura Michel
    Markus Wallwiener
    André Hennigs
    Thomas Deutsch
    Fabian Riedel
    Joerg Heil
    Michael Golatta
    Andreas Schneeweiss
    Florian Schütz
    Christoph Domschke
    [J]. Archives of Gynecology and Obstetrics, 2023, 307 : 1105 - 1113
12345